From 02502846ce005010ece2bcaebcd3ad9b577ac701 Mon Sep 17 00:00:00 2001 From: Fabian Klopfer Date: Fri, 22 Mar 2024 20:23:21 +0100 Subject: [PATCH 01/11] MedicalNetPerceptualSimilarity: Add multi-channel support for 3Dvolumes. The current version of the code in the dev branch already largely supports that besides the following: medicalnet_* require inputs to have a single channel. This PR passes the multi-channel volume channel-wise to the networks and concatenates the resulting feature vectors. The existing code takes care of averaging over channels and spatially. Signed-off-by: Fabian Klopfer --- monai/losses/perceptual.py | 12 ++++++++++-- tests/test_perceptual_loss.py | 10 ++++++++++ 2 files changed, 20 insertions(+), 2 deletions(-) diff --git a/monai/losses/perceptual.py b/monai/losses/perceptual.py index fd61603b03..ee05401641 100644 --- a/monai/losses/perceptual.py +++ b/monai/losses/perceptual.py @@ -211,8 +211,16 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: target = medicalnet_intensity_normalisation(target) # Get model outputs - outs_input = self.model.forward(input) - outs_target = self.model.forward(target) + for ch_idx in range(input.shape[1]): + input_channel = input[:, ch_idx, ...].unsqueeze(1) + target_channel = target[:, ch_idx, ...].unsqueeze(1) + + if ch_idx == 0: + outs_input = self.model.forward(input_channel) + outs_target = self.model.forward(target_channel) + else: + outs_input = torch.cat([outs_input, self.model.forward(input_channel)], dim=1) + outs_target = torch.cat([outs_target, self.model.forward(target_channel)], dim=1) # Normalise through the channels feats_input = normalize_tensor(outs_input) diff --git a/tests/test_perceptual_loss.py b/tests/test_perceptual_loss.py index 02232e6f8d..241e834f9a 100644 --- a/tests/test_perceptual_loss.py +++ b/tests/test_perceptual_loss.py @@ -40,11 +40,21 @@ (2, 1, 64, 64, 64), (2, 1, 64, 64, 64), ], + [ + {"spatial_dims": 3, "network_type": "medicalnet_resnet10_23datasets", "is_fake_3d": False}, + (2, 6, 64, 64, 64), + (2, 6, 64, 64, 64), + ], [ {"spatial_dims": 3, "network_type": "medicalnet_resnet50_23datasets", "is_fake_3d": False}, (2, 1, 64, 64, 64), (2, 1, 64, 64, 64), ], + [ + {"spatial_dims": 3, "network_type": "medicalnet_resnet50_23datasets", "is_fake_3d": False}, + (2, 6, 64, 64, 64), + (2, 6, 64, 64, 64), + ], [ {"spatial_dims": 3, "network_type": "resnet50", "is_fake_3d": True, "pretrained": True, "fake_3d_ratio": 0.2}, (2, 1, 64, 64, 64), From dd84afc8b992ce92f12fa8f32a2ed6b4094d6615 Mon Sep 17 00:00:00 2001 From: Fabian Klopfer Date: Mon, 25 Mar 2024 14:20:07 +0100 Subject: [PATCH 02/11] Add channelwise flag to perceputal loss --- monai/losses/perceptual.py | 40 +++++++++++++++++++++++++++++------ tests/test_perceptual_loss.py | 29 +++++++++++++++++++++++-- 2 files changed, 60 insertions(+), 9 deletions(-) diff --git a/monai/losses/perceptual.py b/monai/losses/perceptual.py index ee05401641..e9d45fa60a 100644 --- a/monai/losses/perceptual.py +++ b/monai/losses/perceptual.py @@ -74,6 +74,7 @@ def __init__( pretrained: bool = True, pretrained_path: str | None = None, pretrained_state_dict_key: str | None = None, + channelwise: bool = False, ): super().__init__() @@ -102,15 +103,18 @@ def __init__( self.spatial_dims = spatial_dims self.perceptual_function: nn.Module if spatial_dims == 3 and is_fake_3d is False: - self.perceptual_function = MedicalNetPerceptualSimilarity(net=network_type, verbose=False) + self.perceptual_function = MedicalNetPerceptualSimilarity(net=network_type, verbose=False, + channelwise=channelwise) elif "radimagenet_" in network_type: - self.perceptual_function = RadImageNetPerceptualSimilarity(net=network_type, verbose=False) + self.perceptual_function = RadImageNetPerceptualSimilarity(net=network_type, verbose=False, + channelwise=channelwise) elif network_type == "resnet50": self.perceptual_function = TorchvisionModelPerceptualSimilarity( net=network_type, pretrained=pretrained, pretrained_path=pretrained_path, pretrained_state_dict_key=pretrained_state_dict_key, + channelwise=channelwise, ) else: self.perceptual_function = LPIPS(pretrained=pretrained, net=network_type, verbose=False) @@ -185,14 +189,21 @@ class MedicalNetPerceptualSimilarity(nn.Module): net: {``"medicalnet_resnet10_23datasets"``, ``"medicalnet_resnet50_23datasets"``} Specifies the network architecture to use. Defaults to ``"medicalnet_resnet10_23datasets"``. verbose: if false, mute messages from torch Hub load function. + channelwise: if True, the loss is returned per channel. Otherwise the loss is averaged over the channels. + Defaults to ``False``. """ - def __init__(self, net: str = "medicalnet_resnet10_23datasets", verbose: bool = False) -> None: + def __init__(self, + net: str = "medicalnet_resnet10_23datasets", + verbose: bool = False, + channelwise: bool = False) -> None: super().__init__() torch.hub._validate_not_a_forked_repo = lambda a, b, c: True self.model = torch.hub.load("warvito/MedicalNet-models", model=net, verbose=verbose) self.eval() + self.channelwise = channelwise + for param in self.parameters(): param.requires_grad = False @@ -206,6 +217,7 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: Args: input: 3D input tensor with shape BCDHW. target: 3D target tensor with shape BCDHW. + """ input = medicalnet_intensity_normalisation(input) target = medicalnet_intensity_normalisation(target) @@ -227,7 +239,10 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: feats_target = normalize_tensor(outs_target) results: torch.Tensor = (feats_input - feats_target) ** 2 - results = spatial_average_3d(results.sum(dim=1, keepdim=True), keepdim=True) + + if self.channelwise: + results = results.sum(dim=1, keepdim=True) + results = spatial_average_3d(results, keepdim=True) return results @@ -260,11 +275,13 @@ class RadImageNetPerceptualSimilarity(nn.Module): verbose: if false, mute messages from torch Hub load function. """ - def __init__(self, net: str = "radimagenet_resnet50", verbose: bool = False) -> None: + def __init__(self, net: str = "radimagenet_resnet50", verbose: bool = False, channelwise: bool = False) -> None: super().__init__() self.model = torch.hub.load("Warvito/radimagenet-models", model=net, verbose=verbose) self.eval() + self.channelwise = channelwise + for param in self.parameters(): param.requires_grad = False @@ -297,7 +314,10 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: feats_target = normalize_tensor(outs_target) results: torch.Tensor = (feats_input - feats_target) ** 2 - results = spatial_average(results.sum(dim=1, keepdim=True), keepdim=True) + + if self.channelwise: + results = results.sum(dim=1, keepdim=True) + results = spatial_average(results, keepdim=True) return results @@ -324,6 +344,7 @@ def __init__( pretrained: bool = True, pretrained_path: str | None = None, pretrained_state_dict_key: str | None = None, + channelwise: bool = False, ) -> None: super().__init__() supported_networks = ["resnet50"] @@ -347,6 +368,8 @@ def __init__( self.model = torchvision.models.feature_extraction.create_feature_extractor(network, [self.final_layer]) self.eval() + self.channelwise = channelwise + for param in self.parameters(): param.requires_grad = False @@ -376,7 +399,10 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: feats_target = normalize_tensor(outs_target) results: torch.Tensor = (feats_input - feats_target) ** 2 - results = spatial_average(results.sum(dim=1, keepdim=True), keepdim=True) + + if self.channelwise: + results = results.sum(dim=1, keepdim=True) + results = spatial_average(results, keepdim=True) return results diff --git a/tests/test_perceptual_loss.py b/tests/test_perceptual_loss.py index 241e834f9a..8ef347b880 100644 --- a/tests/test_perceptual_loss.py +++ b/tests/test_perceptual_loss.py @@ -30,11 +30,18 @@ ], [{"spatial_dims": 2, "network_type": "radimagenet_resnet50"}, (2, 1, 64, 64), (2, 1, 64, 64)], [{"spatial_dims": 2, "network_type": "radimagenet_resnet50"}, (2, 3, 64, 64), (2, 3, 64, 64)], + [{"spatial_dims": 2, "network_type": "radimagenet_resnet50", "channelwise": True}, (2, 3, 64, 64), (2, 3, 64, 64)], [ {"spatial_dims": 3, "network_type": "radimagenet_resnet50", "is_fake_3d": True, "fake_3d_ratio": 0.1}, (2, 1, 64, 64, 64), (2, 1, 64, 64, 64), ], + [ + {"spatial_dims": 3, "network_type": "radimagenet_resnet50", "is_fake_3d": True, "fake_3d_ratio": 0.1, + 'channelwise': True}, + (2, 1, 64, 64, 64), + (2, 1, 64, 64, 64), + ], [ {"spatial_dims": 3, "network_type": "medicalnet_resnet10_23datasets", "is_fake_3d": False}, (2, 1, 64, 64, 64), @@ -45,6 +52,11 @@ (2, 6, 64, 64, 64), (2, 6, 64, 64, 64), ], + [ + {"spatial_dims": 3, "network_type": "medicalnet_resnet10_23datasets", "is_fake_3d": False, "channelwise": True}, + (2, 6, 64, 64, 64), + (2, 6, 64, 64, 64), + ], [ {"spatial_dims": 3, "network_type": "medicalnet_resnet50_23datasets", "is_fake_3d": False}, (2, 1, 64, 64, 64), @@ -60,6 +72,11 @@ (2, 1, 64, 64, 64), (2, 1, 64, 64, 64), ], + [ + {"spatial_dims": 3, "network_type": "resnet50", "pretrained": True, "fake_3d_ratio": 0.2, "channelwise": True}, + (2, 3, 64, 64, 64), + (2, 3, 64, 64, 64), + ], ] @@ -73,7 +90,11 @@ def test_shape(self, input_param, input_shape, target_shape): with skip_if_downloading_fails(): loss = PerceptualLoss(**input_param) result = loss(torch.randn(input_shape), torch.randn(target_shape)) - self.assertEqual(result.shape, torch.Size([])) + + if 'channelwise' in input_param.keys() and input_param['channelwise']: + self.assertEqual(result.shape, torch.Size([input_shape[1]])) + else: + self.assertEqual(result.shape, torch.Size([])) @parameterized.expand(TEST_CASES) def test_identical_input(self, input_param, input_shape, target_shape): @@ -81,7 +102,11 @@ def test_identical_input(self, input_param, input_shape, target_shape): loss = PerceptualLoss(**input_param) tensor = torch.randn(input_shape) result = loss(tensor, tensor) - self.assertEqual(result, torch.Tensor([0.0])) + + if 'channelwise' in input_param.keys() and input_param['channelwise']: + self.assertEqual(result, torch.Tensor([0.0] * input_shape[1])) + else: + self.assertEqual(result, torch.Tensor([0.0])) def test_different_shape(self): with skip_if_downloading_fails(): From 94d56cbe3d0b322487467ff394bb211b9a8c9d06 Mon Sep 17 00:00:00 2001 From: Fabian Klopfer Date: Mon, 25 Mar 2024 16:13:15 +0100 Subject: [PATCH 03/11] Correct code formatting Signed-off-by: Fabian Klopfer --- monai/losses/perceptual.py | 17 +++++++++-------- tests/test_perceptual_loss.py | 13 +++++++++---- 2 files changed, 18 insertions(+), 12 deletions(-) diff --git a/monai/losses/perceptual.py b/monai/losses/perceptual.py index e9d45fa60a..174c14671f 100644 --- a/monai/losses/perceptual.py +++ b/monai/losses/perceptual.py @@ -103,11 +103,13 @@ def __init__( self.spatial_dims = spatial_dims self.perceptual_function: nn.Module if spatial_dims == 3 and is_fake_3d is False: - self.perceptual_function = MedicalNetPerceptualSimilarity(net=network_type, verbose=False, - channelwise=channelwise) + self.perceptual_function = MedicalNetPerceptualSimilarity( + net=network_type, verbose=False, channelwise=channelwise + ) elif "radimagenet_" in network_type: - self.perceptual_function = RadImageNetPerceptualSimilarity(net=network_type, verbose=False, - channelwise=channelwise) + self.perceptual_function = RadImageNetPerceptualSimilarity( + net=network_type, verbose=False, channelwise=channelwise + ) elif network_type == "resnet50": self.perceptual_function = TorchvisionModelPerceptualSimilarity( net=network_type, @@ -193,10 +195,9 @@ class MedicalNetPerceptualSimilarity(nn.Module): Defaults to ``False``. """ - def __init__(self, - net: str = "medicalnet_resnet10_23datasets", - verbose: bool = False, - channelwise: bool = False) -> None: + def __init__( + self, net: str = "medicalnet_resnet10_23datasets", verbose: bool = False, channelwise: bool = False + ) -> None: super().__init__() torch.hub._validate_not_a_forked_repo = lambda a, b, c: True self.model = torch.hub.load("warvito/MedicalNet-models", model=net, verbose=verbose) diff --git a/tests/test_perceptual_loss.py b/tests/test_perceptual_loss.py index 8ef347b880..928221845e 100644 --- a/tests/test_perceptual_loss.py +++ b/tests/test_perceptual_loss.py @@ -37,8 +37,13 @@ (2, 1, 64, 64, 64), ], [ - {"spatial_dims": 3, "network_type": "radimagenet_resnet50", "is_fake_3d": True, "fake_3d_ratio": 0.1, - 'channelwise': True}, + { + "spatial_dims": 3, + "network_type": "radimagenet_resnet50", + "is_fake_3d": True, + "fake_3d_ratio": 0.1, + "channelwise": True, + }, (2, 1, 64, 64, 64), (2, 1, 64, 64, 64), ], @@ -91,7 +96,7 @@ def test_shape(self, input_param, input_shape, target_shape): loss = PerceptualLoss(**input_param) result = loss(torch.randn(input_shape), torch.randn(target_shape)) - if 'channelwise' in input_param.keys() and input_param['channelwise']: + if "channelwise" in input_param.keys() and input_param["channelwise"]: self.assertEqual(result.shape, torch.Size([input_shape[1]])) else: self.assertEqual(result.shape, torch.Size([])) @@ -103,7 +108,7 @@ def test_identical_input(self, input_param, input_shape, target_shape): tensor = torch.randn(input_shape) result = loss(tensor, tensor) - if 'channelwise' in input_param.keys() and input_param['channelwise']: + if "channelwise" in input_param.keys() and input_param["channelwise"]: self.assertEqual(result, torch.Tensor([0.0] * input_shape[1])) else: self.assertEqual(result, torch.Tensor([0.0])) From 4664a6230da9dbe989f229d811d588a65dc638bc Mon Sep 17 00:00:00 2001 From: Fabian Klopfer Date: Mon, 25 Mar 2024 18:44:52 +0100 Subject: [PATCH 04/11] PerceptualLoss: correct summation over features per channel, calculate mean over batch dimension only and squeeze the output of the perceptual function instead Signed-off-by: Fabian Klopfer --- monai/losses/perceptual.py | 45 +++++++++++++++++------------------ tests/test_perceptual_loss.py | 21 ++-------------- 2 files changed, 24 insertions(+), 42 deletions(-) diff --git a/monai/losses/perceptual.py b/monai/losses/perceptual.py index 174c14671f..a691912184 100644 --- a/monai/losses/perceptual.py +++ b/monai/losses/perceptual.py @@ -87,6 +87,9 @@ def __init__( "Argument is_fake_3d must be set to False." ) + if channelwise and "medicalnet_" not in network_type: + raise ValueError("Channelwise loss is only compatible with MedicalNet networks.") + if network_type.lower() not in list(PercetualNetworkType): raise ValueError( "Unrecognised criterion entered for Adversarial Loss. Must be one in: %s" @@ -107,16 +110,13 @@ def __init__( net=network_type, verbose=False, channelwise=channelwise ) elif "radimagenet_" in network_type: - self.perceptual_function = RadImageNetPerceptualSimilarity( - net=network_type, verbose=False, channelwise=channelwise - ) + self.perceptual_function = RadImageNetPerceptualSimilarity(net=network_type, verbose=False) elif network_type == "resnet50": self.perceptual_function = TorchvisionModelPerceptualSimilarity( net=network_type, pretrained=pretrained, pretrained_path=pretrained_path, pretrained_state_dict_key=pretrained_state_dict_key, - channelwise=channelwise, ) else: self.perceptual_function = LPIPS(pretrained=pretrained, net=network_type, verbose=False) @@ -176,9 +176,9 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: loss = loss_sagittal + loss_axial + loss_coronal else: # 2D and real 3D cases - loss = self.perceptual_function(input, target) + loss = self.perceptual_function(input, target).squeeze() - return torch.mean(loss) + return torch.mean(loss, dim=0) class MedicalNetPerceptualSimilarity(nn.Module): @@ -224,6 +224,7 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: target = medicalnet_intensity_normalisation(target) # Get model outputs + feats_per_ch = None for ch_idx in range(input.shape[1]): input_channel = input[:, ch_idx, ...].unsqueeze(1) target_channel = target[:, ch_idx, ...].unsqueeze(1) @@ -231,6 +232,7 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: if ch_idx == 0: outs_input = self.model.forward(input_channel) outs_target = self.model.forward(target_channel) + feats_per_ch = outs_input.shape[1] else: outs_input = torch.cat([outs_input, self.model.forward(input_channel)], dim=1) outs_target = torch.cat([outs_target, self.model.forward(target_channel)], dim=1) @@ -239,10 +241,18 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: feats_input = normalize_tensor(outs_input) feats_target = normalize_tensor(outs_target) - results: torch.Tensor = (feats_input - feats_target) ** 2 - + feats_diff: torch.Tensor = (feats_input - feats_target) ** 2 if self.channelwise: - results = results.sum(dim=1, keepdim=True) + results = torch.zeros( + feats_diff.shape[0], input.shape[1], feats_diff.shape[2], feats_diff.shape[3], feats_diff.shape[4] + ) + for i in range(input.shape[1]): + l_idx = i * feats_per_ch + r_idx = (i + 1) * feats_per_ch + results[:, i, ...] = feats_diff[:, l_idx : i + r_idx, ...].sum(dim=1) + else: + results = feats_diff.sum(dim=1, keepdim=True) + results = spatial_average_3d(results, keepdim=True) return results @@ -276,13 +286,11 @@ class RadImageNetPerceptualSimilarity(nn.Module): verbose: if false, mute messages from torch Hub load function. """ - def __init__(self, net: str = "radimagenet_resnet50", verbose: bool = False, channelwise: bool = False) -> None: + def __init__(self, net: str = "radimagenet_resnet50", verbose: bool = False) -> None: super().__init__() self.model = torch.hub.load("Warvito/radimagenet-models", model=net, verbose=verbose) self.eval() - self.channelwise = channelwise - for param in self.parameters(): param.requires_grad = False @@ -315,10 +323,7 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: feats_target = normalize_tensor(outs_target) results: torch.Tensor = (feats_input - feats_target) ** 2 - - if self.channelwise: - results = results.sum(dim=1, keepdim=True) - results = spatial_average(results, keepdim=True) + results = spatial_average(results.sum(dim=1, keepdim=True), keepdim=True) return results @@ -345,7 +350,6 @@ def __init__( pretrained: bool = True, pretrained_path: str | None = None, pretrained_state_dict_key: str | None = None, - channelwise: bool = False, ) -> None: super().__init__() supported_networks = ["resnet50"] @@ -369,8 +373,6 @@ def __init__( self.model = torchvision.models.feature_extraction.create_feature_extractor(network, [self.final_layer]) self.eval() - self.channelwise = channelwise - for param in self.parameters(): param.requires_grad = False @@ -400,10 +402,7 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: feats_target = normalize_tensor(outs_target) results: torch.Tensor = (feats_input - feats_target) ** 2 - - if self.channelwise: - results = results.sum(dim=1, keepdim=True) - results = spatial_average(results, keepdim=True) + results = spatial_average(results.sum(dim=1, keepdim=True), keepdim=True) return results diff --git a/tests/test_perceptual_loss.py b/tests/test_perceptual_loss.py index 928221845e..dc7d9155f3 100644 --- a/tests/test_perceptual_loss.py +++ b/tests/test_perceptual_loss.py @@ -18,7 +18,7 @@ from monai.losses import PerceptualLoss from monai.utils import optional_import -from tests.utils import SkipIfBeforePyTorchVersion, skip_if_downloading_fails, skip_if_quick +from tests.utils import SkipIfBeforePyTorchVersion, assert_allclose, skip_if_downloading_fails, skip_if_quick _, has_torchvision = optional_import("torchvision") TEST_CASES = [ @@ -30,23 +30,11 @@ ], [{"spatial_dims": 2, "network_type": "radimagenet_resnet50"}, (2, 1, 64, 64), (2, 1, 64, 64)], [{"spatial_dims": 2, "network_type": "radimagenet_resnet50"}, (2, 3, 64, 64), (2, 3, 64, 64)], - [{"spatial_dims": 2, "network_type": "radimagenet_resnet50", "channelwise": True}, (2, 3, 64, 64), (2, 3, 64, 64)], [ {"spatial_dims": 3, "network_type": "radimagenet_resnet50", "is_fake_3d": True, "fake_3d_ratio": 0.1}, (2, 1, 64, 64, 64), (2, 1, 64, 64, 64), ], - [ - { - "spatial_dims": 3, - "network_type": "radimagenet_resnet50", - "is_fake_3d": True, - "fake_3d_ratio": 0.1, - "channelwise": True, - }, - (2, 1, 64, 64, 64), - (2, 1, 64, 64, 64), - ], [ {"spatial_dims": 3, "network_type": "medicalnet_resnet10_23datasets", "is_fake_3d": False}, (2, 1, 64, 64, 64), @@ -77,11 +65,6 @@ (2, 1, 64, 64, 64), (2, 1, 64, 64, 64), ], - [ - {"spatial_dims": 3, "network_type": "resnet50", "pretrained": True, "fake_3d_ratio": 0.2, "channelwise": True}, - (2, 3, 64, 64, 64), - (2, 3, 64, 64, 64), - ], ] @@ -109,7 +92,7 @@ def test_identical_input(self, input_param, input_shape, target_shape): result = loss(tensor, tensor) if "channelwise" in input_param.keys() and input_param["channelwise"]: - self.assertEqual(result, torch.Tensor([0.0] * input_shape[1])) + assert_allclose(result, torch.Tensor([0.0] * input_shape[1])) else: self.assertEqual(result, torch.Tensor([0.0])) From a7aae867f6c6d6e9440faba00109df2ef950810e Mon Sep 17 00:00:00 2001 From: Fabian Klopfer Date: Mon, 25 Mar 2024 18:55:29 +0100 Subject: [PATCH 05/11] Fixup flake type error Signed-off-by: Fabian Klopfer --- monai/losses/perceptual.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/monai/losses/perceptual.py b/monai/losses/perceptual.py index a691912184..86580b5887 100644 --- a/monai/losses/perceptual.py +++ b/monai/losses/perceptual.py @@ -224,7 +224,7 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: target = medicalnet_intensity_normalisation(target) # Get model outputs - feats_per_ch = None + feats_per_ch = 0 for ch_idx in range(input.shape[1]): input_channel = input[:, ch_idx, ...].unsqueeze(1) target_channel = target[:, ch_idx, ...].unsqueeze(1) From af33a8e0e38a312c5fb323344859bd2e1b9fdb65 Mon Sep 17 00:00:00 2001 From: Fabian Klopfer Date: Wed, 3 Apr 2024 20:21:48 +0200 Subject: [PATCH 06/11] fix typo: channelwise to channel_wise Signed-off-by: Fabian Klopfer --- monai/losses/perceptual.py | 17 ++++++++++------- 1 file changed, 10 insertions(+), 7 deletions(-) diff --git a/monai/losses/perceptual.py b/monai/losses/perceptual.py index 86580b5887..229969e8eb 100644 --- a/monai/losses/perceptual.py +++ b/monai/losses/perceptual.py @@ -45,6 +45,7 @@ class PerceptualLoss(nn.Module): The fake 3D implementation is based on a 2.5D approach where we calculate the 2D perceptual loss on slices from all three axes and average. The full 3D approach uses a 3D network to calculate the perceptual loss. + MedicalNet networks are only compatible with 3D inputs and support channelwise loss. Args: spatial_dims: number of spatial dimensions. @@ -62,6 +63,8 @@ class PerceptualLoss(nn.Module): pretrained_state_dict_key: if `pretrained_path` is not `None`, this argument is used to extract the expected state dict. This argument only works when ``"network_type"`` is "resnet50". Defaults to `None`. + channel_wise: if True, the loss is returned per channel. Otherwise the loss is averaged over the channels. + Defaults to ``False``. """ def __init__( @@ -74,7 +77,7 @@ def __init__( pretrained: bool = True, pretrained_path: str | None = None, pretrained_state_dict_key: str | None = None, - channelwise: bool = False, + channel_wise: bool = False, ): super().__init__() @@ -87,7 +90,7 @@ def __init__( "Argument is_fake_3d must be set to False." ) - if channelwise and "medicalnet_" not in network_type: + if channel_wise and "medicalnet_" not in network_type: raise ValueError("Channelwise loss is only compatible with MedicalNet networks.") if network_type.lower() not in list(PercetualNetworkType): @@ -107,7 +110,7 @@ def __init__( self.perceptual_function: nn.Module if spatial_dims == 3 and is_fake_3d is False: self.perceptual_function = MedicalNetPerceptualSimilarity( - net=network_type, verbose=False, channelwise=channelwise + net=network_type, verbose=False, channel_wise=channel_wise ) elif "radimagenet_" in network_type: self.perceptual_function = RadImageNetPerceptualSimilarity(net=network_type, verbose=False) @@ -191,19 +194,19 @@ class MedicalNetPerceptualSimilarity(nn.Module): net: {``"medicalnet_resnet10_23datasets"``, ``"medicalnet_resnet50_23datasets"``} Specifies the network architecture to use. Defaults to ``"medicalnet_resnet10_23datasets"``. verbose: if false, mute messages from torch Hub load function. - channelwise: if True, the loss is returned per channel. Otherwise the loss is averaged over the channels. + channel_wise: if True, the loss is returned per channel. Otherwise the loss is averaged over the channels. Defaults to ``False``. """ def __init__( - self, net: str = "medicalnet_resnet10_23datasets", verbose: bool = False, channelwise: bool = False + self, net: str = "medicalnet_resnet10_23datasets", verbose: bool = False, channel_wise: bool = False ) -> None: super().__init__() torch.hub._validate_not_a_forked_repo = lambda a, b, c: True self.model = torch.hub.load("warvito/MedicalNet-models", model=net, verbose=verbose) self.eval() - self.channelwise = channelwise + self.channel_wise = channel_wise for param in self.parameters(): param.requires_grad = False @@ -242,7 +245,7 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: feats_target = normalize_tensor(outs_target) feats_diff: torch.Tensor = (feats_input - feats_target) ** 2 - if self.channelwise: + if self.channel_wise: results = torch.zeros( feats_diff.shape[0], input.shape[1], feats_diff.shape[2], feats_diff.shape[3], feats_diff.shape[4] ) From b2bd8be8c72ccc249e96e34c743e2e1afee757fb Mon Sep 17 00:00:00 2001 From: Fabian Klopfer Date: Fri, 5 Apr 2024 18:06:03 +0200 Subject: [PATCH 07/11] correct typo in doc strings and tests too Signed-off-by: Fabian Klopfer --- monai/losses/perceptual.py | 4 ++-- tests/test_perceptual_loss.py | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/monai/losses/perceptual.py b/monai/losses/perceptual.py index 229969e8eb..6a512a292f 100644 --- a/monai/losses/perceptual.py +++ b/monai/losses/perceptual.py @@ -45,7 +45,7 @@ class PerceptualLoss(nn.Module): The fake 3D implementation is based on a 2.5D approach where we calculate the 2D perceptual loss on slices from all three axes and average. The full 3D approach uses a 3D network to calculate the perceptual loss. - MedicalNet networks are only compatible with 3D inputs and support channelwise loss. + MedicalNet networks are only compatible with 3D inputs and support channel-wise loss. Args: spatial_dims: number of spatial dimensions. @@ -91,7 +91,7 @@ def __init__( ) if channel_wise and "medicalnet_" not in network_type: - raise ValueError("Channelwise loss is only compatible with MedicalNet networks.") + raise ValueError("Channel-wise loss is only compatible with MedicalNet networks.") if network_type.lower() not in list(PercetualNetworkType): raise ValueError( diff --git a/tests/test_perceptual_loss.py b/tests/test_perceptual_loss.py index dc7d9155f3..588a9083b8 100644 --- a/tests/test_perceptual_loss.py +++ b/tests/test_perceptual_loss.py @@ -46,7 +46,7 @@ (2, 6, 64, 64, 64), ], [ - {"spatial_dims": 3, "network_type": "medicalnet_resnet10_23datasets", "is_fake_3d": False, "channelwise": True}, + {"spatial_dims": 3, "network_type": "medicalnet_resnet10_23datasets", "is_fake_3d": False, "channel_wise": True}, (2, 6, 64, 64, 64), (2, 6, 64, 64, 64), ], @@ -79,7 +79,7 @@ def test_shape(self, input_param, input_shape, target_shape): loss = PerceptualLoss(**input_param) result = loss(torch.randn(input_shape), torch.randn(target_shape)) - if "channelwise" in input_param.keys() and input_param["channelwise"]: + if "channel_wise" in input_param.keys() and input_param["channel_wise"]: self.assertEqual(result.shape, torch.Size([input_shape[1]])) else: self.assertEqual(result.shape, torch.Size([])) @@ -91,7 +91,7 @@ def test_identical_input(self, input_param, input_shape, target_shape): tensor = torch.randn(input_shape) result = loss(tensor, tensor) - if "channelwise" in input_param.keys() and input_param["channelwise"]: + if "channel_wise" in input_param.keys() and input_param["channel_wise"]: assert_allclose(result, torch.Tensor([0.0] * input_shape[1])) else: self.assertEqual(result, torch.Tensor([0.0])) From 29e187d7a6d06e4750f7a33a8dc32e322c210a85 Mon Sep 17 00:00:00 2001 From: Fabian Klopfer Date: Tue, 9 Apr 2024 16:21:08 +0200 Subject: [PATCH 08/11] fix formatting Signed-off-by: Fabian Klopfer --- tags | 51188 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*\/:root,[data-bs-theme=light]{--bs-blue:#0d6efd;--bs-indigo:#6610f2;--bs-purple:#6f42c1;--bs-p/;" c +.bs-popover-auto[data-popper-placement^=top] >.popover-arrow:after docs/build/html/_static/styles/bootstrap.css /^ *\/:root,[data-bs-theme=light]{--bs-blue:#0d6efd;--bs-indigo:#6610f2;--bs-purple:#6f42c1;--bs-p/;" c +.bs-popover-auto[data-popper-placement^=top] >.popover-arrow:before docs/build/html/_static/styles/bootstrap.css /^ *\/:root,[data-bs-theme=light]{--bs-blue:#0d6efd;--bs-indigo:#6610f2;--bs-purple:#6f42c1;--bs-p/;" c +.bs-popover-bottom .popover-header:before docs/build/html/_static/styles/bootstrap.css /^ *\/:root,[data-bs-theme=light]{--bs-blue:#0d6efd;--bs-indigo:#6610f2;--bs-purple:#6f42c1;--bs-p/;" c +.bs-popover-bottom>.popover-arrow docs/build/html/_static/styles/bootstrap.css /^ *\/:root,[data-bs-theme=light]{--bs-blue:#0d6efd;--bs-indigo:#6610f2;--bs-purple:#6f42c1;--bs-p/;" c +.bs-popover-bottom>.popover-arrow:after docs/build/html/_static/styles/bootstrap.css /^ 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/^<div class="viewcode-block" id="HoVerNetBranch">$/;" I +HoVerNetBranch monai/utils/enums.py /^class HoVerNetBranch(StrEnum):$/;" c +HoVerNetInstanceMapPostProcessing docs/build/html/_modules/monai/apps/pathology/transforms/post/array.html /^<div class="viewcode-block" id="HoVerNetInstanceMapPostProcessing">$/;" I +HoVerNetInstanceMapPostProcessing monai/apps/pathology/transforms/post/array.py /^class HoVerNetInstanceMapPostProcessing(Transform):$/;" c +HoVerNetInstanceMapPostProcessingDict monai/apps/pathology/transforms/post/dictionary.py /^HoVerNetInstanceMapPostProcessingDict = HoVerNetInstanceMapPostProcessingD = HoVerNetInstanceMap/;" v +HoVerNetInstanceMapPostProcessingd docs/build/html/_modules/monai/apps/pathology/transforms/post/dictionary.html /^<div class="viewcode-block" id="HoVerNetInstanceMapPostProcessingd">$/;" I +HoVerNetInstanceMapPostProcessingd monai/apps/pathology/transforms/post/dictionary.py /^class HoVerNetInstanceMapPostProcessingd(Transform):$/;" c 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/^HoVerNetNuclearTypePostProcessingDict = HoVerNetNuclearTypePostProcessingD = HoVerNetNuclearType/;" v +HoVerNetNuclearTypePostProcessingd docs/build/html/_modules/monai/apps/pathology/transforms/post/dictionary.html /^<div class="viewcode-block" id="HoVerNetNuclearTypePostProcessingd">$/;" I +HoVerNetNuclearTypePostProcessingd monai/apps/pathology/transforms/post/dictionary.py /^class HoVerNetNuclearTypePostProcessingd(Transform):$/;" c +Hovernet monai/networks/nets/hovernet.py /^Hovernet = HoVernet = HoverNet = HoVerNet$/;" v +How Lazy Resampling changes preprocessing docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +How Lazy Resampling changes preprocessing docs/source/lazy_resampling.rst /^How Lazy Resampling changes preprocessing$/;" c title:Lazy Resampling +How Lazy Resampling changes preprocessing# docs/build/html/lazy_resampling.html /^<h2>How 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docs/build/html/genindex.html /^<h2 id="I">I<\/h2>$/;" i +I tests/test_flatten_sub_keysd.py /^I = torch.randn(2, 3)$/;" v +I/O, processing and augmentation docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +I/O, processing and augmentation docs/source/modules.md /^## I\/O, processing and augmentation$/;" s chapter:Modules +I/O, processing and augmentation# docs/build/html/modules.html /^<h2>I\/O, processing and augmentation<a class="headerlink" href="#i-o-processing-and-augmentatio/;" i +ID monai/apps/mmars/model_desc.py /^ ID = "id" # unique MMAR$/;" v class:RemoteMMARKeys +ID monai/utils/enums.py /^ ID = "id"$/;" v class:BundlePropertyConfig +ID monai/utils/enums.py /^ ID = "identifier"$/;" v class:AlgoEnsembleKeys +ID monai/utils/enums.py /^ ID = "identifier"$/;" v class:AlgoKeys +ID monai/utils/enums.py /^ ID: str = "id"$/;" v class:TraceKeys 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docs/build/html/_modules/monai/bundle/config_item.html /^<div class="viewcode-block" id="Instantiable.is_disabled">$/;" I +Instantiate a Python object docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +Instantiate a Python object docs/source/config_syntax.md /^### Instantiate a Python object$/;" S section:MONAI Bundle Configuration""Syntax examples explained +Instantiate a Python object# docs/build/html/config_syntax.html /^<h3>Instantiate a Python object<a class="headerlink" href="#instantiate-a-python-object" title="/;" j +Integrating MONAI Generative into MONAI Core docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +Integrating MONAI Generative into MONAI Core docs/source/whatsnew_1_3.md /^## Integrating MONAI Generative 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/^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" c class:Qc +JointBilateralFilterCpuBackward monai/csrc/filtering/trainable_joint_bilateral/jbf_layer_cpu_backward.cpp /^std::tuple<torch::Tensor, torch::Tensor> JointBilateralFilterCpuBackward($/;" f typeref:typename:std::tuple<torch::Tensor,torch::Tensor> +JointBilateralFilterCpuBackward_3d monai/csrc/filtering/trainable_joint_bilateral/jbf_layer_cpu_backward.cpp /^void JointBilateralFilterCpuBackward_3d($/;" f typeref:typename:void +JointBilateralFilterCpuForward monai/csrc/filtering/trainable_joint_bilateral/jbf_layer_cpu_forward.cpp /^JointBilateralFilterCpuForward($/;" f +JointBilateralFilterCpuForward_3d monai/csrc/filtering/trainable_joint_bilateral/jbf_layer_cpu_forward.cpp /^void JointBilateralFilterCpuForward_3d($/;" f typeref:typename:void +JointBilateralFilterCudaBackward monai/csrc/filtering/trainable_joint_bilateral/jbf_layer_gpu_backward.cu /^std::tuple<torch::Tensor, 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/^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +NormalizeIntensity monai/transforms/intensity/array.py /^class NormalizeIntensity(Transform):$/;" c +NormalizeIntensity.__call__ docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="NormalizeIntensity.__call__">$/;" I +NormalizeIntensityD monai/transforms/intensity/dictionary.py /^NormalizeIntensityD = NormalizeIntensityDict = NormalizeIntensityd$/;" v +NormalizeIntensityd docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="NormalizeIntensityd">$/;" I +NormalizeIntensityd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +NormalizeIntensityd monai/transforms/intensity/dictionary.py /^class 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"_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +Novograd monai/optimizers/novograd.py /^class Novograd(Optimizer):$/;" c +Novograd# docs/build/html/optimizers.html /^<h2><cite>Novograd<\/cite><a class="headerlink" href="#novograd" title="Link to this heading">#</;" i +Novograd.step docs/build/html/_modules/monai/optimizers/novograd.html /^<div class="viewcode-block" id="Novograd.step">$/;" I +NrrdImage monai/data/image_reader.py /^class NrrdImage:$/;" c +NrrdReader docs/build/html/_modules/monai/data/image_reader.html /^<div class="viewcode-block" id="NrrdReader">$/;" I +NrrdReader docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +NrrdReader docs/source/data.rst /^NrrdReader$/;" s chapter:Image reader +NrrdReader monai/data/image_reader.py /^class NrrdReader(ImageReader):$/;" c +NrrdReader# docs/build/html/data.html /^<h3>NrrdReader<a class="headerlink" href="#nrrdreader" title="Link to this heading">#<\/a><\/h3>$/;" j +NrrdReader.get_data docs/build/html/_modules/monai/data/image_reader.html /^<div class="viewcode-block" id="NrrdReader.get_data">$/;" I +NrrdReader.read docs/build/html/_modules/monai/data/image_reader.html /^<div class="viewcode-block" id="NrrdReader.read">$/;" I +NrrdReader.verify_suffix docs/build/html/_modules/monai/data/image_reader.html /^<div class="viewcode-block" id="NrrdReader.verify_suffix">$/;" I +NuClick modules for interactive nuclei segmentation docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +NuClick modules for interactive nuclei segmentation docs/source/applications.md /^### NuClick modules for interactive nuclei segmentation$/;" S chapter:Research and Application Highlights +NuClick modules for interactive nuclei segmentation# 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/^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +ONE monai/utils/enums.py /^ ONE = 1$/;" v class:SplineMode +ON_AARCH64 tests/test_convert_to_onnx.py /^ON_AARCH64 = platform.machine() == "aarch64"$/;" v +ON_AARCH64 tests/test_dynunet.py /^ON_AARCH64 = platform.machine() == "aarch64"$/;" v +ON_AARCH64 tests/test_spatial_resampled.py /^ON_AARCH64 = platform.machine() == "aarch64"$/;" v +OPS2D monai/networks/nets/dints.py /^ OPS2D = {$/;" v class:Cell +OPS3D monai/networks/nets/dints.py /^ OPS3D = {$/;" v class:Cell +OPTIONAL_IMPORT_MSG_FMT monai/utils/module.py /^OPTIONAL_IMPORT_MSG_FMT = "{}"$/;" v +OPT_IMPORT_VERSION monai/config/deviceconfig.py /^ OPT_IMPORT_VERSION = "0.4.4"$/;" v class:IgniteInfo +OR docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +ORIGINAL 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/^OUTPUT_3x3_ZERO_PAD = OUTPUT_3x3.clone()$/;" v +Object detection in medical images docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +Object detection in medical images docs/source/whatsnew_0_9.md /^## Object detection in medical images$/;" s chapter:What's new in 0.9 +Object detection in medical images# docs/build/html/whatsnew_0_9.html /^<h2>Object detection in medical images<a class="headerlink" href="#object-detection-in-medical-i/;" i +Oc docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" c +Occlusion sensitivity docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +Occlusion sensitivity 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I +RandSpatialCropSamples docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +RandSpatialCropSamples monai/transforms/croppad/array.py /^class RandSpatialCropSamples(Randomizable, TraceableTransform, LazyTransform, MultiSampleTrait):$/;" c +RandSpatialCropSamples.__call__ docs/build/html/_modules/monai/transforms/croppad/array.html /^<div class="viewcode-block" id="RandSpatialCropSamples.__call__">$/;" I +RandSpatialCropSamples.randomize docs/build/html/_modules/monai/transforms/croppad/array.html /^<div class="viewcode-block" id="RandSpatialCropSamples.randomize">$/;" I +RandSpatialCropSamples.set_random_state docs/build/html/_modules/monai/transforms/croppad/array.html /^<div class="viewcode-block" id="RandSpatialCropSamples.set_random_state">$/;" I +RandSpatialCropSamplesD monai/transforms/croppad/dictionary.py /^RandSpatialCropSamplesD = 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docs/build/html/_modules/monai/transforms/croppad/dictionary.html /^<div class="viewcode-block" id="RandSpatialCropd">$/;" I +RandSpatialCropd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +RandSpatialCropd monai/transforms/croppad/dictionary.py /^class RandSpatialCropd(RandCropd):$/;" c +RandStdShiftIntensity docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandStdShiftIntensity">$/;" I +RandStdShiftIntensity docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +RandStdShiftIntensity monai/transforms/intensity/array.py /^class RandStdShiftIntensity(RandomizableTransform):$/;" c +RandStdShiftIntensity.__call__ docs/build/html/_modules/monai/transforms/intensity/array.html /^<div 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docs/build/html/_modules/monai/apps/reconstruction/fastmri_reader.html /^ <h1>Source code for monai.apps.reconstruction.fastmri_reader<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.apps.reconstruction.mri_utils docs/build/html/_modules/monai/apps/reconstruction/mri_utils.html /^ <h1>Source code for monai.apps.reconstruction.mri_utils<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.apps.reconstruction.networks.blocks.varnetblock docs/build/html/_modules/monai/apps/reconstruction/networks/blocks/varnetblock.html /^ <h1>Source code for monai.apps.reconstruction.networks.blocks.varnetblock<\/h1><div class="hig/;" h +Source code for monai.apps.reconstruction.networks.nets.coil_sensitivity_model docs/build/html/_modules/monai/apps/reconstruction/networks/nets/coil_sensitivity_model.html /^ <h1>Source code for monai.apps.reconstruction.networks.nets.coil_sensitivity_model<\/h1><div c/;" h +Source code for monai.apps.reconstruction.networks.nets.complex_unet docs/build/html/_modules/monai/apps/reconstruction/networks/nets/complex_unet.html /^ <h1>Source code for monai.apps.reconstruction.networks.nets.complex_unet<\/h1><div class="high/;" h +Source code for monai.apps.reconstruction.networks.nets.utils docs/build/html/_modules/monai/apps/reconstruction/networks/nets/utils.html /^ <h1>Source code for monai.apps.reconstruction.networks.nets.utils<\/h1><div class="highlight">/;" h +Source code for monai.apps.reconstruction.networks.nets.varnet docs/build/html/_modules/monai/apps/reconstruction/networks/nets/varnet.html /^ <h1>Source code for monai.apps.reconstruction.networks.nets.varnet<\/h1><div class="highlight"/;" h +Source code for monai.apps.reconstruction.transforms.array docs/build/html/_modules/monai/apps/reconstruction/transforms/array.html /^ <h1>Source code for monai.apps.reconstruction.transforms.array<\/h1><div class="highlight"><pr/;" h +Source code for monai.apps.reconstruction.transforms.dictionary docs/build/html/_modules/monai/apps/reconstruction/transforms/dictionary.html /^ <h1>Source code for monai.apps.reconstruction.transforms.dictionary<\/h1><div class="highlight/;" h +Source code for monai.apps.utils docs/build/html/_modules/monai/apps/utils.html /^ <h1>Source code for monai.apps.utils<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.auto3dseg.algo_gen docs/build/html/_modules/monai/auto3dseg/algo_gen.html /^ <h1>Source code for monai.auto3dseg.algo_gen<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.auto3dseg.analyzer docs/build/html/_modules/monai/auto3dseg/analyzer.html /^ <h1>Source code for monai.auto3dseg.analyzer<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.auto3dseg.operations docs/build/html/_modules/monai/auto3dseg/operations.html /^ <h1>Source code for monai.auto3dseg.operations<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.auto3dseg.seg_summarizer docs/build/html/_modules/monai/auto3dseg/seg_summarizer.html /^ <h1>Source code for monai.auto3dseg.seg_summarizer<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.auto3dseg.utils docs/build/html/_modules/monai/auto3dseg/utils.html /^ <h1>Source code for monai.auto3dseg.utils<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.bundle.config_item docs/build/html/_modules/monai/bundle/config_item.html /^ <h1>Source code for monai.bundle.config_item<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.bundle.config_parser docs/build/html/_modules/monai/bundle/config_parser.html /^ <h1>Source code for monai.bundle.config_parser<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.bundle.reference_resolver docs/build/html/_modules/monai/bundle/reference_resolver.html /^ <h1>Source code for monai.bundle.reference_resolver<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.bundle.scripts 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class="highlight"><pre>$/;" h +Source code for monai.data.decathlon_datalist docs/build/html/_modules/monai/data/decathlon_datalist.html /^ <h1>Source code for monai.data.decathlon_datalist<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.fft_utils docs/build/html/_modules/monai/data/fft_utils.html /^ <h1>Source code for monai.data.fft_utils<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.folder_layout docs/build/html/_modules/monai/data/folder_layout.html /^ <h1>Source code for monai.data.folder_layout<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.grid_dataset docs/build/html/_modules/monai/data/grid_dataset.html /^ <h1>Source code for monai.data.grid_dataset<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.image_dataset docs/build/html/_modules/monai/data/image_dataset.html /^ <h1>Source code for monai.data.image_dataset<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.image_reader docs/build/html/_modules/monai/data/image_reader.html /^ <h1>Source code for monai.data.image_reader<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.image_writer docs/build/html/_modules/monai/data/image_writer.html /^ <h1>Source code for monai.data.image_writer<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.iterable_dataset docs/build/html/_modules/monai/data/iterable_dataset.html /^ <h1>Source code for monai.data.iterable_dataset<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.itk_torch_bridge docs/build/html/_modules/monai/data/itk_torch_bridge.html /^ <h1>Source code for monai.data.itk_torch_bridge<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.meta_obj docs/build/html/_modules/monai/data/meta_obj.html /^ <h1>Source code for monai.data.meta_obj<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.meta_tensor docs/build/html/_modules/monai/data/meta_tensor.html /^ <h1>Source code for 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monai.data.video_dataset docs/build/html/_modules/monai/data/video_dataset.html /^ <h1>Source code for monai.data.video_dataset<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.wsi_datasets docs/build/html/_modules/monai/data/wsi_datasets.html /^ <h1>Source code for monai.data.wsi_datasets<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.data.wsi_reader docs/build/html/_modules/monai/data/wsi_reader.html /^ <h1>Source code for monai.data.wsi_reader<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.engines.evaluator docs/build/html/_modules/monai/engines/evaluator.html /^ <h1>Source code for monai.engines.evaluator<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.engines.trainer docs/build/html/_modules/monai/engines/trainer.html /^ <h1>Source code for monai.engines.trainer<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.engines.utils docs/build/html/_modules/monai/engines/utils.html /^ <h1>Source code for monai.engines.utils<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.engines.workflow docs/build/html/_modules/monai/engines/workflow.html /^ <h1>Source code for monai.engines.workflow<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.fl.client.client_algo docs/build/html/_modules/monai/fl/client/client_algo.html /^ <h1>Source code for monai.fl.client.client_algo<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.fl.client.monai_algo docs/build/html/_modules/monai/fl/client/monai_algo.html /^ <h1>Source code for monai.fl.client.monai_algo<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.checkpoint_loader docs/build/html/_modules/monai/handlers/checkpoint_loader.html /^ <h1>Source code for monai.handlers.checkpoint_loader<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.checkpoint_saver docs/build/html/_modules/monai/handlers/checkpoint_saver.html /^ <h1>Source code for monai.handlers.checkpoint_saver<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.classification_saver docs/build/html/_modules/monai/handlers/classification_saver.html /^ <h1>Source code for monai.handlers.classification_saver<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.clearml_handlers docs/build/html/_modules/monai/handlers/clearml_handlers.html /^ <h1>Source code for monai.handlers.clearml_handlers<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.confusion_matrix docs/build/html/_modules/monai/handlers/confusion_matrix.html /^ <h1>Source code for monai.handlers.confusion_matrix<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.decollate_batch docs/build/html/_modules/monai/handlers/decollate_batch.html /^ <h1>Source code for monai.handlers.decollate_batch<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.earlystop_handler docs/build/html/_modules/monai/handlers/earlystop_handler.html /^ <h1>Source code for monai.handlers.earlystop_handler<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.garbage_collector docs/build/html/_modules/monai/handlers/garbage_collector.html /^ <h1>Source code for monai.handlers.garbage_collector<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.hausdorff_distance docs/build/html/_modules/monai/handlers/hausdorff_distance.html /^ <h1>Source code for monai.handlers.hausdorff_distance<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.ignite_metric docs/build/html/_modules/monai/handlers/ignite_metric.html /^ <h1>Source code for monai.handlers.ignite_metric<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.logfile_handler docs/build/html/_modules/monai/handlers/logfile_handler.html /^ <h1>Source code for monai.handlers.logfile_handler<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.lr_schedule_handler docs/build/html/_modules/monai/handlers/lr_schedule_handler.html /^ <h1>Source code for monai.handlers.lr_schedule_handler<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.mean_dice docs/build/html/_modules/monai/handlers/mean_dice.html /^ <h1>Source code for monai.handlers.mean_dice<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.mean_iou docs/build/html/_modules/monai/handlers/mean_iou.html /^ <h1>Source code for monai.handlers.mean_iou<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.metric_logger docs/build/html/_modules/monai/handlers/metric_logger.html /^ <h1>Source code for monai.handlers.metric_logger<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.metrics_reloaded_handler docs/build/html/_modules/monai/handlers/metrics_reloaded_handler.html /^ <h1>Source code for monai.handlers.metrics_reloaded_handler<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.metrics_saver docs/build/html/_modules/monai/handlers/metrics_saver.html /^ <h1>Source code for monai.handlers.metrics_saver<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.mlflow_handler docs/build/html/_modules/monai/handlers/mlflow_handler.html /^ <h1>Source code for monai.handlers.mlflow_handler<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.nvtx_handlers docs/build/html/_modules/monai/handlers/nvtx_handlers.html /^ <h1>Source code for monai.handlers.nvtx_handlers<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.panoptic_quality docs/build/html/_modules/monai/handlers/panoptic_quality.html /^ <h1>Source code for monai.handlers.panoptic_quality<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.parameter_scheduler docs/build/html/_modules/monai/handlers/parameter_scheduler.html /^ <h1>Source code for monai.handlers.parameter_scheduler<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.postprocessing docs/build/html/_modules/monai/handlers/postprocessing.html /^ <h1>Source code for monai.handlers.postprocessing<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.probability_maps docs/build/html/_modules/monai/handlers/probability_maps.html /^ <h1>Source code for monai.handlers.probability_maps<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.regression_metrics docs/build/html/_modules/monai/handlers/regression_metrics.html /^ <h1>Source code for monai.handlers.regression_metrics<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.roc_auc docs/build/html/_modules/monai/handlers/roc_auc.html /^ <h1>Source code for monai.handlers.roc_auc<\/h1><div class="highlight"><pre>$/;" h +Source code for monai.handlers.smartcache_handler docs/build/html/_modules/monai/handlers/smartcache_handler.html /^ <h1>Source code for 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{"hover_mask": HV_MAPS}]$/;" v +TEST_CASE_0 tests/test_discriminator.py /^TEST_CASE_0 = [$/;" v +TEST_CASE_0 tests/test_fill_holes.py /^TEST_CASE_0 = ["enclosed_default_full_connectivity_default_applied_labels", {}, grid_1, grid_3]$/;" v +TEST_CASE_0 tests/test_fill_holesd.py /^TEST_CASE_0 = ["enclosed_default_full_connectivity_default_applied_labels", {}, grid_1, grid_3]$/;" v +TEST_CASE_0 tests/test_flatten_sub_keysd.py /^TEST_CASE_0 = [{"keys": "pred"}, {"image": I, "pred": D1}, {"a": A, "b": B, "image": I}]$/;" v +TEST_CASE_0 tests/test_foreground_mask.py /^TEST_CASE_0 = [{}, IMAGE1, MASK]$/;" v +TEST_CASE_0 tests/test_foreground_maskd.py /^TEST_CASE_0 = [{"keys": "image"}, {"image": IMAGE1}, MASK]$/;" v +TEST_CASE_0 tests/test_from_engine_hovernet.py /^TEST_CASE_0 = [$/;" v +TEST_CASE_0 tests/test_generator.py /^TEST_CASE_0 = [$/;" v +TEST_CASE_0 tests/test_grid_dataset.py /^TEST_CASE_0 = [{"patch_size": (2, 2)}, A, [A11, A12, A21, A22], np.array([COORD11, COORD12, COOR/;" v 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/^TEST_CASE_0 = [$/;" v +TEST_CASE_0 tests/test_masked_patch_wsi_dataset.py /^TEST_CASE_0 = [$/;" v +TEST_CASE_0 tests/test_net_adapter.py /^TEST_CASE_0 = [{"num_classes": 1, "use_conv": True, "dim": 2}, (2, 3, 224, 224), (2, 1, 8, 1)]$/;" v +TEST_CASE_0 tests/test_patch_wsi_dataset.py /^TEST_CASE_0 = [$/;" v +TEST_CASE_0 tests/test_prepare_batch_extra_input.py /^TEST_CASE_0 = [$/;" v +TEST_CASE_0 tests/test_prepare_batch_hovernet.py /^TEST_CASE_0 = [$/;" v +TEST_CASE_0 tests/test_rand_coarse_dropout.py /^TEST_CASE_0 = [$/;" v +TEST_CASE_0 tests/test_rand_coarse_dropoutd.py /^TEST_CASE_0 = [$/;" v +TEST_CASE_0 tests/test_rand_grid_patch.py /^TEST_CASE_0 = [{"patch_size": (2, 2), "min_offset": 0, "max_offset": 0}, A, [A11, A12, A21, A22]/;" v +TEST_CASE_0 tests/test_rand_grid_patchd.py /^TEST_CASE_0 = [{"patch_size": (2, 2), "min_offset": 0, "max_offset": 0}, {"image": A}, [A11, A12/;" v +TEST_CASE_0 tests/test_resize.py /^TEST_CASE_0 = [{"spatial_size": 15}, (6, 10, 15)]$/;" v 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[[0, 0], [1, 2]]]$/;" v +TEST_CASE_1 tests/test_bounding_rectd.py /^TEST_CASE_1 = [(2, 3), [[0, 0], [1, 2]]]$/;" v +TEST_CASE_1 tests/test_bundle_ckpt_export.py /^TEST_CASE_1 = ["", ""]$/;" v +TEST_CASE_1 tests/test_bundle_download.py /^TEST_CASE_1 = ["test_bundle", None]$/;" v +TEST_CASE_1 tests/test_bundle_get_data.py /^TEST_CASE_1 = [{"bundle_name": "brats_mri_segmentation", "tag": "hosting_storage_v1"}]$/;" v +TEST_CASE_1 tests/test_bundle_onnx_export.py /^TEST_CASE_1 = ["True"]$/;" v +TEST_CASE_1 tests/test_bundle_push_to_hf_hub.py /^TEST_CASE_1 = ["monai-test\/test_bundle_push", "test_bundle"]$/;" v +TEST_CASE_1 tests/test_bundle_trt_export.py /^TEST_CASE_1 = ["fp32", [], []]$/;" v +TEST_CASE_1 tests/test_bundle_verify_metadata.py /^TEST_CASE_1 = [os.path.join(os.path.dirname(__file__), "testing_data", "metadata.json"), SCHEMA_/;" v +TEST_CASE_1 tests/test_bundle_verify_net.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_bundle_workflow.py /^TEST_CASE_1 = [os.path.join(os.path.dirname(__file__), "testing_data", "inference.json")]$/;" v +TEST_CASE_1 tests/test_cachedataset.py /^TEST_CASE_1 = [Compose([LoadImaged(keys=["image", "label", "extra"])]), (128, 128, 128)]$/;" v +TEST_CASE_1 tests/test_cachedataset_parallel.py /^TEST_CASE_1 = [0, 5, Compose([LoadImaged(keys=["image", "label", "extra"])])]$/;" v +TEST_CASE_1 tests/test_cachentransdataset.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_cast_to_typed.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_check_hash.py /^TEST_CASE_1 = ["b94716452086a054208395e8c9d1ae2a", "md5", True]$/;" v +TEST_CASE_1 tests/test_compute_froc.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_compute_generalized_dice.py /^TEST_CASE_1 = [ # y (1, 1, 2, 2), y_pred (1, 1, 2, 2), expected out (1)$/;" v +TEST_CASE_1 tests/test_compute_ho_ver_maps.py /^TEST_CASE_1 = [{"dtype": "float64"}, INSTANCE_MASK, HV_MAPS]$/;" v +TEST_CASE_1 tests/test_compute_ho_ver_maps_d.py /^TEST_CASE_1 = [{"dtype": "float64", "new_key_prefix": ""}, {"mask": INSTANCE_MASK}, {"mask": HV_/;" v +TEST_CASE_1 tests/test_compute_ho_ver_maps_d.py /^TEST_CASE_1 = [{"dtype": "float64"}, {"mask": INSTANCE_MASK}, {"hover_mask": HV_MAPS}]$/;" v +TEST_CASE_1 tests/test_compute_meandice.py /^TEST_CASE_1 = [ # y (1, 1, 2, 2), y_pred (1, 1, 2, 2), expected out (1, 1)$/;" v +TEST_CASE_1 tests/test_compute_meaniou.py /^TEST_CASE_1 = [ # y (1, 1, 2, 2), y_pred (1, 1, 2, 2), expected out (1, 1)$/;" v +TEST_CASE_1 tests/test_compute_roc_auc.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_compute_variance.py /^TEST_CASE_1 = [ # y_pred (3, 1, 3), expected out (0.0)$/;" v +TEST_CASE_1 tests/test_config_item.py /^TEST_CASE_1 = [{"lr": 0.001}, 0.0001]$/;" v +TEST_CASE_1 tests/test_config_parser.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_convert_to_trt.py /^TEST_CASE_1 = ["fp32"]$/;" v +TEST_CASE_1 tests/test_copy_itemsd.py /^TEST_CASE_1 = ["img", 1, "img_1"]$/;" v +TEST_CASE_1 tests/test_cumulative_average.py /^TEST_CASE_1 = []$/;" v +TEST_CASE_1 tests/test_data_stats.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_data_statsd.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_dataloader.py /^TEST_CASE_1 = [[{"image": np.asarray([1, 2, 3])}, {"image": np.asarray([4, 5])}]]$/;" v +TEST_CASE_1 tests/test_dataset.py /^TEST_CASE_1 = [(128, 128, 128)]$/;" v +TEST_CASE_1 tests/test_deepgrow_dataset.py /^TEST_CASE_1 = [{"dimension": 2, "pixdim": (1, 1)}, {"length": 3}, 9, 1]$/;" v +TEST_CASE_1 tests/test_delete_itemsd.py /^TEST_CASE_1 = [{"keys": [str(i) for i in range(30)]}, 20]$/;" v +TEST_CASE_1 tests/test_densenet.py /^TEST_CASE_1 = [ # 4-channel 3D, batch 2$/;" v +TEST_CASE_1 tests/test_detector_utils.py /^TEST_CASE_1 = [ # 3D, batch 3, 2 input channel$/;" v +TEST_CASE_1 tests/test_discriminator.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_ensemble_evaluator.py /^TEST_CASE_1 = [["pred_0", "pred_1", "pred_2", "pred_3", "pred_4"]]$/;" v +TEST_CASE_1 tests/test_ensure_channel_first.py /^TEST_CASE_1 = [{}, ["test_image.nii.gz"], None]$/;" v +TEST_CASE_1 tests/test_ensure_channel_firstd.py /^TEST_CASE_1 = [{"keys": "img"}, ["test_image.nii.gz"], None]$/;" v +TEST_CASE_1 tests/test_fill_holes.py /^TEST_CASE_1 = ["enclosed_full_connectivity_default_applied_labels", {"connectivity": 2}, grid_1,/;" v +TEST_CASE_1 tests/test_fill_holesd.py /^TEST_CASE_1 = ["enclosed_full_connectivity_default_applied_labels", {"connectivity": 2}, grid_1,/;" v +TEST_CASE_1 tests/test_flatten_sub_keysd.py /^TEST_CASE_1 = [{"keys": "pred"}, {"image": I, "pred": D2}, {"a": A, "b": B, "c": C, "image": I}]$/;" v +TEST_CASE_1 tests/test_foreground_mask.py /^TEST_CASE_1 = [{"threshold": "otsu"}, IMAGE1, MASK]$/;" v +TEST_CASE_1 tests/test_foreground_maskd.py /^TEST_CASE_1 = [{"keys": "image", "threshold": "otsu"}, {"image": IMAGE1}, MASK]$/;" v +TEST_CASE_1 tests/test_from_engine_hovernet.py /^TEST_CASE_1 = [{"A": {"C": 1, "D": 2}, "B": {"C": 2, "D": 2}}, (1, 2)]$/;" v +TEST_CASE_1 tests/test_gdsdataset.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_generate_instance_centroid.py /^TEST_CASE_1 = [(x - 2) ** 2 + (y - 2) ** 2 <= 2**2, [0, 0], [2, 2]]$/;" v +TEST_CASE_1 tests/test_generate_instance_centroidd.py /^TEST_CASE_1 = [(x - 2) ** 2 + (y - 2) ** 2 <= 2**2, [0, 0], [2, 2]]$/;" v +TEST_CASE_1 tests/test_generate_instance_contour.py /^TEST_CASE_1 = [(x - 2) ** 2 + (y - 2) ** 2 <= 2**2, 3, [0, 0], [[2, 0], [0, 2], [2, 4], [4, 2]]]$/;" v +TEST_CASE_1 tests/test_generate_instance_contourd.py /^TEST_CASE_1 = [(x - 2) ** 2 + (y - 2) ** 2 <= 2**2, 3, [0, 0], [[2, 0], [0, 2], [2, 4], [4, 2]]]$/;" v +TEST_CASE_1 tests/test_generate_instance_type.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_generate_instance_typed.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_generate_label_classes_crop_centers.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_generate_param_groups.py /^TEST_CASE_1 = [{"layer_matches": [lambda x: x.model[-1]], "match_types": "select", "lr_values": /;" v 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True, "save_details": False, "metric_name": "f1"}, 0.75]$/;" v +TEST_CASE_1 tests/test_handler_garbage_collector.py /^TEST_CASE_1 = [[0, 1, 2], "iteration"]$/;" v +TEST_CASE_1 tests/test_handler_ignite_metric.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_handler_mean_dice.py /^TEST_CASE_1 = [{"include_background": True, "output_transform": from_engine(["pred", "label"])},/;" v +TEST_CASE_1 tests/test_handler_mean_iou.py /^TEST_CASE_1 = [{"include_background": True, "output_transform": from_engine(["pred", "label"])},/;" v +TEST_CASE_1 tests/test_handler_nvtx.py /^TEST_CASE_1 = [[{"image": TENSOR_1}], TENSOR_1_EXPECTED]$/;" v +TEST_CASE_1 tests/test_handler_panoptic_quality.py /^TEST_CASE_1 = [{"num_classes": 4, "output_transform": from_engine(["pred", "label"])}, [0.6667, /;" v +TEST_CASE_1 tests/test_handler_post_processing.py /^TEST_CASE_1 = [{"transform": lambda x: dict(pred=x["pred"] + 1.0)}, False, torch.tensor([[[[1.99/;" v +TEST_CASE_1 tests/test_handler_prob_map_producer.py /^TEST_CASE_1 = ["temp_image_inference_output_2", 9]$/;" v +TEST_CASE_1 tests/test_highresnet.py /^TEST_CASE_1 = [ # single channel 3D, batch 16$/;" v +TEST_CASE_1 tests/test_hovernet.py /^TEST_CASE_1 = [ # original mode$/;" v +TEST_CASE_1 tests/test_hovernet_instance_map_post_processing.py /^TEST_CASE_1 = [{}, {"1": {"centroid": 1, "bbox": 1.0}}, np.zeros_like(image)]$/;" v +TEST_CASE_1 tests/test_hovernet_instance_map_post_processingd.py /^TEST_CASE_1 = [{}, {"1": {"centroid": 1, "bbox": 1.0}}, np.zeros_like(image)]$/;" v +TEST_CASE_1 tests/test_hovernet_loss.py /^TEST_CASE_1 = [ # batch size of 1, 2 classes with type prediction$/;" v +TEST_CASE_1 tests/test_hovernet_nuclear_type_post_processing.py /^TEST_CASE_1 = [{}, {"1": {"type": 1, "type_prob": 1.0}}, np.zeros_like(image)]$/;" v +TEST_CASE_1 tests/test_hovernet_nuclear_type_post_processingd.py /^TEST_CASE_1 = [{}, [{"1": [10, 10]}, np.zeros_like(image), np.zeros_like(image)]]$/;" v 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["test_image.nii.gz"], (128, 128, 128)]$/;" v +TEST_CASE_1 tests/test_load_imaged.py /^TEST_CASE_1 = [{"keys": KEYS}, (128, 128, 128)]$/;" v +TEST_CASE_1 tests/test_loss_metric.py /^TEST_CASE_1 = [ # y (1, 1, 2, 2), y_pred (1, 1, 2, 2), expected out (1, 1)$/;" v +TEST_CASE_1 tests/test_map_label_valued.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_mask_intensity.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_mask_intensityd.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_masked_patch_wsi_dataset.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_net_adapter.py /^TEST_CASE_1 = [{"num_classes": 1, "use_conv": True, "dim": 3, "pool": None}, (2, 3, 32, 32, 32),/;" v +TEST_CASE_1 tests/test_nrrd_reader.py /^TEST_CASE_1 = [(4, 4), "test_image.nrrd", (4, 4), np.uint8]$/;" v +TEST_CASE_1 tests/test_partition_dataset.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_partition_dataset_classes.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_patch_wsi_dataset.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_persistentdataset.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_pil_reader.py /^TEST_CASE_1 = [(128, 128), ["test_image.png"], (128, 128), (128, 128)]$/;" v +TEST_CASE_1 tests/test_plot_2d_or_3d_image.py /^TEST_CASE_1 = [(1, 1, 10, 10)]$/;" v +TEST_CASE_1 tests/test_prepare_batch_default_dist.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_prepare_batch_extra_input.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_rand_adjust_contrast.py /^TEST_CASE_1 = [(0.5, 4.5)]$/;" v +TEST_CASE_1 tests/test_rand_adjust_contrastd.py /^TEST_CASE_1 = [(0.5, 4.5)]$/;" v +TEST_CASE_1 tests/test_rand_coarse_dropout.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_rand_coarse_dropoutd.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_rand_grid_patch.py /^TEST_CASE_1 = [{"patch_size": (2, 2), "min_offset": 0, "num_patches": 3}, A, [A11, A12, A21]]$/;" v +TEST_CASE_1 tests/test_rand_grid_patchd.py /^TEST_CASE_1 = [{"patch_size": (2, 2), "min_offset": 0, "num_patches": 3}, {"image": A}, [A11, A1/;" v +TEST_CASE_1 tests/test_rand_spatial_crop_samples.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_rand_spatial_crop_samplesd.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_randtorchvisiond.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_reference_resolver.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_resample_datalist.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_resize.py /^TEST_CASE_1 = [{"spatial_size": 15, "mode": "area"}, (6, 10, 15)]$/;" v +TEST_CASE_1 tests/test_resized.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_resnet.py /^TEST_CASE_1 = [ # 3D, batch 3, 2 input channel$/;" v +TEST_CASE_1 tests/test_retinanet.py /^TEST_CASE_1 = [ # 3D, batch 3, 2 input channel$/;" v +TEST_CASE_1 tests/test_retinanet_detector.py /^TEST_CASE_1 = [ # 3D, batch 3, 2 input channel$/;" v +TEST_CASE_1 tests/test_retinanet_predict_utils.py /^TEST_CASE_1 = [ # 3D, batch 3, 2 input channel$/;" v +TEST_CASE_1 tests/test_saliency_inferer.py /^TEST_CASE_1 = ["CAM"]$/;" v +TEST_CASE_1 tests/test_sample_slices.py /^TEST_CASE_1 = [torch.tensor([[[0, 2], [1, 0]]]), 1, True, (1,), torch.tensor([[[1, 0]]])]$/;" v +TEST_CASE_1 tests/test_save_image.py /^TEST_CASE_1 = [torch.randint(0, 255, (1, 2, 3, 4)), {"filename_or_obj": "testfile0.nii.gz"}, ".n/;" v +TEST_CASE_1 tests/test_save_imaged.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_save_state.py /^TEST_CASE_1 = [torch.nn.PReLU(), ["weight"]]$/;" v +TEST_CASE_1 tests/test_select_cross_validation_folds.py /^TEST_CASE_1 = [$/;" v +TEST_CASE_1 tests/test_select_itemsd.py /^TEST_CASE_1 = [{"keys": [str(i) for i in range(30)]}, 30]$/;" v +TEST_CASE_1 tests/test_senet.py /^TEST_CASE_1 = [SENet154, NET_ARGS]$/;" v +TEST_CASE_1 tests/test_smartcachedataset.py /^TEST_CASE_1 = [0.1, 0, Compose([LoadImaged(keys=["image", "label", "extra"])])]$/;" v +TEST_CASE_1 tests/test_sobel_gradient.py /^TEST_CASE_1 = [IMAGE, {"kernel_size": 3, "dtype": 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A21/;" v +TEST_CASE_12 tests/test_rand_grid_patchd.py /^TEST_CASE_12 = [{"patch_size": (2, 2), "sort_fn": "random", "num_patches": 4}, {"image": A}, [A1/;" v +TEST_CASE_12_CHUNKS tests/test_zarr_avg_merger.py /^TEST_CASE_12_CHUNKS = [$/;" v +TEST_CASE_12_MATCHING tests/test_patch_inferer.py /^TEST_CASE_12_MATCHING = [$/;" v +TEST_CASE_12_MPP tests/test_wsireader.py /^TEST_CASE_12_MPP = [$/;" v +TEST_CASE_13 tests/test_compute_meandice.py /^TEST_CASE_13 = [$/;" v +TEST_CASE_13 tests/test_fill_holes.py /^TEST_CASE_13 = [$/;" v +TEST_CASE_13 tests/test_fill_holesd.py /^TEST_CASE_13 = [$/;" v +TEST_CASE_13 tests/test_foreground_mask.py /^TEST_CASE_13 = [{"threshold": 100, "invert": True}, IMAGE1, np.logical_not(MASK)]$/;" v +TEST_CASE_13 tests/test_foreground_maskd.py /^TEST_CASE_13 = [{"keys": "image", "threshold": 100, "invert": True}, {"image": IMAGE1}, np.logic/;" v +TEST_CASE_13 tests/test_grid_patch.py /^TEST_CASE_13 = [{"patch_size": (2, 2), "threshold": 50.0}, A, [A11]]$/;" v 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tests/test_foreground_maskd.py /^TEST_CASE_14 = [{"keys": "image"}, {"image": IMAGE3D}, MASK3D]$/;" v +TEST_CASE_14 tests/test_grid_patch.py /^TEST_CASE_14 = [{"patch_size": (2, 2), "threshold": 150.0}, A, [A11, A12, A21]]$/;" v +TEST_CASE_14 tests/test_grid_patchd.py /^TEST_CASE_14 = [{"patch_size": (2, 2), "threshold": 150.0}, {"image": A}, [A11, A12, A21]]$/;" v +TEST_CASE_14 tests/test_load_image.py /^TEST_CASE_14 = [$/;" v +TEST_CASE_14_COMPRESSOR_PICKLE tests/test_zarr_avg_merger.py /^TEST_CASE_14_COMPRESSOR_PICKLE = [$/;" v +TEST_CASE_14_MPP tests/test_wsireader.py /^TEST_CASE_14_MPP = [$/;" v +TEST_CASE_14_MULTITHREAD_BUFFER tests/test_patch_inferer.py /^TEST_CASE_14_MULTITHREAD_BUFFER = [$/;" v +TEST_CASE_15 tests/test_compute_meandice.py /^TEST_CASE_15 = [$/;" v +TEST_CASE_15 tests/test_fill_holes.py /^TEST_CASE_15 = [$/;" v +TEST_CASE_15 tests/test_fill_holesd.py /^TEST_CASE_15 = [$/;" v +TEST_CASE_15 tests/test_foreground_mask.py /^TEST_CASE_15 = [{"hsv_threshold": {"S": 0.1}}, IMAGE3D, MASK3D]$/;" v +TEST_CASE_15 tests/test_foreground_maskd.py /^TEST_CASE_15 = [{"keys": "image", "hsv_threshold": {"S": 0.1}}, {"image": IMAGE3D}, MASK3D]$/;" v +TEST_CASE_15 tests/test_grid_patch.py /^TEST_CASE_15 = [{"patch_size": (2, 2), "num_patches": 3, "threshold": 50.0}, A, [A11]]$/;" v +TEST_CASE_15 tests/test_grid_patchd.py /^TEST_CASE_15 = [{"patch_size": (2, 2), "threshold": 50.0, "num_patches": 3}, {"image": A}, [A11]/;" v +TEST_CASE_15 tests/test_load_image.py /^TEST_CASE_15 = [{"reader": "nibabelreader", "channel_dim": 2}, "test_image.nii.gz", (128, 128, 3/;" v +TEST_CASE_15_COMPRESSOR_LZMA tests/test_zarr_avg_merger.py /^TEST_CASE_15_COMPRESSOR_LZMA = [$/;" v +TEST_CASE_15_MPP tests/test_wsireader.py /^TEST_CASE_15_MPP = [$/;" v +TEST_CASE_15_MULTITHREADD_BUFFER tests/test_patch_inferer.py /^TEST_CASE_15_MULTITHREADD_BUFFER = [$/;" v +TEST_CASE_16 tests/test_fill_holes.py /^TEST_CASE_16 = [$/;" v +TEST_CASE_16 tests/test_fill_holesd.py /^TEST_CASE_16 = [$/;" v +TEST_CASE_16 tests/test_grid_patch.py /^TEST_CASE_16 = [{"patch_size": (2, 2), "num_patches": 2, "threshold": 150.0}, A, [A11, A12]]$/;" v +TEST_CASE_16 tests/test_grid_patchd.py /^TEST_CASE_16 = [{"patch_size": (2, 2), "threshold": 150.0, "num_patches": 2}, {"image": A}, [A11/;" v +TEST_CASE_16 tests/test_load_image.py /^TEST_CASE_16 = [{"reader": "itkreader", "channel_dim": 0}, "test_image.nii.gz", (3, 128, 128, 12/;" v +TEST_CASE_16_MPP tests/test_wsireader.py /^TEST_CASE_16_MPP = [$/;" v +TEST_CASE_16_WITH_LOCK tests/test_zarr_avg_merger.py /^TEST_CASE_16_WITH_LOCK = [$/;" v +TEST_CASE_17 tests/test_fill_holes.py /^TEST_CASE_17 = [$/;" v +TEST_CASE_17 tests/test_fill_holesd.py /^TEST_CASE_17 = [$/;" v +TEST_CASE_17 tests/test_load_image.py /^TEST_CASE_17 = [{"reader": "monai.data.ITKReader", "channel_dim": -1}, "test_image.nii.gz", (128/;" v +TEST_CASE_17_POWER tests/test_wsireader.py /^TEST_CASE_17_POWER = [$/;" v +TEST_CASE_17_WITHOUT_LOCK tests/test_zarr_avg_merger.py /^TEST_CASE_17_WITHOUT_LOCK = [$/;" v +TEST_CASE_18 tests/test_fill_holes.py /^TEST_CASE_18 = [$/;" v +TEST_CASE_18 tests/test_fill_holesd.py /^TEST_CASE_18 = [$/;" v +TEST_CASE_18 tests/test_load_image.py /^TEST_CASE_18 = [$/;" v +TEST_CASE_18_POWER tests/test_wsireader.py /^TEST_CASE_18_POWER = [$/;" v +TEST_CASE_19 tests/test_fill_holes.py /^TEST_CASE_19 = [$/;" v +TEST_CASE_19 tests/test_fill_holesd.py /^TEST_CASE_19 = [$/;" v +TEST_CASE_19 tests/test_load_image.py /^TEST_CASE_19 = [{"reader": PydicomReader()}, "tests\/testing_data\/CT_DICOM", (16, 16, 4), (16, /;" v +TEST_CASE_19_POWER tests/test_wsireader.py /^TEST_CASE_19_POWER = [$/;" v +TEST_CASE_1D tests/test_savitzky_golay_filter.py /^TEST_CASE_1D = [$/;" v +TEST_CASE_1D_2CH_SINE_CPU tests/test_hilbert_transform.py /^TEST_CASE_1D_2CH_SINE_CPU = [$/;" v +TEST_CASE_1D_2CH_SINE_GPU tests/test_hilbert_transform.py /^ TEST_CASE_1D_2CH_SINE_GPU = [$/;" v +TEST_CASE_1D_REP tests/test_savitzky_golay_filter.py /^TEST_CASE_1D_REP = [$/;" v +TEST_CASE_1D_SINE tests/test_detect_envelope.py /^TEST_CASE_1D_SINE = [$/;" v +TEST_CASE_1D_SINE_CPU tests/test_hilbert_transform.py /^TEST_CASE_1D_SINE_CPU = [$/;" v +TEST_CASE_1D_SINE_GPU tests/test_hilbert_transform.py /^ TEST_CASE_1D_SINE_GPU = [$/;" v +TEST_CASE_1D_SINE_PADDING_N tests/test_detect_envelope.py /^TEST_CASE_1D_SINE_PADDING_N = [$/;" v +TEST_CASE_1_DEFAULT_DTYPE tests/test_avg_merger.py /^TEST_CASE_1_DEFAULT_DTYPE = [$/;" v +TEST_CASE_1_DEFAULT_DTYPE tests/test_zarr_avg_merger.py /^TEST_CASE_1_DEFAULT_DTYPE = [$/;" v +TEST_CASE_1_TENSOR tests/test_patch_inferer.py /^TEST_CASE_1_TENSOR = [TENSOR_4x4, dict(splitter=SlidingWindowSplitter(patch_size=(2, 2))), lambd/;" v +TEST_CASE_2 tests/test_adjust_contrast.py /^ TEST_CASE_2 = [0.5, invert_image, retain_stats]$/;" v +TEST_CASE_2 tests/test_adjust_contrastd.py /^ TEST_CASE_2 = [0.5, invert_image, retain_stats]$/;" v +TEST_CASE_2 tests/test_arraydataset.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_autoencoder.py /^TEST_CASE_2 = [ # 3-channel 2D, batch 4, LeakyReLU activation$/;" v +TEST_CASE_2 tests/test_bounding_rect.py /^TEST_CASE_2 = [(1, 8, 10), [[0, 7, 1, 9]]]$/;" v +TEST_CASE_2 tests/test_bounding_rectd.py /^TEST_CASE_2 = [(1, 8, 10), [[0, 7, 1, 9]]]$/;" v +TEST_CASE_2 tests/test_bundle_ckpt_export.py /^TEST_CASE_2 = ["model", ""]$/;" v +TEST_CASE_2 tests/test_bundle_download.py /^TEST_CASE_2 = ["test_bundle", "0.1.1"]$/;" v +TEST_CASE_2 tests/test_bundle_get_data.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_bundle_onnx_export.py /^TEST_CASE_2 = ["False"]$/;" v +TEST_CASE_2 tests/test_bundle_trt_export.py /^TEST_CASE_2 = ["fp16", [], []]$/;" v +TEST_CASE_2 tests/test_bundle_workflow.py /^TEST_CASE_2 = [os.path.join(os.path.dirname(__file__), "testing_data", "inference.yaml")]$/;" v +TEST_CASE_2 tests/test_cachedataset.py /^TEST_CASE_2 = [None, (128, 128, 128)]$/;" v +TEST_CASE_2 tests/test_cachedataset_parallel.py /^TEST_CASE_2 = [4, 5, Compose([LoadImaged(keys=["image", "label", "extra"])])]$/;" v +TEST_CASE_2 tests/test_cast_to_typed.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_check_hash.py /^TEST_CASE_2 = ["abcdefg", "md5", False]$/;" v +TEST_CASE_2 tests/test_compute_froc.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_compute_generalized_dice.py /^TEST_CASE_2 = [ # y (2, 1, 2, 2), y_pred (2, 3, 2, 2), expected out (2) (no background)$/;" v +TEST_CASE_2 tests/test_compute_meandice.py /^TEST_CASE_2 = [ # y (2, 1, 2, 2), y_pred (2, 3, 2, 2), expected out (2, 2) (no background)$/;" v +TEST_CASE_2 tests/test_compute_meaniou.py /^TEST_CASE_2 = [ # y (2, 3, 2, 2), y_pred (2, 3, 2, 2), expected out (2, 2) (no background)$/;" v +TEST_CASE_2 tests/test_compute_roc_auc.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_compute_variance.py /^TEST_CASE_2 = [ # y_pred (1, 1, 2, 2), expected out (0.0)$/;" v +TEST_CASE_2 tests/test_config_item.py /^TEST_CASE_2 = [{"_target_": "LoadImaged", "keys": ["image"], "_desc_": "an image reader for 'ima/;" v +TEST_CASE_2 tests/test_config_parser.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_convert_to_trt.py /^TEST_CASE_2 = ["fp16"]$/;" v +TEST_CASE_2 tests/test_copy_itemsd.py /^TEST_CASE_2 = [["img", "seg"], 1, ["img_1", "seg_1"]]$/;" v +TEST_CASE_2 tests/test_data_stats.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_data_statsd.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_dataloader.py /^TEST_CASE_2 = [[{"label": torch.as_tensor([[3], [2]])}, {"label": np.asarray([[1], [2]])}]]$/;" v +TEST_CASE_2 tests/test_deepgrow_dataset.py /^TEST_CASE_2 = [{"dimension": 2, "pixdim": (1, 1), "limit": 1}, {"length": 3}, 3, 1]$/;" v +TEST_CASE_2 tests/test_delete_itemsd.py /^TEST_CASE_2 = [{"keys": ["image\/" + str(i) for i in range(30)], "sep": "\/"}, 20]$/;" v +TEST_CASE_2 tests/test_densenet.py /^TEST_CASE_2 = [ # 4-channel 2D, batch 2$/;" v +TEST_CASE_2 tests/test_detector_utils.py /^TEST_CASE_2 = [ # 2D, batch 2, 1 input channel$/;" v +TEST_CASE_2 tests/test_discriminator.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_ensemble_evaluator.py /^TEST_CASE_2 = [None]$/;" v +TEST_CASE_2 tests/test_ensure_channel_first.py /^TEST_CASE_2 = [{}, ["test_image.nii.gz"], -1]$/;" v +TEST_CASE_2 tests/test_ensure_channel_firstd.py /^TEST_CASE_2 = [{"keys": "img"}, ["test_image.nii.gz"], -1]$/;" v +TEST_CASE_2 tests/test_fill_holes.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_fill_holesd.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_flatten_sub_keysd.py /^TEST_CASE_2 = [{"keys": "pred", "sub_keys": ["a", "b"]}, {"image": I, "pred": D1}, {"a": A, "b":/;" v +TEST_CASE_2 tests/test_foreground_mask.py /^TEST_CASE_2 = [{"threshold": "otsu"}, IMAGE2, MASK]$/;" v +TEST_CASE_2 tests/test_foreground_maskd.py /^TEST_CASE_2 = [{"keys": "image", "threshold": "otsu"}, {"image": IMAGE2}, MASK]$/;" v +TEST_CASE_2 tests/test_gdsdataset.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_generate_instance_centroid.py /^TEST_CASE_2 = [(x - 8) ** 2 + (y - 8) ** 2 <= 2**2, [6, 6], [8, 8]]$/;" v +TEST_CASE_2 tests/test_generate_instance_centroidd.py /^TEST_CASE_2 = [(x - 8) ** 2 + (y - 8) ** 2 <= 2**2, [6, 6], [8, 8]]$/;" v +TEST_CASE_2 tests/test_generate_instance_contour.py /^TEST_CASE_2 = [(x - 8) ** 2 + (y - 8) ** 2 <= 2**2, 3, [8, 8], [[10, 8], [8, 10], [10, 12], [12,/;" v +TEST_CASE_2 tests/test_generate_instance_contourd.py /^TEST_CASE_2 = [(x - 10) ** 2 + (y - 10) ** 2 <= 2**2, 3, [8, 8], [[10, 8], [8, 10], [10, 12], [1/;" v +TEST_CASE_2 tests/test_generate_instance_type.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_generate_instance_typed.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_generate_label_classes_crop_centers.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_generate_param_groups.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_generate_succinct_contour.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_generate_succinct_contourd.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_generator.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_grid_dataset.py /^TEST_CASE_2 = [{"patch_size": (2, 2), "start_pos": (0, 0, 2)}, A, [A12, A22], np.array([COORD12,/;" v +TEST_CASE_2 tests/test_grid_patch.py /^TEST_CASE_2 = [{"patch_size": (2, 2), "num_patches": 5}, A, [A11, A12, A21, A22, np.zeros((3, 2,/;" v +TEST_CASE_2 tests/test_grid_patchd.py /^TEST_CASE_2 = [{"patch_size": (2, 2), "num_patches": 5}, {"image": A}, [A11, A12, A21, A22, np.z/;" v +TEST_CASE_2 tests/test_grid_split.py /^TEST_CASE_2 = [{"grid": (1, 2)}, A1, [A11, A12]]$/;" v +TEST_CASE_2 tests/test_grid_splitd.py /^TEST_CASE_2 = [{"keys": "image", "grid": (1, 2)}, {"image": A1}, [A11, A12]]$/;" v +TEST_CASE_2 tests/test_handler_checkpoint_saver.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_handler_confusion_matrix.py /^TEST_CASE_2 = [{"include_background": False, "save_details": False, "metric_name": "ppv"}, 1.0]$/;" v +TEST_CASE_2 tests/test_handler_garbage_collector.py /^TEST_CASE_2 = [[0, 1, 2], Events.EPOCH_COMPLETED]$/;" v +TEST_CASE_2 tests/test_handler_ignite_metric.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_handler_mean_dice.py /^TEST_CASE_2 = [{"include_background": False, "output_transform": from_engine(["pred", "label"])}/;" v +TEST_CASE_2 tests/test_handler_mean_iou.py /^TEST_CASE_2 = [{"include_background": False, "output_transform": from_engine(["pred", "label"])}/;" v +TEST_CASE_2 tests/test_handler_panoptic_quality.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_handler_post_processing.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_handler_prob_map_producer.py /^TEST_CASE_2 = ["temp_image_inference_output_3", 100]$/;" v +TEST_CASE_2 tests/test_highresnet.py /^TEST_CASE_2 = [ # 4-channel 3D, batch 1$/;" v +TEST_CASE_2 tests/test_hovernet.py /^TEST_CASE_2 = [ # dropout$/;" v +TEST_CASE_2 tests/test_hovernet_instance_map_post_processing.py /^TEST_CASE_2 = [{"distance_smooth_fn": GaussianSmooth()}, {"1": {"type": 1, "type_prob": 1.0}}, n/;" v 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= ["GradCAM"]$/;" v +TEST_CASE_2 tests/test_sample_slices.py /^TEST_CASE_2 = [torch.tensor([[[0, 2], [1, 0], [4, 5]]]), 1, True, (0, 2), torch.tensor([[[0, 2],/;" v +TEST_CASE_2 tests/test_save_image.py /^TEST_CASE_2 = [torch.randint(0, 255, (1, 2, 3, 4)), None, ".nii.gz", False]$/;" v +TEST_CASE_2 tests/test_save_imaged.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_save_state.py /^TEST_CASE_2 = [{"net": torch.nn.PReLU()}, ["net"]]$/;" v +TEST_CASE_2 tests/test_select_cross_validation_folds.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_senet.py /^TEST_CASE_2 = [SEResNet50, NET_ARGS]$/;" v +TEST_CASE_2 tests/test_smartcachedataset.py /^TEST_CASE_2 = [0.1, 4, Compose([LoadImaged(keys=["image", "label", "extra"])])]$/;" v +TEST_CASE_2 tests/test_sobel_gradient.py /^TEST_CASE_2 = [IMAGE, {"kernel_size": 3, "spatial_axes": 0, "dtype": torch.float64}, OUTPUT_3x3[/;" v +TEST_CASE_2 tests/test_sobel_gradientd.py /^TEST_CASE_2 = [$/;" v +TEST_CASE_2 tests/test_state_cacher.py 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= [ # 2D, batch 2, 1 input channel, shortcut type A$/;" v +TEST_CASE_2_A tests/test_resnet.py /^TEST_CASE_2_A = [ # 2D, batch 2, 1 input channel, shortcut type A$/;" v +TEST_CASE_2_A tests/test_retinanet.py /^TEST_CASE_2_A = [ # 2D, batch 2, 1 input channel, shortcut type A$/;" v +TEST_CASE_2_A tests/test_retinanet_detector.py /^TEST_CASE_2_A = [ # 2D, batch 2, 1 input channel, shortcut type A$/;" v +TEST_CASE_2_A tests/test_retinanet_predict_utils.py /^TEST_CASE_2_A = [ # 2D, batch 2, 1 input channel, shortcut type A$/;" v +TEST_CASE_2_CHAN_3D_SINE tests/test_detect_envelope.py /^TEST_CASE_2_CHAN_3D_SINE = [$/;" v +TEST_CASE_2_DEFAULT_DTYPE tests/test_avg_merger.py /^TEST_CASE_2_DEFAULT_DTYPE = [$/;" v +TEST_CASE_2_DEFAULT_DTYPE tests/test_zarr_avg_merger.py /^TEST_CASE_2_DEFAULT_DTYPE = [$/;" v +TEST_CASE_2_TENSOR tests/test_patch_inferer.py /^TEST_CASE_2_TENSOR = [$/;" v +TEST_CASE_3 tests/test_adjust_contrast.py /^ TEST_CASE_3 = [4.5, invert_image, retain_stats]$/;" v +TEST_CASE_3 tests/test_adjust_contrastd.py /^ TEST_CASE_3 = [4.5, invert_image, retain_stats]$/;" v +TEST_CASE_3 tests/test_arraydataset.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_autoencoder.py /^TEST_CASE_3 = [ # 4-channel 3D, batch 4$/;" v +TEST_CASE_3 tests/test_bounding_rect.py /^TEST_CASE_3 = [(2, 16, 20, 18), [[0, 16, 0, 20, 0, 18], [0, 16, 0, 20, 0, 18]]]$/;" v +TEST_CASE_3 tests/test_bounding_rectd.py /^TEST_CASE_3 = [(2, 16, 20, 18), [[0, 16, 0, 20, 0, 18], [0, 16, 0, 20, 0, 18]]]$/;" v +TEST_CASE_3 tests/test_bundle_ckpt_export.py /^TEST_CASE_3 = ["model", "True"]$/;" v +TEST_CASE_3 tests/test_bundle_download.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_bundle_get_data.py /^TEST_CASE_3 = [{"tag": "hosting_storage_v1"}]$/;" v +TEST_CASE_3 tests/test_bundle_trt_export.py /^TEST_CASE_3 = ["fp32", [1, 1, 96, 96, 96], [1, 4, 8]]$/;" v +TEST_CASE_3 tests/test_bundle_workflow.py /^TEST_CASE_3 = [os.path.join(os.path.dirname(__file__), "testing_data", "config_fl_train.json")]$/;" v +TEST_CASE_3 tests/test_cachedataset_parallel.py /^TEST_CASE_3 = [4, 5, None]$/;" v +TEST_CASE_3 tests/test_check_hash.py /^TEST_CASE_3 = [None, "md5", True]$/;" v +TEST_CASE_3 tests/test_compute_froc.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_compute_generalized_dice.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_compute_meandice.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_compute_meaniou.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_compute_roc_auc.py /^TEST_CASE_3 = [torch.tensor([[0.5], [0.5], [0.2], [8.3]]), torch.tensor([0, 1, 0, 1]), False, No/;" v +TEST_CASE_3 tests/test_compute_variance.py /^TEST_CASE_3 = [ # y_pred (1, 1, 1, 2, 2), expected out (0.0)$/;" v +TEST_CASE_3 tests/test_config_item.py /^TEST_CASE_3 = [{"_target_": "monai.transforms.LoadImaged", "keys": ["image"]}, LoadImaged]$/;" v +TEST_CASE_3 tests/test_config_parser.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_copy_itemsd.py /^TEST_CASE_3 = ["img", 2, ["img_1", "img_2"]]$/;" v 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tests/test_flatten_sub_keysd.py /^TEST_CASE_3 = [{"keys": "pred", "sub_keys": ["a", "b"]}, {"image": I, "pred": D2}, {"a": A, "b":/;" v +TEST_CASE_3 tests/test_foreground_mask.py /^TEST_CASE_3 = [{"threshold": 140}, IMAGE1, MASK]$/;" v +TEST_CASE_3 tests/test_foreground_maskd.py /^TEST_CASE_3 = [{"keys": "image", "threshold": 140}, {"image": IMAGE1}, MASK]$/;" v +TEST_CASE_3 tests/test_gdsdataset.py /^TEST_CASE_3 = [None, (128, 128, 128)]$/;" v +TEST_CASE_3 tests/test_generate_instance_centroid.py /^TEST_CASE_3 = [(x - 5) ** 2 \/ 3**2 + (y - 5) ** 2 \/ 2**2 <= 1, [2, 3], [4, 6]]$/;" v +TEST_CASE_3 tests/test_generate_instance_centroidd.py /^TEST_CASE_3 = [(x - 5) ** 2 \/ 3**2 + (y - 5) ** 2 \/ 2**2 <= 1, [2, 3], [4, 6]]$/;" v +TEST_CASE_3 tests/test_generate_instance_contour.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_generate_instance_contourd.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_generate_param_groups.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_grid_dataset.py /^TEST_CASE_3 = [{"patch_size": (2, 2), "start_pos": (0, 2, 0)}, A, [A21, A22], np.array([COORD21,/;" v +TEST_CASE_3 tests/test_grid_patch.py /^TEST_CASE_3 = [{"patch_size": (2, 2), "offset": (0, 0)}, A, [A11, A12, A21, A22]]$/;" v +TEST_CASE_3 tests/test_grid_patchd.py /^TEST_CASE_3 = [{"patch_size": (2, 2), "offset": (0, 0)}, {"image": A}, [A11, A12, A21, A22]]$/;" v +TEST_CASE_3 tests/test_grid_split.py /^TEST_CASE_3 = [{"grid": (1, 2)}, A2, [A21, A22]]$/;" v +TEST_CASE_3 tests/test_grid_splitd.py /^TEST_CASE_3 = [{"keys": "image", "grid": (1, 2)}, {"image": A2}, [A21, A22]]$/;" v +TEST_CASE_3 tests/test_handler_checkpoint_saver.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_handler_confusion_matrix.py /^TEST_CASE_3 = [{"save_details": False, "metric_name": "f1", "reduction": "mean_batch"}, torch.te/;" v +TEST_CASE_3 tests/test_handler_ignite_metric.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_handler_mean_dice.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_handler_mean_iou.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_handler_panoptic_quality.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_highresnet.py /^TEST_CASE_3 = [ # 4-channel 2D, batch 7$/;" v +TEST_CASE_3 tests/test_hovernet.py /^TEST_CASE_3 = [ # np_out_channels$/;" v +TEST_CASE_3 tests/test_hovernet_instance_map_post_processing.py /^TEST_CASE_3 = [{"marker_postprocess_fn": FillHoles()}, {"1": {"type": 1, "type_prob": 1.0}}, np./;" v +TEST_CASE_3 tests/test_hovernet_instance_map_post_processingd.py /^TEST_CASE_3 = [{"marker_postprocess_fn": FillHoles()}, {"1": {"type": 1, "type_prob": 1.0}}, np./;" v +TEST_CASE_3 tests/test_hovernet_loss.py /^TEST_CASE_3 = [ # batch size of 2, 3 classes with minor rotation of nuclear prediction$/;" v +TEST_CASE_3 tests/test_intensity_statsd.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_is_supported_format.py /^TEST_CASE_3 = [{"filename": ".\/test.data\/file.nii.gz", "suffixes": ["nii", "nii.gz"]}, True]$/;" v +TEST_CASE_3 tests/test_label_quality_score.py /^TEST_CASE_3 = [ # y_pred (1, 1, 1, 2, 2), expected out (0.0)$/;" v +TEST_CASE_3 tests/test_lesion_froc.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_list_data_collate.py /^TEST_CASE_3 = [[[g_m], [h_m]], list, torch.Size([2, 3])]$/;" v +TEST_CASE_3 tests/test_list_to_dict.py /^TEST_CASE_3 = [["a=0.1", "b=0.2", "c=0.3", "d=0.4"], {"a": 0.1, "b": 0.2, "c": 0.3, "d": 0.4}]$/;" v +TEST_CASE_3 tests/test_lmdbdataset.py /^TEST_CASE_3 = [None, (128, 128, 128), None]$/;" v +TEST_CASE_3 tests/test_load_image.py /^TEST_CASE_3 = [{}, ["test_image.nii.gz", "test_image2.nii.gz", "test_image3.nii.gz"], (3, 128, 1/;" v +TEST_CASE_3 tests/test_map_label_valued.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_mask_intensity.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_mask_intensityd.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_net_adapter.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_nrrd_reader.py /^TEST_CASE_3 = [(4, 4, 4, 4), "test_image.nrrd", (4, 4, 4, 4), np.uint32]$/;" v +TEST_CASE_3 tests/test_partition_dataset.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_partition_dataset_classes.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_patch_wsi_dataset.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_persistentdataset.py /^TEST_CASE_3 = [None, (128, 128, 128)]$/;" v +TEST_CASE_3 tests/test_pil_reader.py /^TEST_CASE_3 = [(128, 128, 4), ["test_image.png"], (128, 128, 4), (128, 128), False]$/;" v +TEST_CASE_3 tests/test_plot_2d_or_3d_image.py /^TEST_CASE_3 = [(1, 4, 10, 10)]$/;" v +TEST_CASE_3 tests/test_rand_coarse_dropout.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_rand_coarse_dropoutd.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_rand_grid_patch.py /^TEST_CASE_3 = [{"patch_size": (2, 2), "min_offset": 0, "max_offset": 0}, A, [A11, A12, A21, A22]/;" v +TEST_CASE_3 tests/test_rand_grid_patchd.py /^TEST_CASE_3 = [{"patch_size": (2, 2), "min_offset": 0, "max_offset": 0}, {"image": A}, [A11, A12/;" v +TEST_CASE_3 tests/test_randtorchvisiond.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_reference_resolver.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_resample_datalist.py /^TEST_CASE_3 = [{"data": [1, 2, 3, 4, 5], "factor": 0.6, "random_pick": True, "seed": 123}, [2, 4/;" v +TEST_CASE_3 tests/test_resize.py /^TEST_CASE_3 = [{"spatial_size": 15, "anti_aliasing": True}, (6, 10, 15)]$/;" v +TEST_CASE_3 tests/test_resized.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_resnet.py /^TEST_CASE_3 = [ # 1D, batch 1, 2 input channels$/;" v +TEST_CASE_3 tests/test_retinanet.py /^TEST_CASE_3 = [ # 1D, batch 1, 2 input channels$/;" v +TEST_CASE_3 tests/test_retinanet_detector.py /^TEST_CASE_3 = [ # 1D, batch 1, 2 input channels$/;" v +TEST_CASE_3 tests/test_retinanet_predict_utils.py /^TEST_CASE_3 = [ # 1D, batch 1, 2 input channels$/;" v +TEST_CASE_3 tests/test_saliency_inferer.py /^TEST_CASE_3 = ["GradCAMpp"]$/;" v +TEST_CASE_3 tests/test_sample_slices.py /^TEST_CASE_3 = [torch.tensor([[[0, 2], [1, 0], [4, 5]]]), 1, False, (0, 2), torch.tensor([[[0, 2]/;" v +TEST_CASE_3 tests/test_save_image.py /^TEST_CASE_3 = [torch.randint(0, 255, (1, 2, 3, 4)), {"filename_or_obj": "testfile0.nrrd"}, ".nrr/;" v +TEST_CASE_3 tests/test_save_imaged.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_save_state.py /^TEST_CASE_3 = [{"net": torch.nn.PReLU(), "opt": optim.SGD(torch.nn.PReLU().parameters(), lr=0.02/;" v +TEST_CASE_3 tests/test_senet.py /^TEST_CASE_3 = [SEResNet101, NET_ARGS]$/;" v +TEST_CASE_3 tests/test_smartcachedataset.py /^TEST_CASE_3 = [0.1, None, Compose([LoadImaged(keys=["image", "label", "extra"])])]$/;" v +TEST_CASE_3 tests/test_sobel_gradient.py /^TEST_CASE_3 = [IMAGE, {"kernel_size": 3, "spatial_axes": 1, "dtype": torch.float64}, OUTPUT_3x3[/;" v +TEST_CASE_3 tests/test_sobel_gradientd.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_state_cacher.py /^TEST_CASE_3 = [torch.Tensor([1]).to(DEVICE), {"in_memory": False, "cache_dir": Path(gettempdir()/;" v +TEST_CASE_3 tests/test_to_device.py /^TEST_CASE_3 = [torch.device("cpu:0")]$/;" v +TEST_CASE_3 tests/test_to_onehot.py /^TEST_CASE_3 = [ # single channel 0D, batch 2, shape (2, 1)$/;" v +TEST_CASE_3 tests/test_torchvision_fc_model.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_torchvisiond.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_unet.py /^TEST_CASE_3 = [ # 4-channel 3D, batch 16$/;" v +TEST_CASE_3 tests/test_varautoencoder.py /^TEST_CASE_3 = [ # 4-channel 3D, batch 4$/;" v +TEST_CASE_3 tests/test_vis_cam.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_voxelmorph.py /^TEST_CASE_3 = [ # single channel 3D, batch 1,$/;" v +TEST_CASE_3 tests/test_wsireader.py /^TEST_CASE_3 = [$/;" v +TEST_CASE_3 tests/test_zipdataset.py /^TEST_CASE_3 = [[Dataset_(3), Dataset_(4, index_only=False), Dataset_(5)], None, (0, 1, 2, 0, 0),/;" v +TEST_CASE_3D_SINE tests/test_detect_envelope.py /^TEST_CASE_3D_SINE = [$/;" v +TEST_CASE_3D_SINE_CPU tests/test_hilbert_transform.py /^TEST_CASE_3D_SINE_CPU = [$/;" v +TEST_CASE_3D_SINE_GPU tests/test_hilbert_transform.py /^ TEST_CASE_3D_SINE_GPU = [$/;" v +TEST_CASE_3_1 tests/test_load_image.py /^TEST_CASE_3_1 = [ # .mgz format$/;" v +TEST_CASE_3_A tests/test_resnet.py /^TEST_CASE_3_A = [ # 1D, batch 1, 2 input channels$/;" v +TEST_CASE_3_A tests/test_retinanet.py /^TEST_CASE_3_A = [ # 1D, batch 1, 2 input channels$/;" v +TEST_CASE_3_A tests/test_retinanet_detector.py /^TEST_CASE_3_A = [ # 1D, batch 1, 2 input channels$/;" v +TEST_CASE_3_A tests/test_retinanet_predict_utils.py /^TEST_CASE_3_A = [ # 1D, batch 1, 2 input channels$/;" v +TEST_CASE_3_DEFAULT_DTYPE tests/test_avg_merger.py /^TEST_CASE_3_DEFAULT_DTYPE = [$/;" v +TEST_CASE_3_DEFAULT_DTYPE tests/test_zarr_avg_merger.py /^TEST_CASE_3_DEFAULT_DTYPE = [$/;" v +TEST_CASE_3_TENSOR tests/test_patch_inferer.py /^TEST_CASE_3_TENSOR = [$/;" v +TEST_CASE_4 tests/test_activations.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_arraydataset.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_bundle_download.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_bundle_get_data.py /^TEST_CASE_4 = [{"tag": "dev"}]$/;" v +TEST_CASE_4 tests/test_bundle_trt_export.py /^TEST_CASE_4 = ["fp16", [1, 1, 96, 96, 96], [1, 4, 8]]$/;" v +TEST_CASE_4 tests/test_check_hash.py /^TEST_CASE_4 = [None, "sha1", True]$/;" v +TEST_CASE_4 tests/test_compute_froc.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_compute_generalized_dice.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_compute_meandice.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_compute_meaniou.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_compute_roc_auc.py /^TEST_CASE_4 = [torch.tensor([0.5, 0.5, 0.2, 8.3]), torch.tensor([0, 1, 0, 1]), False, None, "mac/;" v +TEST_CASE_4 tests/test_compute_variance.py /^TEST_CASE_4 = [ # y_pred (3, 1, 3), expected out (0.0)$/;" v +TEST_CASE_4 tests/test_config_item.py /^TEST_CASE_4 = [{"_target_": "LoadImaged", "_disabled_": True, "keys": ["image"]}, dict]$/;" v +TEST_CASE_4 tests/test_config_parser.py /^TEST_CASE_4 = [{"A": 1, "B": "@A", "C": "@D", "E": "$'test' + '@F'"}]$/;" v +TEST_CASE_4 tests/test_copy_itemsd.py /^TEST_CASE_4 = [["img", "seg"], 2, ["img_1", "seg_1", "img_2", "seg_2"]]$/;" v +TEST_CASE_4 tests/test_data_stats.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_data_statsd.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_deepgrow_dataset.py /^TEST_CASE_4 = [{"dimension": 3, "pixdim": (1, 1, 1)}, {"length": 1}, 1, 1]$/;" v +TEST_CASE_4 tests/test_ensure_channel_first.py /^TEST_CASE_4 = [{"reader": ITKReader() if has_itk else "itkreader"}, ["test_image.nii.gz"], None]$/;" v +TEST_CASE_4 tests/test_fill_holes.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_fill_holesd.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_flatten_sub_keysd.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_foreground_mask.py /^TEST_CASE_4 = [{"threshold": "otsu", "invert": True}, IMAGE3, MASK]$/;" v +TEST_CASE_4 tests/test_foreground_maskd.py /^TEST_CASE_4 = [{"keys": "image", "threshold": "otsu", "invert": True}, {"image": IMAGE3}, MASK]$/;" v +TEST_CASE_4 tests/test_generate_param_groups.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_grid_patch.py /^TEST_CASE_4 = [{"patch_size": (2, 2), "offset": (0, 0)}, A, [A11, A12, A21, A22]]$/;" v +TEST_CASE_4 tests/test_grid_patchd.py /^TEST_CASE_4 = [{"patch_size": (2, 2), "offset": (0, 0)}, {"image": A}, [A11, A12, A21, A22]]$/;" v +TEST_CASE_4 tests/test_grid_split.py /^TEST_CASE_4 = [{"grid": (1, 1), "size": (2, 2)}, A, [A11]]$/;" v +TEST_CASE_4 tests/test_grid_splitd.py /^TEST_CASE_4 = [{"keys": "image", "grid": (1, 1), "size": {"image": (2, 2)}}, {"image": A}, [A11]/;" v +TEST_CASE_4 tests/test_handler_checkpoint_saver.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_highresnet.py /^TEST_CASE_4 = [ # 4-channel 1D, batch 16$/;" v +TEST_CASE_4 tests/test_hovernet_loss.py /^TEST_CASE_4 = [ # batch size of 2, 3 classes with medium rotation of nuclear prediction$/;" v +TEST_CASE_4 tests/test_intensity_statsd.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_is_supported_format.py /^TEST_CASE_4 = [{"filename": ".\/test.data\/file.nii", "suffixes": ["nii", "nii.gz"]}, True]$/;" v +TEST_CASE_4 tests/test_label_quality_score.py /^TEST_CASE_4 = [ # y_pred (1, 1, 2, 2), expected out (0.0)$/;" v +TEST_CASE_4 tests/test_lesion_froc.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_list_to_dict.py /^TEST_CASE_4 = [["a=True", "b=TRUE", "c=false", "d=FALSE"], {"a": True, "b": True, "c": False, "d/;" v +TEST_CASE_4 tests/test_lmdbdataset.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_load_image.py /^TEST_CASE_4 = [{}, ["test_image.nii.gz", "test_image2.nii.gz", "test_image3.nii.gz"], (3, 128, 1/;" v +TEST_CASE_4 tests/test_map_label_valued.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_mask_intensity.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_mask_intensityd.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_net_adapter.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_nrrd_reader.py /^TEST_CASE_4 = [(1, 2, 3, 4, 5), "test_image.nrrd", (1, 2, 3, 4, 5), np.uint64]$/;" v +TEST_CASE_4 tests/test_partition_dataset.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_partition_dataset_classes.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_patch_wsi_dataset.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_pil_reader.py /^TEST_CASE_4 = [(128, 128), ["test_image1.png", "test_image2.png", "test_image3.png"], (3, 128, 1/;" v +TEST_CASE_4 tests/test_plot_2d_or_3d_image.py /^TEST_CASE_4 = [(1, 1, 10, 10, 10)]$/;" v +TEST_CASE_4 tests/test_rand_coarse_dropout.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_rand_coarse_dropoutd.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_rand_grid_patch.py /^TEST_CASE_4 = [{"patch_size": (2, 2)}, A, [A11, A12, A21, A22]]$/;" v +TEST_CASE_4 tests/test_rand_grid_patchd.py /^TEST_CASE_4 = [{"patch_size": (2, 2)}, {"image": A}, [A11, A12, A21, A22]]$/;" v +TEST_CASE_4 tests/test_resize.py /^TEST_CASE_4 = [{"spatial_size": 6, "anti_aliasing": True, "anti_aliasing_sigma": 2.0}, (2, 4, 6)/;" v +TEST_CASE_4 tests/test_resnet.py /^TEST_CASE_4 = [ # 2D, batch 2, 1 input channel$/;" v +TEST_CASE_4 tests/test_retinanet.py /^TEST_CASE_4 = [ # 2D, batch 2, 1 input channel$/;" v +TEST_CASE_4 tests/test_retinanet_detector.py /^TEST_CASE_4 = [ # 2D, batch 2, 1 input channel$/;" v +TEST_CASE_4 tests/test_retinanet_predict_utils.py /^TEST_CASE_4 = [ # 2D, batch 2, 1 input channel$/;" v +TEST_CASE_4 tests/test_sample_slices.py /^TEST_CASE_4 = [torch.tensor([[[0, 2], [1, 0], [4, 5]]]), 1, False, (1, None), torch.tensor([[[1,/;" v +TEST_CASE_4 tests/test_save_image.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_save_state.py /^TEST_CASE_4 = [torch.nn.DataParallel(torch.nn.PReLU()), ["weight"]]$/;" v +TEST_CASE_4 tests/test_senet.py /^TEST_CASE_4 = [SEResNet152, NET_ARGS]$/;" v +TEST_CASE_4 tests/test_smartcachedataset.py /^TEST_CASE_4 = [0.1, 4, None]$/;" v +TEST_CASE_4 tests/test_sobel_gradient.py /^TEST_CASE_4 = [IMAGE, {"kernel_size": 3, "spatial_axes": [1], "dtype": torch.float64}, OUTPUT_3x/;" v +TEST_CASE_4 tests/test_sobel_gradientd.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_to_device.py /^TEST_CASE_4 = ["cpu"]$/;" v +TEST_CASE_4 tests/test_to_onehot.py /^TEST_CASE_4 = [ # no channel 0D, batch 3, shape (3)$/;" v +TEST_CASE_4 tests/test_torchvision_fc_model.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_unet.py /^TEST_CASE_4 = [ # 4-channel 3D, batch 16, batch normalization$/;" v +TEST_CASE_4 tests/test_varautoencoder.py /^TEST_CASE_4 = [ # 4-channel 1D, batch 4$/;" v +TEST_CASE_4 tests/test_voxelmorph.py /^TEST_CASE_4 = [ # 2-channel 3D, batch 1,$/;" v +TEST_CASE_4 tests/test_wsireader.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4 tests/test_zipdataset.py /^TEST_CASE_4 = [$/;" v +TEST_CASE_4_1 tests/test_load_image.py /^TEST_CASE_4_1 = [ # additional parameter$/;" v 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tests/test_compute_variance.py /^TEST_CASE_5 = [ # y_pred (1, 1, 2, 2), expected out all (0.0) map of 2x2$/;" v +TEST_CASE_5 tests/test_config_item.py /^TEST_CASE_5 = [{"_target_": "LoadImaged", "_disabled_": "true", "keys": ["image"]}, dict]$/;" v +TEST_CASE_5 tests/test_config_parser.py /^TEST_CASE_5 = [{"training": {"A": 1, "A_B": 2}, "total": "$@training#A + @training#A_B + 1"}, 4]$/;" v +TEST_CASE_5 tests/test_data_stats.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_data_statsd.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_deepgrow_dataset.py /^TEST_CASE_5 = [{"dimension": 3, "pixdim": (1, 1, 1)}, {"length": 1, "image_channel": 1}, 1, 1]$/;" v +TEST_CASE_5 tests/test_ensure_channel_first.py /^TEST_CASE_5 = [{"reader": ITKReader() if has_itk else "itkreader"}, ["test_image.nii.gz"], -1]$/;" v +TEST_CASE_5 tests/test_fill_holes.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_fill_holesd.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_flatten_sub_keysd.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_foreground_mask.py /^TEST_CASE_5 = [{"threshold": 0.5}, MASK, np.logical_not(MASK)]$/;" v +TEST_CASE_5 tests/test_foreground_maskd.py /^TEST_CASE_5 = [{"keys": "image", "threshold": 0.5}, {"image": MASK}, np.logical_not(MASK)]$/;" v +TEST_CASE_5 tests/test_generate_param_groups.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_grid_patch.py /^TEST_CASE_5 = [{"patch_size": (2, 2), "offset": (2, 2)}, A, [A22]]$/;" v +TEST_CASE_5 tests/test_grid_patchd.py /^TEST_CASE_5 = [{"patch_size": (2, 2), "offset": (2, 2)}, {"image": A}, [A22]]$/;" v +TEST_CASE_5 tests/test_grid_split.py /^TEST_CASE_5 = [{"grid": (1, 1), "size": 4}, A, [A]]$/;" v +TEST_CASE_5 tests/test_grid_splitd.py /^TEST_CASE_5 = [{"keys": "image", "grid": (1, 1), "size": {"image": 4}}, {"image": A}, [A]]$/;" v +TEST_CASE_5 tests/test_handler_checkpoint_saver.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_hovernet_loss.py /^TEST_CASE_5 = [ # batch size of 2, 3 classes with medium rotation of nuclear prediction$/;" v +TEST_CASE_5 tests/test_is_supported_format.py /^TEST_CASE_5 = [{"filename": "C:\\\\documents\\\\testfile.nii.gz", "suffixes": ["nii", "nii.gz"]}/;" v +TEST_CASE_5 tests/test_label_quality_score.py /^TEST_CASE_5 = [ # y_pred (1, 1, 2, 2), expected out (0.0)$/;" v +TEST_CASE_5 tests/test_lesion_froc.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_list_to_dict.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_lmdbdataset.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_load_image.py /^TEST_CASE_5 = [{"reader": NibabelReader(mmap=False)}, ["test_image.nii.gz"], (128, 128, 128)]$/;" v +TEST_CASE_5 tests/test_map_label_valued.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_mask_intensity.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_mask_intensityd.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_nrrd_reader.py /^TEST_CASE_5 = [(6, 5, 4, 3, 2, 1), "test_image.nrrd", (6, 5, 4, 3, 2, 1), np.float32]$/;" v +TEST_CASE_5 tests/test_partition_dataset.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_patch_wsi_dataset.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_pil_reader.py /^TEST_CASE_5 = [(128, 128, 3), ["test_image.jpg"], (128, 128, 3), (128, 128)]$/;" v +TEST_CASE_5 tests/test_plot_2d_or_3d_image.py /^TEST_CASE_5 = [(1, 3, 10, 10, 10)]$/;" v +TEST_CASE_5 tests/test_rand_coarse_dropout.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_rand_coarse_dropoutd.py /^TEST_CASE_5 = [$/;" v +TEST_CASE_5 tests/test_rand_grid_patch.py /^TEST_CASE_5 = [{"patch_size": (2, 2), "min_offset": 2, "max_offset": 2}, A, [A22]]$/;" v +TEST_CASE_5 tests/test_rand_grid_patchd.py /^TEST_CASE_5 = [{"patch_size": (2, 2), "min_offset": 2, "max_offset": 2}, {"image": A}, [A22]]$/;" v +TEST_CASE_5 tests/test_resnet.py /^TEST_CASE_5 = [ # 1D, batch 1, 2 input channels$/;" v +TEST_CASE_5 tests/test_sample_slices.py /^TEST_CASE_5 = [torch.tensor([[[0, 2], [1, 0], [4, 5]]]), 1, False, (0, 3, 2), torch.tensor([[[0,/;" v 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[{"threshold": 140}, IMAGE2, np.ones_like(MASK)]$/;" v +TEST_CASE_6 tests/test_foreground_maskd.py /^TEST_CASE_6 = [{"keys": "image", "threshold": 140}, {"image": IMAGE2}, np.ones_like(MASK)]$/;" v +TEST_CASE_6 tests/test_generate_param_groups.py /^TEST_CASE_6 = [$/;" v +TEST_CASE_6 tests/test_grid_patch.py /^TEST_CASE_6 = [{"patch_size": (2, 2), "offset": (0, 2)}, A, [A12, A22]]$/;" v +TEST_CASE_6 tests/test_grid_patchd.py /^TEST_CASE_6 = [{"patch_size": (2, 2), "offset": (0, 2)}, {"image": A}, [A12, A22]]$/;" v +TEST_CASE_6 tests/test_grid_split.py /^TEST_CASE_6 = [{"grid": (2, 2), "size": 2}, A, [A11, A12, A21, A22]]$/;" v +TEST_CASE_6 tests/test_grid_splitd.py /^TEST_CASE_6 = [{"keys": "image", "grid": (2, 2), "size": {"image": 2}}, {"image": A}, [A11, A12,/;" v +TEST_CASE_6 tests/test_handler_checkpoint_saver.py /^TEST_CASE_6 = [True, "final_model.pt", False, None, 1, None, False, False, False, True, 0, None,/;" v +TEST_CASE_6 tests/test_is_supported_format.py /^TEST_CASE_6 = [{"filename": "1.3.12.2.1107.5.4.4.145.nii.gz", "suffixes": ["nii.gz"]}, True]$/;" v +TEST_CASE_6 tests/test_label_quality_score.py /^TEST_CASE_6 = [ # y_pred (1, 1, 2, 2, 2), expected out all (0.0) map of 2x2x2$/;" v +TEST_CASE_6 tests/test_lesion_froc.py /^TEST_CASE_6 = [$/;" v +TEST_CASE_6 tests/test_lmdbdataset.py /^TEST_CASE_6 = [$/;" v +TEST_CASE_6 tests/test_load_image.py /^TEST_CASE_6 = [{"reader": ITKReader() if has_itk else "itkreader"}, ["test_image.nii.gz"], (128,/;" v +TEST_CASE_6 tests/test_map_label_valued.py /^TEST_CASE_6 = [$/;" v +TEST_CASE_6 tests/test_nrrd_reader.py /^TEST_CASE_6 = [(4,), "test_image.nrrd", (4,), np.float64]$/;" v +TEST_CASE_6 tests/test_partition_dataset.py /^TEST_CASE_6 = [$/;" v +TEST_CASE_6 tests/test_pil_reader.py /^TEST_CASE_6 = [(128, 128, 3), ["test_image.bmp"], (128, 128, 3), (128, 128)]$/;" v +TEST_CASE_6 tests/test_rand_coarse_dropout.py /^TEST_CASE_6 = [$/;" v +TEST_CASE_6 tests/test_rand_coarse_dropoutd.py /^TEST_CASE_6 = [$/;" v 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2,$/;" v +TEST_CASE_6 tests/test_wsireader.py /^TEST_CASE_6 = [$/;" v +TEST_CASE_6_COUNT_DTYPE tests/test_avg_merger.py /^TEST_CASE_6_COUNT_DTYPE = [$/;" v +TEST_CASE_6_COUNT_DTYPE tests/test_zarr_avg_merger.py /^TEST_CASE_6_COUNT_DTYPE = [$/;" v +TEST_CASE_6_SMALLER tests/test_patch_inferer.py /^TEST_CASE_6_SMALLER = [$/;" v +TEST_CASE_7 tests/test_activations.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_bundle_download.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_compute_generalized_dice.py /^TEST_CASE_7 = [{"y": torch.zeros((2, 2, 3, 3)), "y_pred": torch.ones((2, 2, 3, 3))}, [0.0000, 0./;" v +TEST_CASE_7 tests/test_compute_meandice.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_compute_meaniou.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_compute_roc_auc.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_compute_variance.py /^TEST_CASE_7 = [ # y_pred (3, 1, 3), expected out (0.0)$/;" v +TEST_CASE_7 tests/test_config_item.py /^TEST_CASE_7 = [{"_target_": 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/^TEST_CASE_7 = [{"patch_size": (2, 2), "offset": (2, 0)}, {"image": A}, [A21, A22]]$/;" v +TEST_CASE_7 tests/test_grid_split.py /^TEST_CASE_7 = [{"grid": (1, 1)}, A, [A]]$/;" v +TEST_CASE_7 tests/test_grid_splitd.py /^TEST_CASE_7 = [{"keys": "image", "grid": (1, 1)}, {"image": A}, [A]]$/;" v +TEST_CASE_7 tests/test_handler_checkpoint_saver.py /^TEST_CASE_7 = [False, None, True, "val_loss", 1, "model.pt", False, False, False, True, 0, None,/;" v +TEST_CASE_7 tests/test_is_supported_format.py /^TEST_CASE_7 = [{"filename": "test.PNG", "suffixes": ["bmp", "png"]}, True]$/;" v +TEST_CASE_7 tests/test_label_quality_score.py /^TEST_CASE_7 = [ # y_pred (1, 1, 2, 2)$/;" v +TEST_CASE_7 tests/test_lesion_froc.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_lmdbdataset.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_load_image.py /^TEST_CASE_7 = [{"reader": ITKReader() if has_itk else "itkreader"}, ["test_image.nii.gz"], (128,/;" v +TEST_CASE_7 tests/test_map_label_valued.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_nrrd_reader.py /^TEST_CASE_7 = [(4, 4), ["test_image.nrrd", "test_image2.nrrd", "test_image3.nrrd"], (4, 4), np.f/;" v +TEST_CASE_7 tests/test_partition_dataset.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_pil_reader.py /^TEST_CASE_7 = [(128, 128, 3), ["test_image.png"], (128, 128, 2), (128, 128)]$/;" v +TEST_CASE_7 tests/test_rand_coarse_dropout.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_rand_grid_patch.py /^TEST_CASE_7 = [{"patch_size": (2, 2), "min_offset": 1, "max_offset": 2}, A, [A22]]$/;" v +TEST_CASE_7 tests/test_rand_grid_patchd.py /^TEST_CASE_7 = [{"patch_size": (2, 2), "min_offset": 1, "max_offset": 2}, {"image": A}, [A22]]$/;" v +TEST_CASE_7 tests/test_resnet.py /^TEST_CASE_7 = [ # 1D, batch 1, 2 input channels, bias_downsample$/;" v +TEST_CASE_7 tests/test_save_state.py /^TEST_CASE_7 = [torch.nn.PReLU().state_dict(), ["weight"]]$/;" v +TEST_CASE_7 tests/test_senet.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_sobel_gradient.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_sobel_gradientd.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_torchvision_fc_model.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7 tests/test_voxelmorph.py /^TEST_CASE_7 = [ # single channel 3D, batch 1,$/;" v +TEST_CASE_7 tests/test_wsireader.py /^TEST_CASE_7 = [$/;" v +TEST_CASE_7_COUNT_VALUE_DTYPE tests/test_avg_merger.py /^TEST_CASE_7_COUNT_VALUE_DTYPE = [$/;" v +TEST_CASE_7_COUNT_VALUE_DTYPE tests/test_zarr_avg_merger.py /^TEST_CASE_7_COUNT_VALUE_DTYPE = [$/;" v +TEST_CASE_7_PREPROCESS tests/test_patch_inferer.py /^TEST_CASE_7_PREPROCESS = [$/;" v +TEST_CASE_8 tests/test_bundle_download.py /^TEST_CASE_8 = [$/;" v +TEST_CASE_8 tests/test_compute_generalized_dice.py /^TEST_CASE_8 = [{"y": torch.ones((2, 2, 3, 3)), "y_pred": torch.zeros((2, 2, 3, 3))}, [0.0000, 0./;" v +TEST_CASE_8 tests/test_compute_meandice.py /^TEST_CASE_8 = [$/;" v +TEST_CASE_8 tests/test_compute_meaniou.py /^TEST_CASE_8 = [$/;" v 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tests/test_grid_patchd.py /^TEST_CASE_8 = [{"patch_size": (2, 2), "num_patches": 3, "sort_fn": "max"}, {"image": A}, [A22, A/;" v +TEST_CASE_8 tests/test_grid_split.py /^TEST_CASE_8 = [$/;" v +TEST_CASE_8 tests/test_grid_splitd.py /^TEST_CASE_8 = [$/;" v +TEST_CASE_8 tests/test_handler_checkpoint_saver.py /^TEST_CASE_8 = [False, None, True, "val_loss", 1, "model.pt", False, True, False, True, 0, None, /;" v +TEST_CASE_8 tests/test_lesion_froc.py /^TEST_CASE_8 = [$/;" v +TEST_CASE_8 tests/test_load_image.py /^TEST_CASE_8 = [$/;" v +TEST_CASE_8 tests/test_nrrd_reader.py /^TEST_CASE_8 = [$/;" v +TEST_CASE_8 tests/test_partition_dataset.py /^TEST_CASE_8 = [$/;" v +TEST_CASE_8 tests/test_rand_grid_patch.py /^TEST_CASE_8 = [$/;" v +TEST_CASE_8 tests/test_rand_grid_patchd.py /^TEST_CASE_8 = [$/;" v +TEST_CASE_8 tests/test_save_state.py /^TEST_CASE_8 = [torch.nn.PReLU(), ["weight"], False]$/;" v +TEST_CASE_8 tests/test_sobel_gradient.py /^TEST_CASE_8 = [ # Non-normalized kernels$/;" v 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tests/test_compute_roc_auc.py /^TEST_CASE_9 = [$/;" v +TEST_CASE_9 tests/test_config_item.py /^TEST_CASE_9 = ["collate_fn", "$monai.data.list_data_collate"]$/;" v +TEST_CASE_9 tests/test_data_statsd.py /^TEST_CASE_9 = [$/;" v +TEST_CASE_9 tests/test_fill_holes.py /^TEST_CASE_9 = ["open_full_connectivity_default_applied_labels", {"connectivity": 2}, grid_2, gri/;" v +TEST_CASE_9 tests/test_fill_holesd.py /^TEST_CASE_9 = ["open_full_connectivity_default_applied_labels", {"connectivity": 2}, grid_2, gri/;" v +TEST_CASE_9 tests/test_foreground_mask.py /^TEST_CASE_9 = [{"threshold": {"R": 140, "G": skimage.filters.threshold_otsu, "B": "otsu"}}, IMAG/;" v +TEST_CASE_9 tests/test_foreground_maskd.py /^TEST_CASE_9 = [$/;" v +TEST_CASE_9 tests/test_grid_patch.py /^TEST_CASE_9 = [{"patch_size": (2, 2), "num_patches": 4, "sort_fn": "min"}, A, [A11, A12, A21, A2/;" v +TEST_CASE_9 tests/test_grid_patchd.py /^TEST_CASE_9 = [{"patch_size": (2, 2), "num_patches": 4, "sort_fn": "min"}, {"image": A}, [A11, A/;" v +TEST_CASE_9 tests/test_lesion_froc.py /^TEST_CASE_9 = [$/;" v +TEST_CASE_9 tests/test_load_image.py /^TEST_CASE_9 = [$/;" v +TEST_CASE_9 tests/test_rand_grid_patch.py /^TEST_CASE_9 = [$/;" v +TEST_CASE_9 tests/test_rand_grid_patchd.py /^TEST_CASE_9 = [$/;" v +TEST_CASE_9 tests/test_save_state.py /^TEST_CASE_9 = [torch.nn.PReLU(), ["weight"], True, False]$/;" v +TEST_CASE_9 tests/test_sobel_gradient.py /^TEST_CASE_9 = [ # Normalized gradients and normalized kernels$/;" v +TEST_CASE_9 tests/test_sobel_gradientd.py /^TEST_CASE_9 = [ # Non-normalized kernels$/;" v +TEST_CASE_9 tests/test_voxelmorph.py /^TEST_CASE_9 = [ # single channel 3D, batch 1,$/;" v +TEST_CASE_9 tests/test_wsireader.py /^TEST_CASE_9 = [$/;" v +TEST_CASE_9_LARGER_SHAPE tests/test_zarr_avg_merger.py /^TEST_CASE_9_LARGER_SHAPE = [$/;" v +TEST_CASE_9_STR_MERGER tests/test_patch_inferer.py /^TEST_CASE_9_STR_MERGER = [$/;" v +TEST_CASE_ACT tests/test_get_layers.py /^TEST_CASE_ACT = [$/;" v 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tests/test_nvtx_decorator.py /^TEST_CASE_ARRAY_1 = [np.random.randn(3, 10, 10)]$/;" v +TEST_CASE_ARRAY_1 tests/test_nvtx_transform.py /^TEST_CASE_ARRAY_1 = [np.random.randn(3, 10, 10)]$/;" v +TEST_CASE_BIN_1 tests/test_handler_metrics_reloaded.py /^TEST_CASE_BIN_1 = [$/;" v +TEST_CASE_BIN_2 tests/test_handler_metrics_reloaded.py /^TEST_CASE_BIN_2 = [$/;" v +TEST_CASE_BIN_3 tests/test_handler_metrics_reloaded.py /^TEST_CASE_BIN_3 = [$/;" v +TEST_CASE_CAT_1 tests/test_handler_metrics_reloaded.py /^TEST_CASE_CAT_1 = [$/;" v +TEST_CASE_CAT_2 tests/test_handler_metrics_reloaded.py /^TEST_CASE_CAT_2 = [$/;" v +TEST_CASE_COLOR_JITTER_1 tests/test_cucim_dict_transform.py /^TEST_CASE_COLOR_JITTER_1 = [$/;" v +TEST_CASE_COLOR_JITTER_1 tests/test_cucim_transform.py /^TEST_CASE_COLOR_JITTER_1 = [$/;" v +TEST_CASE_COLOR_JITTER_1 tests/test_rand_cucim_dict_transform.py /^TEST_CASE_COLOR_JITTER_1 = [$/;" v +TEST_CASE_COLOR_JITTER_1 tests/test_rand_cucim_transform.py /^TEST_CASE_COLOR_JITTER_1 = [$/;" v +TEST_CASE_COLOR_JITTER_2 tests/test_cucim_dict_transform.py /^TEST_CASE_COLOR_JITTER_2 = [$/;" v +TEST_CASE_COLOR_JITTER_2 tests/test_cucim_transform.py /^TEST_CASE_COLOR_JITTER_2 = [$/;" v +TEST_CASE_CONFUSION_MATRIX tests/test_compute_confusion_matrix.py /^TEST_CASE_CONFUSION_MATRIX = [$/;" v +TEST_CASE_CREATION_FAIL tests/test_adversarial_loss.py /^TEST_CASE_CREATION_FAIL = [{"reduction": "sum", "criterion": "invalid"}]$/;" v +TEST_CASE_DEEP_SUPERVISION tests/test_dynunet.py /^TEST_CASE_DEEP_SUPERVISION = []$/;" v +TEST_CASE_DEVICE_1 tests/test_wsireader.py /^TEST_CASE_DEVICE_1 = [$/;" v +TEST_CASE_DEVICE_2 tests/test_wsireader.py /^TEST_CASE_DEVICE_2 = [$/;" v +TEST_CASE_DEVICE_3 tests/test_wsireader.py /^TEST_CASE_DEVICE_3 = [$/;" v +TEST_CASE_DEVICE_4 tests/test_wsireader.py /^TEST_CASE_DEVICE_4 = [$/;" v +TEST_CASE_DEVICE_5 tests/test_wsireader.py /^TEST_CASE_DEVICE_5 = [$/;" v +TEST_CASE_DEVICE_6 tests/test_wsireader.py /^TEST_CASE_DEVICE_6 = [$/;" v +TEST_CASE_DEVICE_7 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= [$/;" v +TEST_CASE_DYNUNET_2D tests/test_dynunet.py /^TEST_CASE_DYNUNET_2D = []$/;" v +TEST_CASE_DYNUNET_3D tests/test_dynunet.py /^TEST_CASE_DYNUNET_3D = [] # in 3d cases, also test anisotropic kernel\/strides$/;" v +TEST_CASE_ERROR_0 tests/test_patch_inferer.py /^TEST_CASE_ERROR_0 = [None, dict(splitter=1), TypeError]$/;" v +TEST_CASE_ERROR_0 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_0 = [TENSOR_4x4, {"patch_size": (2, 2), "overlap": 1.0}, ValueError]$/;" v +TEST_CASE_ERROR_0 tests/test_sobel_gradient.py /^TEST_CASE_ERROR_0 = [IMAGE, {"kernel_size": 1}] # kernel size less than 3$/;" v +TEST_CASE_ERROR_0 tests/test_sobel_gradientd.py /^TEST_CASE_ERROR_0 = [{"image": IMAGE}, {"keys": "image", "kernel_size": 1}] # kernel size less /;" v +TEST_CASE_ERROR_0 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_0 = [$/;" v +TEST_CASE_ERROR_0C tests/test_wsireader.py /^TEST_CASE_ERROR_0C = [np.ones((16, 16), dtype=np.uint8)] # no color channel$/;" v 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/^TEST_CASE_ERROR_1 = [$/;" v +TEST_CASE_ERROR_10 tests/test_patch_inferer.py /^TEST_CASE_ERROR_10 = [$/;" v +TEST_CASE_ERROR_10 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_10 = [WSI_GENERIC_TIFF_PATH, {"patch_size": (2, 2), "reader": ImageReader}, Valu/;" v +TEST_CASE_ERROR_1C tests/test_wsireader.py /^TEST_CASE_ERROR_1C = [np.ones((16, 16, 1), dtype=np.uint8)] # one color channel$/;" v +TEST_CASE_ERROR_1_MPP tests/test_wsireader.py /^TEST_CASE_ERROR_1_MPP = [$/;" v +TEST_CASE_ERROR_2 tests/test_foreground_mask.py /^TEST_CASE_ERROR_2 = [{"threshold": {"K": 1}}, IMAGE1]$/;" v +TEST_CASE_ERROR_2 tests/test_foreground_maskd.py /^TEST_CASE_ERROR_2 = [{"keys": "image", "threshold": {"K": 1}}, {"image": IMAGE1}]$/;" v +TEST_CASE_ERROR_2 tests/test_patch_inferer.py /^TEST_CASE_ERROR_2 = [None, dict(splitter=SlidingWindowSplitter(patch_size=(2, 2)), merger_cls=la/;" v +TEST_CASE_ERROR_2 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_2 = [TENSOR_4x4, {"patch_size": (2, 2), "overlap": -1}, ValueError]$/;" v +TEST_CASE_ERROR_2 tests/test_sobel_gradient.py /^TEST_CASE_ERROR_2 = [IMAGE, {"spatial_axes": "horizontal"}] # wrong type direction$/;" v +TEST_CASE_ERROR_2 tests/test_sobel_gradientd.py /^TEST_CASE_ERROR_2 = [{"image": IMAGE}, {"keys": "image", "spatial_axes": "horizontal"}] # wrong/;" v +TEST_CASE_ERROR_2 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_2 = [WSI_GENERIC_TIFF_PATH, {"patch_size": (2, 2), "overlap": -1, "reader": WSI_/;" v +TEST_CASE_ERROR_2C tests/test_wsireader.py /^TEST_CASE_ERROR_2C = [np.ones((16, 16, 2), dtype=np.uint8)] # two color channels$/;" v +TEST_CASE_ERROR_2_POWER tests/test_wsireader.py /^TEST_CASE_ERROR_2_POWER = [WSI_APERIO_SVS_PATH, {}, {"location": (0, 0), "size": (2, 1), "power"/;" v +TEST_CASE_ERROR_3 tests/test_patch_inferer.py /^TEST_CASE_ERROR_3 = [$/;" v +TEST_CASE_ERROR_3 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_3 = [TENSOR_4x4, {"patch_size": (2, 2), "overlap": 3}, ValueError]$/;" v +TEST_CASE_ERROR_3 tests/test_sobel_gradient.py /^TEST_CASE_ERROR_3 = [IMAGE, {"spatial_axes": 3}] # wrong direction$/;" v +TEST_CASE_ERROR_3 tests/test_sobel_gradientd.py /^TEST_CASE_ERROR_3 = [{"image": IMAGE}, {"keys": "image", "spatial_axes": 3}] # wrong direction$/;" v +TEST_CASE_ERROR_3 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_3 = [WSI_GENERIC_TIFF_PATH, {"patch_size": (2, 2), "overlap": 3, "reader": WSI_R/;" v +TEST_CASE_ERROR_3D tests/test_wsireader.py /^TEST_CASE_ERROR_3D = [np.ones((16, 16, 16, 3), dtype=np.uint8)] # 3D + color$/;" v +TEST_CASE_ERROR_3_POWER tests/test_wsireader.py /^TEST_CASE_ERROR_3_POWER = [$/;" v +TEST_CASE_ERROR_4 tests/test_patch_inferer.py /^TEST_CASE_ERROR_4 = [$/;" v +TEST_CASE_ERROR_4 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_4 = [TENSOR_4x4, {"patch_size": (2, 2), "offset": 4}, ValueError]$/;" v +TEST_CASE_ERROR_4 tests/test_sobel_gradient.py /^TEST_CASE_ERROR_4 = [IMAGE, {"spatial_axes": [3]}] # wrong direction in a list$/;" v +TEST_CASE_ERROR_4 tests/test_sobel_gradientd.py /^TEST_CASE_ERROR_4 = [{"image": IMAGE}, {"keys": "image", "spatial_axes": [3]}] # wrong directio/;" v +TEST_CASE_ERROR_4 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_4 = [$/;" v +TEST_CASE_ERROR_5 tests/test_patch_inferer.py /^TEST_CASE_ERROR_5 = [None, dict(splitter=SlidingWindowSplitter(patch_size=(2, 2)), preprocessing/;" v +TEST_CASE_ERROR_5 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_5 = [TENSOR_4x4, {"patch_size": (2, 2), "offset": -3, "pad_mode": "constant"}, V/;" v +TEST_CASE_ERROR_5 tests/test_sobel_gradient.py /^TEST_CASE_ERROR_5 = [IMAGE, {"spatial_axes": [0, 4]}] # correct and wrong direction in a list$/;" v +TEST_CASE_ERROR_5 tests/test_sobel_gradientd.py /^TEST_CASE_ERROR_5 = [$/;" v +TEST_CASE_ERROR_5 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_5 = [$/;" v +TEST_CASE_ERROR_6 tests/test_patch_inferer.py /^TEST_CASE_ERROR_6 = [None, dict(splitter=SlidingWindowSplitter(patch_size=(2, 2)), postprocessin/;" v +TEST_CASE_ERROR_6 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_6 = [TENSOR_4x4, {"patch_size": (2, 2), "offset": -1, "pad_mode": None}, ValueEr/;" v +TEST_CASE_ERROR_6 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_6 = [$/;" v +TEST_CASE_ERROR_7 tests/test_patch_inferer.py /^TEST_CASE_ERROR_7 = [$/;" v +TEST_CASE_ERROR_7 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_7 = [TENSOR_4x4, {"patch_size": (2, 2), "filter_fn": extra_parameter_filter}, Va/;" v +TEST_CASE_ERROR_7 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_7 = [$/;" v +TEST_CASE_ERROR_8 tests/test_patch_inferer.py /^TEST_CASE_ERROR_8 = [torch.zeros(2, 2), dict(splitter=None), ValueError]$/;" v +TEST_CASE_ERROR_8 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_8 = [TENSOR_4x4, {"patch_size": (2, 2), "filter_fn": missing_parameter_filter}, /;" v +TEST_CASE_ERROR_8 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_8 = [$/;" v +TEST_CASE_ERROR_9 tests/test_patch_inferer.py /^TEST_CASE_ERROR_9 = [MetaTensor(torch.zeros(2, 2)), dict(splitter=None), ValueError]$/;" v +TEST_CASE_ERROR_9 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_9 = [TENSOR_4x4, {"patch_size": (2, 2), "filter_fn": 1}, ValueError]$/;" v +TEST_CASE_ERROR_9 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_9 = [$/;" v +TEST_CASE_EXTRACT tests/test_localnet_block.py /^TEST_CASE_EXTRACT = [$/;" v +TEST_CASE_EXTRACTION tests/test_regunet_block.py /^TEST_CASE_EXTRACTION = [$/;" v +TEST_CASE_FAIL tests/test_autoencoder.py /^TEST_CASE_FAIL = { # 2-channel 2D, should fail because of stride\/channel mismatch.$/;" v +TEST_CASE_FAKE_TOKEN_1 tests/test_bundle_get_data.py /^TEST_CASE_FAKE_TOKEN_1 = [{"bundle_name": "spleen_ct_segmentation", "version": "0.1.0", "auth_to/;" v +TEST_CASE_FAKE_TOKEN_2 tests/test_bundle_get_data.py /^TEST_CASE_FAKE_TOKEN_2 = [$/;" v 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[$/;" v +TEST_CASE_FLIP_1 tests/test_rand_cucim_transform.py /^TEST_CASE_FLIP_1 = [$/;" v +TEST_CASE_INVALID_AXIS_1 tests/test_detect_envelope.py /^TEST_CASE_INVALID_AXIS_1 = [$/;" v +TEST_CASE_INVALID_AXIS_2 tests/test_detect_envelope.py /^TEST_CASE_INVALID_AXIS_2 = [$/;" v +TEST_CASE_INVALID_DTYPE tests/test_detect_envelope.py /^TEST_CASE_INVALID_DTYPE = [$/;" v +TEST_CASE_INVALID_IMG_LEN tests/test_detect_envelope.py /^TEST_CASE_INVALID_IMG_LEN = [$/;" v +TEST_CASE_INVALID_N tests/test_detect_envelope.py /^TEST_CASE_INVALID_N = [$/;" v +TEST_CASE_INVALID_OBJ tests/test_detect_envelope.py /^TEST_CASE_INVALID_OBJ = [{}, "a string", "__call__"] # method expected to raise exception$/;" v +TEST_CASE_KERNEL_0 tests/test_sobel_gradient.py /^TEST_CASE_KERNEL_0 = [$/;" v +TEST_CASE_KERNEL_0 tests/test_sobel_gradientd.py /^TEST_CASE_KERNEL_0 = [$/;" v +TEST_CASE_KERNEL_1 tests/test_sobel_gradient.py /^TEST_CASE_KERNEL_1 = [$/;" v +TEST_CASE_KERNEL_1 tests/test_sobel_gradientd.py 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tests/test_get_layers.py /^class TestSuggestion(unittest.TestCase):$/;" c +TestTRTExport tests/test_bundle_trt_export.py /^class TestTRTExport(unittest.TestCase):$/;" c +TestTargetBasedSpatialCropd tests/test_reference_based_spatial_cropd.py /^class TestTargetBasedSpatialCropd(unittest.TestCase):$/;" c +TestTciaDataset tests/test_tciadataset.py /^class TestTciaDataset(unittest.TestCase):$/;" c +TestTensor tests/test_convert_data_type.py /^class TestTensor(torch.Tensor):$/;" c +TestTestTimeAugmentation tests/test_testtimeaugmentation.py /^class TestTestTimeAugmentation(unittest.TestCase):$/;" c +TestTextEncoder tests/test_text_encoding.py /^class TestTextEncoder(unittest.TestCase):$/;" c +TestThreadContainer tests/test_threadcontainer.py /^class TestThreadContainer(unittest.TestCase):$/;" c +TestThresholdIntensity tests/test_threshold_intensity.py /^class TestThresholdIntensity(unittest.TestCase):$/;" c +TestThresholdIntensityd tests/test_threshold_intensityd.py /^class TestThresholdIntensityd(unittest.TestCase):$/;" c +TestTiffFile tests/test_wsireader.py /^class TestTiffFile(WSIReaderTests.Tests):$/;" c +TestTimeAugmentation docs/build/html/_modules/monai/data/test_time_augmentation.html /^<div class="viewcode-block" id="TestTimeAugmentation">$/;" I +TestTimeAugmentation docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +TestTimeAugmentation docs/source/data.rst /^TestTimeAugmentation$/;" s chapter:Utilities +TestTimeAugmentation monai/data/test_time_augmentation.py /^class TestTimeAugmentation:$/;" c +TestTimeAugmentation# docs/build/html/data.html /^<h3>TestTimeAugmentation<a class="headerlink" href="#testtimeaugmentation" title="Link to this h/;" j +TestTimedCall tests/test_timedcall_dist.py /^class TestTimedCall(unittest.TestCase):$/;" c +TestToContiguous tests/test_to_contiguous.py /^class 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c +TestToPIL tests/test_to_pild.py /^class TestToPIL(unittest.TestCase):$/;" c +TestToTensor tests/test_to_tensor.py /^class TestToTensor(unittest.TestCase):$/;" c +TestToTensord tests/test_to_tensord.py /^class TestToTensord(unittest.TestCase):$/;" c +TestToTupleOfDictionaries tests/test_monai_utils_misc.py /^class TestToTupleOfDictionaries(unittest.TestCase):$/;" c +TestTorchVision tests/test_torchvision.py /^class TestTorchVision(unittest.TestCase):$/;" c +TestTorchVisionFCModel tests/test_torchvision_fc_model.py /^class TestTorchVisionFCModel(unittest.TestCase):$/;" c +TestTorchVisiond tests/test_torchvisiond.py /^class TestTorchVisiond(unittest.TestCase):$/;" c +TestTorchscript tests/test_torchscript_utils.py /^class TestTorchscript(unittest.TestCase):$/;" c +TestTraceable tests/test_traceable_transform.py /^class TestTraceable(unittest.TestCase):$/;" c +TestTranschex tests/test_transchex.py /^class TestTranschex(unittest.TestCase):$/;" c +TestTransform tests/test_transform.py /^class TestTransform(unittest.TestCase):$/;" c +TestTransformerBlock tests/test_transformerblock.py /^class TestTransformerBlock(unittest.TestCase):$/;" c +TestTransformsWCacheDatasetAndPersistentWorkers tests/test_cachedataset_persistent_workers.py /^class TestTransformsWCacheDatasetAndPersistentWorkers(unittest.TestCase):$/;" c +TestTranspose tests/test_transpose.py /^class TestTranspose(unittest.TestCase):$/;" c +TestTranspose tests/test_transposed.py /^class TestTranspose(unittest.TestCase):$/;" c +TestTverskyLoss tests/test_tversky_loss.py /^class TestTverskyLoss(unittest.TestCase):$/;" c +TestUNET tests/test_unet.py /^class TestUNET(unittest.TestCase):$/;" c +TestUNETR tests/test_unetr.py /^class TestUNETR(unittest.TestCase):$/;" c +TestUltrasoundConfidenceMapTransform tests/test_ultrasound_confidence_map_transform.py /^class TestUltrasoundConfidenceMapTransform(unittest.TestCase):$/;" c +TestUnsqueeze tests/test_squeeze_unsqueeze.py /^class TestUnsqueeze(unittest.TestCase):$/;" c +TestUpBlock tests/test_dynunet_block.py /^class TestUpBlock(unittest.TestCase):$/;" c +TestUpBlock tests/test_unetr_block.py /^class TestUpBlock(unittest.TestCase):$/;" c +TestUpsample tests/test_upsample_block.py /^class TestUpsample(unittest.TestCase):$/;" c +TestVNet tests/test_vnet.py /^class TestVNet(unittest.TestCase):$/;" c +TestVOXELMORPH tests/test_voxelmorph.py /^class TestVOXELMORPH(unittest.TestCase):$/;" c +TestVarAutoEncoder tests/test_varautoencoder.py /^class TestVarAutoEncoder(unittest.TestCase):$/;" c +TestVarNet tests/test_varnet.py /^class TestVarNet(unittest.TestCase):$/;" c +TestVerifyMetaData tests/test_bundle_verify_metadata.py /^class TestVerifyMetaData(unittest.TestCase):$/;" c +TestVerifyNetwork tests/test_bundle_verify_net.py /^class TestVerifyNetwork(unittest.TestCase):$/;" c +TestVersionCompare tests/test_version.py /^class TestVersionCompare(unittest.TestCase):$/;" c +TestViT tests/test_vit.py /^class TestViT(unittest.TestCase):$/;" c +TestVideoDataset tests/test_video_datasets.py /^ class TestVideoDataset(unittest.TestCase):$/;" c class:Base +TestVideoFileDataset tests/test_video_datasets.py /^class TestVideoFileDataset(Base.TestVideoDataset):$/;" c +TestVisibleDevices tests/test_set_visible_devices.py /^class TestVisibleDevices(unittest.TestCase):$/;" c +TestVitAutoenc tests/test_vitautoenc.py /^class TestVitAutoenc(unittest.TestCase):$/;" c +TestVoteEnsemble tests/test_vote_ensemble.py /^class TestVoteEnsemble(unittest.TestCase):$/;" c +TestVoteEnsembled tests/test_vote_ensembled.py /^class TestVoteEnsembled(unittest.TestCase):$/;" c +TestWarp tests/test_warp.py /^class TestWarp(unittest.TestCase):$/;" c +TestWatershed tests/test_watershed.py /^class TestWatershed(unittest.TestCase):$/;" c +TestWatershedd tests/test_watershedd.py /^class TestWatershedd(unittest.TestCase):$/;" c +TestWeightInit tests/test_weight_init.py /^class TestWeightInit(unittest.TestCase):$/;" c +TestWithAllowMissingKeysMode tests/test_with_allow_missing_keys.py /^class TestWithAllowMissingKeysMode(unittest.TestCase):$/;" c +TestWorkflowProfiler tests/test_profiling.py /^class TestWorkflowProfiler(unittest.TestCase):$/;" c +TestWriteMetricsReports tests/test_write_metrics_reports.py /^class TestWriteMetricsReports(unittest.TestCase):$/;" c +TestZipDataset tests/test_zipdataset.py /^class TestZipDataset(unittest.TestCase):$/;" c +TestZoom tests/test_zoom.py /^class TestZoom(NumpyImageTestCase2D):$/;" c +TestZoomAffine tests/test_zoom_affine.py /^class TestZoomAffine(unittest.TestCase):$/;" c +TestZoomd tests/test_zoomd.py /^class TestZoomd(NumpyImageTestCase2D):$/;" c +TestclDiceLoss tests/test_cldice_loss.py /^class TestclDiceLoss(unittest.TestCase):$/;" c +Testing data CONTRIBUTING.md /^##### Testing data$/;" T subsubsection:The contribution process""Preparing pull requests""Unit testing +TestnnUNetV2Runner tests/test_integration_nnunetv2_runner.py /^class TestnnUNetV2Runner(unittest.TestCase):$/;" c 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["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +The code reviewing process CONTRIBUTING.md /^## The code reviewing process$/;" s +The command line interface docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles +The command line interface docs/source/config_syntax.md /^## The command line interface$/;" s chapter:MONAI Bundle Configuration +The command line interface# docs/build/html/config_syntax.html /^<h2>The command line interface<a class="headerlink" href="#the-command-line-interface" title="Li/;" i +The contribution process CONTRIBUTING.md /^## The contribution process$/;" s +Their docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +Then 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Are you sure you/;" v +_ monai/transforms/spatial/array.py /^cupy, _ = optional_import("cupy")$/;" v +_ monai/transforms/spatial/array.py /^cupy_ndi, _ = optional_import("cupyx.scipy.ndimage")$/;" v +_ monai/transforms/spatial/array.py /^np_ndi, _ = optional_import("scipy.ndimage")$/;" v +_ monai/transforms/spatial/dictionary.py /^nib, _ = optional_import("nibabel")$/;" v +_ monai/transforms/spatial/functional.py /^cupy, _ = optional_import("cupy")$/;" v +_ monai/transforms/spatial/functional.py /^cupy_ndi, _ = optional_import("cupyx.scipy.ndimage")$/;" v +_ monai/transforms/spatial/functional.py /^np_ndi, _ = optional_import("scipy.ndimage")$/;" v +_ monai/transforms/utility/array.py /^pil_image_fromarray, _ = optional_import("PIL.Image", name="fromarray")$/;" v +_ monai/transforms/utils.py /^cp_ndarray, _ = optional_import("cupy", name="ndarray")$/;" v +_ monai/utils/enums.py /^ EventEnum, _ = optional_import($/;" v +_ monai/utils/jupyter_utils.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v +_ monai/utils/jupyter_utils.py /^ Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Ev/;" v +_ monai/utils/misc.py /^ SafeLoader, _ = optional_import("yaml", name="SafeLoader", as_type="base")$/;" v +_ monai/utils/nvtx.py /^_nvtx, _ = optional_import("torch._C._nvtx", descriptor="NVTX is not installed. Are you sure you/;" v +_ monai/utils/type_conversion.py /^cp_ndarray, _ = optional_import("cupy", name="ndarray")$/;" v +_ monai/visualize/img2tensorboard.py /^ Summary, _ = optional_import("tensorboard.compat.proto.summary_pb2", name="Summary")$/;" v +_ monai/visualize/img2tensorboard.py /^ SummaryWriter, _ = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v +_ monai/visualize/img2tensorboard.py /^ SummaryX, _ = optional_import("tensorboardX.proto.summary_pb2", name="Summary")$/;" v +_ monai/visualize/img2tensorboard.py /^GifImage, _ = optional_import("PIL.GifImagePlugin", name="Image")$/;" v +_ monai/visualize/img2tensorboard.py /^PIL, _ = optional_import("PIL")$/;" v +_ monai/visualize/utils.py /^ cm, _ = optional_import("matplotlib", name="cm")$/;" v +_ monai/visualize/utils.py /^ plt, _ = optional_import("matplotlib", name="pyplot")$/;" v +_ tests/min_tests.py /^ _, err_mod = load_submodules(sys.modules["monai"], True)$/;" v +_ tests/test_anchor_box.py /^_, has_torchvision = optional_import("torchvision")$/;" v +_ tests/test_auto3dseg_ensemble.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v +_ tests/test_auto3dseg_hpo.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v +_ tests/test_bundle_download.py /^_, has_huggingface_hub = optional_import("huggingface_hub")$/;" v +_ tests/test_bundle_get_data.py /^requests, _ = optional_import("requests")$/;" v +_ tests/test_bundle_trt_export.py /^_, has_onnx = optional_import("onnx", descriptor="Onnx is not installed. 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Are you sure /;" v +_ tests/test_handler_tb_image.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v +_ tests/test_hausdorff_loss.py /^_, has_scipy = optional_import("scipy")$/;" v +_ tests/test_hovernet_instance_map_post_processing.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v +_ tests/test_hovernet_instance_map_post_processing.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v +_ tests/test_hovernet_instance_map_post_processingd.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v +_ tests/test_hovernet_instance_map_post_processingd.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v +_ tests/test_hovernet_nuclear_type_post_processing.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v +_ tests/test_hovernet_nuclear_type_post_processing.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v +_ tests/test_hovernet_nuclear_type_post_processingd.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v +_ tests/test_hovernet_nuclear_type_post_processingd.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v +_ tests/test_image_rw.py /^_, has_itk = optional_import("itk", allow_namespace_pkg=True)$/;" v +_ tests/test_integration_autorunner.py /^_, has_nni = optional_import("nni")$/;" v +_ tests/test_integration_autorunner.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v +_ tests/test_integration_gpu_customization.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v +_ tests/test_integration_nnunetv2_runner.py /^_, has_nnunet = optional_import("nnunetv2")$/;" v +_ tests/test_integration_nnunetv2_runner.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v +_ tests/test_integration_segmentation_3d.py /^SummaryWriter, _ = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v +_ tests/test_integration_workflows.py /^SummaryWriter, _ = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v +_ tests/test_inverse.py /^ _, has_nib = optional_import("nibabel")$/;" v +_ tests/test_inverse_array.py /^_, has_nib = optional_import("nibabel")$/;" v +_ tests/test_inverse_collation.py /^ _, has_nib = optional_import("nibabel")$/;" v +_ tests/test_itk_torch_bridge.py /^_, has_nib = optional_import("nibabel")$/;" v +_ tests/test_lesion_froc.py /^_, has_skimage = optional_import("skimage.measure")$/;" v +_ tests/test_lesion_froc.py /^_, has_sp = optional_import("scipy.ndimage")$/;" v +_ tests/test_load_image.py /^ITKReader, _ = optional_import("monai.data", name="ITKReader", as_type="decorator")$/;" v +_ tests/test_load_image.py /^itk_uc, _ = optional_import("itk", name="UC", allow_namespace_pkg=True)$/;" v +_ tests/test_lr_finder.py /^ _, has_pil = optional_import("PIL.Image")$/;" v +_ tests/test_make_nifti.py /^_, has_nib = optional_import("nibabel")$/;" v +_ tests/test_masked_patch_wsi_dataset.py /^_, has_codec = optional_import("imagecodecs")$/;" v +_ tests/test_masked_patch_wsi_dataset.py /^_, has_osl = optional_import("openslide")$/;" v +_ tests/test_masked_patch_wsi_dataset.py /^_, has_tiff = optional_import("tifffile", name="imwrite")$/;" v +_ tests/test_matshow3d.py /^compare_images, _ = optional_import("matplotlib.testing.compare", name="compare_images")$/;" v +_ tests/test_metrics_reloaded.py /^_, has_metrics = optional_import("MetricsReloaded")$/;" v +_ tests/test_milmodel.py /^models, _ = optional_import("torchvision.models")$/;" v +_ tests/test_nvtx_decorator.py /^_, has_cut = optional_import("cucim.core.operations.expose.transform")$/;" v +_ tests/test_nvtx_decorator.py /^_, has_nvtx = optional_import("torch._C._nvtx", descriptor="NVTX is not installed. Are you sure /;" v +_ tests/test_nvtx_decorator.py /^_, has_tvt = optional_import("torchvision.transforms")$/;" v +_ tests/test_nvtx_transform.py /^_, has_nvtx = optional_import("torch._C._nvtx", descriptor="NVTX is not installed. Are you sure /;" v +_ tests/test_patch_wsi_dataset.py /^_, has_codec = optional_import("imagecodecs")$/;" v +_ tests/test_perceptual_loss.py /^_, has_torchvision = optional_import("torchvision")$/;" v +_ tests/test_plot_2d_or_3d_image.py /^SummaryWriterX, _ = optional_import("tensorboardX", name="SummaryWriter")$/;" v +_ tests/test_profiling.py /^pd, _ = optional_import("pandas")$/;" v +_ tests/test_quicknat.py /^_, has_se = optional_import("squeeze_and_excitation")$/;" v +_ tests/test_rand_cucim_dict_transform.py /^_, has_cut = optional_import("cucim.core.operations.expose.transform")$/;" v +_ tests/test_rand_cucim_dict_transform.py /^cp, _ = optional_import("cupy")$/;" v +_ tests/test_rand_cucim_transform.py /^_, has_cut = optional_import("cucim.core.operations.expose.transform")$/;" v +_ tests/test_rand_cucim_transform.py /^cp, _ = optional_import("cupy")$/;" v +_ tests/test_rand_gibbs_noise.py /^_, has_torch_fft = optional_import("torch.fft", name="fftshift")$/;" v +_ tests/test_rand_gibbs_noised.py /^_, has_torch_fft = optional_import("torch.fft", name="fftshift")$/;" v +_ tests/test_reference_resolver.py /^_, has_tv = optional_import("torchvision", "0.8.0", min_version)$/;" v +_ tests/test_resample_to_match.py /^_, has_itk = optional_import("itk", allow_namespace_pkg=True)$/;" v +_ tests/test_retinanet.py /^_, has_torchvision = optional_import("torchvision")$/;" v +_ tests/test_retinanet_detector.py /^_, has_torchvision = optional_import("torchvision")$/;" v +_ tests/test_safe_dtype_range.py /^cp, _ = optional_import("cupy")$/;" v +_ tests/test_save_image.py /^_, has_itk = optional_import("itk", allow_namespace_pkg=True)$/;" v +_ tests/test_save_imaged.py /^_, has_itk = optional_import("itk", allow_namespace_pkg=True)$/;" v +_ tests/test_signal_continuouswavelet.py /^_, has_pywt = optional_import("pywt")$/;" v +_ tests/test_signal_rand_add_squarepulse.py /^_, has_scipy = optional_import("scipy")$/;" v +_ tests/test_signal_rand_add_squarepulse_partial.py /^_, has_scipy = optional_import("scipy")$/;" v +_ tests/test_signal_rand_shift.py /^_, has_scipy = optional_import("scipy")$/;" v +_ tests/test_signal_remove_frequency.py /^_, has_scipy = optional_import("scipy")$/;" v +_ tests/test_signal_remove_frequency.py /^_, has_torchaudio = optional_import("torchaudio")$/;" v +_ tests/test_sliding_patch_wsi_dataset.py /^_, has_codec = optional_import("imagecodecs")$/;" v +_ tests/test_sliding_window_hovernet_inference.py /^_, has_tqdm = optional_import("tqdm")$/;" v +_ tests/test_sliding_window_inference.py /^_, has_tqdm = optional_import("tqdm")$/;" v +_ tests/test_testtimeaugmentation.py /^ _, has_nib = optional_import("nibabel")$/;" v +_ tests/test_threadcontainer.py /^ _, has_ignite = optional_import("ignite")$/;" v +_ tests/test_threadcontainer.py /^compare_images, _ = optional_import("matplotlib.testing.compare", name="compare_images")$/;" v +_ tests/test_to_cupy.py /^cp, _ = optional_import("cupy")$/;" v +_ tests/test_to_cupyd.py /^cp, _ = optional_import("cupy")$/;" v +_ tests/test_to_numpy.py /^cp, _ = optional_import("cupy")$/;" v +_ tests/test_to_numpyd.py /^cp, _ = optional_import("cupy")$/;" v +_ tests/test_to_pil.py /^ PILImageImage, _ = optional_import("PIL.Image", name="Image")$/;" v +_ tests/test_to_pild.py /^ PILImageImage, _ = optional_import("PIL.Image", name="Image")$/;" v +_ tests/test_to_tensor.py /^cp, _ = optional_import("cupy")$/;" v +_ tests/test_to_tensord.py /^cp, _ = optional_import("cupy")$/;" v +_ tests/test_torchvision_fc_model.py /^_, has_tv = optional_import("torchvision", "0.12", min_version)$/;" v +_ tests/test_watershed.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v +_ tests/test_watershed.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v +_ tests/test_watershedd.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v +_ tests/test_watershedd.py /^_, 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__call__(self, data):$/;" m class:AddGuidanceFromPointsd +__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:AddGuidanceSignald +__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:AddInitialSeedPointd +__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:AddRandomGuidanced +__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:Fetch2DSliced +__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:FindDiscrepancyRegionsd +__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:SpatialCropForegroundd +__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data: Any) -> dict:$/;" m class:FindAllValidSlicesd typeref:typename:dict +__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data: Any) -> dict:$/;" m class:ResizeGuidanced typeref:typename:dict +__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data: Any) -> dict:$/;" m class:RestoreLabeld typeref:typename:dict +__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data: Any) -> dict:$/;" m class:SpatialCropGuidanced typeref:typename:dict +__call__ monai/apps/detection/metrics/coco.py /^ def __call__(self, *args: Any, **kwargs: Any) -> tuple[dict[str, float], dict[str, np.ndarra/;" m class:COCOMetric typeref:typename:tuple[dict[str,float],dict[str,np.ndarray]|None] +__call__ monai/apps/detection/transforms/array.py /^ def __call__( # type: ignore$/;" m class:BoxToMask typeref:typename:NdarrayOrTensor +__call__ monai/apps/detection/transforms/array.py /^ def __call__( # type: ignore$/;" m class:ClipBoxToImage typeref:typename:tuple[NdarrayOrTensor,tuple|NdarrayOrTensor] +__call__ monai/apps/detection/transforms/array.py /^ def __call__( # type: ignore[override]$/;" m class:SpatialCropBox typeref:typename:tuple[NdarrayTensor,tuple|NdarrayOrTensor] +__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ConvertBoxMode typeref:typename:NdarrayOrTensor +__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ConvertBoxToStandardMode typeref:typename:NdarrayOrTensor +__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:StandardizeEmptyBox typeref:typename:NdarrayOrTensor +__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor, affine: NdarrayOrTensor | None) -> NdarrayOrTenso/;" m class:AffineBox typeref:typename:NdarrayOrTensor +__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor, spatial_size: Sequence[int] | int): # type: igno/;" m class:FlipBox +__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor, src_spatial_size: Sequence[int] | int) -> Ndarray/;" m class:ResizeBox typeref:typename:NdarrayOrTensor +__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayTensor, spatial_size: Sequence[int] | int) -> NdarrayTensor/;" m class:RotateBox90 typeref:typename:NdarrayTensor +__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayTensor, src_spatial_size: Sequence[int] | int | None = None/;" m class:ZoomBox typeref:typename:NdarrayTensor +__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes_mask: NdarrayOrTensor) -> tuple[NdarrayOrTensor, NdarrayOrTensor]:$/;" m class:MaskToBox typeref:typename:tuple[NdarrayOrTensor,NdarrayOrTensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:AffineBoxToImageCoordinated typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:AffineBoxToWorldCoordinated typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:BoxToMaskd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ClipBoxToImaged typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ConvertBoxModed typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ConvertBoxToStandardModed typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:MaskToBoxd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:StandardizeEmptyBoxd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> Mapping[Hashable, torch.Tensor]/;" m class:RandRotateBox90d typeref:typename:Mapping[Hashable,torch.Tensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> Mapping[Hashable, torch.Tensor]/;" m class:RotateBox90d typeref:typename:Mapping[Hashable,torch.Tensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:FlipBoxd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:RandFlipBoxd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:RandZoomBoxd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:ZoomBoxd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> list[dict[Hashable, torch.Tenso/;" m class:RandCropBoxByPosNegLabeld typeref:typename:list[dict[Hashable,torch.Tensor]] +__call__ monai/apps/detection/utils/ATSS_matcher.py /^ def __call__($/;" m class:Matcher typeref:typename:tuple[torch.Tensor,torch.Tensor] +__call__ monai/apps/detection/utils/hard_negative_sampler.py /^ def __call__(self, target_labels: list[Tensor], concat_fg_probs: Tensor) -> tuple[list[Tenso/;" m class:HardNegativeSampler typeref:typename:tuple[list[Tensor],list[Tensor]] +__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:AddClickSignalsd +__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:AddLabelAsGuidanced +__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:AddPointGuidanceSignald +__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:ExtractPatchd +__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:FilterImaged +__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:FlattenLabeld +__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:PostFilterLabeld +__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:SetLabelClassd +__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:SplitLabeld +__call__ monai/apps/pathology/engines/utils.py /^ def __call__($/;" m class:PrepareBatchHoVerNet typeref:typename:tuple[torch.Tensor,dict[HoVerNetBranch,torch.Tensor]] +__call__ monai/apps/pathology/inferers/inferer.py /^ def __call__($/;" m class:SlidingWindowHoVerNetInferer typeref:typename:torch.Tensor|tuple[torch.Tensor,...]|dict[Any,torch.Tensor] +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__( # type: ignore$/;" m class:GenerateInstanceType typeref:typename:tuple[int,float] +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__( # type: ignore$/;" m class:HoVerNetInstanceMapPostProcessing typeref:typename:tuple[dict,NdarrayOrTensor] +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__( # type: ignore$/;" m class:HoVerNetNuclearTypePostProcessing typeref:typename:tuple[dict,NdarrayOrTensor|None] +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__($/;" m class:Watershed typeref:typename:NdarrayOrTensor +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, contours: list[np.ndarray]) -> np.ndarray:$/;" m class:GenerateSuccinctContour typeref:typename:np.ndarray +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, inst_mask: NdarrayOrTensor, offset: Sequence[int] | None = (0, 0)) -> np./;" m class:GenerateInstanceContour typeref:typename:np.ndarray|None +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, inst_mask: NdarrayOrTensor, offset: Sequence[int] | int = 0) -> NdarrayOr/;" m class:GenerateInstanceCentroid typeref:typename:NdarrayOrTensor +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, mask: NdarrayOrTensor, hover_map: NdarrayOrTensor) -> NdarrayOrTensor: #/;" m class:GenerateInstanceBorder typeref:typename:NdarrayOrTensor +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, mask: NdarrayOrTensor, instance_border: NdarrayOrTensor) -> NdarrayOrTens/;" m class:GenerateDistanceMap typeref:typename:NdarrayOrTensor +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, mask: NdarrayOrTensor, instance_border: NdarrayOrTensor) -> NdarrayOrTens/;" m class:GenerateWatershedMarkers typeref:typename:NdarrayOrTensor +__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, prob_map: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:GenerateWatershedMask typeref:typename:NdarrayOrTensor +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:GenerateInstanceCentroidd +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:GenerateInstanceContourd +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:GenerateInstanceTyped +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:GenerateSuccinctContourd +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:HoVerNetInstanceMapPostProcessingd +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:HoVerNetNuclearTypePostProcessingd +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GenerateDistanceMapd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GenerateInstanceBorderd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GenerateWatershedMarkersd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GenerateWatershedMaskd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:Watershedd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/pathology/transforms/stain/array.py /^ def __call__(self, image: np.ndarray) -> np.ndarray:$/;" m class:ExtractHEStains typeref:typename:np.ndarray +__call__ monai/apps/pathology/transforms/stain/array.py /^ def __call__(self, image: np.ndarray) -> np.ndarray:$/;" m class:NormalizeHEStains typeref:typename:np.ndarray +__call__ monai/apps/pathology/transforms/stain/dictionary.py /^ def __call__(self, data: Mapping[Hashable, np.ndarray]) -> dict[Hashable, np.ndarray]:$/;" m class:ExtractHEStainsd typeref:typename:dict[Hashable,np.ndarray] +__call__ monai/apps/pathology/transforms/stain/dictionary.py /^ def __call__(self, data: Mapping[Hashable, np.ndarray]) -> dict[Hashable, np.ndarray]:$/;" m class:NormalizeHEStainsd typeref:typename:dict[Hashable,np.ndarray] +__call__ monai/apps/pathology/utils.py /^ def __call__(self, probs_map: np.ndarray | torch.Tensor, resolution_level: int = 0) -> list[/;" m class:PathologyProbNMS typeref:typename:list[list] +__call__ monai/apps/reconstruction/transforms/array.py /^ def __call__(self, kspace: NdarrayOrTensor) -> Sequence[Tensor]:$/;" m class:EquispacedKspaceMask typeref:typename:Sequence[Tensor] +__call__ monai/apps/reconstruction/transforms/array.py /^ def __call__(self, kspace: NdarrayOrTensor) -> Sequence[Tensor]:$/;" m class:KspaceMask typeref:typename:Sequence[Tensor] +__call__ monai/apps/reconstruction/transforms/array.py /^ def __call__(self, kspace: NdarrayOrTensor) -> Sequence[Tensor]:$/;" m class:RandomKspaceMask typeref:typename:Sequence[Tensor] +__call__ monai/apps/reconstruction/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ReferenceBasedNormalizeIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/apps/reconstruction/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, Tensor]:$/;" m class:ExtractDataKeyFromMetaKeyd typeref:typename:dict[Hashable,Tensor] +__call__ monai/apps/reconstruction/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, Tensor]:$/;" m class:RandomKspaceMaskd typeref:typename:dict[Hashable,Tensor] +__call__ monai/apps/reconstruction/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, Tensor]) -> dict[Hashable, Tensor]:$/;" m class:ReferenceBasedSpatialCropd typeref:typename:dict[Hashable,Tensor] +__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data):$/;" m class:FilenameStats +__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data):$/;" m class:ImageStats +__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: Any) -> dict:$/;" m class:Analyzer typeref:typename:dict +__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: Mapping) -> dict:$/;" m class:FgImageStats typeref:typename:dict +__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: Mapping[Hashable, MetaTensor]) -> dict[Hashable, MetaTensor | dict]/;" m class:LabelStats typeref:typename:dict[Hashable,MetaTensor|dict] +__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: dict) -> dict:$/;" m class:ImageHistogram typeref:typename:dict +__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: list[dict]) -> dict:$/;" m class:FgImageStatsSumm typeref:typename:dict +__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: list[dict]) -> dict:$/;" m class:ImageHistogramSumm typeref:typename:dict +__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: list[dict]) -> dict:$/;" m class:ImageStatsSumm typeref:typename:dict +__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: list[dict]) -> dict:$/;" m class:LabelStatsSumm typeref:typename:dict +__call__ monai/data/grid_dataset.py /^ def __call__($/;" m class:PatchIterd typeref:typename:Generator[tuple[Mapping[Hashable,NdarrayTensor],np.ndarray],None,None] +__call__ monai/data/grid_dataset.py /^ def __call__(self, array: NdarrayTensor) -> Generator[tuple[NdarrayTensor, np.ndarray], None/;" m class:PatchIter typeref:typename:Generator[tuple[NdarrayTensor,np.ndarray],None,None] +__call__ monai/data/test_time_augmentation.py /^ def __call__($/;" m class:TestTimeAugmentation typeref:typename:tuple[NdarrayOrTensor,NdarrayOrTensor,NdarrayOrTensor,float]|NdarrayOrTensor +__call__ monai/data/ultrasound_confidence_map.py /^ def __call__(self, data: NDArray, sink_mask: NDArray | None = None) -> NDArray:$/;" m class:UltrasoundConfidenceMap typeref:typename:NDArray +__call__ monai/engines/utils.py /^ def __call__($/;" m class:PrepareBatch typeref:typename:Any +__call__ monai/engines/utils.py /^ def __call__($/;" m class:PrepareBatchDefault typeref:typename:tuple[torch.Tensor,torch.Tensor|None]|torch.Tensor +__call__ monai/engines/utils.py /^ def __call__($/;" m class:PrepareBatchExtraInput typeref:typename:tuple[torch.Tensor,torch.Tensor,tuple,dict] +__call__ monai/fl/utils/filters.py /^ def __call__(self, data: ExchangeObject, extra: dict | None = None) -> ExchangeObject:$/;" m class:Filter typeref:typename:ExchangeObject +__call__ monai/fl/utils/filters.py /^ def __call__(self, data: ExchangeObject, extra: dict | None = None) -> ExchangeObject:$/;" m class:SummaryFilter typeref:typename:ExchangeObject +__call__ monai/handlers/checkpoint_loader.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:CheckpointLoader typeref:typename:None +__call__ monai/handlers/checkpoint_saver.py /^ def __call__(self, checkpoint: Mapping, filename: str, metadata: Mapping | None = No/;" m class:CheckpointSaver.__init__._DiskSaver typeref:typename:None +__call__ monai/handlers/classification_saver.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:ClassificationSaver typeref:typename:None +__call__ monai/handlers/decollate_batch.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:DecollateBatch typeref:typename:None +__call__ monai/handlers/earlystop_handler.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:EarlyStopHandler typeref:typename:None +__call__ monai/handlers/garbage_collector.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:GarbageCollector typeref:typename:None +__call__ monai/handlers/lr_schedule_handler.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:LrScheduleHandler typeref:typename:None +__call__ monai/handlers/metric_logger.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:MetricLogger typeref:typename:None +__call__ monai/handlers/metrics_saver.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:MetricsSaver typeref:typename:None +__call__ monai/handlers/parameter_scheduler.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:ParamSchedulerHandler typeref:typename:None +__call__ monai/handlers/postprocessing.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:PostProcessing typeref:typename:None +__call__ monai/handlers/probability_maps.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:ProbMapProducer typeref:typename:None +__call__ monai/handlers/tensorboard_handlers.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:TensorBoardImageHandler typeref:typename:None +__call__ monai/handlers/validation_handler.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:ValidationHandler typeref:typename:None +__call__ monai/inferers/inferer.py /^ def __call__($/;" m class:PatchInferer typeref:typename:Any +__call__ monai/inferers/inferer.py /^ def __call__($/;" m class:SimpleInferer typeref:typename:torch.Tensor +__call__ monai/inferers/inferer.py /^ def __call__($/;" m class:SliceInferer typeref:typename:torch.Tensor|tuple[torch.Tensor,...]|dict[Any,torch.Tensor] +__call__ monai/inferers/inferer.py /^ def __call__($/;" m class:SlidingWindowInferer typeref:typename:torch.Tensor|tuple[torch.Tensor,...]|dict[Any,torch.Tensor] +__call__ monai/inferers/inferer.py /^ def __call__($/;" m class:SlidingWindowInfererAdapt typeref:typename:torch.Tensor|tuple[torch.Tensor,...]|dict[Any,torch.Tensor] +__call__ monai/inferers/inferer.py /^ def __call__(self, inputs: torch.Tensor, network: Callable, *args: Any, **kwargs: Any) -> An/;" m class:Inferer typeref:typename:Any +__call__ monai/inferers/inferer.py /^ def __call__(self, inputs: torch.Tensor, network: nn.Module, *args: Any, **kwargs: Any): # /;" m class:SaliencyInferer +__call__ monai/inferers/splitter.py /^ def __call__(self, inputs: Any) -> Iterable[tuple[torch.Tensor, Sequence[int]]]:$/;" m class:SlidingWindowSplitter typeref:typename:Iterable[tuple[torch.Tensor,Sequence[int]]] +__call__ monai/inferers/splitter.py /^ def __call__(self, inputs: Any) -> Iterable[tuple[torch.Tensor, Sequence[int]]]:$/;" m class:Splitter typeref:typename:Iterable[tuple[torch.Tensor,Sequence[int]]] +__call__ monai/inferers/splitter.py /^ def __call__(self, inputs: PathLike | Sequence[PathLike]) -> Iterable[tuple[torch.Tensor, Se/;" m class:WSISlidingWindowSplitter typeref:typename:Iterable[tuple[torch.Tensor,Sequence[int]]] +__call__ monai/metrics/active_learning_metrics.py /^ def __call__(self, y_pred: Any) -> Any:$/;" m class:VarianceMetric typeref:typename:Any +__call__ monai/metrics/active_learning_metrics.py /^ def __call__(self, y_pred: Any, y: Any) -> torch.Tensor | None:$/;" m class:LabelQualityScore typeref:typename:torch.Tensor|None +__call__ monai/metrics/fid.py /^ def __call__(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor:$/;" m class:FIDMetric typeref:typename:torch.Tensor +__call__ monai/metrics/meandice.py /^ def __call__(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor | tuple[torch.Tens/;" m class:DiceHelper typeref:typename:torch.Tensor|tuple[torch.Tensor,torch.Tensor] +__call__ monai/metrics/metric.py /^ def __call__($/;" m class:CumulativeIterationMetric typeref:typename:torch.Tensor|Sequence[torch.Tensor|Sequence[torch.Tensor]] +__call__ monai/metrics/metric.py /^ def __call__($/;" m class:IterationMetric typeref:typename:torch.Tensor|Sequence[torch.Tensor|Sequence[torch.Tensor]] +__call__ monai/metrics/metric.py /^ def __call__(self, *args: Any, **kwargs: Any) -> Any:$/;" m class:Metric typeref:typename:Any +__call__ monai/metrics/mmd.py /^ def __call__(self, y: torch.Tensor, y_pred: torch.Tensor) -> torch.Tensor:$/;" m class:MMDMetric typeref:typename:torch.Tensor +__call__ monai/transforms/compose.py /^ def __call__(self, data, start=0, end=None, threading=False, lazy: bool | None = None):$/;" m class:OneOf +__call__ monai/transforms/compose.py /^ def __call__(self, data, start=0, end=None, threading=False, lazy: bool | None = None):$/;" m class:SomeOf +__call__ monai/transforms/compose.py /^ def __call__(self, input_, start=0, end=None, threading=False, lazy: bool | None = None):$/;" m class:Compose +__call__ monai/transforms/compose.py /^ def __call__(self, input_, start=0, end=None, threading=False, lazy: bool | None = None):$/;" m class:RandomOrder +__call__ monai/transforms/croppad/array.py /^ def __call__( # type: ignore[override]$/;" m class:Crop typeref:typename:torch.Tensor +__call__ monai/transforms/croppad/array.py /^ def __call__( # type: ignore[override]$/;" m class:CropForeground typeref:typename:torch.Tensor +__call__ monai/transforms/croppad/array.py /^ def __call__( # type: ignore[override]$/;" m class:Pad typeref:typename:torch.Tensor +__call__ monai/transforms/croppad/array.py /^ def __call__( # type: ignore[override]$/;" m class:ResizeWithPadOrCrop typeref:typename:torch.Tensor +__call__ monai/transforms/croppad/array.py /^ def __call__($/;" m class:RandCropByLabelClasses typeref:typename:list[torch.Tensor] +__call__ monai/transforms/croppad/array.py /^ def __call__($/;" m class:RandCropByPosNegLabel typeref:typename:list[torch.Tensor] +__call__ monai/transforms/croppad/array.py /^ def __call__($/;" m class:RandWeightedCrop typeref:typename:list[torch.Tensor] +__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: NdarrayOrTensor) -> np.ndarray:$/;" m class:BoundingRect typeref:typename:np.ndarray +__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> list[torch.Tensor]:$/;" m class:RandSpatialCropSamples typeref:typename:list[torch.Tensor] +__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor: # type: ig/;" m class:CenterScaleCrop typeref:typename:torch.Tensor +__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor: # type: ig/;" m class:CenterSpatialCrop typeref:typename:torch.Tensor +__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor: # type: ig/;" m class:SpatialCrop typeref:typename:torch.Tensor +__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> t/;" m class:RandScaleCrop typeref:typename:torch.Tensor +__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> t/;" m class:RandSpatialCrop typeref:typename:torch.Tensor +__call__ monai/transforms/croppad/batch.py /^ def __call__(self, batch: Any):$/;" m class:PadListDataCollate +__call__ monai/transforms/croppad/dictionary.py /^ def __call__($/;" m class:RandCropByPosNegLabeld typeref:typename:list[dict[Hashable,torch.Tensor]] +__call__ monai/transforms/croppad/dictionary.py /^ def __call__($/;" m class:RandSpatialCropSamplesd typeref:typename:list[dict[Hashable,torch.Tensor]] +__call__ monai/transforms/croppad/dictionary.py /^ def __call__($/;" m class:RandWeightedCropd typeref:typename:list[dict[Hashable,torch.Tensor]] +__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, Any], lazy: bool | None = None) -> list[dict[Hash/;" m class:RandCropByLabelClassesd typeref:typename:list[dict[Hashable,torch.Tensor]] +__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:BoundingRectd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:CropForegroundd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Cropd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Padd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:RandCropd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/intensity/array.py /^ def __call__(self, image: NdarrayOrTensor):$/;" m class:ForegroundMask +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:GibbsNoise typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:KSpaceSpikeNoise typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:NormalizeIntensity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SavitzkyGolaySmooth typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ScaleIntensity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ScaleIntensityRange typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ScaleIntensityRangePercentiles typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:StdShiftIntensity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ThresholdIntensity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor):$/;" m class:DetectEnvelope +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, factor: float | None = None, randomize: bool = True/;" m class:RandShiftIntensity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, factor=None) -> NdarrayOrTensor:$/;" m class:ScaleIntensityFixedMean typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, gamma=None) -> NdarrayOrTensor:$/;" m class:AdjustContrast typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, mask: NdarrayOrTensor | None = None) -> NdarrayOrTe/;" m class:HistogramNormalize typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, mask: NdarrayOrTensor | None = None) -> NdarrayOrTe/;" m class:UltrasoundConfidenceMapTransform typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, mask_data: NdarrayOrTensor | None = None) -> Ndarra/;" m class:MaskIntensity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, mean: float | None = None, randomize: bool = True) /;" m class:RandGaussianNoise typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, offset: float | None = None) -> NdarrayOrTensor:$/;" m class:ShiftIntensity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandAdjustContrast typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandBiasField typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandCoarseTransform typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandGaussianSharpen typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandGaussianSmooth typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandHistogramShift typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandRicianNoise typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandScaleIntensity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandScaleIntensityFixedMean typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandStdShiftIntensity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True):$/;" m class:RandGibbsNoise +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True):$/;" m class:RandKSpaceSpikeNoise +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayTensor) -> NdarrayTensor:$/;" m class:GaussianSharpen typeref:typename:NdarrayTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayTensor) -> NdarrayTensor:$/;" m class:GaussianSmooth typeref:typename:NdarrayTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayTensor) -> NdarrayTensor:$/;" m class:MedianSmooth typeref:typename:NdarrayTensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: torch.Tensor) -> torch.Tensor:$/;" m class:IntensityRemap typeref:typename:torch.Tensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: torch.Tensor) -> torch.Tensor:$/;" m class:RandIntensityRemap typeref:typename:torch.Tensor +__call__ monai/transforms/intensity/array.py /^ def __call__(self, mask: NdarrayOrTensor):$/;" m class:ComputeHoVerMaps +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data) -> dict[Hashable, NdarrayOrTensor]:$/;" m class:RandShiftIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data) -> dict[Hashable, NdarrayOrTensor]:$/;" m class:ShiftIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:AdjustContrastd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ComputeHoVerMapsd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ForegroundMaskd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GaussianSharpend typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GaussianSmoothd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GibbsNoised typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:HistogramNormalized typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:KSpaceSpikeNoised typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:MaskIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:MedianSmoothd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:NormalizeIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandAdjustContrastd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandBiasFieldd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandCoarseDropoutd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandCoarseShuffled typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandGaussianNoised typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandGaussianSmoothd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandRicianNoised typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandScaleIntensityFixedMeand typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandScaleIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandStdShiftIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:SavitzkyGolaySmoothd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ScaleIntensityRangePercentilesd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ScaleIntensityRanged typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ScaleIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:StdShiftIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ThresholdIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: dict[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTensor]/;" m class:RandGaussianSharpend typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: dict[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTensor]/;" m class:RandGibbsNoised typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: dict[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTensor]/;" m class:RandHistogramShiftd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: dict[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTensor]/;" m class:RandKSpaceSpikeNoised typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/inverse_batch_transform.py /^ def __call__(self, data: dict | list):$/;" m class:Decollated +__call__ monai/transforms/inverse_batch_transform.py /^ def __call__(self, data: dict[str, Any]) -> Any:$/;" m class:BatchInverseTransform typeref:typename:Any +__call__ monai/transforms/io/array.py /^ def __call__($/;" m class:SaveImage +__call__ monai/transforms/io/array.py /^ def __call__(self, filename: Sequence[PathLike] | PathLike, reader: ImageReader | None = Non/;" m class:LoadImage +__call__ monai/transforms/io/dictionary.py /^ def __call__(self, data):$/;" m class:SaveImaged +__call__ monai/transforms/io/dictionary.py /^ def __call__(self, data, reader: ImageReader | None = None):$/;" m class:LoadImaged +__call__ monai/transforms/lazy/array.py /^ def __call__(self, data):$/;" m class:ApplyPending +__call__ monai/transforms/lazy/dictionary.py /^ def __call__(self, data):$/;" m class:ApplyPendingd +__call__ monai/transforms/meta_utility/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:FromMetaTensord typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/meta_utility/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ToMetaTensord typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/nvtx.py /^ def __call__(self, data):$/;" m class:Mark +__call__ monai/transforms/nvtx.py /^ def __call__(self, data):$/;" m class:RangePop +__call__ monai/transforms/nvtx.py /^ def __call__(self, data):$/;" m class:RangePush +__call__ monai/transforms/post/array.py /^ def __call__($/;" m class:Activations typeref:typename:NdarrayOrTensor +__call__ monai/transforms/post/array.py /^ def __call__($/;" m class:AsDiscrete typeref:typename:NdarrayOrTensor +__call__ monai/transforms/post/array.py /^ def __call__(self, data):$/;" m class:Invert +__call__ monai/transforms/post/array.py /^ def __call__(self, image: NdarrayOrTensor) -> torch.Tensor:$/;" m class:SobelGradients typeref:typename:torch.Tensor +__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:DistanceTransformEDT typeref:typename:NdarrayOrTensor +__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:FillHoles typeref:typename:NdarrayOrTensor +__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:KeepLargestConnectedComponent typeref:typename:NdarrayOrTensor +__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:LabelFilter typeref:typename:NdarrayOrTensor +__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:LabelToContour typeref:typename:NdarrayOrTensor +__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:RemoveSmallObjects typeref:typename:NdarrayOrTensor +__call__ monai/transforms/post/array.py /^ def __call__(self, img: Sequence[NdarrayOrTensor] | NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:MeanEnsemble typeref:typename:NdarrayOrTensor +__call__ monai/transforms/post/array.py /^ def __call__(self, img: Sequence[NdarrayOrTensor] | NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:VoteEnsemble typeref:typename:NdarrayOrTensor +__call__ monai/transforms/post/array.py /^ def __call__(self, prob_map: NdarrayOrTensor):$/;" m class:ProbNMS +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:SaveClassificationd +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, Any]) -> dict[Hashable, Any]:$/;" m class:Invertd typeref:typename:dict[Hashable,Any] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrT/;" m class:DistanceTransformEDTd typeref:typename:Mapping[Hashable,NdarrayOrTensor] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:Activationsd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:AsDiscreted typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:Ensembled typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:FillHolesd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:KeepLargestConnectedComponentd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:LabelFilterd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:LabelToContourd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RemoveSmallObjectsd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:SobelGradientsd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]):$/;" m class:ProbNMSd +__call__ monai/transforms/regularization/array.py /^ def __call__(self, data: torch.Tensor):$/;" m class:CutOut +__call__ monai/transforms/regularization/array.py /^ def __call__(self, data: torch.Tensor, labels: torch.Tensor | None = None):$/;" m class:CutMix +__call__ monai/transforms/regularization/array.py /^ def __call__(self, data: torch.Tensor, labels: torch.Tensor | None = None):$/;" m class:MixUp +__call__ monai/transforms/regularization/dictionary.py /^ def __call__(self, data):$/;" m class:CutMixd +__call__ monai/transforms/regularization/dictionary.py /^ def __call__(self, data):$/;" m class:CutOutd +__call__ monai/transforms/regularization/dictionary.py /^ def __call__(self, data):$/;" m class:MixUpd +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalFillEmpty typeref:typename:NdarrayOrTensor +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandAddGaussianNoise typeref:typename:NdarrayOrTensor +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandAddSine typeref:typename:NdarrayOrTensor +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandAddSinePartial typeref:typename:NdarrayOrTensor +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandAddSquarePulse typeref:typename:NdarrayOrTensor +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandAddSquarePulsePartial typeref:typename:NdarrayOrTensor +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandDrop typeref:typename:NdarrayOrTensor +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandScale typeref:typename:NdarrayOrTensor +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandShift typeref:typename:NdarrayOrTensor +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: np.ndarray) -> Any:$/;" m class:SignalContinuousWavelet typeref:typename:Any +__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: np.ndarray) -> Any:$/;" m class:SignalRemoveFrequency typeref:typename:Any +__call__ monai/transforms/signal/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrT/;" m class:SignalFillEmptyd typeref:typename:Mapping[Hashable,NdarrayOrTensor] +__call__ monai/transforms/smooth_field/array.py /^ def __call__($/;" m class:RandSmoothDeform typeref:typename:NdarrayOrTensor +__call__ monai/transforms/smooth_field/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandSmoothFieldAdjustContrast typeref:typename:NdarrayOrTensor +__call__ monai/transforms/smooth_field/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandSmoothFieldAdjustIntensity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/smooth_field/array.py /^ def __call__(self, randomize=False) -> torch.Tensor:$/;" m class:SmoothField typeref:typename:torch.Tensor +__call__ monai/transforms/smooth_field/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrT/;" m class:RandSmoothDeformd typeref:typename:Mapping[Hashable,NdarrayOrTensor] +__call__ monai/transforms/smooth_field/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrT/;" m class:RandSmoothFieldAdjustContrastd typeref:typename:Mapping[Hashable,NdarrayOrTensor] +__call__ monai/transforms/smooth_field/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrT/;" m class:RandSmoothFieldAdjustIntensityd typeref:typename:Mapping[Hashable,NdarrayOrTensor] +__call__ monai/transforms/spatial/array.py /^ def __call__( # type: ignore$/;" m class:ResampleToMatch typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Affine typeref:typename:torch.Tensor|tuple[torch.Tensor,NdarrayOrTensor] +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:AffineGrid typeref:typename:tuple[torch.Tensor|None,torch.Tensor] +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:GridDistortion typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:GridSplit typeref:typename:list[NdarrayOrTensor] +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Rand2DElastic typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Rand3DElastic typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:RandAffine typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:RandAffineGrid typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:RandGridDistortion typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:RandRotate +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:RandZoom typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Resample typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Resize typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Rotate typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Spacing typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:SpatialResample typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Zoom typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__(self, array: NdarrayOrTensor) -> MetaTensor:$/;" m class:GridPatch typeref:typename:MetaTensor +__call__ monai/transforms/spatial/array.py /^ def __call__(self, array: NdarrayOrTensor, randomize: bool = True):$/;" m class:RandGridPatch +__call__ monai/transforms/spatial/array.py /^ def __call__(self, data_array: torch.Tensor, lazy: bool | None = None) -> torch.Tensor:$/;" m class:Orientation typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor:$/;" m class:Flip typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor:$/;" m class:Rotate90 typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True) -> torch.Tensor:$/;" m class:RandSimulateLowResolution typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> t/;" m class:RandAxisFlip typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> t/;" m class:RandFlip typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> t/;" m class:RandRotate90 typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/array.py /^ def __call__(self, spatial_size: Sequence[int]) -> torch.Tensor:$/;" m class:RandDeformGrid typeref:typename:torch.Tensor +__call__ monai/transforms/spatial/dictionary.py /^ def __call__($/;" m class:RandAffined typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__($/;" m class:RandRotate90d typeref:typename:Mapping[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GridPatchd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:Rand2DElasticd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandGridPatchd typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandSimulateLowResolutiond typeref:typename:dict[Hashable,NdarrayOrTensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> list[dict[Hashable, NdarrayO/;" m class:GridSplitd typeref:typename:list[dict[Hashable,NdarrayOrTensor]] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:GridDistortiond typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:Rand3DElasticd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:RandGridDistortiond typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Affined typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Flipd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Orientationd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:RandAxisFlipd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:RandFlipd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:RandRotated typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:RandZoomd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:ResampleToMatchd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Resized typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Rotate90d typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Rotated typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Spacingd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:SpatialResampled typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Zoomd typeref:typename:dict[Hashable,torch.Tensor] +__call__ monai/transforms/transform.py /^ def __call__(self, data):$/;" m class:MapTransform +__call__ monai/transforms/transform.py /^ def __call__(self, data: Any):$/;" m class:Transform +__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:AddExtremePointsChannel typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:ClassesToIndices typeref:typename:list[NdarrayOrTensor] +__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:DataStats typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:FgBgToIndices typeref:typename:tuple[NdarrayOrTensor,NdarrayOrTensor] +__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:ImageFilter typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:IntensityStats typeref:typename:tuple[NdarrayOrTensor,dict] +__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:LabelToMask typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, data):$/;" m class:CuCIM +__call__ monai/transforms/utility/array.py /^ def __call__(self, data: Any) -> Any:$/;" m class:RandIdentity typeref:typename:Any +__call__ monai/transforms/utility/array.py /^ def __call__(self, data: NdarrayOrTensor):$/;" m class:ToCupy +__call__ monai/transforms/utility/array.py /^ def __call__(self, data: NdarrayOrTensor, dtype: DtypeLike | torch.dtype = None):$/;" m class:EnsureType +__call__ monai/transforms/utility/array.py /^ def __call__(self, img):$/;" m class:ToPIL +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:AddCoordinateChannels typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:AsChannelLast typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ConvertToMultiChannelBasedOnBratsClasses typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:Identity typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:RemoveRepeatedChannel typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:RepeatChannel typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SqueezeDim typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:Transpose typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor):$/;" m class:MapLabelValue +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor):$/;" m class:ToNumpy +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor):$/;" m class:ToTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor):$/;" m class:TorchVision +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor, delay_time: float | None = None) -> NdarrayOrTensor/;" m class:SimulateDelay typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor, dtype: DtypeLike | torch.dtype = None) -> NdarrayOr/;" m class:CastToType typeref:typename:NdarrayOrTensor +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor, func: Callable | None = None):$/;" m class:Lambda +__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor, 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+__getattr__ docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +__getattr__ monai/bundle/config_parser.py /^ def __getattr__(self, id):$/;" m class:ConfigParser +__getattr__ monai/bundle/workflows.py /^ def __getattr__(self, name):$/;" m class:BundleWorkflow +__getattr__ monai/networks/layers/factories.py /^ def __getattr__(self, key):$/;" m class:LayerFactory +__getattr__ monai/utils/component_store.py /^ def __getattr__(self, name: str) -> Any:$/;" m class:ComponentStore typeref:typename:Any +__getattr__ monai/utils/module.py /^ def __getattr__(self, name):$/;" m class:optional_import._LazyRaise +__getattr__() (monai.bundle.configparser method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__getitem__ 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int):$/;" m class:_BatchInverseDataset +__getitem__ monai/utils/component_store.py /^ def __getitem__(self, name: str) -> Any:$/;" m class:ComponentStore typeref:typename:Any +__getitem__ monai/utils/module.py /^ def __getitem__(self, item):$/;" m class:optional_import._LazyRaise +__getitem__ tests/test_dataloader.py /^ def __getitem__(self, index):$/;" m class:_RandomDataset +__getitem__ tests/test_ensemble_evaluator.py /^ def __getitem__(self, index):$/;" m class:TestEnsembleEvaluator.test_content.TestDataset +__getitem__ tests/test_handler_prob_map_producer.py /^ def __getitem__(self, index):$/;" m class:TestDataset +__getitem__ tests/test_integration_classification_2d.py /^ def __getitem__(self, index):$/;" m class:MedNISTDataset +__getitem__ tests/test_integration_determinism.py /^ def __getitem__(self, _unused_id):$/;" m class:run_test._TestBatch +__getitem__ tests/test_integration_unet_2d.py /^ def __getitem__(self, _unused_id):$/;" m class:run_test._TestBatch +__getitem__ tests/test_pad_collation.py /^ def __getitem__(self, index):$/;" m class:_Dataset +__getitem__ tests/test_zipdataset.py /^ def __getitem__(self, index):$/;" m class:Dataset_ +__getitem__() (monai.bundle.configparser method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__getitem__() (monai.data.dataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__getstate__ tests/utils.py /^ def __getstate__(self):$/;" m class:DistTestCase +__init__ docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +__init__ docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +__init__ monai/apps/auto3dseg/auto_runner.py /^ def __init__($/;" m class:AutoRunner +__init__ monai/apps/auto3dseg/bundle_gen.py /^ def __init__($/;" m class:BundleGen +__init__ monai/apps/auto3dseg/bundle_gen.py /^ def __init__(self, template_path: PathLike):$/;" m class:BundleAlgo +__init__ monai/apps/auto3dseg/data_analyzer.py /^ def __init__($/;" m class:DataAnalyzer +__init__ monai/apps/auto3dseg/ensemble_builder.py /^ def __init__($/;" m class:EnsembleRunner typeref:typename:None +__init__ monai/apps/auto3dseg/ensemble_builder.py /^ def __init__(self):$/;" m class:AlgoEnsemble +__init__ monai/apps/auto3dseg/ensemble_builder.py /^ def __init__(self, history: Sequence[dict[str, Any]], data_src_cfg_name: str | None = None):$/;" m class:AlgoEnsembleBuilder +__init__ monai/apps/auto3dseg/ensemble_builder.py /^ def __init__(self, n_best: int = 5):$/;" m class:AlgoEnsembleBestN +__init__ monai/apps/auto3dseg/ensemble_builder.py /^ def __init__(self, n_fold: int = 5):$/;" m class:AlgoEnsembleBestByFold +__init__ monai/apps/auto3dseg/hpo_gen.py /^ def __init__(self, algo: Algo | None = None, params: dict | None = None) -> None:$/;" m class:OptunaGen typeref:typename:None +__init__ monai/apps/auto3dseg/hpo_gen.py /^ def __init__(self, algo: Algo | None = None, params: dict | None = None):$/;" m class:NNIGen +__init__ monai/apps/auto3dseg/transforms.py /^ def __init__($/;" m class:EnsureSameShaped typeref:typename:None +__init__ monai/apps/datasets.py /^ def __init__($/;" m class:DecathlonDataset typeref:typename:None +__init__ monai/apps/datasets.py /^ def __init__($/;" m class:MedNISTDataset typeref:typename:None +__init__ monai/apps/datasets.py /^ def __init__($/;" m class:TciaDataset typeref:typename:None +__init__ monai/apps/datasets.py /^ def __init__(self, dataset_cls: object, nfolds: int = 5, seed: int = 0, **dataset_params: An/;" m class:CrossValidation typeref:typename:None +__init__ monai/apps/deepedit/interaction.py /^ def __init__($/;" m class:Interaction typeref:typename:None +__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:AddGuidanceFromPointsDeepEditd +__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:AddGuidanceSignalDeepEditd +__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:AddInitialSeedPointDeepEditd +__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:AddInitialSeedPointMissingLabelsd +__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:AddRandomGuidanceDeepEditd +__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:DiscardAddGuidanced +__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:FindDiscrepancyRegionsDeepEditd +__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:NormalizeLabelsInDatasetd +__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:SingleLabelSelectiond +__init__ monai/apps/deepedit/transforms.py /^ def __init__(self, guidance: str, ref_image: str) -> None:$/;" m class:ResizeGuidanceMultipleLabelDeepEditd typeref:typename:None +__init__ monai/apps/deepedit/transforms.py /^ def __init__(self, keys: KeysCollection, sids: Hashable = "sids", allow_missing_keys: bool =/;" m class:FindAllValidSlicesDeepEditd +__init__ monai/apps/deepedit/transforms.py /^ def __init__(self, keys: KeysCollection, sids: Hashable = "sids", allow_missing_keys: bool =/;" m class:FindAllValidSlicesMissingLabelsd +__init__ monai/apps/deepgrow/interaction.py /^ def __init__($/;" m class:Interaction typeref:typename:None +__init__ monai/apps/deepgrow/transforms.py /^ def __init__($/;" m class:AddGuidanceFromPointsd +__init__ monai/apps/deepgrow/transforms.py /^ def __init__($/;" m class:AddInitialSeedPointd +__init__ monai/apps/deepgrow/transforms.py /^ def __init__($/;" m class:Fetch2DSliced +__init__ monai/apps/deepgrow/transforms.py /^ def __init__($/;" m class:ResizeGuidanced typeref:typename:None +__init__ monai/apps/deepgrow/transforms.py /^ def __init__($/;" m class:RestoreLabeld typeref:typename:None +__init__ monai/apps/deepgrow/transforms.py /^ def __init__($/;" m class:SpatialCropForegroundd typeref:typename:None +__init__ monai/apps/deepgrow/transforms.py /^ def __init__($/;" m class:SpatialCropGuidanced typeref:typename:None +__init__ monai/apps/deepgrow/transforms.py /^ def __init__(self, guidance: str = "guidance", discrepancy: str = "discrepancy", probability/;" m class:AddRandomGuidanced +__init__ monai/apps/deepgrow/transforms.py /^ def __init__(self, image: str = "image", guidance: str = "guidance", sigma: int = 2, number_/;" m class:AddGuidanceSignald +__init__ monai/apps/deepgrow/transforms.py /^ def __init__(self, label: str = "label", pred: str = "pred", discrepancy: str = "discrepancy/;" m class:FindDiscrepancyRegionsd +__init__ monai/apps/deepgrow/transforms.py /^ def __init__(self, label: str = "label", sids: str = "sids"):$/;" m class:FindAllValidSlicesd +__init__ monai/apps/detection/metrics/coco.py /^ def __init__($/;" m class:COCOMetric +__init__ monai/apps/detection/networks/retinanet_detector.py /^ def __init__($/;" m class:RetinaNetDetector +__init__ monai/apps/detection/networks/retinanet_network.py /^ def __init__($/;" m class:RetinaNet +__init__ monai/apps/detection/networks/retinanet_network.py /^ def __init__($/;" m class:RetinaNetClassificationHead +__init__ monai/apps/detection/networks/retinanet_network.py /^ def __init__(self, in_channels: int, num_anchors: int, spatial_dims: int):$/;" m class:RetinaNetRegressionHead +__init__ monai/apps/detection/transforms/array.py /^ def __init__($/;" m class:ConvertBoxMode typeref:typename:None +__init__ monai/apps/detection/transforms/array.py /^ def __init__($/;" m class:MaskToBox typeref:typename:None +__init__ monai/apps/detection/transforms/array.py /^ def __init__($/;" m class:SpatialCropBox typeref:typename:None +__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, bg_label: int = -1, ellipse_mask: bool = False) -> None:$/;" m class:BoxToMask typeref:typename:None +__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, mode: str | BoxMode | type[BoxMode] | None = None) -> None:$/;" m class:ConvertBoxToStandardMode typeref:typename:None +__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, remove_empty: bool = False) -> None:$/;" m class:ClipBoxToImage typeref:typename:None +__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, spatial_axis: Sequence[int] | int | None = None) -> None:$/;" m class:FlipBox typeref:typename:None +__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, spatial_dims: int) -> None:$/;" m class:StandardizeEmptyBox typeref:typename:None +__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, spatial_size: Sequence[int] | int, size_mode: str = "all", **kwargs: Any)/;" m class:ResizeBox typeref:typename:None +__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, zoom: Sequence[float] | float, keep_size: bool = False, **kwargs: Any) ->/;" m class:ZoomBox typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:AffineBoxToImageCoordinated typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:AffineBoxToWorldCoordinated typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:BoxToMaskd typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:ClipBoxToImaged typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:ConvertBoxModed typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:ConvertBoxToStandardModed typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:FlipBoxd typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:MaskToBoxd typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:RandCropBoxByPosNegLabeld typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:RandFlipBoxd typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:RandRotateBox90d typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:RandZoomBoxd typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:RotateBox90d typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:ZoomBoxd typeref:typename:None +__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__(self, box_keys: KeysCollection, box_ref_image_keys: str, allow_missing_keys: bo/;" m class:StandardizeEmptyBoxd typeref:typename:None +__init__ monai/apps/detection/utils/ATSS_matcher.py /^ def __init__($/;" m class:ATSSMatcher +__init__ monai/apps/detection/utils/ATSS_matcher.py /^ def __init__(self, similarity_fn: Callable[[Tensor, Tensor], Tensor] = box_iou): # type: ig/;" m class:Matcher +__init__ monai/apps/detection/utils/anchor_utils.py /^ def __init__($/;" m class:AnchorGenerator typeref:typename:None +__init__ monai/apps/detection/utils/anchor_utils.py /^ def __init__($/;" m class:AnchorGeneratorWithAnchorShape typeref:typename:None +__init__ monai/apps/detection/utils/box_coder.py /^ def __init__(self, weights: Sequence[float], boxes_xform_clip: float | None = None) -> None:$/;" m class:BoxCoder typeref:typename:None +__init__ monai/apps/detection/utils/box_selector.py /^ def __init__($/;" m class:BoxSelector +__init__ monai/apps/detection/utils/hard_negative_sampler.py /^ def __init__($/;" m class:HardNegativeSampler typeref:typename:None +__init__ monai/apps/detection/utils/hard_negative_sampler.py /^ def __init__(self, pool_size: float = 10) -> None:$/;" m class:HardNegativeSamplerBase typeref:typename:None +__init__ monai/apps/nnunet/nnunetv2_runner.py /^ def __init__($/;" m class:nnUNetV2Runner typeref:typename:None +__init__ monai/apps/nuclick/transforms.py /^ def __init__($/;" m class:AddClickSignalsd +__init__ monai/apps/nuclick/transforms.py /^ def __init__($/;" m class:AddPointGuidanceSignald +__init__ monai/apps/nuclick/transforms.py /^ def __init__($/;" m class:ExtractPatchd +__init__ monai/apps/nuclick/transforms.py /^ def __init__($/;" m class:PostFilterLabeld +__init__ monai/apps/nuclick/transforms.py /^ def __init__($/;" m class:SplitLabeld +__init__ monai/apps/nuclick/transforms.py /^ def __init__(self, keys: KeysCollection, connectivity: int = 1, allow_missing_keys: bool = F/;" m class:FlattenLabeld +__init__ monai/apps/nuclick/transforms.py /^ def __init__(self, keys: KeysCollection, min_size: int = 500, allow_missing_keys: bool = Fal/;" m class:FilterImaged +__init__ monai/apps/nuclick/transforms.py /^ def __init__(self, keys: KeysCollection, offset: int = -1) -> None:$/;" m class:SetLabelClassd typeref:typename:None +__init__ monai/apps/nuclick/transforms.py /^ def __init__(self, keys: KeysCollection, source: str = "label") -> None:$/;" m class:AddLabelAsGuidanced typeref:typename:None +__init__ monai/apps/pathology/engines/utils.py /^ def __init__(self, extra_keys: Sequence[str]) -> None:$/;" m class:PrepareBatchHoVerNet typeref:typename:None +__init__ monai/apps/pathology/inferers/inferer.py /^ def __init__($/;" m class:SlidingWindowHoVerNetInferer typeref:typename:None +__init__ monai/apps/pathology/losses/hovernet_loss.py /^ def __init__($/;" m class:HoVerNetLoss typeref:typename:None +__init__ monai/apps/pathology/metrics/lesion_froc.py /^ def __init__($/;" m class:LesionFROC typeref:typename:None +__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__($/;" m class:GenerateWatershedMarkers typeref:typename:None +__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__($/;" m class:GenerateWatershedMask typeref:typename:None +__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__($/;" m class:HoVerNetInstanceMapPostProcessing typeref:typename:None +__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__($/;" m class:HoVerNetNuclearTypePostProcessing typeref:typename:None +__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, connectivity: int | None = 1, dtype: DtypeLike = np.int64) -> None:$/;" m class:Watershed typeref:typename:None +__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, dtype: DtypeLike | None = int) -> None:$/;" m class:GenerateInstanceCentroid typeref:typename:None +__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, height: int, width: int) -> None:$/;" m class:GenerateSuccinctContour typeref:typename:None +__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, kernel_size: int = 5, dtype: DtypeLike = np.float32) -> None:$/;" m class:GenerateInstanceBorder typeref:typename:None +__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, min_num_points: int = 3, contour_level: float | None = None) -> None:$/;" m class:GenerateInstanceContour typeref:typename:None +__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, smooth_fn: Callable | None = None, dtype: DtypeLike = np.float32) -> None/;" m class:GenerateDistanceMap typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateDistanceMapd typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateInstanceBorderd typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateInstanceCentroidd typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateInstanceContourd typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateInstanceTyped typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateWatershedMarkersd typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateWatershedMaskd typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:HoVerNetInstanceMapPostProcessingd typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:HoVerNetNuclearTypePostProcessingd typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:Watershedd typeref:typename:None +__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__(self, keys: KeysCollection, height: int, width: int, allow_missing_keys: bool =/;" m class:GenerateSuccinctContourd typeref:typename:None +__init__ monai/apps/pathology/transforms/stain/array.py /^ def __init__($/;" m class:ExtractHEStains typeref:typename:None +__init__ monai/apps/pathology/transforms/stain/array.py /^ def __init__($/;" m class:NormalizeHEStains typeref:typename:None +__init__ monai/apps/pathology/transforms/stain/dictionary.py /^ def __init__($/;" m class:ExtractHEStainsd typeref:typename:None +__init__ monai/apps/pathology/transforms/stain/dictionary.py /^ def __init__($/;" m class:NormalizeHEStainsd typeref:typename:None +__init__ monai/apps/reconstruction/networks/blocks/varnetblock.py /^ def __init__(self, refinement_model: nn.Module, spatial_dims: int = 2):$/;" m class:VarNetBlock +__init__ monai/apps/reconstruction/networks/nets/coil_sensitivity_model.py /^ def __init__($/;" m class:CoilSensitivityModel +__init__ monai/apps/reconstruction/networks/nets/complex_unet.py /^ def __init__($/;" m class:ComplexUnet +__init__ monai/apps/reconstruction/networks/nets/varnet.py /^ def __init__($/;" m class:VariationalNetworkModel +__init__ monai/apps/reconstruction/transforms/array.py /^ def __init__($/;" m class:KspaceMask +__init__ monai/apps/reconstruction/transforms/dictionary.py /^ def __init__($/;" m class:EquispacedKspaceMaskd typeref:typename:None +__init__ monai/apps/reconstruction/transforms/dictionary.py /^ def __init__($/;" m class:RandomKspaceMaskd typeref:typename:None +__init__ monai/apps/reconstruction/transforms/dictionary.py /^ def __init__($/;" m class:ReferenceBasedNormalizeIntensityd typeref:typename:None +__init__ monai/apps/reconstruction/transforms/dictionary.py /^ def __init__(self, keys: KeysCollection, meta_key: str, allow_missing_keys: bool = False) ->/;" m class:ExtractDataKeyFromMetaKeyd typeref:typename:None +__init__ monai/apps/reconstruction/transforms/dictionary.py /^ def __init__(self, keys: KeysCollection, ref_key: str, allow_missing_keys: bool = False) -> /;" m class:ReferenceBasedSpatialCropd typeref:typename:None +__init__ monai/auto3dseg/analyzer.py /^ def __init__($/;" m class:ImageHistogram +__init__ monai/auto3dseg/analyzer.py /^ def __init__($/;" m class:LabelStats +__init__ monai/auto3dseg/analyzer.py /^ def __init__($/;" m class:LabelStatsSumm +__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, image_key: str, label_key: str, stats_name: str = DataStatsKeys.FG_IMAGE_/;" m class:FgImageStats +__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, image_key: str, stats_name: str = DataStatsKeys.IMAGE_STATS) -> None:$/;" m class:ImageStats typeref:typename:None +__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, key: str | None, stats_name: str) -> None:$/;" m class:FilenameStats typeref:typename:None +__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, stats_name: str = DataStatsKeys.FG_IMAGE_STATS, average: bool | None = Tr/;" m class:FgImageStatsSumm +__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, stats_name: str = DataStatsKeys.IMAGE_HISTOGRAM, average: bool | None = T/;" m class:ImageHistogramSumm +__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, stats_name: str = DataStatsKeys.IMAGE_STATS, average: bool | None = True)/;" m class:ImageStatsSumm +__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, stats_name: str, report_format: dict) -> None:$/;" m class:Analyzer typeref:typename:None +__init__ monai/auto3dseg/operations.py /^ def __init__(self) -> None:$/;" m class:SampleOperations typeref:typename:None +__init__ monai/auto3dseg/operations.py /^ def __init__(self) -> None:$/;" m class:SummaryOperations typeref:typename:None +__init__ monai/auto3dseg/seg_summarizer.py /^ def __init__($/;" m class:SegSummarizer typeref:typename:None +__init__ monai/bundle/config_item.py /^ def __init__($/;" m class:ConfigComponent typeref:typename:None +__init__ monai/bundle/config_item.py /^ def __init__(self, config: Any, id: str = "") -> None:$/;" m class:ConfigItem typeref:typename:None +__init__ monai/bundle/config_item.py /^ def __init__(self, config: Any, id: str = "", globals: dict | None = None) -> None:$/;" m class:ConfigExpression typeref:typename:None +__init__ monai/bundle/config_item.py /^ def __init__(self, excludes: Sequence[str] | str | None = None):$/;" m class:ComponentLocator +__init__ monai/bundle/config_parser.py /^ def __init__($/;" m class:ConfigParser +__init__ monai/bundle/reference_resolver.py /^ def __init__(self, items: Sequence[ConfigItem] | None = None):$/;" m class:ReferenceResolver +__init__ monai/bundle/workflows.py /^ def __init__($/;" m class:BundleWorkflow +__init__ monai/bundle/workflows.py /^ def __init__($/;" m class:ConfigWorkflow typeref:typename:None +__init__ monai/data/csv_saver.py /^ def __init__($/;" m class:CSVSaver typeref:typename:None +__init__ monai/data/dataloader.py /^ def __init__(self, dataset: Dataset, num_workers: int = 0, **kwargs) -> None:$/;" m class:DataLoader typeref:typename:None +__init__ monai/data/dataset.py /^ def __init__($/;" m class:ArrayDataset typeref:typename:None +__init__ monai/data/dataset.py /^ def __init__($/;" m class:CSVDataset +__init__ monai/data/dataset.py /^ def __init__($/;" m class:CacheDataset typeref:typename:None +__init__ monai/data/dataset.py /^ def __init__($/;" m class:CacheNTransDataset typeref:typename:None +__init__ monai/data/dataset.py /^ def __init__($/;" m class:GDSDataset typeref:typename:None +__init__ monai/data/dataset.py /^ def __init__($/;" m class:LMDBDataset typeref:typename:None +__init__ monai/data/dataset.py /^ def __init__($/;" m class:NPZDictItemDataset +__init__ monai/data/dataset.py /^ def __init__($/;" m class:PersistentDataset typeref:typename:None +__init__ monai/data/dataset.py /^ def __init__($/;" m class:SmartCacheDataset typeref:typename:None +__init__ monai/data/dataset.py /^ def __init__(self, data: Any, func: Callable, **kwargs) -> None:$/;" m class:DatasetFunc typeref:typename:None +__init__ monai/data/dataset.py /^ def __init__(self, data: Sequence, transform: Callable | None = None) -> None:$/;" m class:Dataset typeref:typename:None +__init__ monai/data/dataset.py /^ def __init__(self, datasets: Sequence, transform: Callable | None = None) -> None:$/;" m class:ZipDataset typeref:typename:None +__init__ monai/data/dataset_summary.py /^ def __init__($/;" m class:DatasetSummary +__init__ monai/data/folder_layout.py /^ def __init__($/;" m class:FolderLayout +__init__ monai/data/grid_dataset.py /^ def __init__($/;" m class:GridPatchDataset typeref:typename:None +__init__ monai/data/grid_dataset.py /^ def __init__($/;" m class:PatchDataset typeref:typename:None +__init__ monai/data/grid_dataset.py /^ def __init__($/;" m class:PatchIter +__init__ monai/data/grid_dataset.py /^ def __init__($/;" m class:PatchIterd +__init__ monai/data/image_dataset.py /^ def __init__($/;" m class:ImageDataset typeref:typename:None +__init__ monai/data/image_reader.py /^ def __init__($/;" m class:ITKReader +__init__ monai/data/image_reader.py /^ def __init__($/;" m class:NibabelReader +__init__ monai/data/image_reader.py /^ def __init__($/;" m class:NrrdReader +__init__ monai/data/image_reader.py /^ def __init__($/;" m class:PydicomReader +__init__ monai/data/image_reader.py /^ def __init__(self, converter: Callable | None = None, reverse_indexing: bool = True, **kwarg/;" m class:PILReader +__init__ monai/data/image_reader.py /^ def __init__(self, npz_keys: KeysCollection | None = None, channel_dim: str | int | None = N/;" m class:NumpyReader +__init__ 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typeref:typename:None +__init__ monai/data/meta_tensor.py /^ def __init__($/;" m class:MetaTensor typeref:typename:None +__init__ monai/data/samplers.py /^ def __init__($/;" m class:DistributedSampler +__init__ monai/data/samplers.py /^ def __init__($/;" m class:DistributedWeightedRandomSampler +__init__ monai/data/test_time_augmentation.py /^ def __init__($/;" m class:TestTimeAugmentation typeref:typename:None +__init__ monai/data/thread_buffer.py /^ def __init__($/;" m class:ThreadDataLoader +__init__ monai/data/thread_buffer.py /^ def __init__(self, src, buffer_size: int = 1, timeout: float = 0.01):$/;" m class:ThreadBuffer +__init__ monai/data/ultrasound_confidence_map.py /^ def __init__(self, alpha: float = 2.0, beta: float = 90.0, gamma: float = 0.05, mode="B", si/;" m class:UltrasoundConfidenceMap +__init__ monai/data/video_dataset.py /^ def __init__($/;" m class:VideoDataset typeref:typename:None +__init__ monai/data/video_dataset.py /^ def __init__(self, *args, **kwargs) -> None:$/;" m class:VideoFileDataset typeref:typename:None +__init__ monai/data/wsi_datasets.py /^ def __init__($/;" m class:MaskedPatchWSIDataset +__init__ monai/data/wsi_datasets.py /^ def __init__($/;" m class:PatchWSIDataset +__init__ monai/data/wsi_datasets.py /^ def __init__($/;" m class:SlidingPatchWSIDataset +__init__ monai/data/wsi_reader.py /^ def __init__($/;" m class:BaseWSIReader +__init__ monai/data/wsi_reader.py /^ def __init__($/;" m class:WSIReader +__init__ monai/data/wsi_reader.py /^ def __init__(self, **kwargs):$/;" m class:OpenSlideWSIReader +__init__ monai/data/wsi_reader.py /^ def __init__(self, **kwargs):$/;" m class:TiffFileWSIReader +__init__ monai/data/wsi_reader.py /^ def __init__(self, num_workers: int = 0, **kwargs):$/;" m class:CuCIMWSIReader +__init__ monai/engines/evaluator.py /^ def __init__($/;" m class:EnsembleEvaluator typeref:typename:None +__init__ monai/engines/evaluator.py /^ def __init__($/;" m class:Evaluator typeref:typename:None +__init__ 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str | None = None):$/;" m class:CheckpointSaver.__init__._DiskSaver +__init__ monai/handlers/checkpoint_saver.py /^ def __init__($/;" m class:CheckpointSaver typeref:typename:None +__init__ monai/handlers/classification_saver.py /^ def __init__($/;" m class:ClassificationSaver typeref:typename:None +__init__ monai/handlers/clearml_handlers.py /^ def __init__($/;" m class:ClearMLHandler typeref:typename:None +__init__ monai/handlers/clearml_handlers.py /^ def __init__($/;" m class:ClearMLImageHandler typeref:typename:None +__init__ monai/handlers/clearml_handlers.py /^ def __init__($/;" m class:ClearMLStatsHandler typeref:typename:None +__init__ monai/handlers/confusion_matrix.py /^ def __init__($/;" m class:ConfusionMatrix typeref:typename:None +__init__ monai/handlers/decollate_batch.py /^ def __init__($/;" m class:DecollateBatch +__init__ monai/handlers/earlystop_handler.py /^ def __init__($/;" m class:EarlyStopHandler typeref:typename:None +__init__ 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class:Bottleneck +__init__ monai/networks/nets/quicknat.py /^ def __init__(self, in_channels: int, un_pool, se_layer, dropout, kernel_size, num_filters):$/;" m class:Decoder +__init__ monai/networks/nets/quicknat.py /^ def __init__(self, spatial_dims, in_channels, out_channels, strides, kernel_size, act=None, /;" m class:ClassifierBlock +__init__ monai/networks/nets/regressor.py /^ def __init__($/;" m class:Regressor typeref:typename:None +__init__ monai/networks/nets/regunet.py /^ def __init__($/;" m class:AdditiveUpSampleBlock +__init__ monai/networks/nets/regunet.py /^ def __init__($/;" m class:AffineHead +__init__ monai/networks/nets/regunet.py /^ def __init__($/;" m class:GlobalNet +__init__ monai/networks/nets/regunet.py /^ def __init__($/;" m class:LocalNet +__init__ monai/networks/nets/regunet.py /^ def __init__($/;" m class:RegUNet +__init__ monai/networks/nets/resnet.py /^ def __init__($/;" m class:ResNet typeref:typename:None +__init__ monai/networks/nets/resnet.py /^ def __init__($/;" m class:ResNetBlock typeref:typename:None +__init__ monai/networks/nets/resnet.py /^ def __init__($/;" m class:ResNetBottleneck typeref:typename:None +__init__ monai/networks/nets/segresnet.py /^ def __init__($/;" m class:SegResNet +__init__ monai/networks/nets/segresnet.py /^ def __init__($/;" m class:SegResNetVAE +__init__ monai/networks/nets/segresnet_ds.py /^ def __init__($/;" m class:SegResBlock typeref:typename:None +__init__ monai/networks/nets/segresnet_ds.py /^ def __init__($/;" m class:SegResEncoder +__init__ monai/networks/nets/segresnet_ds.py /^ def __init__($/;" m class:SegResNetDS +__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SENet typeref:typename:None +__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SENet154 typeref:typename:None +__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SEResNet101 typeref:typename:None +__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SEResNet152 typeref:typename:None +__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SEResNet50 typeref:typename:None +__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SEResNext101 typeref:typename:None +__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SEResNext50 typeref:typename:None +__init__ monai/networks/nets/swin_unetr.py /^ def __init__($/;" m class:BasicLayer typeref:typename:None +__init__ monai/networks/nets/swin_unetr.py /^ def __init__($/;" m class:SwinTransformer typeref:typename:None +__init__ monai/networks/nets/swin_unetr.py /^ def __init__($/;" m class:SwinTransformerBlock typeref:typename:None +__init__ monai/networks/nets/swin_unetr.py /^ def __init__($/;" m class:SwinUNETR typeref:typename:None +__init__ monai/networks/nets/swin_unetr.py /^ def __init__($/;" m class:WindowAttention typeref:typename:None +__init__ monai/networks/nets/swin_unetr.py /^ def __init__(self, dim: int, norm_layer: type[LayerNorm] = nn.LayerNorm, spatial_dims: int =/;" m class:PatchMergingV2 typeref:typename:None +__init__ monai/networks/nets/torchvision_fc.py /^ def __init__($/;" m class:TorchVisionFCModel +__init__ monai/networks/nets/transchex.py /^ def __init__($/;" m class:MultiModal typeref:typename:None +__init__ monai/networks/nets/transchex.py /^ def __init__($/;" m class:Transchex typeref:typename:None +__init__ monai/networks/nets/transchex.py /^ def __init__(self, *inputs, **kwargs) -> None:$/;" m class:BertPreTrainedModel typeref:typename:None +__init__ monai/networks/nets/transchex.py /^ def __init__(self, config) -> None:$/;" m class:BertAttention typeref:typename:None +__init__ monai/networks/nets/transchex.py /^ def __init__(self, config) -> None:$/;" m class:BertMixedLayer typeref:typename:None +__init__ monai/networks/nets/transchex.py /^ def __init__(self, config) -> None:$/;" m class:BertOutput typeref:typename:None +__init__ monai/networks/nets/transchex.py /^ def __init__(self, hidden_size) -> None:$/;" m class:Pooler typeref:typename:None +__init__ monai/networks/nets/unet.py /^ def __init__($/;" m class:UNet typeref:typename:None +__init__ monai/networks/nets/unetr.py /^ def __init__($/;" m class:UNETR typeref:typename:None +__init__ monai/networks/nets/varautoencoder.py /^ def __init__($/;" m class:VarAutoEncoder typeref:typename:None +__init__ monai/networks/nets/vit.py /^ def __init__($/;" m class:ViT typeref:typename:None +__init__ monai/networks/nets/vitautoenc.py /^ def __init__($/;" m class:ViTAutoEnc typeref:typename:None +__init__ monai/networks/nets/vnet.py /^ def __init__($/;" m class:DownTransition +__init__ monai/networks/nets/vnet.py /^ def __init__($/;" m class:InputTransition +__init__ monai/networks/nets/vnet.py /^ def __init__($/;" m class:OutputTransition +__init__ monai/networks/nets/vnet.py /^ def __init__($/;" m class:UpTransition +__init__ monai/networks/nets/vnet.py /^ def __init__($/;" m class:VNet +__init__ monai/networks/nets/vnet.py /^ def __init__(self, spatial_dims: int, nchan: int, act: tuple[str, dict] | str, bias: bool = /;" m class:LUConv +__init__ monai/networks/nets/voxelmorph.py /^ def __init__($/;" m class:VoxelMorph typeref:typename:None +__init__ monai/networks/nets/voxelmorph.py /^ def __init__($/;" m class:VoxelMorphUNet typeref:typename:None +__init__ monai/optimizers/lr_finder.py /^ def __init__($/;" m class:LearningRateFinder typeref:typename:None +__init__ monai/optimizers/lr_finder.py /^ def __init__($/;" m class:TrainDataLoaderIter typeref:typename:None +__init__ monai/optimizers/lr_finder.py /^ def __init__(self, data_loader: DataLoader, image_extractor: Callable, label_extractor: Call/;" m class:DataLoaderIter typeref:typename:None +__init__ monai/optimizers/lr_finder.py /^ def __init__(self, data_loader: DataLoader, image_extractor: Callable, label_extractor: Call/;" m class:ValDataLoaderIter typeref:typename:None +__init__ monai/optimizers/lr_scheduler.py /^ def __init__($/;" m class:WarmupCosineSchedule typeref:typename:None +__init__ monai/optimizers/lr_scheduler.py /^ def __init__(self, optimizer: Optimizer, end_lr: float, num_iter: int, last_epoch: int = -1)/;" m class:_LRSchedulerMONAI typeref:typename:None +__init__ monai/optimizers/novograd.py /^ def __init__($/;" m class:Novograd +__init__ monai/transforms/adaptors.py /^ def __init__(self, function: Callable) -> None:$/;" m class:FunctionSignature typeref:typename:None +__init__ monai/transforms/compose.py /^ def __init__($/;" m class:Compose typeref:typename:None +__init__ monai/transforms/compose.py /^ def __init__($/;" m class:OneOf typeref:typename:None +__init__ monai/transforms/compose.py /^ def __init__($/;" m class:RandomOrder typeref:typename:None +__init__ monai/transforms/compose.py /^ def __init__($/;" m class:SomeOf typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:BorderPad typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:CropForeground typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:DivisiblePad typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:Pad typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandCropByLabelClasses typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandCropByPosNegLabel typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandScaleCrop typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandSpatialCrop typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandSpatialCropSamples typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandWeightedCrop +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:ResizeWithPadOrCrop +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:SpatialCrop typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:SpatialPad typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__(self, lazy: bool = False):$/;" m class:Crop +__init__ monai/transforms/croppad/array.py /^ def __init__(self, roi_scale: Sequence[float] | float, lazy: bool = False):$/;" m class:CenterScaleCrop +__init__ monai/transforms/croppad/array.py /^ def __init__(self, roi_size: Sequence[int] | int, lazy: bool = False) -> None:$/;" m class:CenterSpatialCrop typeref:typename:None +__init__ monai/transforms/croppad/array.py /^ def __init__(self, select_fn: Callable = is_positive) -> None:$/;" m class:BoundingRect typeref:typename:None +__init__ monai/transforms/croppad/batch.py /^ def __init__(self, method: str = Method.SYMMETRIC, mode: str = PytorchPadMode.CONSTANT, **kw/;" m class:PadListDataCollate typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:BorderPadd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:BoundingRectd +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:CenterScaleCropd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:CenterSpatialCropd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:CropForegroundd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:DivisiblePadd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:Padd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandCropByLabelClassesd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandCropByPosNegLabeld typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandScaleCropd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandSpatialCropSamplesd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandSpatialCropd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandWeightedCropd +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:ResizeWithPadOrCropd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:SpatialCropd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:SpatialPadd typeref:typename:None +__init__ monai/transforms/croppad/dictionary.py /^ def __init__(self, keys: KeysCollection, cropper: Crop, allow_missing_keys: bool = False, la/;" m class:Cropd +__init__ monai/transforms/croppad/dictionary.py /^ def __init__(self, keys: KeysCollection, cropper: Crop, allow_missing_keys: bool = False, la/;" m class:RandCropd +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:ForegroundMask typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:GaussianSharpen typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:HistogramNormalize typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:NormalizeIntensity typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandAdjustContrast typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandBiasField typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandCoarseDropout typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandCoarseTransform typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandGaussianNoise typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandGaussianSharpen typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandGaussianSmooth typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandKSpaceSpikeNoise +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandRicianNoise typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandScaleIntensity typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandScaleIntensityFixedMean typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandShiftIntensity typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandStdShiftIntensity typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:ScaleIntensity typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:ScaleIntensityFixedMean typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:ScaleIntensityRange typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:ScaleIntensityRangePercentiles typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:StdShiftIntensity typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, alpha: float = 0.1) -> None:$/;" m class:GibbsNoise typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, alpha: float = 2.0, beta: float = 90.0, gamma: float = 0.05, mode="B", si/;" m class:UltrasoundConfidenceMapTransform typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, axis: int = 1, n: int | None = None) -> None:$/;" m class:DetectEnvelope typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, dtype: DtypeLike = "float32") -> None:$/;" m class:ComputeHoVerMaps typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, gamma: float, invert_image: bool = False, retain_stats: bool = False) -> /;" m class:AdjustContrast typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, kernel_size: int = 30, slope: float = 0.7):$/;" m class:IntensityRemap +__init__ monai/transforms/intensity/array.py /^ def __init__(self, loc: tuple | Sequence[tuple], k_intensity: Sequence[float] | float | None/;" m class:KSpaceSpikeNoise +__init__ monai/transforms/intensity/array.py /^ def __init__(self, mask_data: NdarrayOrTensor | None = None, select_fn: Callable = is_positi/;" m class:MaskIntensity typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, num_control_points: tuple[int, int] | int = 10, prob: float = 0.1) -> Non/;" m class:RandHistogramShift typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, offset: float, safe: bool = False) -> None:$/;" m class:ShiftIntensity typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, prob: float = 0.1, alpha: float | Sequence[float] = (0.0, 1.0)) -> None:$/;" m class:RandGibbsNoise typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, prob: float = 0.1, kernel_size: int = 30, slope: float = 0.7, channel_wis/;" m class:RandIntensityRemap +__init__ monai/transforms/intensity/array.py /^ def __init__(self, radius: Sequence[int] | int = 1) -> None:$/;" m class:MedianSmooth typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, sigma: Sequence[float] | float = 1.0, approx: str = "erf") -> None:$/;" m class:GaussianSmooth typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, threshold: float, above: bool = True, cval: float = 0.0) -> None:$/;" m class:ThresholdIntensity typeref:typename:None +__init__ monai/transforms/intensity/array.py /^ def __init__(self, window_length: int, order: int, axis: int = 1, mode: str = "zeros"):$/;" m class:SavitzkyGolaySmooth +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:AdjustContrastd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ComputeHoVerMapsd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ForegroundMaskd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:GaussianSharpend typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:GaussianSmoothd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:HistogramNormalized typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:KSpaceSpikeNoised typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:MaskIntensityd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:NormalizeIntensityd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandAdjustContrastd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandBiasFieldd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandCoarseDropoutd +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandCoarseShuffled +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandGaussianNoised typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandGaussianSharpend +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandGaussianSmoothd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandGibbsNoised typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandHistogramShiftd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandKSpaceSpikeNoised +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandRicianNoised typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandScaleIntensityFixedMeand typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandScaleIntensityd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandShiftIntensityd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandStdShiftIntensityd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:SavitzkyGolaySmoothd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ScaleIntensityRangePercentilesd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ScaleIntensityRanged typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ScaleIntensityd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ShiftIntensityd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:StdShiftIntensityd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ThresholdIntensityd typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__(self, keys: KeysCollection, alpha: float = 0.5, allow_missing_keys: bool = Fals/;" m class:GibbsNoised typeref:typename:None +__init__ monai/transforms/intensity/dictionary.py /^ def __init__(self, keys: KeysCollection, radius: Sequence[int] | int, allow_missing_keys: bo/;" m class:MedianSmoothd typeref:typename:None +__init__ monai/transforms/inverse_batch_transform.py /^ def __init__($/;" m class:BatchInverseTransform typeref:typename:None +__init__ monai/transforms/inverse_batch_transform.py /^ def __init__($/;" m class:Decollated typeref:typename:None +__init__ monai/transforms/inverse_batch_transform.py /^ def __init__(self, data: Sequence[Any], transform: InvertibleTransform, pad_collation_used: /;" m class:_BatchInverseDataset typeref:typename:None +__init__ monai/transforms/io/array.py /^ def __init__($/;" m class:LoadImage typeref:typename:None +__init__ monai/transforms/io/array.py /^ def __init__($/;" m class:SaveImage typeref:typename:None +__init__ monai/transforms/io/dictionary.py /^ def __init__($/;" m class:LoadImaged typeref:typename:None +__init__ monai/transforms/io/dictionary.py /^ def __init__($/;" m class:SaveImaged typeref:typename:None +__init__ monai/transforms/lazy/dictionary.py /^ def __init__(self, keys: KeysCollection):$/;" m class:ApplyPendingd +__init__ monai/transforms/lazy/utils.py /^ def __init__(self, data):$/;" m class:Affine +__init__ monai/transforms/lazy/utils.py /^ def __init__(self, data):$/;" m class:DisplacementField +__init__ monai/transforms/meta_utility/dictionary.py /^ def __init__($/;" m class:FromMetaTensord +__init__ monai/transforms/nvtx.py /^ def __init__(self, msg: str) -> None:$/;" m class:Mark typeref:typename:None +__init__ monai/transforms/nvtx.py /^ def __init__(self, msg: str) -> None:$/;" m class:RangePush typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:AsDiscrete typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:Invert typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:KeepLargestConnectedComponent typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:ProbNMS typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:RemoveSmallObjects typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:SobelGradients typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__(self, applied_labels: Iterable[int] | int | None = None, connectivity: int | No/;" m class:FillHoles typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__(self, applied_labels: Iterable[int] | int) -> None:$/;" m class:LabelFilter typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__(self, kernel_type: str = "Laplace") -> None:$/;" m class:LabelToContour typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__(self, num_classes: int | None = None) -> None:$/;" m class:VoteEnsemble typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__(self, sampling: None | float | list[float] = None) -> None:$/;" m class:DistanceTransformEDT typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__(self, sigmoid: bool = False, softmax: bool = False, other: Callable | None = No/;" m class:Activations typeref:typename:None +__init__ monai/transforms/post/array.py /^ def __init__(self, weights: Sequence[float] | NdarrayOrTensor | None = None) -> None:$/;" m class:MeanEnsemble typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:Activationsd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:AsDiscreted typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:DistanceTransformEDTd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:Ensembled typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:FillHolesd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:Invertd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:KeepLargestConnectedComponentd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:LabelFilterd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:MeanEnsembled typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:ProbNMSd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:RemoveSmallObjectsd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:SaveClassificationd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:SobelGradientsd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__(self, keys: KeysCollection, kernel_type: str = "Laplace", allow_missing_keys: b/;" m class:LabelToContourd typeref:typename:None +__init__ monai/transforms/post/dictionary.py /^ def __init__(self, keys: KeysCollection, output_key: str | None = None, num_classes: int | N/;" m class:VoteEnsembled typeref:typename:None +__init__ monai/transforms/regularization/array.py /^ def __init__(self, batch_size: int, alpha: float = 1.0) -> None:$/;" m class:Mixer typeref:typename:None +__init__ monai/transforms/regularization/dictionary.py /^ def __init__($/;" m class:CutMixd typeref:typename:None +__init__ monai/transforms/regularization/dictionary.py /^ def __init__($/;" m class:MixUpd typeref:typename:None +__init__ monai/transforms/regularization/dictionary.py /^ def __init__(self, keys: KeysCollection, batch_size: int, allow_missing_keys: bool = False) /;" m class:CutOutd typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__($/;" m class:SignalRandAddSinePartial typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__($/;" m class:SignalRandAddSquarePulsePartial typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__($/;" m class:SignalRandShift typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__($/;" m class:SignalRemoveFrequency typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__(self, boundaries: Sequence[float] = (-1.0, 1.0)) -> None:$/;" m class:SignalRandScale typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__(self, boundaries: Sequence[float] = (0.0, 1.0)) -> None:$/;" m class:SignalRandDrop typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__(self, boundaries: Sequence[float] = (0.001, 0.02)) -> None:$/;" m class:SignalRandAddGaussianNoise typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__(self, boundaries: Sequence[float] = (0.01, 0.2), frequencies: Sequence[float] =/;" m class:SignalRandAddSquarePulse typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__(self, boundaries: Sequence[float] = (0.1, 0.3), frequencies: Sequence[float] = /;" m class:SignalRandAddSine typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__(self, replacement: float = 0.0) -> None:$/;" m class:SignalFillEmpty typeref:typename:None +__init__ monai/transforms/signal/array.py /^ def __init__(self, type: str = "mexh", length: float = 125.0, frequency: float = 500.0) -> N/;" m class:SignalContinuousWavelet typeref:typename:None +__init__ monai/transforms/signal/dictionary.py /^ def __init__(self, keys: KeysCollection = None, allow_missing_keys: bool = False, replacemen/;" m class:SignalFillEmptyd +__init__ monai/transforms/smooth_field/array.py /^ def __init__($/;" m class:RandSmoothDeform +__init__ monai/transforms/smooth_field/array.py /^ def __init__($/;" m class:RandSmoothFieldAdjustContrast +__init__ monai/transforms/smooth_field/array.py /^ def __init__($/;" m class:RandSmoothFieldAdjustIntensity +__init__ monai/transforms/smooth_field/array.py /^ def __init__($/;" m class:SmoothField +__init__ monai/transforms/smooth_field/dictionary.py /^ def __init__($/;" m class:RandSmoothDeformd +__init__ monai/transforms/smooth_field/dictionary.py /^ def __init__($/;" m class:RandSmoothFieldAdjustContrastd +__init__ monai/transforms/smooth_field/dictionary.py /^ def __init__($/;" m class:RandSmoothFieldAdjustIntensityd +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Affine typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:AffineGrid typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:GridDistortion typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:GridPatch +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Orientation typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Rand2DElastic typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Rand3DElastic typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandAffine typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandAffineGrid typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandDeformGrid typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandGridDistortion typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandGridPatch +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandRotate typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandRotate90 typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandSimulateLowResolution typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandZoom typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Resample typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Resize typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Rotate typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Spacing typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:SpatialResample +__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Zoom typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__(self, grid: tuple[int, int] = (2, 2), size: int | tuple[int, int] | None = None/;" m class:GridSplit +__init__ monai/transforms/spatial/array.py /^ def __init__(self, k: int = 1, spatial_axes: tuple[int, int] = (0, 1), lazy: bool = False) -/;" m class:Rotate90 typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__(self, prob: float = 0.1, lazy: bool = False) -> None:$/;" m class:RandAxisFlip typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__(self, prob: float = 0.1, spatial_axis: Sequence[int] | int | None = None, lazy:/;" m class:RandFlip typeref:typename:None +__init__ monai/transforms/spatial/array.py /^ def __init__(self, spatial_axis: Sequence[int] | int | None = None, lazy: bool = False) -> N/;" m class:Flip typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Affined typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Flipd typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:GridDistortiond typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:GridPatchd +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:GridSplitd +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Orientationd typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Rand2DElasticd typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Rand3DElasticd typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandAffined typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandAxisFlipd typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandFlipd typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandGridDistortiond typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandGridPatchd +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandRotate90d typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandRotated typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandSimulateLowResolutiond typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandZoomd typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:ResampleToMatchd +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Resized typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Rotate90d typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Rotated typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Spacingd typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:SpatialResampled typeref:typename:None +__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Zoomd typeref:typename:None +__init__ monai/transforms/transform.py /^ def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:$/;" m class:MapTransform typeref:typename:None +__init__ monai/transforms/transform.py /^ def __init__(self, lazy: bool | None = False):$/;" m class:LazyTransform +__init__ monai/transforms/transform.py /^ def __init__(self, prob: float = 1.0, do_transform: bool = True):$/;" m class:RandomizableTransform +__init__ monai/transforms/utility/array.py /^ def __init__( # pytype: disable=annotation-type-mismatch$/;" m class:LabelToMask typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:ClassesToIndices typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:DataStats typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:EnsureType typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:Lambda typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:RandImageFilter typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:RandLambda typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:ToTensor typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, background: int = 0, pert: float = 0.0) -> None:$/;" m class:AddExtremePointsChannel typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, channel_dim: int = 0) -> None:$/;" m class:AsChannelLast typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, delay_time: float = 0.0) -> None:$/;" m class:SimulateDelay typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, device: torch.device | str, **kwargs) -> None:$/;" m class:ToDevice typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, dim: int = -1, keepdim: bool = True, update_meta=True) -> None:$/;" m class:SplitDim typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, dim: int | None = 0, update_meta=True) -> None:$/;" m class:SqueezeDim typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, dtype: DtypeLike = None, wrap_sequence: bool = True) -> None:$/;" m class:ToNumpy typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, dtype: np.dtype | None = None, wrap_sequence: bool = True) -> None:$/;" m class:ToCupy typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, dtype=np.float32) -> None:$/;" m class:CastToType typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, filter: str | NdarrayOrTensor | nn.Module, filter_size: int | None = None/;" m class:ImageFilter typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, image_threshold: float = 0.0, output_shape: Sequence[int] | None = None) /;" m class:FgBgToIndices typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, indices: Sequence[int] | None) -> None:$/;" m class:Transpose typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, name: str, *args, **kwargs) -> None:$/;" m class:CuCIM typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, name: str, *args, **kwargs) -> None:$/;" m class:RandCuCIM typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, name: str, *args, **kwargs) -> None:$/;" m class:TorchVision typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, ops: Sequence[str | Callable], key_prefix: str, channel_wise: bool = Fals/;" m class:IntensityStats typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, orig_labels: Sequence, target_labels: Sequence, dtype: DtypeLike = np.flo/;" m class:MapLabelValue typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, repeats: int) -> None:$/;" m class:RemoveRepeatedChannel typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, repeats: int) -> None:$/;" m class:RepeatChannel typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, spatial_dims: Sequence[int]) -> None:$/;" m class:AddCoordinateChannels typeref:typename:None +__init__ monai/transforms/utility/array.py /^ def __init__(self, strict_check: bool = True, channel_dim: None | str | int = None):$/;" m class:EnsureChannelFirst +__init__ monai/transforms/utility/dictionary.py /^ def __init__( # pytype: disable=annotation-type-mismatch$/;" m class:LabelToMaskd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:AddExtremePointsChanneld +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:CastToTyped typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ClassesToIndicesd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:CopyItemsd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:DataStatsd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:EnsureChannelFirstd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:EnsureTyped typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:FgBgToIndicesd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:FlattenSubKeysd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ImageFilterd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:IntensityStatsd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:Lambdad typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:MapLabelValued typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:RandImageFilterd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:RandLambdad typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:SimulateDelayd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:SplitDimd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:SqueezeDimd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ToCupyd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ToDeviced typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ToNumpyd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ToTensord typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:$/;" m class:Identityd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:$/;" m class:ToPILd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False):$/;" m class:ConvertToMultiChannelBasedOnBratsClassesd +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, channel_dim: int = 0, allow_missing_keys: bool = Fa/;" m class:AsChannelLastd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, indices: Sequence[int] | None, allow_missing_keys: /;" m class:Transposed typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, name: str, allow_missing_keys: bool = False, *args,/;" m class:CuCIMd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, name: str, allow_missing_keys: bool = False, *args,/;" m class:RandCuCIMd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, name: str, allow_missing_keys: bool = False, *args,/;" m class:RandTorchVisiond typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, name: str, allow_missing_keys: bool = False, *args,/;" m class:TorchVisiond typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, name: str, dim: int = 0, allow_missing_keys: bool =/;" m class:ConcatItemsd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, repeats: int, allow_missing_keys: bool = False) -> /;" m class:RemoveRepeatedChanneld typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, repeats: int, allow_missing_keys: bool = False) -> /;" m class:RepeatChanneld typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, sep: str = ".", use_re: Sequence[bool] | bool = Fal/;" m class:DeleteItemsd typeref:typename:None +__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, spatial_dims: Sequence[int], allow_missing_keys: bo/;" m class:AddCoordinateChannelsd typeref:typename:None +__init__ monai/utils/component_store.py /^ def __init__(self, name: str, 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__init__(self, required_version, name):$/;" m class:InvalidPyTorchVersionError +__init__ monai/utils/nvtx.py /^ def __init__($/;" m class:Range typeref:typename:None +__init__ monai/utils/profiling.py /^ def __init__(self):$/;" m class:PerfContext +__init__ monai/utils/profiling.py /^ def __init__(self, call_selector=select_transform_call):$/;" m class:WorkflowProfiler +__init__ monai/utils/profiling.py /^ def __init__(self, name: str, profiler: WorkflowProfiler, start_event: Events, end_event: Ev/;" m class:ProfileHandler +__init__ monai/utils/state_cacher.py /^ def __init__($/;" m class:StateCacher typeref:typename:None +__init__ monai/visualize/class_activation_maps.py /^ def __init__($/;" m class:CAM typeref:typename:None +__init__ monai/visualize/class_activation_maps.py /^ def __init__($/;" m class:CAMBase typeref:typename:None +__init__ monai/visualize/class_activation_maps.py /^ def __init__($/;" m class:ModelWithHooks +__init__ monai/visualize/gradient_based.py /^ def __init__($/;" m class:SmoothGrad typeref:typename:None +__init__ monai/visualize/gradient_based.py /^ def __init__(self, model: torch.nn.Module) -> None:$/;" m class:VanillaGrad typeref:typename:None +__init__ monai/visualize/occlusion_sensitivity.py /^ def __init__($/;" m class:OcclusionSensitivity typeref:typename:None +__init__ tests/nonconfig_workflow.py /^ def __init__(self, filename, output_dir, meta_file=None, logging_file=None):$/;" m class:NonConfigWorkflow +__init__ tests/runner.py /^ def __init__(self, *args, **kwargs):$/;" m class:TimeLoggingTestResult +__init__ tests/test_auto3dseg.py /^ def __init__(self) -> None:$/;" m class:TestOperations typeref:typename:None +__init__ tests/test_auto3dseg.py /^ def __init__(self, image_key="image", stats_name="test_image"):$/;" m class:TestImageAnalyzer +__init__ tests/test_auto3dseg.py /^ def __init__(self, key, report_format, stats_name="test"):$/;" m class:TestAnalyzer +__init__ tests/test_cachedataset.py /^ def __init__(self):$/;" 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__init__() (monai.transforms.fillholesd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__init__() (monai.transforms.frommetatensord method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__init__() (monai.transforms.griddistortion method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__init__() (monai.transforms.griddistortiond method) docs/build/html/searchindex.js 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/^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__init__() (monai.transforms.randstdshiftintensityd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__init__() (monai.transforms.removerepeatedchanneld method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__init__() (monai.transforms.repeatchanneld method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +__init__() (monai.transforms.resample method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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class:RegressionMetric typeref:typename:torch.Tensor +_compute_metric monai/metrics/regression.py /^ def _compute_metric(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor:$/;" m class:SSIMMetric typeref:typename:torch.Tensor +_compute_offset_matrix monai/data/itk_torch_bridge.py /^def _compute_offset_matrix(image, center_of_rotation) -> tuple[torch.Tensor, torch.Tensor]:$/;" f typeref:typename:tuple[torch.Tensor,torch.Tensor] +_compute_op monai/handlers/utils.py /^ def _compute_op(op: str, d: np.ndarray) -> Any:$/;" f function:write_metrics_reports typeref:typename:Any file: +_compute_path monai/data/decathlon_datalist.py /^def _compute_path(base_dir, element, check_path=False):$/;" f +_compute_path monai/data/decathlon_datalist.py /^def _compute_path(base_dir: PathLike, element: PathLike, check_path: bool = False) -> str: ...$/;" f typeref:typename:str +_compute_path monai/data/decathlon_datalist.py /^def _compute_path(base_dir: PathLike, element: list[PathLike], check_path: bool = False) -> list/;" f typeref:typename:list[str] +_compute_percentile_hausdorff_distance monai/metrics/hausdorff_distance.py /^def _compute_percentile_hausdorff_distance($/;" f typeref:typename:torch.Tensor +_compute_pred_loss monai/engines/trainer.py /^ def _compute_pred_loss():$/;" f member:SupervisedTrainer._iteration file: +_compute_reference_space_affine_matrix monai/data/itk_torch_bridge.py /^def _compute_reference_space_affine_matrix(image, ref_image) -> torch.Tensor:$/;" f typeref:typename:torch.Tensor +_compute_replacements monai/data/dataset.py /^ def _compute_replacements(self):$/;" m class:SmartCacheDataset +_compute_sobel monai/apps/pathology/losses/hovernet_loss.py /^ def _compute_sobel(self, image: torch.Tensor) -> torch.Tensor:$/;" m class:HoVerNetLoss typeref:typename:torch.Tensor +_compute_spacing_matrix monai/data/itk_torch_bridge.py /^def _compute_spacing_matrix(image) -> tuple[torch.Tensor, torch.Tensor]:$/;" f typeref:typename:tuple[torch.Tensor,torch.Tensor] +_compute_statistics monai/apps/detection/metrics/coco.py /^ def _compute_statistics(self, results_list: list[dict[int, dict[str, np.ndarray]]]) -> dict[/;" m class:COCOMetric typeref:typename:dict[str,np.ndarray|list] +_compute_stats_single_threshold monai/apps/detection/metrics/coco.py /^def _compute_stats_single_threshold($/;" f typeref:typename:tuple[float,np.ndarray,np.ndarray] +_compute_tensor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +_compute_tensor monai/metrics/confusion_matrix.py /^ def _compute_tensor(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor: # type: i/;" m class:ConfusionMatrixMetric typeref:typename:torch.Tensor +_compute_tensor monai/metrics/f_beta_score.py /^ def _compute_tensor(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor: # type: i/;" m class:FBetaScore typeref:typename:torch.Tensor +_compute_tensor monai/metrics/generalized_dice.py /^ def _compute_tensor(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor: # type: i/;" m class:GeneralizedDiceScore typeref:typename:torch.Tensor +_compute_tensor monai/metrics/hausdorff_distance.py /^ def _compute_tensor(self, y_pred: torch.Tensor, y: torch.Tensor, **kwargs: Any) -> torch.Ten/;" m class:HausdorffDistanceMetric typeref:typename:torch.Tensor +_compute_tensor monai/metrics/loss_metric.py /^ def _compute_tensor(self, y_pred: torch.Tensor, y: torch.Tensor | None = None, **kwargs: Any/;" m class:LossMetric typeref:typename:TensorOrList +_compute_tensor monai/metrics/meandice.py /^ def _compute_tensor(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor: # type: i/;" m class:DiceMetric typeref:typename:torch.Tensor +_compute_tensor monai/metrics/meaniou.py /^ def _compute_tensor(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor: # type: i/;" m 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torch.Ten/;" m class:SurfaceDiceMetric typeref:typename:torch.Tensor +_compute_tensor monai/metrics/surface_distance.py /^ def _compute_tensor(self, y_pred: torch.Tensor, y: torch.Tensor, **kwargs: Any) -> torch.Ten/;" m class:SurfaceDistanceMetric typeref:typename:torch.Tensor +_compute_tensor monai/metrics/wrapper.py /^ def _compute_tensor(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor: # type: i/;" m class:MetricsReloadedBinary typeref:typename:torch.Tensor +_compute_tensor monai/metrics/wrapper.py /^ def _compute_tensor(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor: # type: i/;" m class:MetricsReloadedCategorical typeref:typename:torch.Tensor +_compute_total_stats monai/fl/client/monai_algo.py /^ def _compute_total_stats(case_stats_lists, hist_bins, hist_range):$/;" m class:MonaiAlgoStats +_conf_values monai/bundle/utils.py /^_conf_values = get_config_values()$/;" v +_configAfterMerge docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var 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bool) -/;" m class:UNet typeref:typename:nn.Module +_get_down_layer monai/networks/nets/voxelmorph.py /^ def _get_down_layer(self, in_channels: int, out_channels: int, is_top: bool) -> nn.Module:$/;" m class:VoxelMorphUNet typeref:typename:nn.Module +_get_encode_layer monai/networks/nets/autoencoder.py /^ def _get_encode_layer(self, in_channels: int, out_channels: int, strides: int, is_last: bool/;" m class:AutoEncoder typeref:typename:nn.Module +_get_encode_module monai/networks/nets/autoencoder.py /^ def _get_encode_module($/;" m class:AutoEncoder typeref:typename:tuple[nn.Sequential,int] +_get_fake_input_shape monai/bundle/scripts.py /^def _get_fake_input_shape(parser: ConfigParser) -> tuple:$/;" f typeref:typename:tuple +_get_fake_spatial_shape monai/bundle/scripts.py /^def _get_fake_spatial_shape(shape: Sequence[str | int], p: int = 1, n: int = 1, any: int = 1) ->/;" f typeref:typename:tuple +_get_fft_amplitude monai/losses/spectral_loss.py /^ def _get_fft_amplitude(self, images: torch.Tensor) -> torch.Tensor:$/;" m class:JukeboxLoss typeref:typename:torch.Tensor +_get_filenames monai/handlers/metrics_saver.py /^ def _get_filenames(self, engine: Engine) -> None:$/;" m class:MetricsSaver typeref:typename:None +_get_filter monai/optimizers/utils.py /^ def _get_filter(f):$/;" f function:generate_param_groups file: +_get_filter_from_string monai/transforms/utility/array.py /^ def _get_filter_from_string(self, filter: str, size: int, ndim: int) -> nn.Module | Callable/;" m class:ImageFilter typeref:typename:nn.Module|Callable +_get_final_layer monai/networks/nets/classifier.py /^ def _get_final_layer(self, in_shape: Sequence[int]):$/;" m class:Critic +_get_final_layer monai/networks/nets/regressor.py /^ def _get_final_layer(self, in_shape: Sequence[int]):$/;" m class:Regressor +_get_frame_data monai/data/image_reader.py /^ def _get_frame_data(self, img) -> Iterator:$/;" m class:PydicomReader typeref:typename:Iterator +_get_git_release_url monai/bundle/scripts.py 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dict:$/;" m class:PydicomReader typeref:typename:dict +_get_metadata docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +_get_metadata monai/data/wsi_reader.py /^ def _get_metadata($/;" m class:BaseWSIReader typeref:typename:dict +_get_method monai/utils/nvtx.py /^ def _get_method(self, obj: Any) -> tuple:$/;" m class:Range typeref:typename:tuple +_get_monaihosting_bundle_url monai/bundle/scripts.py /^def _get_monaihosting_bundle_url(model_name: str, version: str) -> str:$/;" f typeref:typename:str +_get_named_tuple_like_type monai/data/meta_tensor.py /^def _get_named_tuple_like_type(func):$/;" f +_get_neighbour_code_to_normals_table monai/metrics/utils.py /^def _get_neighbour_code_to_normals_table(device=None):$/;" f +_get_net_io_info monai/bundle/scripts.py /^def _get_net_io_info(parser: ConfigParser | None = None, prefix: str = "_meta_#network_data_form/;" f 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tuple[int, ...], patch_size: tuple[int, ...]) ->/;" m class:SlidingWindowSplitter typeref:typename:Any +_get_patch monai/inferers/splitter.py /^ def _get_patch(self, inputs: Any, location: tuple[int, ...], patch_size: tuple[int, ...]) ->/;" m class:WSISlidingWindowSplitter typeref:typename:Any +_get_point monai/transforms/utils.py /^ def _get_point(val, dim):$/;" f function:get_extreme_points file: +_get_prop_id monai/bundle/workflows.py /^ def _get_prop_id(self, name: str, property: dict) -> Any:$/;" m class:ConfigWorkflow typeref:typename:Any +_get_property monai/bundle/workflows.py /^ def _get_property(self, name: str, property: dict) -> Any:$/;" m class:BundleWorkflow typeref:typename:Any +_get_property monai/bundle/workflows.py /^ def _get_property(self, name: str, property: dict) -> Any:$/;" m class:ConfigWorkflow typeref:typename:Any +_get_property tests/nonconfig_workflow.py /^ def _get_property(self, name, property):$/;" m class:NonConfigWorkflow +_get_rand_param 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dict):$/;" m class:PatchWSIDataset +_handleFocusin docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" m class:pe.on +_handleKeydown docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" m class:pe.on +_handleSwipe docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" m class:pe.je +_handle_batched monai/data/meta_tensor.py /^ def _handle_batched(cls, ret, idx, metas, func, args, kwargs):$/;" m class:MetaTensor +_has_nvfuser monai/networks/utils.py /^_has_nvfuser = None$/;" v +_has_utils monai/networks/nets/netadapter.py /^get_graph_node_names, _has_utils = optional_import("torchvision.models.feature_extraction", name/;" v +_hideModal docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var 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property:anonymousObject06adab590105.indexentries +compute_anchor_matched_idx docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_anchor_matched_idxs monai/apps/detection/networks/retinanet_detector.py /^ def compute_anchor_matched_idxs($/;" m class:RetinaNetDetector typeref:typename:list[Tensor] +compute_anchor_matched_idxs() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_average_surface_dist docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_average_surface_distance 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I +compute_confusion_matrix_metric monai/metrics/confusion_matrix.py /^def compute_confusion_matrix_metric(metric_name: str, confusion_matrix: torch.Tensor) -> torch.T/;" f typeref:typename:torch.Tensor +compute_confusion_matrix_metric() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_dic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_dice monai/metrics/meandice.py /^def compute_dice($/;" f typeref:typename:torch.Tensor +compute_dict tests/test_sliding_window_hovernet_inference.py /^ def compute_dict(data):$/;" f member:TestSlidingWindowHoVerNetInference.test_multioutput file: +compute_dict tests/test_sliding_window_inference.py /^ def compute_dict(data):$/;" f member:TestSlidingWindowInference.test_multioutput file: +compute_divisible_spatial_s docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_divisible_spatial_size docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="compute_divisible_spatial_size">$/;" I +compute_divisible_spatial_size monai/transforms/utils.py /^def compute_divisible_spatial_size(spatial_shape: Sequence[int], k: Sequence[int] | int):$/;" f +compute_divisible_spatial_size() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_dtyp docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_f_beta_score monai/metrics/f_beta_score.py /^def compute_f_beta_score(confusion_matrix: torch.Tensor, beta: float) -> torch.Tensor:$/;" f typeref:typename:torch.Tensor +compute_fp_tp docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_fp_tp monai/apps/pathology/metrics/lesion_froc.py /^ def compute_fp_tp(self):$/;" m class:LesionFROC +compute_fp_tp() (monai.apps.pathology.metrics.lesionfroc method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_fp_tp_prob docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_fp_tp_probs docs/build/html/_modules/monai/metrics/froc.html /^<div class="viewcode-block" id="compute_fp_tp_probs">$/;" I +compute_fp_tp_probs monai/metrics/froc.py /^def compute_fp_tp_probs($/;" f typeref:typename:tuple[NdarrayOrTensor,NdarrayOrTensor,int] +compute_fp_tp_probs() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_fp_tp_probs_nd monai/metrics/froc.py /^def compute_fp_tp_probs_nd($/;" f typeref:typename:tuple[NdarrayOrTensor,NdarrayOrTensor,int] +compute_frechet_dist docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_frechet_distance docs/build/html/_modules/monai/metrics/fid.html /^<div class="viewcode-block" id="compute_frechet_distance">$/;" I +compute_frechet_distance monai/metrics/fid.py /^def compute_frechet_distance($/;" f typeref:typename:torch.Tensor +compute_frechet_distance() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_froc_curve_data docs/build/html/_modules/monai/metrics/froc.html /^<div class="viewcode-block" id="compute_froc_curve_data">$/;" I +compute_froc_curve_data docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_froc_curve_data monai/metrics/froc.py /^def compute_froc_curve_data($/;" f typeref:typename:tuple[np.ndarray,np.ndarray] +compute_froc_curve_data() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_froc_scor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_froc_score docs/build/html/_modules/monai/metrics/froc.html /^<div class="viewcode-block" id="compute_froc_score">$/;" I +compute_froc_score monai/metrics/froc.py /^def compute_froc_score($/;" f typeref:typename:Any +compute_froc_score() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_generalized_dic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_generalized_dice docs/build/html/_modules/monai/metrics/generalized_dice.html /^<div class="viewcode-block" id="compute_generalized_dice">$/;" I +compute_generalized_dice monai/metrics/generalized_dice.py /^def compute_generalized_dice($/;" f typeref:typename:torch.Tensor +compute_generalized_dice() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_hausdorff_dist docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_hausdorff_distance docs/build/html/_modules/monai/metrics/hausdorff_distance.html /^<div class="viewcode-block" id="compute_hausdorff_distance">$/;" I +compute_hausdorff_distance monai/metrics/hausdorff_distance.py /^def compute_hausdorff_distance($/;" f typeref:typename:torch.Tensor +compute_hausdorff_distance() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_i docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_importance_map docs/build/html/_modules/monai/data/utils.html /^<div class="viewcode-block" id="compute_importance_map">$/;" I +compute_importance_map docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_importance_map monai/data/utils.py /^def compute_importance_map($/;" f typeref:typename:torch.Tensor +compute_importance_map() (in module monai.data.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_iou docs/build/html/_modules/monai/metrics/meaniou.html /^<div class="viewcode-block" id="compute_iou">$/;" I +compute_iou monai/metrics/meaniou.py /^def compute_iou($/;" f typeref:typename:torch.Tensor +compute_iou() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_isolated_tumor_cel docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_isolated_tumor_cells docs/build/html/_modules/monai/apps/pathology/utils.html /^<div class="viewcode-block" id="compute_isolated_tumor_cells">$/;" I +compute_isolated_tumor_cells monai/apps/pathology/utils.py /^def compute_isolated_tumor_cells(tumor_mask: np.ndarray, threshold: float) -> list[int]:$/;" f typeref:typename:list[int] +compute_isolated_tumor_cells() (in module monai.apps.pathology.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_loss docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_loss monai/apps/detection/networks/retinanet_detector.py /^ def compute_loss($/;" m class:RetinaNetDetector typeref:typename:dict[str,Tensor] +compute_loss() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_map docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_map monai/visualize/class_activation_maps.py /^ def compute_map(self, x, class_idx=None, layer_idx=-1):$/;" m class:CAMBase +compute_map monai/visualize/class_activation_maps.py /^ def compute_map(self, x, class_idx=None, layer_idx=-1, **kwargs):$/;" m class:CAM +compute_map monai/visualize/class_activation_maps.py /^ def compute_map(self, x, class_idx=None, retain_graph=False, layer_idx=-1, **kwargs):$/;" m class:GradCAM +compute_map monai/visualize/class_activation_maps.py /^ def compute_map(self, x, class_idx=None, retain_graph=False, layer_idx=-1, **kwargs):$/;" m class:GradCAMpp +compute_map() (monai.visualize.class_activation_maps.cam method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_map() (monai.visualize.class_activation_maps.gradcam method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_map() (monai.visualize.class_activation_maps.gradcampp method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_mask monai/networks/nets/swin_unetr.py /^def compute_mask(dims, window_size, shift_size, device):$/;" f +compute_match docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_matches monai/apps/detection/utils/ATSS_matcher.py /^ def compute_matches($/;" m class:ATSSMatcher typeref:typename:tuple[torch.Tensor,torch.Tensor] +compute_matches monai/apps/detection/utils/ATSS_matcher.py /^ def compute_matches($/;" m class:Matcher typeref:typename:tuple[torch.Tensor,torch.Tensor] +compute_matches() (monai.apps.detection.utils.atss_matcher.atssmatcher method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_matches() (monai.apps.detection.utils.atss_matcher.matcher method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_mean_error_metrics monai/metrics/regression.py /^def compute_mean_error_metrics(y_pred: torch.Tensor, y: torch.Tensor, func: Callable) -> torch.T/;" f typeref:typename:torch.Tensor +compute_mmd docs/build/html/_modules/monai/metrics/mmd.html /^<div class="viewcode-block" id="compute_mmd">$/;" I +compute_mmd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_mmd monai/metrics/mmd.py /^def compute_mmd(y: torch.Tensor, y_pred: torch.Tensor, y_mapping: Callable | None) -> torch.Tens/;" f typeref:typename:torch.Tensor +compute_mmd() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_ms_ssim monai/metrics/regression.py /^def compute_ms_ssim($/;" f typeref:typename:torch.Tensor +compute_multi_instance_mask docs/build/html/_modules/monai/apps/pathology/utils.html /^<div class="viewcode-block" id="compute_multi_instance_mask">$/;" I +compute_multi_instance_mask docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_multi_instance_mask monai/apps/pathology/utils.py /^def compute_multi_instance_mask(mask: np.ndarray, threshold: float) -> Any:$/;" f typeref:typename:Any +compute_multi_instance_mask() (in module monai.apps.pathology.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_pad_width docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_pad_width monai/transforms/croppad/array.py /^ def compute_pad_width(self, spatial_shape: Sequence[int]) -> tuple[tuple[int, int]]:$/;" m class:BorderPad typeref:typename:tuple[tuple[int,int]] +compute_pad_width monai/transforms/croppad/array.py /^ def compute_pad_width(self, spatial_shape: Sequence[int]) -> tuple[tuple[int, int]]:$/;" m class:DivisiblePad typeref:typename:tuple[tuple[int,int]] +compute_pad_width monai/transforms/croppad/array.py /^ def compute_pad_width(self, spatial_shape: Sequence[int]) -> tuple[tuple[int, int]]:$/;" m class:Pad typeref:typename:tuple[tuple[int,int]] +compute_pad_width monai/transforms/croppad/array.py /^ def compute_pad_width(self, spatial_shape: Sequence[int]) -> tuple[tuple[int, int]]:$/;" m class:SpatialPad typeref:typename:tuple[tuple[int,int]] +compute_pad_width() (monai.transforms.borderpad method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_pad_width() (monai.transforms.divisiblepad method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_pad_width() (monai.transforms.pad method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_pad_width() (monai.transforms.spatialpad method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_panoptic_qu docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_panoptic_quality docs/build/html/_modules/monai/metrics/panoptic_quality.html /^<div class="viewcode-block" id="compute_panoptic_quality">$/;" I +compute_panoptic_quality monai/metrics/panoptic_quality.py /^def compute_panoptic_quality($/;" f typeref:typename:torch.Tensor +compute_panoptic_quality() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_percent_hausdorff_dist docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_percent_hausdorff_distance docs/build/html/_modules/monai/metrics/hausdorff_distance.html /^<div class="viewcode-block" id="compute_percent_hausdorff_distance">$/;" I +compute_percent_hausdorff_distance monai/metrics/hausdorff_distance.py /^def compute_percent_hausdorff_distance($/;" f typeref:typename:float +compute_percent_hausdorff_distance() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_roc_auc docs/build/html/_modules/monai/metrics/rocauc.html /^<div class="viewcode-block" id="compute_roc_auc">$/;" I +compute_roc_auc docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_roc_auc monai/metrics/rocauc.py /^def compute_roc_auc($/;" f typeref:typename:np.ndarray|float|npt.ArrayLike +compute_roc_auc() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_sampl docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_shape_offset docs/build/html/_modules/monai/data/utils.html /^<div class="viewcode-block" id="compute_shape_offset">$/;" I +compute_shape_offset docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_shape_offset monai/data/utils.py /^def compute_shape_offset($/;" f typeref:typename:tuple[np.ndarray,np.ndarray] +compute_shape_offset() (in module monai.data.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_slic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_slices monai/transforms/croppad/array.py /^ def compute_slices($/;" m class:Crop typeref:typename:tuple[slice] +compute_slices monai/transforms/croppad/array.py /^ def compute_slices(self, spatial_size: Sequence[int]) -> tuple[slice]: # type: ignore[overr/;" m class:CenterSpatialCrop typeref:typename:tuple[slice] +compute_slices() (monai.transforms.centerspatialcrop method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_slices() (monai.transforms.crop static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_ssim_and_cs monai/metrics/regression.py /^def compute_ssim_and_cs($/;" f typeref:typename:tuple[torch.Tensor,torch.Tensor] +compute_surface_dic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_surface_dice docs/build/html/_modules/monai/metrics/surface_dice.html /^<div class="viewcode-block" id="compute_surface_dice">$/;" I +compute_surface_dice monai/metrics/surface_dice.py /^def compute_surface_dice($/;" f typeref:typename:torch.Tensor +compute_surface_dice() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_vari docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +compute_variance docs/build/html/_modules/monai/metrics/active_learning_metrics.html /^<div class="viewcode-block" id="compute_variance">$/;" I +compute_variance monai/metrics/active_learning_metrics.py /^def compute_variance($/;" f typeref:typename:torch.Tensor|None +compute_variance() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +compute_w_affine monai/transforms/spatial/array.py /^ def compute_w_affine(cls, spatial_rank, mat, img_size, sp_size):$/;" m class:Affine +compute_weight_diff monai/fl/client/monai_algo.py /^def compute_weight_diff(global_weights, local_var_dict):$/;" f +computehovermap docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +computehovermaps docs/build/html/transforms.html /^<section id="computehovermaps">$/;" I +computehovermaps (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +computehovermapsd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +computehovermapsd docs/build/html/transforms.html /^<section id="computehovermapsd">$/;" I +computehovermapsd (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +computer docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p +computer-mouse docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p +concat docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +concat tests/test_compose.py /^ def concat(value):$/;" m class:TestOps +concat_multikeys_to_dict docs/build/html/_modules/monai/auto3dseg/utils.html /^<div class="viewcode-block" id="concat_multikeys_to_dict">$/;" I +concat_multikeys_to_dict docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +concat_multikeys_to_dict monai/auto3dseg/utils.py /^def concat_multikeys_to_dict($/;" f typeref:typename:dict[str,np.ndarray] +concat_multikeys_to_dict() (in module monai.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +concat_skip docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +concat_val_to_np docs/build/html/_modules/monai/auto3dseg/utils.html /^<div class="viewcode-block" id="concat_val_to_np">$/;" I +concat_val_to_np docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +concat_val_to_np monai/auto3dseg/utils.py /^def concat_val_to_np($/;" f typeref:typename:np.ndarray +concat_val_to_np() (in module monai.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +concata tests/test_compose.py /^ def concata(value):$/;" m class:TestOps +concatd tests/test_compose.py /^ def concatd(value):$/;" m class:TestOps +concaten docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +concatenate 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docs/build/html/_modules/monai/utils/type_conversion.html /^<div class="viewcode-block" id="convert_to_cupy">$/;" I +convert_to_cupy monai/utils/type_conversion.py /^def convert_to_cupy(data: Any, dtype: np.dtype | None = None, wrap_sequence: bool = False, safe:/;" f typeref:typename:Any +convert_to_cupy() (in module monai.utils.type_conversion) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +convert_to_dst_typ docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +convert_to_dst_type docs/build/html/_modules/monai/utils/type_conversion.html /^<div class="viewcode-block" id="convert_to_dst_type">$/;" I +convert_to_dst_type monai/utils/type_conversion.py /^def convert_to_dst_type($/;" f typeref:typename:tuple[NdarrayTensor,type,torch.device|None] +convert_to_dst_type() (in module monai.utils.type_conversion) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +convert_to_list monai/utils/type_conversion.py /^def convert_to_list(data: Sequence | torch.Tensor | np.ndarray) -> list:$/;" f typeref:typename:list +convert_to_numpi docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +convert_to_numpy docs/build/html/_modules/monai/utils/type_conversion.html /^<div class="viewcode-block" id="convert_to_numpy">$/;" I +convert_to_numpy monai/utils/type_conversion.py /^def convert_to_numpy(data: Any, dtype: DtypeLike = None, wrap_sequence: bool = False, safe: bool/;" f typeref:typename:Any +convert_to_numpy() (in module monai.utils.type_conversion) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +convert_to_onnx docs/build/html/_modules/monai/networks/utils.html /^<div class="viewcode-block" id="convert_to_onnx">$/;" I +convert_to_onnx docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +convert_to_onnx monai/networks/utils.py /^def convert_to_onnx($/;" f +convert_to_onnx() (in module monai.networks.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +convert_to_tensor docs/build/html/_modules/monai/utils/type_conversion.html /^<div class="viewcode-block" id="convert_to_tensor">$/;" I +convert_to_tensor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +convert_to_tensor monai/utils/type_conversion.py /^def convert_to_tensor($/;" f typeref:typename:Any +convert_to_tensor() (in module monai.utils.type_conversion) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +convert_to_tensor_complex docs/build/html/_modules/monai/apps/reconstruction/complex_utils.html /^<div class="viewcode-block" id="convert_to_tensor_complex">$/;" I +convert_to_tensor_complex docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +convert_to_tensor_complex monai/apps/reconstruction/complex_utils.py /^def 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f +copy_cach docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +copy_conv_param monai/networks/nets/ahnet.py /^def copy_conv_param(module2d, module3d):$/;" f +copy_dir docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +copy_from monai/networks/nets/ahnet.py /^ def copy_from(self, net):$/;" m class:AHNet +copy_item docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +copy_items monai/data/meta_obj.py /^ def copy_items(data):$/;" m class:MetaObj +copy_items() (monai.data.meta_obj.metaobj static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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property:anonymousObject06adab590105.terms +copy_model_state docs/build/html/_modules/monai/networks/utils.html /^<div class="viewcode-block" id="copy_model_state">$/;" I +copy_model_state monai/networks/utils.py /^def copy_model_state($/;" f +copy_model_state() (in module monai.networks.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +copy_to_devic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +copy_to_device docs/build/html/_modules/monai/utils/misc.html /^<div class="viewcode-block" id="copy_to_device">$/;" I +copy_to_device monai/utils/misc.py /^def copy_to_device($/;" f typeref:typename:Any +copy_to_device() (in module monai.utils.misc) docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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/^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +create_grid docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="create_grid">$/;" I +create_grid docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +create_grid monai/transforms/utils.py /^def create_grid($/;" f typeref:typename:NdarrayOrTensor +create_grid() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +create_itk_affine_from_parameters tests/test_itk_torch_bridge.py /^ def create_itk_affine_from_parameters($/;" m class:TestITKTorchAffineMatrixBridge +create_new_data_copy monai/apps/nnunet/utils.py /^def 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drop_rate):$/;" m class:AddPointGuidanceSignald +exec_at_start docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +execut docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +execut docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +execute_compose monai/transforms/compose.py /^def execute_compose($/;" f typeref:typename:NdarrayOrTensor|Sequence[NdarrayOrTensor]|Mapping[Any,NdarrayOrTensor] +exhaust docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +exhibit docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +exist docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +exit docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +exp docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +exp_arr tests/test_smooth_field.py /^ exp_arr = arr_type(np.ones(shape, np.float32))$/;" v +expand docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p +expand docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +expand_ratio docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +expand_ratio (monai.networks.nets.blockargs attribute) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +expandus docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +expans docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +expansion monai/networks/blocks/squeeze_and_excitation.py /^ expansion = 4$/;" v class:SEBottleneck +expansion monai/networks/blocks/squeeze_and_excitation.py /^ expansion = 4$/;" v class:SEResNeXtBottleneck +expansion monai/networks/blocks/squeeze_and_excitation.py /^ expansion = 4$/;" v class:SEResNetBottleneck +expansion monai/networks/nets/ahnet.py /^ expansion = 4$/;" v class:Bottleneck3x3x1 +expansion monai/networks/nets/daf3d.py /^ expansion = 2$/;" v class:Daf3dResNetBottleneck +expansion monai/networks/nets/resnet.py /^ expansion = 1$/;" v class:ResNetBlock +expansion monai/networks/nets/resnet.py /^ expansion = 4$/;" v class:ResNetBottleneck +expect docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +expected_2 tests/test_probnms.py /^ expected_2 = [[0.9, 66, 66], [0.7, 33, 33]]$/;" v +expected_2 tests/test_probnmsd.py /^ expected_2 = [[0.9, 66, 66], [0.7, 33, 33]]$/;" v +expected_2d tests/test_pathology_prob_nms.py /^expected_2d = [[0.9, 133, 133], [0.7, 67, 67]]$/;" v +expected_2d tests/test_spatial_resample.py /^expected_2d = [torch.tensor([[[2.0, 1.0], [4.0, 3.0]]]), torch.tensor([[[3.0, 4.0], [1.0, 2.0]]]/;" v +expected_2d tests/test_spatial_resampled.py /^expected_2d = [torch.tensor([[[2.0, 1.0], [4.0, 3.0]]]), torch.tensor([[[3.0, 4.0], [1.0, 2.0]]]/;" v +expected_3 tests/test_probnms.py /^ expected_3 = [[0.9, 66, 66], [0.8, 60, 66]]$/;" v +expected_3 tests/test_probnmsd.py /^ expected_3 = [[0.9, 66, 66], [0.8, 60, 66]]$/;" v +expected_3d tests/test_pathology_prob_nms.py /^expected_3d = [[0.9, 91, 91, 91], [0.7, 51, 51, 51]]$/;" v +expected_3d tests/test_probnms.py /^ expected_3d = [[0.9, 45, 45, 45], [0.7, 25, 25, 25]]$/;" v +expected_3d tests/test_probnmsd.py /^ expected_3d = [[0.9, 45, 45, 45], [0.7, 25, 25, 25]]$/;" v +expected_3d tests/test_spatial_resample.py /^expected_3d = [$/;" v +expected_3d tests/test_spatial_resampled.py /^expected_3d = [$/;" v +expected_4 tests/test_probnms.py /^ expected_4 = [[0.9, 66, 66]]$/;" v +expected_4 tests/test_probnmsd.py /^ expected_4 = [[0.9, 66, 66]]$/;" v +expected_6 tests/test_probnms.py /^ expected_6 = [[0.9, 66, 66], [0.7, 33, 33]]$/;" v +expected_6 tests/test_probnmsd.py /^ expected_6 = [[0.9, 66, 66], [0.7, 33, 33]]$/;" v +expected_grad tests/test_grid_pull.py /^ expected_grad = Expected_1D_GP_bwd.pop(0)$/;" v +expected_output_for_cube tests/test_label_to_contour.py /^expected_output_for_cube = [$/;" v +expected_output_for_cube tests/test_label_to_contourd.py /^expected_output_for_cube = [$/;" v +expected_shape tests/test_complex_utils.py /^expected_shape = convert_data_type((2, 2, 2), torch.Tensor)[0]$/;" v +expected_shape tests/test_dynunet.py /^ expected_shape = (1, out_channels, *[in_size \/\/ strides[0]] * spatial_dims)$/;" v +expected_shape tests/test_dynunet.py /^ expected_shape = (1, out_channels, 64, 32, 64)$/;" v +expected_shape tests/test_upsample_block.py /^ expected_shape = (16, 5, 4 * s, 5 * s, 6 * s)$/;" v +expected_shape tests/test_upsample_block.py /^ expected_shape = (16, 5, 4 * s, 5 * s, 6 * s)$/;" v +expected_val tests/test_grid_pull.py /^ expected_val = Expected_1D_GP_fwd.pop(0)$/;" v +expeditedssl docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p +experi docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +experi docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +experienc docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +experiment docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +experiment-management-for-monai-bundle docs/build/html/whatsnew_1_1.html /^<section id="experiment-management-for-monai-bundle">$/;" I +experiment_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +experiment_param docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +experimentplann docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +expertis docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +explain docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +explain docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +explan docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +explicit docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +explicitli docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +explor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +explosion docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p +expon docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +exponenti docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +exponentiallr docs/build/html/optimizers.html /^<section id="exponentiallr">$/;" I +exponentiallr docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +exponentiallr (class in monai.optimizers) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +export docs/build/html/_modules/monai/utils/module.html /^<div class="viewcode-block" id="export">$/;" I +export docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +export monai/utils/module.py /^def export(modname):$/;" f +export() (in module monai.utils.module) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +export_bundle_algo_histori docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +export_bundle_algo_history docs/build/html/_modules/monai/apps/auto3dseg/utils.html /^<div class="viewcode-block" id="export_bundle_algo_history">$/;" I +export_bundle_algo_history monai/apps/auto3dseg/utils.py /^def export_bundle_algo_history(history: list[dict[str, BundleAlgo]]) -> None:$/;" f typeref:typename:None +export_bundle_algo_history() (in module monai.apps.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +export_cach docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +export_cache monai/apps/auto3dseg/auto_runner.py /^ def export_cache(self, **kwargs):$/;" m class:AutoRunner +export_cache() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +export_config_fil docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +export_config_file monai/bundle/config_parser.py /^ def export_config_file(cls, config: dict, filepath: PathLike, fmt: str = "json", **kwargs: A/;" m class:ConfigParser typeref:typename:None +export_config_file() (monai.bundle.configparser class method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +export_to_disk docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +export_to_disk monai/apps/auto3dseg/bundle_gen.py /^ def export_to_disk(self, output_path: str, algo_name: str, **kwargs: Any) -> None:$/;" m class:BundleAlgo typeref:typename:None +export_to_disk() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +export_validation_prob docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +expos docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +exposur docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +exposure monai/transforms/utils.py /^exposure, has_skimage = optional_import("skimage.exposure")$/;" v +express docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +express docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +ext docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +ext_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +extend docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +extend monai/metrics/metric.py /^ def extend(self, *data: Any) -> None:$/;" m class:Cumulative typeref:typename:None +extend() (monai.metrics.cumulative method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +extens docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +extens docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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id="generate_param_groups">$/;" I +generate_param_groups monai/optimizers/utils.py /^def generate_param_groups($/;" f typeref:typename:list[dict] +generate_param_groups() (in module monai.optimizers) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generate_pos_neg_label_crop_cent docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generate_pos_neg_label_crop_centers docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="generate_pos_neg_label_crop_centers">$/;" I +generate_pos_neg_label_crop_centers monai/transforms/utils.py /^def generate_pos_neg_label_crop_centers($/;" f typeref:typename:tuple[tuple] +generate_pos_neg_label_crop_centers() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generate_spatial_bounding_box docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="generate_spatial_bounding_box">$/;" I +generate_spatial_bounding_box docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generate_spatial_bounding_box monai/transforms/utils.py /^def generate_spatial_bounding_box($/;" f typeref:typename:tuple[list[int],list[int]] +generate_spatial_bounding_box() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generatedistancemap docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generatedistancemap (class in monai.apps.pathology.transforms.post.array) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generatedistancemapd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generatedistancemapd (class in monai.apps.pathology.transforms.post.dictionary) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generateinstancebord docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generateinstanceborder (class in monai.apps.pathology.transforms.post.array) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generateinstanceborderd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generateinstanceborderd (class in monai.apps.pathology.transforms.post.dictionary) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generateinstancecentroid docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generateinstancecentroid (class in monai.apps.pathology.transforms.post.array) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generateinstancecentroidd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generateinstancecentroidd (class in monai.apps.pathology.transforms.post.dictionary) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generateinstancecontour docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generateinstancecontour (class in monai.apps.pathology.transforms.post.array) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generateinstancecontourd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generateinstancecontourd (class in monai.apps.pathology.transforms.post.dictionary) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generateinstancetyp docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generateinstancetype (class in monai.apps.pathology.transforms.post.array) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generateinstancetyped (class in monai.apps.pathology.transforms.post.dictionary) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generatesuccinctcontour docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generatesuccinctcontour (class in monai.apps.pathology.transforms.post.array) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generatesuccinctcontourd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generatesuccinctcontourd (class in monai.apps.pathology.transforms.post.dictionary) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generatewatershedmark docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generatewatershedmarkers (class in monai.apps.pathology.transforms.post.array) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generatewatershedmarkersd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generatewatershedmarkersd (class in monai.apps.pathology.transforms.post.dictionary) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generatewatershedmask docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generatewatershedmask (class in monai.apps.pathology.transforms.post.array) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generatewatershedmaskd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generatewatershedmaskd (class in monai.apps.pathology.transforms.post.dictionary) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generativemodel docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +generator docs/build/html/networks.html /^<section id="generator">$/;" I +generator (class in monai.networks.nets) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +generator_loss tests/test_integration_workflows_gan.py /^ def generator_loss(gen_images):$/;" f function:run_training_test file: +generic-interfaces docs/build/html/data.html /^<section id="generic-interfaces">$/;" I +generic-interfaces docs/build/html/transforms.html /^<span id="generic-interfaces"><\/span><h2>Generic Interfaces<a class="headerlink" href="#module-/;" I +geometr docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" p variable:anonymousObject1fdeb0b60105 +get docs/build/html/_static/scripts/pydata-sphinx-theme.js /^(()=>{"use strict";var e,t,n,r,o={803:(e,t,n)=>{n.d(t,{Gu:()=>r,qu:()=>o});const r=e=>"string"==/;" p variable:anonymousObject3225a6220905 +get docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" m variable:anonymousObject809046f37e05 +get docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" m variable:anonymousObject809046f38005 +get docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" m variable:anonymousObject809046f3cb05 +get docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" m variable:anonymousObject809046f3cc05 +get docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" m variable:j.anonymousObject809046f36805 +get docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" m variable:m.anonymousObject809046f30805 +get docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" m variable:m.anonymousObject809046f32605 +get docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" m variable:m.anonymousObject809046f34405 +get docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:anonymousObject809046f3ca05 +get docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +get monai/bundle/config_parser.py /^ def get(self, id: str = "", default: Any | None = None) -> Any:$/;" m class:ConfigParser typeref:typename:Any +get monai/csrc/resample/bounds_common.h /^get(const scalar_t* ptr, offset_t offset, int8_t sign = static_cast<int8_t>(1)) {$/;" f namespace:monai::bound typeref:typename:MONAI_INLINE MONAI_DEVICE scalar_t +get() (monai.bundle.configparser method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get-pocket docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p +getDataAttributes docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" m variable:pe._e +getInstance docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" m class:pe.ve +getKeys monai/csrc/filtering/permutohedral/permutohedral_cpu.cpp /^ short* getKeys() {$/;" f class:HashTablePermutohedral typeref:typename:short * file: +getOrCreateInstance docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" m class:pe.ve +getValues monai/csrc/filtering/permutohedral/permutohedral_cpu.cpp /^ scalar_t* getValues() {$/;" f class:HashTablePermutohedral typeref:typename:scalar_t * file: +getWidth docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" m class:pe.hn +get_2d_slice monai/transforms/utils_create_transform_ims.py /^def get_2d_slice(image, view: int, is_label):$/;" f +get_act_lay docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_act_layer docs/build/html/_modules/monai/networks/layers/utils.html /^<div class="viewcode-block" id="get_act_layer">$/;" I +get_act_layer monai/networks/layers/utils.py /^def get_act_layer(name: tuple | str):$/;" f +get_act_layer() (in module monai.networks.layers.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_acti_layer monai/networks/nets/vnet.py /^def get_acti_layer(act: tuple[str, dict] | str, nchan: int = 0):$/;" f +get_active_config_file tests/test_handler_clearml_image.py /^get_active_config_file, has_get_active_config_file = optional_import($/;" v +get_active_config_file tests/test_handler_clearml_stats.py /^get_active_config_file, has_get_active_config_file = optional_import($/;" v +get_algo docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_algo monai/apps/auto3dseg/ensemble_builder.py /^ def get_algo(self, identifier):$/;" m class:AlgoEnsemble +get_algo() (monai.apps.auto3dseg.algoensemble method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_algo_ensembl docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_algo_ensemble monai/apps/auto3dseg/ensemble_builder.py /^ def get_algo_ensemble(self):$/;" m class:AlgoEnsemble +get_algo_ensemble() (monai.apps.auto3dseg.algoensemble method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_all_bundles_list docs/build/html/_modules/monai/bundle/scripts.html /^<div class="viewcode-block" id="get_all_bundles_list">$/;" I +get_all_bundles_list docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_all_bundles_list monai/bundle/scripts.py /^def get_all_bundles_list($/;" f typeref:typename:list[tuple[str,str]] +get_all_bundles_list() (in module monai.bundle) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_all_case_stat docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_all_case_stats monai/apps/auto3dseg/data_analyzer.py /^ def get_all_case_stats(self, key="training", transform_list=None):$/;" m class:DataAnalyzer +get_all_case_stats() (monai.apps.auto3dseg.dataanalyzer method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_alpha tests/test_blend_images.py /^def get_alpha(img):$/;" f +get_and_check_clang_format tests/clang_format_utils.py /^def get_and_check_clang_format():$/;" f +get_apply_param tests/lazy_transforms_utils.py /^def get_apply_param(init_param=None, call_param=None, params=apply_transforms_kwargs):$/;" f +get_arange_img tests/utils.py /^def get_arange_img(size, dtype=np.float32, offset=0):$/;" f +get_arr tests/croppers.py /^ def get_arr(shape):$/;" m class:CropTest +get_arr tests/padders.py /^ def get_arr(shape):$/;" m class:PadTest +get_arrai docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_array monai/data/meta_tensor.py /^ def get_array(self, output_type=np.ndarray, dtype=None, device=None, *_args, **_kwargs):$/;" m class:MetaTensor +get_array() (monai.data.metatensor method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_attribute_from_network monai/apps/detection/networks/retinanet_detector.py /^ def get_attribute_from_network(self, attr_name, default_value=None):$/;" m class:RetinaNetDetector +get_available_codecs monai/data/video_dataset.py /^ def get_available_codecs() -> dict[str, str]:$/;" m class:VideoFileDataset typeref:typename:dict[str,str] +get_avgpool monai/networks/nets/resnet.py /^def get_avgpool():$/;" f +get_bbox tests/test_generate_instance_centroid.py /^get_bbox = BoundingRect()$/;" v +get_bbox tests/test_generate_instance_centroidd.py /^get_bbox = BoundingRect()$/;" v +get_bbox tests/test_generate_instance_contour.py /^get_bbox = BoundingRect()$/;" v +get_bbox tests/test_generate_instance_contourd.py /^get_bbox = BoundingRect()$/;" v +get_binary_kernel monai/networks/layers/simplelayers.py /^def get_binary_kernel(window_size: Sequence[int], dtype=torch.float, device=None) -> torch.Tenso/;" f typeref:typename:torch.Tensor +get_block_args tests/test_efficientnet.py /^def get_block_args():$/;" f +get_bottleneck monai/networks/nets/dynunet.py /^ def get_bottleneck(self):$/;" m class:DynUNet +get_box_train_sample_per_imag docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_box_train_sample_per_image monai/apps/detection/networks/retinanet_detector.py /^ def get_box_train_sample_per_image($/;" m class:RetinaNetDetector typeref:typename:tuple[Tensor,Tensor] +get_box_train_sample_per_image() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_boxmod docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_boxmode docs/build/html/_modules/monai/data/box_utils.html /^<div class="viewcode-block" id="get_boxmode">$/;" I +get_boxmode monai/data/box_utils.py /^def get_boxmode(mode: str | BoxMode | type[BoxMode] | None = None, *args, **kwargs) -> BoxMode:$/;" f typeref:typename:BoxMode +get_boxmode() (in module monai.data.box_utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_budget docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_budget monai/auto3dseg/algo_gen.py /^ def get_budget(self, *args, **kwargs):$/;" m class:AlgoGen +get_budget() (monai.auto3dseg.algogen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_buff docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_buffer monai/metrics/metric.py /^ def get_buffer(self):$/;" m class:Cumulative +get_buffer() (monai.metrics.cumulative method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_bundle_info docs/build/html/_modules/monai/bundle/scripts.html /^<div class="viewcode-block" id="get_bundle_info">$/;" I +get_bundle_info docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_bundle_info monai/bundle/scripts.py /^def get_bundle_info($/;" f typeref:typename:dict[str,Any] +get_bundle_info() (in module monai.bundle) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_bundle_vers docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_bundle_versions docs/build/html/_modules/monai/bundle/scripts.html /^<div class="viewcode-block" id="get_bundle_versions">$/;" I +get_bundle_versions monai/bundle/scripts.py /^def get_bundle_versions($/;" f typeref:typename:dict[str,list[str]|str] +get_bundle_versions() (in module monai.bundle) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_cache monai/data/csv_saver.py /^ def get_cache(self) -> OrderedDict:$/;" m class:CSVSaver typeref:typename:OrderedDict +get_clickmap_boundingbox monai/apps/nuclick/transforms.py /^ def get_clickmap_boundingbox(self, img, cx, cy, x, y, bb=128):$/;" m class:AddClickSignalsd +get_cls_train_sample_per_imag docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_cls_train_sample_per_image monai/apps/detection/networks/retinanet_detector.py /^ def get_cls_train_sample_per_image($/;" m class:RetinaNetDetector typeref:typename:tuple[Tensor,Tensor] +get_cls_train_sample_per_image() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_cmdclass versioneer.py /^def get_cmdclass(cmdclass=None):$/;" f +get_cmds setup.py /^def get_cmds():$/;" f +get_code_to_measure_t docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_code_to_measure_table docs/build/html/_modules/monai/metrics/utils.html /^<div class="viewcode-block" id="get_code_to_measure_table">$/;" I +get_code_to_measure_table monai/metrics/utils.py /^def get_code_to_measure_table(spacing, device=None):$/;" f +get_code_to_measure_table() (in module monai.metrics.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_component_module_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_component_module_name monai/bundle/config_item.py /^ def get_component_module_name(self, name: str) -> list[str] | str | None:$/;" m class:ComponentLocator typeref:typename:list[str]|str|None +get_component_module_name() (monai.bundle.componentlocator method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_config docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_config monai/_version.py /^def get_config():$/;" f +get_config monai/bundle/config_item.py /^ def get_config(self):$/;" m class:ConfigItem +get_config() (monai.bundle.configitem method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_config_from_root versioneer.py /^def get_config_from_root(root):$/;" f +get_config_values monai/config/deviceconfig.py /^def get_config_values():$/;" f +get_confusion_matrix docs/build/html/_modules/monai/metrics/confusion_matrix.html /^<div class="viewcode-block" id="get_confusion_matrix">$/;" I +get_confusion_matrix docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_confusion_matrix monai/metrics/confusion_matrix.py /^def get_confusion_matrix(y_pred: torch.Tensor, y: torch.Tensor, include_background: bool = True)/;" f typeref:typename:torch.Tensor +get_confusion_matrix() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_constructor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_constructor monai/networks/layers/factories.py /^ def get_constructor(self, factory_name: str, *args) -> Any:$/;" m class:LayerFactory typeref:typename:Any +get_constructor() (monai.networks.layers.layerfactory method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_conv_block monai/networks/blocks/localnet_block.py /^def get_conv_block($/;" f typeref:typename:nn.Module +get_conv_block monai/networks/blocks/regunet_block.py /^def get_conv_block($/;" f typeref:typename:nn.Module +get_conv_layer monai/networks/blocks/dynunet_block.py /^def get_conv_layer($/;" f +get_conv_layer monai/networks/blocks/localnet_block.py /^def get_conv_layer($/;" f typeref:typename:nn.Module +get_conv_layer monai/networks/blocks/regunet_block.py /^def get_conv_layer($/;" f typeref:typename:nn.Module +get_conv_layer monai/networks/blocks/segresnet_block.py /^def get_conv_layer($/;" f +get_count docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_counts monai/inferers/merger.py /^ def get_counts(self) -> torch.Tensor:$/;" m class:AvgMerger typeref:typename:torch.Tensor +get_counts monai/inferers/merger.py /^ def get_counts(self) -> zarr.Array:$/;" m class:ZarrAvgMerger typeref:typename:zarr.Array +get_counts() (monai.inferers.avgmerger method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_counts() (monai.inferers.zarravgmerger method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_curr docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_current monai/metrics/cumulative_average.py /^ def get_current(self, to_numpy: bool = True) -> NdarrayOrTensor:$/;" m class:CumulativeAverage typeref:typename:NdarrayOrTensor +get_current() (monai.metrics.cumulativeaverage method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_data monai/apps/reconstruction/fastmri_reader.py /^ def get_data(self, dat: dict) -> tuple[ndarray, dict]:$/;" m class:FastMRIReader typeref:typename:tuple[ndarray,dict] +get_data monai/data/image_reader.py /^ def get_data(self, data) -> tuple[np.ndarray, dict]:$/;" m class:PydicomReader typeref:typename:tuple[np.ndarray,dict] +get_data monai/data/image_reader.py /^ def get_data(self, img) -> tuple[np.ndarray, dict]:$/;" m class:ITKReader typeref:typename:tuple[np.ndarray,dict] +get_data monai/data/image_reader.py /^ def get_data(self, img) -> tuple[np.ndarray, dict]:$/;" m class:ImageReader typeref:typename:tuple[np.ndarray,dict] +get_data monai/data/image_reader.py /^ def get_data(self, img) -> tuple[np.ndarray, dict]:$/;" m class:NibabelReader typeref:typename:tuple[np.ndarray,dict] +get_data monai/data/image_reader.py /^ def get_data(self, img) -> tuple[np.ndarray, dict]:$/;" m class:NumpyReader typeref:typename:tuple[np.ndarray,dict] +get_data monai/data/image_reader.py /^ def get_data(self, img) -> tuple[np.ndarray, dict]:$/;" m class:PILReader typeref:typename:tuple[np.ndarray,dict] +get_data monai/data/image_reader.py /^ def get_data(self, img: NrrdImage | list[NrrdImage]) -> tuple[np.ndarray, dict]:$/;" m class:NrrdReader typeref:typename:tuple[np.ndarray,dict] +get_data monai/data/wsi_reader.py /^ def get_data($/;" m class:BaseWSIReader typeref:typename:tuple[np.ndarray,dict] +get_data monai/transforms/utils_create_transform_ims.py /^def get_data(keys):$/;" f +get_data tests/test_fourier.py /^ def get_data(img_shape):$/;" m class:TestFourier +get_data tests/test_gibbs_noise.py /^ def get_data(im_shape, input_type):$/;" m class:TestGibbsNoise +get_data tests/test_gibbs_noised.py /^ def get_data(im_shape, input_type):$/;" m class:TestGibbsNoised +get_data tests/test_k_space_spike_noise.py /^ def get_data(im_shape, im_type):$/;" m class:TestKSpaceSpikeNoise +get_data tests/test_k_space_spike_noised.py /^ def get_data(im_shape, im_type):$/;" m class:TestKSpaceSpikeNoised +get_data tests/test_load_image.py /^ def get_data(self, _obj):$/;" m class:_MiniReader +get_data tests/test_rand_gibbs_noise.py /^ def get_data(im_shape, input_type):$/;" m class:TestRandGibbsNoise +get_data tests/test_rand_gibbs_noised.py /^ def get_data(im_shape, input_type):$/;" m class:TestRandGibbsNoised +get_data tests/test_rand_k_space_spike_noise.py /^ def get_data(im_shape, im_type):$/;" m class:TestRandKSpaceSpikeNoise +get_data tests/test_rand_k_space_spike_noised.py /^ def get_data(im_shape, im_type):$/;" m class:TestKSpaceSpikeNoised +get_data tests/test_rand_weighted_crop.py /^def get_data(ndim):$/;" f +get_data tests/test_rand_weighted_cropd.py /^def get_data(ndim):$/;" f +get_data tests/test_testtimeaugmentation.py /^ def get_data(num_examples, input_size, data_type=np.asarray, include_label=True):$/;" m class:TestTestTimeAugmentation +get_data() (monai.apps.reconstruction.fastmri_reader.fastmrireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data() (monai.data.imagereader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data() (monai.data.itkreader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data() (monai.data.nibabelreader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data() (monai.data.nrrdreader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data() (monai.data.numpyreader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data() (monai.data.pilreader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data_src docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_data_src monai/apps/auto3dseg/bundle_gen.py /^ def get_data_src(self):$/;" m class:BundleGen +get_data_src() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data_stat docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_data_stats monai/apps/auto3dseg/bundle_gen.py /^ def get_data_stats(self):$/;" m class:BundleGen +get_data_stats monai/auto3dseg/algo_gen.py /^ def get_data_stats(self, *args, **kwargs):$/;" m class:AlgoGen +get_data_stats monai/fl/client/client_algo.py /^ def get_data_stats(self, extra: dict | None = None) -> ExchangeObject:$/;" m class:ClientAlgoStats typeref:typename:ExchangeObject +get_data_stats monai/fl/client/monai_algo.py /^ def get_data_stats(self, extra: dict | None = None) -> ExchangeObject:$/;" m class:MonaiAlgoStats typeref:typename:ExchangeObject +get_data_stats() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data_stats() (monai.auto3dseg.algogen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data_stats() (monai.fl.client.clientalgostats method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_data_stats() (monai.fl.client.monaialgostats method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_dataset docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_dataset monai/apps/datasets.py /^ def get_dataset(self, folds: Sequence[int] | int, **dataset_params: Any) -> object:$/;" m class:CrossValidation typeref:typename:object +get_dataset() (monai.apps.crossvalidation method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_deconv_block monai/networks/blocks/localnet_block.py /^def get_deconv_block(spatial_dims: int, in_channels: int, out_channels: int) -> nn.Module:$/;" f typeref:typename:nn.Module +get_deconv_block monai/networks/blocks/regunet_block.py /^def get_deconv_block(spatial_dims: int, in_channels: int, out_channels: int) -> nn.Module:$/;" f typeref:typename:nn.Module +get_deep_supervision_heads monai/networks/nets/dynunet.py /^ def get_deep_supervision_heads(self):$/;" m class:DynUNet +get_default_affin docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_default_affine monai/data/meta_tensor.py /^ def get_default_affine(dtype=torch.float64) -> torch.Tensor:$/;" m class:MetaTensor typeref:typename:torch.Tensor +get_default_applied_oper docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_default_applied_operations monai/data/meta_obj.py /^ def get_default_applied_operations() -> list:$/;" m class:MetaObj typeref:typename:list +get_default_applied_operations() (monai.data.meta_obj.metaobj static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_default_meta docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_default_meta monai/data/meta_obj.py /^ def get_default_meta() -> dict:$/;" m class:MetaObj typeref:typename:dict +get_default_meta() (monai.data.meta_obj.metaobj static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_default_pattern tests/runner.py /^def get_default_pattern(loader):$/;" f +get_devices_spec docs/build/html/_modules/monai/engines/utils.html /^<div class="viewcode-block" id="get_devices_spec">$/;" I +get_devices_spec docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_devices_spec monai/engines/utils.py /^def get_devices_spec(devices: Sequence[torch.device | str] | None = None) -> list[torch.device]:$/;" f typeref:typename:list[torch.device] +get_devices_spec() (in module monai.engines.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_dir docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_dist_devic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_dist_device docs/build/html/_modules/monai/utils/dist.html /^<div class="viewcode-block" id="get_dist_device">$/;" I +get_dist_device monai/utils/dist.py /^def get_dist_device():$/;" f +get_dist_device() (in module monai.utils.dist) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_downsample_ratio docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_downsample_ratio monai/data/wsi_reader.py /^ def get_downsample_ratio(self, wsi, level: int) -> float:$/;" m class:BaseWSIReader typeref:typename:float +get_downsample_ratio monai/data/wsi_reader.py /^ def get_downsample_ratio(self, wsi, level: int) -> float:$/;" m class:CuCIMWSIReader typeref:typename:float +get_downsample_ratio monai/data/wsi_reader.py /^ def get_downsample_ratio(self, wsi, level: int) -> float:$/;" m class:OpenSlideWSIReader typeref:typename:float +get_downsample_ratio monai/data/wsi_reader.py /^ def get_downsample_ratio(self, wsi, level: int) -> float:$/;" m class:TiffFileWSIReader typeref:typename:float +get_downsample_ratio monai/data/wsi_reader.py /^ def get_downsample_ratio(self, wsi, level: int) -> float:$/;" m class:WSIReader typeref:typename:float +get_downsample_ratio() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_downsample_ratio() (monai.data.cucimwsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_downsample_ratio() (monai.data.openslidewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_downsample_ratio() (monai.data.tifffilewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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monai/utils/type_conversion.py /^def get_dtype_bound_value(dtype: DtypeLike | torch.dtype) -> tuple[float, float]:$/;" f typeref:typename:tuple[float,float] +get_edge_surface_distance monai/metrics/utils.py /^def get_edge_surface_distance($/;" f typeref:typename:tuple[tuple[torch.Tensor,torch.Tensor],tuple[torch.Tensor,torch.Tensor]|tuple[torch.Tensor],tuple[torch.Tensor,torch.Tensor]|tuple[()],] +get_efficientnet_image_s docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_efficientnet_image_size monai/networks/nets/efficientnet.py /^def get_efficientnet_image_size(model_name: str) -> int:$/;" f typeref:typename:int +get_encoder_names monai/networks/blocks/encoder.py /^ def get_encoder_names(cls) -> list[str]:$/;" m class:BaseEncoder typeref:typename:list[str] +get_encoder_names monai/networks/nets/efficientnet.py /^ def get_encoder_names(cls) -> list[str]:$/;" m class:EfficientNetEncoder typeref:typename:list[str] +get_encoder_names tests/test_flexible_unet.py /^ def get_encoder_names(cls):$/;" m class:DummyEncoder +get_encoder_names tests/test_flexible_unet.py /^ def get_encoder_names(cls):$/;" m class:ResNetEncoder +get_encoder_parameters monai/networks/blocks/encoder.py /^ def get_encoder_parameters(cls) -> list[dict]:$/;" m class:BaseEncoder typeref:typename:list[dict] +get_encoder_parameters monai/networks/nets/efficientnet.py /^ def get_encoder_parameters(cls) -> list[dict]:$/;" m class:EfficientNetEncoder typeref:typename:list[dict] +get_encoder_parameters tests/test_flexible_unet.py /^ def get_encoder_parameters(cls) -> list[dict]:$/;" m class:ResNetEncoder typeref:typename:list[dict] +get_encoder_parameters tests/test_flexible_unet.py /^ def get_encoder_parameters(cls):$/;" m class:DummyEncoder +get_ensembl docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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/^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_event monai/handlers/nvtx_handlers.py /^ def get_event(self, event: str | Events) -> Events:$/;" m class:RangeHandler typeref:typename:Events +get_event_filter tests/test_handler_mlflow.py /^def get_event_filter(e):$/;" f +get_event_filter tests/test_handler_stats.py /^def get_event_filter(e):$/;" f +get_event_filter tests/test_handler_tb_stats.py /^def get_event_filter(e):$/;" f +get_expected_model_shape tests/test_efficientnet.py /^def get_expected_model_shape(model_name):$/;" f +get_extensions setup.py /^def get_extensions():$/;" f +get_extra_metadata_kei docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_extra_metadata_keys docs/build/html/_modules/monai/data/utils.html /^<div class="viewcode-block" id="get_extra_metadata_keys">$/;" I +get_extra_metadata_keys monai/data/utils.py /^def get_extra_metadata_keys() -> list[str]:$/;" f typeref:typename:list[str] +get_extra_metadata_keys() (in module monai.data.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_extreme_point docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_extreme_points docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="get_extreme_points">$/;" I +get_extreme_points monai/transforms/utils.py /^def get_extreme_points($/;" f typeref:typename:list[tuple[int,...]] +get_extreme_points() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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typeref:typename:str +get_file_path monai/data/wsi_reader.py /^ def get_file_path(wsi) -> str:$/;" m class:OpenSlideWSIReader typeref:typename:str +get_file_path monai/data/wsi_reader.py /^ def get_file_path(wsi) -> str:$/;" m class:TiffFileWSIReader typeref:typename:str +get_file_path() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_file_path() (monai.data.cucimwsireader static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_file_path() (monai.data.openslidewsireader static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries 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monai.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_foreground_label docs/build/html/_modules/monai/auto3dseg/utils.html /^<div class="viewcode-block" id="get_foreground_label">$/;" I +get_foreground_label docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_foreground_label monai/auto3dseg/utils.py /^def get_foreground_label(image: MetaTensor, label: MetaTensor) -> MetaTensor:$/;" f typeref:typename:MetaTensor +get_foreground_label() (in module monai.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_fps monai/data/video_dataset.py /^ def get_fps(self) -> int:$/;" m class:VideoDataset typeref:typename:int +get_frame monai/data/video_dataset.py /^ def get_frame(self) -> Any:$/;" m class:VideoDataset typeref:typename:Any +get_full_type_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_full_type_name docs/build/html/_modules/monai/utils/module.html /^<div class="viewcode-block" id="get_full_type_name">$/;" I +get_full_type_name monai/utils/module.py /^def get_full_type_name(typeobj):$/;" f +get_full_type_name() (in module monai.utils.module) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_fully_sampled_region docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_fully_sampled_region monai/apps/reconstruction/networks/nets/coil_sensitivity_model.py /^ def get_fully_sampled_region(self, mask: Tensor) -> tuple[int, int]:$/;" m class:CoilSensitivityModel typeref:typename:tuple[int,int] +get_fully_sampled_region() (monai.apps.reconstruction.networks.nets.coil_sensitivity_model.coilsensitivitymodel method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_gpu_info monai/config/deviceconfig.py /^def get_gpu_info() -> OrderedDict:$/;" f typeref:typename:OrderedDict +get_grad monai/visualize/gradient_based.py /^ def get_grad($/;" m class:VanillaGrad typeref:typename:torch.Tensor +get_graph_node_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_graph_node_names monai/networks/nets/netadapter.py /^get_graph_node_names, _has_utils = optional_import("torchvision.models.feature_extraction", name/;" v +get_histori docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_history monai/apps/auto3dseg/bundle_gen.py /^ def get_history(self) -> list:$/;" m class:BundleGen typeref:typename:list +get_history monai/auto3dseg/algo_gen.py /^ def get_history(self, *args, **kwargs):$/;" m class:AlgoGen +get_history() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_history() (monai.auto3dseg.algogen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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property:anonymousObject06adab590105.indexentries +get_hyperparameters() (monai.apps.auto3dseg.optunagen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_id docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_id monai/bundle/config_item.py /^ def get_id(self) -> str:$/;" m class:ConfigItem typeref:typename:str +get_id() (monai.bundle.configitem method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_identity_grid docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_identity_grid monai/transforms/spatial/array.py /^ def get_identity_grid(self, spatial_size: Sequence[int], lazy: bool):$/;" m class:RandAffine +get_identity_grid() (monai.transforms.randaffine method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_im tests/test_meta_tensor.py /^ def get_im(shape=None, dtype=None, device=None):$/;" m class:TestMetaTensor +get_im tests/test_to_from_meta_tensord.py /^ def get_im(shape=None, dtype=None, device=None):$/;" m class:TestToFromMetaTensord +get_image tests/test_inverse_array.py /^ def get_image(dtype, device) -> MetaTensor:$/;" m class:TestInverseArray typeref:typename:MetaTensor +get_images monai/transforms/utils_create_transform_ims.py /^def get_images(data, is_label=False):$/;" f +get_index_of_first docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_index_of_first monai/transforms/compose.py /^ def get_index_of_first(self, predicate):$/;" m class:Compose +get_index_of_first() (monai.transforms.compose method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_indic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_indices monai/apps/datasets.py /^ def get_indices(self) -> np.ndarray:$/;" m class:DecathlonDataset typeref:typename:np.ndarray +get_indices monai/apps/datasets.py /^ def get_indices(self) -> np.ndarray:$/;" m class:TciaDataset typeref:typename:np.ndarray +get_indices() (monai.apps.decathlondataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_indices() (monai.apps.tciadataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_infer docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_inferer monai/apps/auto3dseg/bundle_gen.py /^ def get_inferer(self, *args, **kwargs):$/;" m class:BundleAlgo +get_inferer() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_inplan docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_inplanes monai/networks/nets/resnet.py /^def get_inplanes():$/;" f +get_inplanes tests/test_flexible_unet.py /^ def get_inplanes():$/;" m class:ResNetEncoder +get_input tests/test_adversarial_loss.py /^ def get_input(self, shape, is_positive):$/;" m class:TestPatchAdversarialLoss +get_input_block monai/networks/nets/dynunet.py /^ def get_input_block(self):$/;" m class:DynUNet +get_input_shap docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_input_shape monai/inferers/splitter.py /^ def get_input_shape(self, inputs: Any) -> tuple:$/;" m class:SlidingWindowSplitter typeref:typename:tuple +get_input_shape monai/inferers/splitter.py /^ def get_input_shape(self, inputs: Any) -> tuple:$/;" m class:Splitter typeref:typename:tuple +get_input_shape monai/inferers/splitter.py /^ def get_input_shape(self, inputs: Any) -> tuple:$/;" m class:WSISlidingWindowSplitter typeref:typename:tuple +get_input_shape() (monai.inferers.slidingwindowsplitter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_input_shape() (monai.inferers.splitter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_input_shape() (monai.inferers.wsislidingwindowsplitter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_iou_thresholds monai/apps/detection/metrics/coco.py /^ def get_iou_thresholds(self) -> Sequence[float]:$/;" m class:COCOMetric typeref:typename:Sequence[float] +get_item docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_item monai/bundle/reference_resolver.py /^ def get_item(self, id: str, resolve: bool = False, **kwargs: Any) -> ConfigItem | None:$/;" m class:ReferenceResolver typeref:typename:ConfigItem|None +get_item() (monai.bundle.referenceresolver method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_itk_image_cent docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_itk_image_center docs/build/html/_modules/monai/data/itk_torch_bridge.html /^<div class="viewcode-block" id="get_itk_image_center">$/;" I +get_itk_image_center monai/data/itk_torch_bridge.py /^def get_itk_image_center(image):$/;" f +get_itk_image_center() (in module monai.data.itk_torch_bridge) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_kernel_vol monai/losses/image_dissimilarity.py /^ def get_kernel_vol(self):$/;" m class:LocalNormalizedCrossCorrelationLoss +get_keywords monai/_version.py /^def get_keywords():$/;" f +get_label_ccp docs/build/html/_modules/monai/auto3dseg/utils.html /^<div class="viewcode-block" id="get_label_ccp">$/;" I +get_label_ccp docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_label_ccp monai/auto3dseg/utils.py /^def get_label_ccp(mask_index: MetaTensor, use_gpu: bool = True) -> tuple[list[Any], int]:$/;" f typeref:typename:tuple[list[Any],int] +get_label_ccp() (in module monai.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_label_rgb monai/visualize/utils.py /^ def get_label_rgb(cmap: str, label: NdarrayOrTensor) -> NdarrayOrTensor:$/;" f function:blend_images typeref:typename:NdarrayOrTensor file: +get_largest_connected_component_mask docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="get_largest_connected_component_mask">$/;" I +get_largest_connected_component_mask docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_largest_connected_component_mask monai/transforms/utils.py /^def get_largest_connected_component_mask($/;" f typeref:typename:NdarrayTensor +get_largest_connected_component_mask() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_last_lr docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_lay docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_layer monai/visualize/class_activation_maps.py /^ def get_layer(self, layer_id: str | Callable[[nn.Module], nn.Module]) -> nn.Module:$/;" m class:ModelWithHooks typeref:typename:nn.Module +get_layer() (monai.visualize.class_activation_maps.modelwithhooks method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_level_count docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_level_count monai/data/wsi_reader.py /^ def get_level_count(self, wsi) -> int:$/;" m class:BaseWSIReader typeref:typename:int +get_level_count monai/data/wsi_reader.py /^ def get_level_count(self, wsi) -> int:$/;" m class:WSIReader typeref:typename:int +get_level_count monai/data/wsi_reader.py /^ def get_level_count(wsi) -> int:$/;" m class:CuCIMWSIReader typeref:typename:int +get_level_count monai/data/wsi_reader.py /^ def get_level_count(wsi) -> int:$/;" m class:OpenSlideWSIReader typeref:typename:int +get_level_count monai/data/wsi_reader.py /^ def get_level_count(wsi) -> int:$/;" m class:TiffFileWSIReader typeref:typename:int +get_level_count() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_level_count() (monai.data.cucimwsireader static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_level_count() (monai.data.openslidewsireader static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_level_count() (monai.data.tifffilewsireader static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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property:anonymousObject06adab590105.indexentries +get_lr monai/optimizers/lr_scheduler.py /^ def get_lr(self):$/;" m class:ExponentialLR +get_lr monai/optimizers/lr_scheduler.py /^ def get_lr(self):$/;" m class:LinearLR +get_lr monai/optimizers/lr_scheduler.py /^ def get_lr(self):$/;" m class:WarmupCosineSchedule +get_lrs_and_loss docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_lrs_and_losses monai/optimizers/lr_finder.py /^ def get_lrs_and_losses(self, skip_start: int = 0, skip_end: int = 0) -> tuple[list, list]:$/;" m class:LearningRateFinder typeref:typename:tuple[list,list] +get_lrs_and_losses() (monai.optimizers.learningratefinder method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_mask_edg docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_mask_edges docs/build/html/_modules/monai/metrics/utils.html /^<div class="viewcode-block" id="get_mask_edges">$/;" I +get_mask_edges monai/metrics/utils.py /^def get_mask_edges($/;" f typeref:typename:tuple[NdarrayTensor,NdarrayTensor] +get_mask_edges() (in module monai.metrics.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_max_roi_size monai/transforms/croppad/array.py /^ def get_max_roi_size(self, img_size):$/;" m class:RandScaleCrop +get_medicalnet_pretrained_resnet_args monai/networks/nets/resnet.py /^def get_medicalnet_pretrained_resnet_args(resnet_depth: int):$/;" f +get_meta_file monai/bundle/workflows.py /^ def get_meta_file(self):$/;" m class:BundleWorkflow +get_meta_info docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_meta_info monai/data/image_writer.py /^ def get_meta_info(cls, metadata: Mapping | None = None):$/;" m class:ImageWriter +get_meta_info monai/data/image_writer.py /^ def get_meta_info(cls, metadata: Mapping | None = None):$/;" m class:PILWriter +get_meta_info() (monai.data.imagewriter class method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_meta_info() (monai.data.pilwriter class method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_mlflow_experiment_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_mlflow_experiment_name monai/apps/auto3dseg/bundle_gen.py /^ def get_mlflow_experiment_name(self):$/;" m class:BundleGen +get_mlflow_experiment_name() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_mlflow_tracking_uri docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_mlflow_tracking_uri monai/apps/auto3dseg/bundle_gen.py /^ def get_mlflow_tracking_uri(self):$/;" m class:BundleGen +get_mlflow_tracking_uri() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_model_names tests/test_efficientnet.py /^def get_model_names():$/;" f +get_model_names tests/test_flexible_unet.py /^def get_model_names():$/;" f +get_model_spec monai/apps/mmars/mmars.py /^def get_model_spec(idx: int | str) -> dict | Any:$/;" f typeref:typename:dict|Any +get_module_list monai/networks/nets/dynunet.py /^ def get_module_list($/;" m class:DynUNet +get_most_recent_transform docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_most_recent_transform monai/transforms/inverse.py /^ def get_most_recent_transform(self, data, key: Hashable = None, check: bool = True, pop: boo/;" m class:TraceableTransform +get_most_recent_transform() (monai.transforms.traceabletransform method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_mpp docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_mpp monai/data/wsi_reader.py /^ def get_mpp(self, wsi, level: int) -> tuple[float, float]:$/;" m class:BaseWSIReader typeref:typename:tuple[float,float] +get_mpp monai/data/wsi_reader.py /^ def get_mpp(self, wsi, level: int) -> tuple[float, float]:$/;" m class:CuCIMWSIReader typeref:typename:tuple[float,float] +get_mpp monai/data/wsi_reader.py /^ def get_mpp(self, wsi, level: int) -> tuple[float, float]:$/;" m class:OpenSlideWSIReader typeref:typename:tuple[float,float] +get_mpp monai/data/wsi_reader.py /^ def get_mpp(self, wsi, level: int) -> tuple[float, float]:$/;" m class:TiffFileWSIReader typeref:typename:tuple[float,float] +get_mpp monai/data/wsi_reader.py /^ def get_mpp(self, wsi, level: int) -> tuple[float, float]:$/;" m class:WSIReader typeref:typename:tuple[float,float] +get_mpp() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_mpp() (monai.data.cucimwsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_mpp() (monai.data.openslidewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_mpp() (monai.data.tifffilewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_mpp() (monai.data.wsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_name monai/data/box_utils.py /^ def get_name(cls, spatial_dims: int) -> str:$/;" m class:BoxMode typeref:typename:str +get_name() (monai.data.box_utils.boxmode class method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_name_from_algo_id docs/build/html/_modules/monai/apps/auto3dseg/utils.html /^<div class="viewcode-block" id="get_name_from_algo_id">$/;" I +get_name_from_algo_id docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_name_from_algo_id monai/apps/auto3dseg/utils.py /^def get_name_from_algo_id(id: str) -> str:$/;" f typeref:typename:str +get_name_from_algo_id() (in module monai.apps.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_norm_lay docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_norm_layer docs/build/html/_modules/monai/networks/layers/utils.html /^<div class="viewcode-block" id="get_norm_layer">$/;" I +get_norm_layer monai/networks/layers/utils.py /^def get_norm_layer(name: tuple | str, spatial_dims: int | None = 1, channels: int | None = 1):$/;" f +get_norm_layer() (in module monai.networks.layers.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_not_nan docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_num_class docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_num_classes monai/apps/datasets.py /^ def get_num_classes(self) -> int:$/;" m class:MedNISTDataset typeref:typename:int +get_num_classes() (monai.apps.mednistdataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_num_devic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_num_devices monai/data/video_dataset.py /^ def get_num_devices() -> int:$/;" m class:CameraDataset typeref:typename:int +get_num_frames monai/data/video_dataset.py /^ def get_num_frames(self) -> int:$/;" m class:VideoFileDataset typeref:typename:int +get_num_modules tests/test_replace_module.py /^ def get_num_modules(self, mod: type[torch.nn.Module] | None = None) -> int:$/;" m class:TestReplaceModule typeref:typename:int +get_num_neg docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_num_neg monai/apps/detection/utils/hard_negative_sampler.py /^ def get_num_neg(self, negative: torch.Tensor, num_pos: int) -> int:$/;" m class:HardNegativeSampler typeref:typename:int +get_num_neg() (monai.apps.detection.utils.hard_negative_sampler.hardnegativesampler method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_num_po docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_num_pos monai/apps/detection/utils/hard_negative_sampler.py /^ def get_num_pos(self, positive: torch.Tensor) -> int:$/;" m class:HardNegativeSampler typeref:typename:int +get_num_pos() (monai.apps.detection.utils.hard_negative_sampler.hardnegativesampler method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_number_image_type_convers docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_number_image_type_conversions docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="get_number_image_type_conversions">$/;" I +get_number_image_type_conversions monai/transforms/utils.py /^def get_number_image_type_conversions(transform: Compose, test_data: Any, key: Hashable | None =/;" f typeref:typename:int +get_number_image_type_conversions() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_numpy_dtype_from_str docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_numpy_dtype_from_string docs/build/html/_modules/monai/utils/type_conversion.html /^<div class="viewcode-block" id="get_numpy_dtype_from_string">$/;" I +get_numpy_dtype_from_string monai/utils/type_conversion.py /^def get_numpy_dtype_from_string(dtype: str) -> np.dtype:$/;" f typeref:typename:np.dtype +get_numpy_dtype_from_string() (in module monai.utils.type_conversion) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_obj_filenam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_obj_filename monai/apps/auto3dseg/hpo_gen.py /^ def get_obj_filename(self):$/;" m class:NNIGen +get_obj_filename monai/apps/auto3dseg/hpo_gen.py /^ def get_obj_filename(self):$/;" m class:OptunaGen +get_obj_filename() (monai.apps.auto3dseg.nnigen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_obj_filename() (monai.apps.auto3dseg.optunagen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_optional_config_values monai/config/deviceconfig.py /^def get_optional_config_values():$/;" f +get_output docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_output monai/inferers/merger.py /^ def get_output(self) -> torch.Tensor:$/;" m class:AvgMerger typeref:typename:torch.Tensor +get_output monai/inferers/merger.py /^ def get_output(self) -> zarr.Array:$/;" m class:ZarrAvgMerger typeref:typename:zarr.Array +get_output() (monai.inferers.avgmerger method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_output() (monai.inferers.zarravgmerger method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_output_block monai/networks/nets/dynunet.py /^ def get_output_block(self, idx: int):$/;" m class:DynUNet +get_output_padding monai/networks/blocks/dynunet_block.py /^def get_output_padding($/;" f typeref:typename:tuple[int,...]|int +get_output_path docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_output_path monai/apps/auto3dseg/bundle_gen.py /^ def get_output_path(self):$/;" m class:BundleAlgo +get_output_path monai/auto3dseg/algo_gen.py /^ def get_output_path(self, *args, **kwargs):$/;" m class:Algo +get_output_path() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_output_path() (monai.auto3dseg.algo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_package_vers docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_package_version docs/build/html/_modules/monai/utils/module.html /^<div class="viewcode-block" id="get_package_version">$/;" I +get_package_version monai/utils/module.py /^def get_package_version(dep_name, default="NOT INSTALLED or UNKNOWN VERSION."):$/;" f +get_package_version() (in module monai.utils.module) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_padded_shap docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_padded_shape monai/inferers/splitter.py /^ def get_padded_shape(self, inputs: Any) -> tuple:$/;" m class:SlidingWindowSplitter typeref:typename:tuple +get_padded_shape monai/inferers/splitter.py /^ def get_padded_shape(self, inputs: Any) -> tuple:$/;" m class:Splitter typeref:typename:tuple +get_padded_shape() (monai.inferers.slidingwindowsplitter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_padded_shape() (monai.inferers.splitter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_padding monai/networks/blocks/dynunet_block.py /^def get_padding(kernel_size: Sequence[int] | int, stride: Sequence[int] | int) -> tuple[int, .../;" f typeref:typename:tuple[int,...]|int +get_parsed_cont docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_parsed_content monai/bundle/config_parser.py /^ def get_parsed_content(self, id: str = "", **kwargs: Any) -> Any:$/;" m class:ConfigParser typeref:typename:Any +get_parsed_content() (monai.bundle.configparser method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_patches_and_signals monai/apps/nuclick/transforms.py /^ def get_patches_and_signals(self, img, click_map, bounding_boxes, cx, cy, x, y):$/;" m class:AddClickSignalsd +get_pool_lay docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_pool_layer docs/build/html/_modules/monai/networks/layers/utils.html /^<div class="viewcode-block" id="get_pool_layer">$/;" I +get_pool_layer monai/networks/layers/utils.py /^def get_pool_layer(name: tuple | str, spatial_dims: int | None = 1):$/;" f +get_pool_layer() (in module monai.networks.layers.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_pow docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_power monai/data/wsi_reader.py /^ def get_power(self, wsi, level: int) -> float:$/;" m class:BaseWSIReader typeref:typename:float +get_power monai/data/wsi_reader.py /^ def get_power(self, wsi, level: int) -> float:$/;" m class:CuCIMWSIReader typeref:typename:float +get_power monai/data/wsi_reader.py /^ def get_power(self, wsi, level: int) -> float:$/;" m class:OpenSlideWSIReader typeref:typename:float +get_power monai/data/wsi_reader.py /^ def get_power(self, wsi, level: int) -> float:$/;" m class:TiffFileWSIReader typeref:typename:float +get_power monai/data/wsi_reader.py /^ def get_power(self, wsi, level: int) -> float:$/;" m class:WSIReader typeref:typename:float +get_power() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_power() (monai.data.cucimwsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_power() (monai.data.openslidewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_power() (monai.data.tifffilewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_power() (monai.data.wsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_pretrained_resnet_medicalnet monai/networks/nets/resnet.py /^def get_pretrained_resnet_medicalnet(resnet_depth: int, device: str = "cpu", datasets23: bool = /;" f +get_prob_a docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_prob_a monai/networks/nets/dints.py /^ def get_prob_a(self, child: bool = False):$/;" m class:TopologySearch +get_prob_a() (monai.networks.nets.topologysearch method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_properti docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_properties monai/apps/datasets.py /^ def get_properties(self, keys: Sequence[str] | str | None = None) -> dict:$/;" m class:DecathlonDataset typeref:typename:dict +get_properties() (monai.apps.decathlondataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_ram_cost_usag docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_ram_cost_usage monai/networks/nets/dints.py /^ def get_ram_cost_usage(self, in_size, full: bool = False):$/;" m class:TopologySearch +get_ram_cost_usage() (monai.networks.nets.topologysearch method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_rand_fname tests/test_resample_to_match.py /^def get_rand_fname(len=10, suffix=".nii.gz"):$/;" f +get_random_patch docs/build/html/_modules/monai/data/utils.html /^<div class="viewcode-block" id="get_random_patch">$/;" I +get_random_patch docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_random_patch monai/data/utils.py /^def get_random_patch($/;" f typeref:typename:tuple[slice,...] +get_random_patch() (in module monai.data.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_rank docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_reference_grid monai/networks/blocks/warp.py /^ def get_reference_grid(self, ddf: torch.Tensor, jitter: bool = False, seed: int = 0) -> torc/;" m class:Warp typeref:typename:torch.Tensor +get_reference_grid monai/networks/nets/regunet.py /^ def get_reference_grid(image_size: tuple[int] | list[int]) -> torch.Tensor:$/;" m class:AffineHead typeref:typename:torch.Tensor +get_report_format docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_report_format monai/auto3dseg/analyzer.py /^ def get_report_format(self) -> dict:$/;" m class:Analyzer typeref:typename:dict +get_report_format() (monai.auto3dseg.analyzer method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_resnet_names tests/test_flexible_unet.py /^def get_resnet_names():$/;" f +get_resolved_cont docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_resolved_content monai/bundle/reference_resolver.py /^ def get_resolved_content(self, id: str, **kwargs: Any) -> ConfigExpression | str | Any | Non/;" m class:ReferenceResolver typeref:typename:ConfigExpression|str|Any|None +get_resolved_content() (monai.bundle.referenceresolver method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_result docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_result_from_inner_block docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_result_from_inner_blocks monai/networks/blocks/feature_pyramid_network.py /^ def get_result_from_inner_blocks(self, x: Tensor, idx: int) -> Tensor:$/;" m class:FeaturePyramidNetwork typeref:typename:Tensor +get_result_from_inner_blocks() (monai.networks.blocks.featurepyramidnetwork method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_result_from_layer_block docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_result_from_layer_blocks monai/networks/blocks/feature_pyramid_network.py /^ def get_result_from_layer_blocks(self, x: Tensor, idx: int) -> Tensor:$/;" m class:FeaturePyramidNetwork typeref:typename:Tensor +get_result_from_layer_blocks() (monai.networks.blocks.featurepyramidnetwork method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_results monai/utils/profiling.py /^ def get_results(self):$/;" m class:WorkflowProfiler +get_results() (monai.utils.profiling.workflowprofiler method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_root versioneer.py /^def get_root():$/;" f +get_sav docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_saver monai/transforms/post/dictionary.py /^ def get_saver(self):$/;" m class:SaveClassificationd +get_saver() (monai.transforms.saveclassificationd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_scor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_score monai/apps/auto3dseg/bundle_gen.py /^ def get_score(self, *args, **kwargs):$/;" m class:BundleAlgo +get_score monai/auto3dseg/algo_gen.py /^ def get_score(self, *args, **kwargs):$/;" m class:Algo +get_score() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_score() (monai.auto3dseg.algo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_seed monai/utils/misc.py /^def get_seed() -> int | None:$/;" f typeref:typename:int|None +get_seed_and_labels monai/data/ultrasound_confidence_map.py /^ def get_seed_and_labels($/;" m class:UltrasoundConfidenceMap typeref:typename:tuple[NDArray,NDArray] +get_selay docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_selayer monai/networks/nets/quicknat.py /^ def get_selayer(self, n_filters, se_block_type="None"):$/;" m class:Quicknat +get_selayer() (monai.networks.nets.quicknat method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_siz docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_size monai/data/wsi_reader.py /^ def get_size(self, wsi, level: int) -> tuple[int, int]:$/;" m class:BaseWSIReader typeref:typename:tuple[int,int] +get_size monai/data/wsi_reader.py /^ def get_size(self, wsi, level: int) -> tuple[int, int]:$/;" m class:CuCIMWSIReader typeref:typename:tuple[int,int] +get_size monai/data/wsi_reader.py /^ def get_size(self, wsi, level: int) -> tuple[int, int]:$/;" m class:OpenSlideWSIReader typeref:typename:tuple[int,int] +get_size monai/data/wsi_reader.py /^ def get_size(self, wsi, level: int) -> tuple[int, int]:$/;" m class:TiffFileWSIReader typeref:typename:tuple[int,int] +get_size monai/data/wsi_reader.py /^ def get_size(self, wsi, level: int) -> tuple[int, int]:$/;" m class:WSIReader typeref:typename:tuple[int,int] +get_size() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_size() (monai.data.cucimwsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_size() (monai.data.openslidewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_size() (monai.data.tifffilewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_size() (monai.data.wsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_stats monai/engines/evaluator.py /^ def get_stats(self, *vars):$/;" m class:Evaluator +get_stats monai/engines/trainer.py /^ def get_stats(self, *vars):$/;" m class:Trainer +get_stats monai/engines/workflow.py /^ def get_stats(self, *vars):$/;" m class:Workflow +get_stats() (monai.engines.evaluator method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_stats() (monai.engines.trainer method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_stats() (monai.engines.workflow method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_steepest_gradi docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_steepest_gradient monai/optimizers/lr_finder.py /^ def get_steepest_gradient(self, skip_start: int = 0, skip_end: int = 0) -> tuple[float, floa/;" m class:LearningRateFinder typeref:typename:tuple[float,float]|tuple[None,None] +get_steepest_gradient() (monai.optimizers.learningratefinder method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_surface_dist docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_surface_distance docs/build/html/_modules/monai/metrics/utils.html /^<div class="viewcode-block" id="get_surface_distance">$/;" I +get_surface_distance monai/metrics/utils.py /^def get_surface_distance($/;" f typeref:typename:NdarrayOrTensor +get_surface_distance() (in module monai.metrics.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_system_info docs/build/html/_modules/monai/config/deviceconfig.html /^<div class="viewcode-block" id="get_system_info">$/;" I +get_system_info docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_system_info monai/config/deviceconfig.py /^def get_system_info() -> OrderedDict:$/;" f typeref:typename:OrderedDict +get_system_info() (in module monai.config.deviceconfig) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_target_spacing monai/data/dataset_summary.py /^ def get_target_spacing(self, spacing_key: str = "affine", anisotropic_threshold: int = 3, pe/;" m class:DatasetSummary +get_target_tensor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_target_tensor monai/losses/adversarial_loss.py /^ def get_target_tensor(self, input: torch.Tensor, target_is_real: bool) -> torch.Tensor:$/;" m class:PatchAdversarialLoss typeref:typename:torch.Tensor +get_target_tensor() (monai.losses.patchadversarialloss method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_task_id docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_task_id monai/apps/auto3dseg/hpo_gen.py /^ def get_task_id(self):$/;" m class:NNIGen +get_task_id monai/apps/auto3dseg/hpo_gen.py /^ def get_task_id(self):$/;" m class:OptunaGen +get_task_id() (monai.apps.auto3dseg.nnigen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_task_id() (monai.apps.auto3dseg.optunagen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_tcia_metadata monai/apps/tcia/utils.py /^def get_tcia_metadata(query: str, attribute: str | 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property:anonymousObject06adab590105.indexentries +get_unique_label docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_unique_labels docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="get_unique_labels">$/;" I +get_unique_labels monai/transforms/utils.py /^def get_unique_labels(img: NdarrayOrTensor, is_onehot: bool, discard: int | Iterable[int] | None/;" f typeref:typename:set[int] +get_unique_labels() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_upsample_layer monai/networks/blocks/segresnet_block.py /^def get_upsample_layer($/;" f +get_upsamples monai/networks/nets/dynunet.py /^ def get_upsamples(self):$/;" m class:DynUNet +get_valid_level docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_valid_level monai/data/wsi_reader.py /^ def get_valid_level($/;" m class:BaseWSIReader typeref:typename:int +get_valid_level() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_valid_patch_s docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_valid_patch_size docs/build/html/_modules/monai/data/utils.html /^<div class="viewcode-block" id="get_valid_patch_size">$/;" I +get_valid_patch_size monai/data/utils.py /^def get_valid_patch_size(image_size: Sequence[int], patch_size: Sequence[int] | int | np.ndarray/;" f typeref:typename:tuple[int,...] +get_valid_patch_size() (in module monai.data.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_valu docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +get_value tests/test_handler_parameter_scheduler.py /^ def get_value(self):$/;" m class:ToyNet +get_values monai/inferers/merger.py /^ def get_values(self) -> torch.Tensor:$/;" m class:AvgMerger typeref:typename:torch.Tensor +get_values monai/inferers/merger.py /^ def get_values(self) -> zarr.Array:$/;" m class:ZarrAvgMerger typeref:typename:zarr.Array +get_values() (monai.inferers.avgmerger method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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None = None) -> ExchangeObject:$/;" m class:ClientAlgo typeref:typename:ExchangeObject +get_weights monai/fl/client/monai_algo.py /^ def get_weights(self, extra=None):$/;" m class:MonaiAlgo +get_weights monai/losses/ds_loss.py /^ def get_weights(self, levels: int = 1) -> list[float]:$/;" m class:DeepSupervisionLoss typeref:typename:list[float] +get_weights() (monai.fl.client.clientalgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_weights() (monai.fl.client.monaialgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +get_weights() (monai.losses.deepsupervisionloss method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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void +interpolate1d_sliding_linear monai/csrc/resample/pushpull_cuda.cu /^ MONAI_DEVICE void interpolate1d_sliding_linear(scalar_t x, offset_t w, offset_t n) const { \//;" f typeref:typename:MONAI_DEVICE void +interpolate1d_sliding_nearest monai/csrc/resample/pushpull_cuda.cu /^ MONAI_DEVICE void interpolate1d_sliding_nearest(scalar_t x, offset_t w, offset_t n) const { /;" f typeref:typename:MONAI_DEVICE void +interpolate2d monai/csrc/resample/pushpull_cuda.cu /^ MONAI_DEVICE void PushPullImpl<scalar_t, offset_t>::interpolate2d($/;" f typeref:typename:template<typename scalar_t,typename offset_t> MONAI_DEVICE void PushPullImpl<scalar_t,offset_t>:: +interpolate2d_bilinear monai/csrc/resample/pushpull_cuda.cu /^ MONAI_DEVICE void PushPullImpl<scalar_t, offset_t>::interpolate2d_bilinear($/;" f typeref:typename:template<typename scalar_t,typename offset_t> MONAI_DEVICE void PushPullImpl<scalar_t,offset_t>:: +interpolate2d_nearest monai/csrc/resample/pushpull_cuda.cu /^ MONAI_DEVICE void 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torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:RandRotated typeref:typename:dict[Hashable,torch.Tensor] +inverse monai/transforms/spatial/dictionary.py /^ def inverse(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:RandZoomd typeref:typename:dict[Hashable,torch.Tensor] +inverse monai/transforms/spatial/dictionary.py /^ def inverse(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:ResampleToMatchd typeref:typename:dict[Hashable,torch.Tensor] +inverse monai/transforms/spatial/dictionary.py /^ def inverse(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:Resized typeref:typename:dict[Hashable,torch.Tensor] +inverse monai/transforms/spatial/dictionary.py /^ def inverse(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:Rotate90d typeref:typename:dict[Hashable,torch.Tensor] +inverse 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/^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +preprocess docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +preprocess monai/apps/nnunet/nnunetv2_runner.py /^ def preprocess($/;" m class:nnUNetV2Runner typeref:typename:None +preprocess() (monai.apps.nnunet.nnunetv2runner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +preprocess_imag docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +preprocess_images docs/build/html/_modules/monai/apps/detection/utils/detector_utils.html /^<div 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property:anonymousObject06adab590105.terms +preprocessor_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +prescription docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p +prescription-bottle docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p +prescription-bottle-medical docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p +presenc docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +present docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +preserv docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +preserve_rang docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +press docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +pretext docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +pretrain docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +pretrain docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +pretrained_backbon docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +pretrained_path docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +pretrained_state_dict_kei docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +pretrained_weight docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +pretrainedmodels tests/test_senet.py /^ pretrainedmodels, has_cadene_pretrain = optional_import("pretrainedmodels")$/;" v +pretti docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +prev docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" m class:pe.ri +prevLink docs/build/html/_static/doctools.js /^ const prevLink = document.querySelector('link[rel="prev"]');$/;" C +prev_best docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +preval docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +prevent docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +preventScroll docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" p variable:anonymousObject1fdeb0b6d805.anonymousObject1fdeb0b6dd05 +preview docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +preview docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +previou docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +previous docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +previous_best docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +previous_image_shap docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +primari docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +primarili docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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class:NNIGen +print_bundle_algo_instruction() (monai.apps.auto3dseg.nnigen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +print_color monai/transforms/utils.py /^ def print_color(t, color):$/;" f function:print_transform_backends file: +print_config docs/build/html/_modules/monai/config/deviceconfig.html /^<div class="viewcode-block" id="print_config">$/;" I +print_config docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +print_config monai/config/deviceconfig.py /^def print_config(file=sys.stdout):$/;" f +print_config() (in module monai.config.deviceconfig) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +print_debug_info docs/build/html/_modules/monai/config/deviceconfig.html /^<div class="viewcode-block" id="print_debug_info">$/;" I +print_debug_info docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +print_debug_info monai/config/deviceconfig.py /^def print_debug_info(file: TextIO = sys.stdout) -> None:$/;" f typeref:typename:None +print_debug_info() (in module monai.config.deviceconfig) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +print_error_msg runtests.sh /^function print_error_msg() {$/;" f +print_glob_file tests/testing_data/inference.json /^ "print_glob_file": "$print(glob.__file__)",$/;" s +print_gpu_info docs/build/html/_modules/monai/config/deviceconfig.html /^<div class="viewcode-block" id="print_gpu_info">$/;" I +print_gpu_info docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +print_gpu_info monai/config/deviceconfig.py /^def print_gpu_info(file: TextIO = sys.stdout) -> None:$/;" f typeref:typename:None +print_gpu_info() (in module monai.config.deviceconfig) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +print_log docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +print_lr docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms 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color=Colors.none):$/;" f function:print_transform_backends file: +print_test_name tests/testing_data/inference.json /^ "print_test_name": "$print('json_test')",$/;" s +print_transform_backend docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +print_transform_backends docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="print_transform_backends">$/;" I +print_transform_backends monai/transforms/utils.py /^def print_transform_backends():$/;" f +print_transform_backends() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +print_usage runtests.sh /^function print_usage {$/;" f +print_verbos docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.data.shufflebuffer method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.data.smartcachedataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.addextremepointschannel method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.addextremepointschanneld method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randcropbyposneglabeld method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randcropd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randdeformgrid method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randgaussiannoise method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randscalecrop method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randscaleintensity method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randscaleintensityfixedmean method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randshiftintensity method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randsmoothfieldadjustcontrastd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randsmoothfieldadjustintensity method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randsmoothfieldadjustintensityd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randspatialcrop method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randspatialcropsamples method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randspatialcropsamplesd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randstdshiftintensity method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randweightedcrop method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randweightedcropd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize() (monai.transforms.randzoom method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomize_choose_acceler docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randomize_choose_acceleration monai/apps/reconstruction/transforms/array.py /^ def randomize_choose_acceleration(self) -> Sequence[float]:$/;" m class:KspaceMask typeref:typename:Sequence[float] +randomize_choose_acceleration() (monai.apps.reconstruction.transforms.array.kspacemask method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomized_pop docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randomized_pop monai/data/iterable_dataset.py /^ def randomized_pop(self, buffer):$/;" m class:ShuffleBuffer +randomized_pop() (monai.data.shufflebuffer method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomkspacemask docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randomkspacemask (class in monai.apps.reconstruction.transforms.array) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomkspacemaskd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randomkspacemaskd (class in monai.apps.reconstruction.transforms.dictionary) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomli docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randommaskfunc docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randomord docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +randomorder docs/build/html/transforms.html /^<section id="randomorder">$/;" I +randomorder (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randomst docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randomtrait docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randrangepop docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +randrangepop docs/build/html/transforms.html /^<section id="randrangepop">$/;" I +randrangepop (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randrangepush docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +randrangepush docs/build/html/transforms.html /^<section id="randrangepush">$/;" I +randrangepush (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randriciannois docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +randriciannoise docs/build/html/transforms.html /^<section id="randriciannoise">$/;" I +randriciannoise (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randriciannoised docs/build/html/transforms.html /^<section id="randriciannoised">$/;" I +randriciannoised (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randrot docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randrot docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +randrotate docs/build/html/transforms.html /^<section id="randrotate">$/;" I +randrotate (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randrotate90 docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +randrotate90 docs/build/html/transforms.html /^<section id="randrotate90">$/;" I +randrotate90 (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randrotate90d docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randrotate90d docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +randrotate90d docs/build/html/transforms.html /^<section id="randrotate90d">$/;" I +randrotate90d (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +randrotatebox90d docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +randrotatebox90d 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/^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +resnet101 monai/networks/nets/resnet.py /^def resnet101(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet:$/;" f typeref:typename:ResNet +resnet152 docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +resnet152 monai/networks/nets/resnet.py /^def resnet152(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet:$/;" f typeref:typename:ResNet +resnet18 docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +resnet18 monai/networks/nets/resnet.py /^def resnet18(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet:$/;" f 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_balanced_sampl docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_balanced_sampler monai/apps/detection/networks/retinanet_detector.py /^ def set_balanced_sampler(self, batch_size_per_image: int, positive_fraction: float) -> None:$/;" m class:RetinaNetDetector typeref:typename:None +set_balanced_sampler() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_box_coder_weight docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_box_coder_weights monai/apps/detection/networks/retinanet_detector.py /^ def set_box_coder_weights(self, weights: tuple[float]) -> None:$/;" m class:RetinaNetDetector typeref:typename:None +set_box_coder_weights() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_box_regression_loss docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_box_regression_loss monai/apps/detection/networks/retinanet_detector.py /^ def set_box_regression_loss(self, box_loss: nn.Module, encode_gt: bool, decode_pred: bool) -/;" m class:RetinaNetDetector typeref:typename:None +set_box_regression_loss() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_box_selector_paramet docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_box_selector_parameters monai/apps/detection/networks/retinanet_detector.py /^ def set_box_selector_parameters($/;" m class:RetinaNetDetector typeref:typename:None +set_box_selector_parameters() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_budget docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_budget monai/auto3dseg/algo_gen.py /^ def set_budget(self, *args, **kwargs):$/;" m class:AlgoGen +set_budget() (monai.auto3dseg.algogen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_cell_anchor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_cell_anchors monai/apps/detection/utils/anchor_utils.py /^ def set_cell_anchors(self, dtype: torch.dtype, device: torch.device) -> None:$/;" m class:AnchorGenerator typeref:typename:None +set_cell_anchors() (monai.apps.detection.utils.anchor_utils.anchorgenerator method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_cls_loss docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_cls_loss monai/apps/detection/networks/retinanet_detector.py /^ def set_cls_loss(self, cls_loss: nn.Module) -> None:$/;" m class:RetinaNetDetector typeref:typename:None +set_cls_loss() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_data monai/data/dataset.py /^ def set_data(self, data: Sequence) -> None:$/;" m class:CacheDataset typeref:typename:None +set_data monai/data/dataset.py /^ def set_data(self, data: Sequence):$/;" m class:LMDBDataset +set_data monai/data/dataset.py /^ def set_data(self, data: Sequence):$/;" m class:PersistentDataset +set_data monai/data/dataset.py /^ def set_data(self, data: Sequence):$/;" m class:SmartCacheDataset +set_data monai/data/grid_dataset.py /^ def set_data(self, data: Sequence) -> None:$/;" m class:GridPatchDataset typeref:typename:None +set_data() (monai.data.cachedataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data() (monai.data.gridpatchdataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data() (monai.data.lmdbdataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data() (monai.data.persistentdataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data() (monai.data.smartcachedataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data_arrai docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_data_array monai/data/image_writer.py /^ def set_data_array($/;" m class:ITKWriter +set_data_array monai/data/image_writer.py /^ def set_data_array($/;" m class:NibabelWriter +set_data_array monai/data/image_writer.py /^ def set_data_array($/;" m class:PILWriter +set_data_array monai/data/image_writer.py /^ def set_data_array(self, data_array, **kwargs):$/;" m class:ImageWriter +set_data_array() (monai.data.itkwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data_array() (monai.data.nibabelwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data_array() (monai.data.pilwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data_sourc docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_data_source monai/apps/auto3dseg/bundle_gen.py /^ def set_data_source(self, data_src_cfg: str) -> None:$/;" m class:BundleAlgo typeref:typename:None +set_data_source() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data_src docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_data_src monai/apps/auto3dseg/bundle_gen.py /^ def set_data_src(self, data_src_cfg_name):$/;" m class:BundleGen +set_data_src() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data_stat docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_data_stats monai/apps/auto3dseg/bundle_gen.py /^ def set_data_stats(self, data_stats_filename: str) -> None:$/;" m class:BundleGen typeref:typename:None +set_data_stats monai/apps/auto3dseg/bundle_gen.py /^ def set_data_stats(self, data_stats_files: str) -> None:$/;" m class:BundleAlgo typeref:typename:None +set_data_stats monai/auto3dseg/algo_gen.py /^ def set_data_stats(self, *args, **kwargs): # type ignore$/;" m class:AlgoGen +set_data_stats monai/auto3dseg/algo_gen.py /^ def set_data_stats(self, *args, **kwargs):$/;" m class:Algo +set_data_stats() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data_stats() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data_stats() (monai.auto3dseg.algo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_data_stats() (monai.auto3dseg.algogen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_determin docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_determinism docs/build/html/_modules/monai/utils/misc.html /^<div class="viewcode-block" id="set_determinism">$/;" I +set_determinism monai/utils/misc.py /^def set_determinism($/;" f typeref:typename:None +set_determinism() (in module monai.utils.misc) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_device monai/data/wsi_reader.py /^ def set_device(self, device):$/;" m class:BaseWSIReader +set_device monai/transforms/spatial/array.py /^ def set_device(self, device):$/;" m class:Rand2DElastic +set_device monai/transforms/spatial/array.py /^ def set_device(self, device):$/;" m class:Rand3DElastic +set_device_info docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_device_info monai/apps/auto3dseg/auto_runner.py /^ def set_device_info($/;" m class:AutoRunner typeref:typename:AutoRunner +set_device_info() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_dtype monai/data/wsi_reader.py /^ def set_dtype(self, dtype):$/;" m class:BaseWSIReader +set_ensemble_method docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_ensemble_method monai/apps/auto3dseg/auto_runner.py /^ def set_ensemble_method(self, ensemble_method_name: str = "AlgoEnsembleBestByFold", **kwargs/;" m class:AutoRunner typeref:typename:AutoRunner +set_ensemble_method monai/apps/auto3dseg/ensemble_builder.py /^ def set_ensemble_method(self, ensemble: AlgoEnsemble, *args: Any, **kwargs: Any) -> None:$/;" m class:AlgoEnsembleBuilder typeref:typename:None +set_ensemble_method monai/apps/auto3dseg/ensemble_builder.py /^ def set_ensemble_method(self, ensemble_method_name: str = "AlgoEnsembleBestByFold", **kwargs/;" m class:EnsembleRunner typeref:typename:None +set_ensemble_method() (monai.apps.auto3dseg.algoensemblebuilder method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_ensemble_method() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_ensemble_method() (monai.apps.auto3dseg.ensemblerunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_field_mode monai/transforms/smooth_field/array.py /^ def set_field_mode(self, mode: str) -> None:$/;" m class:RandSmoothDeform typeref:typename:None +set_float32_matmul_precis docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_gpu_custom docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_gpu_customization monai/apps/auto3dseg/auto_runner.py /^ def set_gpu_customization($/;" m class:AutoRunner typeref:typename:AutoRunner +set_gpu_customization() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_grid_mode monai/transforms/smooth_field/array.py /^ def set_grid_mode(self, mode: str) -> None:$/;" m class:RandSmoothDeform typeref:typename:None +set_hard_negative_sampl docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_hard_negative_sampler monai/apps/detection/networks/retinanet_detector.py /^ def set_hard_negative_sampler($/;" m class:RetinaNetDetector typeref:typename:None +set_hard_negative_sampler() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_hpo_param docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_hpo_params monai/apps/auto3dseg/auto_runner.py /^ def set_hpo_params(self, params: dict[str, Any] | None = None) -> AutoRunner:$/;" m class:AutoRunner typeref:typename:AutoRunner +set_hpo_params() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_image_save_transform docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_image_save_transform monai/apps/auto3dseg/auto_runner.py /^ def set_image_save_transform(self, **kwargs: Any) -> AutoRunner:$/;" m class:AutoRunner typeref:typename:AutoRunner +set_image_save_transform monai/apps/auto3dseg/ensemble_builder.py /^ def set_image_save_transform(self, **kwargs: Any) -> None:$/;" m class:EnsembleRunner typeref:typename:None +set_image_save_transform() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_image_save_transform() (monai.apps.auto3dseg.ensemblerunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_infer_fil docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_infer_files monai/apps/auto3dseg/ensemble_builder.py /^ def set_infer_files(self, dataroot: str, data_list_or_path: str | list, data_key: str = "tes/;" m class:AlgoEnsemble typeref:typename:None +set_infer_files() (monai.apps.auto3dseg.algoensemble method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_metadata docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_metadata monai/data/image_writer.py /^ def set_metadata(self, meta_dict: Mapping | None = None, resample: bool = True, **options):$/;" m class:ITKWriter +set_metadata monai/data/image_writer.py /^ def set_metadata(self, meta_dict: Mapping | None = None, resample: bool = True, **options):$/;" m class:PILWriter +set_metadata monai/data/image_writer.py /^ def set_metadata(self, meta_dict: Mapping | None, **options):$/;" m class:ImageWriter +set_metadata monai/data/image_writer.py /^ def set_metadata(self, meta_dict: Mapping | None, resample: bool = True, **options):$/;" m class:NibabelWriter +set_metadata() (monai.data.itkwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_metadata() (monai.data.nibabelwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_metadata() (monai.data.pilwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_mlflow_experiment_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_mlflow_experiment_name monai/apps/auto3dseg/bundle_gen.py /^ def set_mlflow_experiment_name(self, mlflow_experiment_name):$/;" m class:BundleGen +set_mlflow_experiment_name monai/apps/auto3dseg/bundle_gen.py /^ def set_mlflow_experiment_name(self, mlflow_experiment_name: str | None) -> None:$/;" m class:BundleAlgo typeref:typename:None +set_mlflow_experiment_name() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_mlflow_experiment_name() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_mlflow_tracking_uri docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_mlflow_tracking_uri monai/apps/auto3dseg/bundle_gen.py /^ def set_mlflow_tracking_uri(self, mlflow_tracking_uri):$/;" m class:BundleGen +set_mlflow_tracking_uri monai/apps/auto3dseg/bundle_gen.py /^ def set_mlflow_tracking_uri(self, mlflow_tracking_uri: str | None) -> None:$/;" m class:BundleAlgo typeref:typename:None +set_mlflow_tracking_uri() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_mlflow_tracking_uri() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_mode monai/transforms/smooth_field/array.py /^ def set_mode(self, mode: str) -> None:$/;" m class:RandSmoothFieldAdjustContrast typeref:typename:None +set_mode monai/transforms/smooth_field/array.py /^ def set_mode(self, mode: str) -> None:$/;" m class:RandSmoothFieldAdjustIntensity typeref:typename:None +set_mode monai/transforms/smooth_field/array.py /^ def set_mode(self, mode: str) -> None:$/;" m class:SmoothField typeref:typename:None +set_named_modul docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_named_module docs/build/html/_modules/monai/networks/utils.html /^<div class="viewcode-block" id="set_named_module">$/;" I +set_named_module monai/networks/utils.py /^def set_named_module(mod, name: str, new_layer):$/;" f +set_named_module() (in module monai.networks.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_nni_search_spac docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_nni_search_space monai/apps/auto3dseg/auto_runner.py /^ def set_nni_search_space(self, search_space: dict[str, Any]) -> AutoRunner:$/;" m class:AutoRunner typeref:typename:AutoRunner +set_nni_search_space() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_num_fold docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_num_fold monai/apps/auto3dseg/auto_runner.py /^ def set_num_fold(self, num_fold: int = 5) -> AutoRunner:$/;" m class:AutoRunner typeref:typename:AutoRunner +set_num_fold monai/apps/auto3dseg/ensemble_builder.py /^ def set_num_fold(self, num_fold: int = 5) -> None:$/;" m class:EnsembleRunner typeref:typename:None +set_num_fold() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_num_fold() (monai.apps.auto3dseg.ensemblerunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_opt docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_options monai/transforms/io/array.py /^ def set_options(self, init_kwargs=None, data_kwargs=None, meta_kwargs=None, write_kwargs=Non/;" m class:SaveImage +set_options monai/transforms/io/dictionary.py /^ def set_options(self, init_kwargs=None, data_kwargs=None, meta_kwargs=None, write_kwargs=Non/;" m class:SaveImaged +set_options() (monai.transforms.saveimage method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_prediction_param docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_prediction_params monai/apps/auto3dseg/auto_runner.py /^ def set_prediction_params(self, params: dict[str, Any] | None = None) -> AutoRunner:$/;" m class:AutoRunner typeref:typename:AutoRunner +set_prediction_params() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_st docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +set_random_state monai/apps/detection/transforms/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandFlipBoxd typeref:typename:RandFlipBoxd +set_random_state monai/apps/detection/transforms/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandZoomBoxd typeref:typename:RandZoomBoxd +set_random_state monai/apps/reconstruction/transforms/dictionary.py /^ def set_random_state($/;" m class:EquispacedKspaceMaskd typeref:typename:EquispacedKspaceMaskd +set_random_state monai/apps/reconstruction/transforms/dictionary.py /^ def set_random_state($/;" m class:RandomKspaceMaskd typeref:typename:RandomKspaceMaskd +set_random_state monai/transforms/compose.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Compose typeref:typename:Compose +set_random_state monai/transforms/croppad/array.py /^ def set_random_state($/;" m class:RandSpatialCropSamples typeref:typename:RandSpatialCropSamples +set_random_state monai/transforms/croppad/dictionary.py /^ def set_random_state($/;" m class:RandCropByLabelClassesd typeref:typename:RandCropByLabelClassesd +set_random_state monai/transforms/croppad/dictionary.py /^ def set_random_state($/;" m class:RandCropByPosNegLabeld typeref:typename:RandCropByPosNegLabeld +set_random_state monai/transforms/croppad/dictionary.py /^ def set_random_state($/;" m class:RandWeightedCropd typeref:typename:RandWeightedCropd +set_random_state monai/transforms/croppad/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandCropd typeref:typename:RandCropd +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandAdjustContrastd typeref:typename:RandAdjustContrastd +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandCoarseDropoutd typeref:typename:RandCoarseDropoutd +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandCoarseShuffled typeref:typename:RandCoarseShuffled +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandGaussianNoised typeref:typename:RandGaussianNoised +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandGaussianSharpend typeref:typename:RandGaussianSharpend +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandGaussianSmoothd typeref:typename:RandGaussianSmoothd +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandHistogramShiftd typeref:typename:RandHistogramShiftd +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandKSpaceSpikeNoised typeref:typename:RandKSpaceSpikeNoised +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandScaleIntensityFixedMeand typeref:typename:RandScaleIntensityFixedMeand +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandScaleIntensityd typeref:typename:RandScaleIntensityd +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandShiftIntensityd typeref:typename:RandShiftIntensityd +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandStdShiftIntensityd typeref:typename:RandStdShiftIntensityd +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandBiasFieldd typeref:typename:RandBiasFieldd +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandGibbsNoised typeref:typename:RandGibbsNoised +set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandRicianNoised typeref:typename:RandRicianNoised +set_random_state monai/transforms/smooth_field/array.py /^ def set_random_state($/;" m class:RandSmoothFieldAdjustContrast typeref:typename:RandSmoothFieldAdjustContrast +set_random_state monai/transforms/smooth_field/array.py /^ def set_random_state($/;" m class:RandSmoothFieldAdjustIntensity typeref:typename:RandSmoothFieldAdjustIntensity +set_random_state monai/transforms/smooth_field/array.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandSmoothDeform typeref:typename:Randomizable +set_random_state monai/transforms/smooth_field/dictionary.py /^ def set_random_state($/;" m class:RandSmoothDeformd typeref:typename:RandSmoothDeformd +set_random_state monai/transforms/smooth_field/dictionary.py /^ def set_random_state($/;" m class:RandSmoothFieldAdjustContrastd typeref:typename:RandSmoothFieldAdjustContrastd +set_random_state monai/transforms/smooth_field/dictionary.py /^ def set_random_state($/;" m class:RandSmoothFieldAdjustIntensityd typeref:typename:RandSmoothFieldAdjustIntensityd +set_random_state monai/transforms/spatial/array.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Rand2DElastic typeref:typename:Rand2DElastic +set_random_state monai/transforms/spatial/array.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Rand3DElastic typeref:typename:Rand3DElastic +set_random_state monai/transforms/spatial/array.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandAffine typeref:typename:RandAffine +set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state($/;" m class:RandGridDistortiond typeref:typename:RandGridDistortiond +set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state($/;" m class:RandSimulateLowResolutiond typeref:typename:RandSimulateLowResolutiond +set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Rand2DElasticd typeref:typename:Rand2DElasticd +set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Rand3DElasticd typeref:typename:Rand3DElasticd +set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandAffined typeref:typename:RandAffined +set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandAxisFlipd typeref:typename:RandAxisFlipd +set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandFlipd typeref:typename:RandFlipd +set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandGridPatchd typeref:typename:RandGridPatchd +set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandRotated typeref:typename:RandRotated +set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandZoomd typeref:typename:RandZoomd +set_random_state monai/transforms/transform.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Randomizable typeref:typename:Randomizable +set_random_state() (monai.apps.detection.transforms.dictionary.randflipboxd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.apps.detection.transforms.dictionary.randzoomboxd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.compose method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.rand2delastic method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.rand2delasticd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.rand3delastic method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.rand3delasticd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randadjustcontrastd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randaffine method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randaffined method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randaxisflipd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randbiasfieldd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randcoarsedropoutd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randcoarseshuffled method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randcropbylabelclassesd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randcropbyposneglabeld method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randcropd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randflipd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randgaussiannoised method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randgaussiansharpend method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randgaussiansmoothd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randgibbsnoised method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randgriddistortiond method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randgridpatchd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randhistogramshiftd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randkspacespikenoised method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randomizable method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randriciannoised method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randrotated method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries +set_random_state() (monai.transforms.randscaleintensityd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +shallow docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +shape docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms +shape docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms +shape tests/profile_subclass/cprofile_profiling.py /^ shape = (n_chan, hwd, hwd, hwd)$/;" v +shape_factor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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m class:TestUNET +test_ill_input_shape tests/test_voxelmorph.py /^ def test_ill_input_shape(self, input_param, moving_shape, fixed_shape):$/;" m class:TestVOXELMORPH +test_ill_lambda tests/test_dice_focal_loss.py /^ def test_ill_lambda(self):$/;" m class:TestDiceFocalLoss +test_ill_lambda tests/test_generalized_dice_focal_loss.py /^ def test_ill_lambda(self):$/;" m class:TestGeneralizedDiceFocalLoss +test_ill_opts tests/test_bending_energy.py /^ def test_ill_opts(self):$/;" m class:TestBendingEnergy +test_ill_opts tests/test_dice_loss.py /^ def test_ill_opts(self):$/;" m class:TestDiceLoss +test_ill_opts tests/test_diffusion_loss.py /^ def test_ill_opts(self):$/;" m class:TestDiffusionLoss +test_ill_opts tests/test_focal_loss.py /^ def test_ill_opts(self):$/;" m class:TestFocalLoss +test_ill_opts tests/test_generalized_dice_loss.py /^ def test_ill_opts(self):$/;" m class:TestGeneralizedDiceLoss +test_ill_opts tests/test_global_mutual_information_loss.py /^ def test_ill_opts(self):$/;" m class:TestGlobalMutualInformationLossIll +test_ill_opts tests/test_hausdorff_loss.py /^ def test_ill_opts(self):$/;" m class:TesLogtHausdorffDTLoss +test_ill_opts tests/test_hausdorff_loss.py /^ def test_ill_opts(self):$/;" m class:TestHausdorffDTLoss +test_ill_opts tests/test_local_normalized_cross_correlation_loss.py /^ def test_ill_opts(self):$/;" m class:TestLocalNormalizedCrossCorrelationLoss +test_ill_opts tests/test_masked_dice_loss.py /^ def test_ill_opts(self):$/;" m class:TestDiceLoss +test_ill_opts tests/test_masked_loss.py /^ def test_ill_opts(self):$/;" m class:TestMaskedLoss +test_ill_opts tests/test_multi_scale.py /^ def test_ill_opts(self):$/;" m class:TestMultiScale +test_ill_radius tests/test_synthetic.py /^ def test_ill_radius(self):$/;" m class:TestDiceCELoss +test_ill_reduction tests/test_ds_loss.py /^ def test_ill_reduction(self):$/;" m class:TestDSLossDiceCE +test_ill_shape tests/test_barlow_twins_loss.py /^ def test_ill_shape(self):$/;" m class:TestBarlowTwinsLoss +test_ill_shape tests/test_bending_energy.py /^ def test_ill_shape(self):$/;" m class:TestBendingEnergy +test_ill_shape tests/test_compute_regression_metrics.py /^ def test_ill_shape(self):$/;" m class:TestRegressionMetrics +test_ill_shape tests/test_contrastive_loss.py /^ def test_ill_shape(self):$/;" m class:TestContrastiveLoss +test_ill_shape tests/test_dice_focal_loss.py /^ def test_ill_shape(self):$/;" m class:TestDiceFocalLoss +test_ill_shape tests/test_dice_loss.py /^ def test_ill_shape(self):$/;" m class:TestDiceLoss +test_ill_shape tests/test_diffusion_loss.py /^ def test_ill_shape(self):$/;" m class:TestDiffusionLoss +test_ill_shape tests/test_ds_loss.py /^ def test_ill_shape(self):$/;" m class:TestDSLossDiceCE +test_ill_shape tests/test_focal_loss.py /^ def test_ill_shape(self):$/;" m class:TestFocalLoss +test_ill_shape tests/test_generalized_dice_focal_loss.py /^ def test_ill_shape(self):$/;" m class:TestGeneralizedDiceFocalLoss +test_ill_shape tests/test_generalized_dice_loss.py /^ def test_ill_shape(self):$/;" m class:TestGeneralizedDiceLoss +test_ill_shape tests/test_giou_loss.py /^ def test_ill_shape(self):$/;" m class:TestGIoULoss +test_ill_shape tests/test_global_mutual_information_loss.py /^ def test_ill_shape(self):$/;" m class:TestGlobalMutualInformationLossIll +test_ill_shape tests/test_handler_regression_metrics.py /^ def test_ill_shape(self):$/;" m class:TestHandlerRegressionMetrics +test_ill_shape tests/test_hausdorff_loss.py /^ def test_ill_shape(self):$/;" m class:TesLogtHausdorffDTLoss +test_ill_shape tests/test_hausdorff_loss.py /^ def test_ill_shape(self):$/;" m class:TestHausdorffDTLoss +test_ill_shape tests/test_local_normalized_cross_correlation_loss.py /^ def test_ill_shape(self):$/;" m class:TestLocalNormalizedCrossCorrelationLoss +test_ill_shape tests/test_localnet_block.py /^ def test_ill_shape(self, input_param):$/;" m class:TestLocalNetDownSampleBlock +test_ill_shape tests/test_localnet_block.py /^ def test_ill_shape(self, input_param):$/;" m class:TestLocalNetUpSampleBlock +test_ill_shape tests/test_masked_dice_loss.py /^ def test_ill_shape(self):$/;" m class:TestDiceLoss +test_ill_shape tests/test_regunet.py /^ def test_ill_shape(self):$/;" m class:TestREGUNET +test_ill_shape tests/test_regunet_block.py /^ def test_ill_shape(self):$/;" m class:TestRegistrationDownSampleBlock +test_ill_shape tests/test_tversky_loss.py /^ def test_ill_shape(self):$/;" m class:TestTverskyLoss +test_ill_shape tests/test_unified_focal_loss.py /^ def test_ill_shape(self):$/;" m class:TestAsymmetricUnifiedFocalLoss +test_ill_shape tests/test_warp.py /^ def test_ill_shape(self):$/;" m class:TestWarp +test_image_no_label tests/test_testtimeaugmentation.py /^ def test_image_no_label(self):$/;" m class:TestTestTimeAugmentation +test_image_normalize_intensityd tests/test_normalize_intensityd.py /^ def test_image_normalize_intensityd(self, im_type):$/;" m class:TestNormalizeIntensityd +test_image_scale_intensity_range tests/test_scale_intensity_range.py /^ def test_image_scale_intensity_range(self):$/;" m class:IntensityScaleIntensityRange +test_image_scale_intensity_range_none_clip tests/test_scale_intensity_range.py /^ def test_image_scale_intensity_range_none_clip(self):$/;" m class:IntensityScaleIntensityRange +test_image_scale_intensity_ranged tests/test_scale_intensity_ranged.py /^ def test_image_scale_intensity_ranged(self):$/;" m class:IntensityScaleIntensityRanged +test_image_scale_intensity_ranged_none tests/test_scale_intensity_ranged.py /^ def test_image_scale_intensity_ranged_none(self):$/;" m class:IntensityScaleIntensityRanged +test_image_stats_case_analyzer tests/test_auto3dseg.py /^ def test_image_stats_case_analyzer(self):$/;" m class:TestDataAnalyzer +test_image_stats_summary_analyzer tests/test_auto3dseg.py /^ def test_image_stats_summary_analyzer(self):$/;" m class:TestDataAnalyzer +test_import tests/test_config_item.py /^ def test_import(self, stmt, mod_name):$/;" m class:TestConfigItem +test_import_exact tests/test_optional_import.py /^ def test_import_exact(self):$/;" m class:TestOptionalImport +test_import_from tests/test_config_item.py /^ def test_import_from(self, stmt, mod_name):$/;" m class:TestConfigItem +test_import_good_number tests/test_optional_import.py /^ def test_import_good_number(self):$/;" m class:TestOptionalImport +test_import_method tests/test_optional_import.py /^ def test_import_method(self):$/;" m class:TestOptionalImport +test_import_valid tests/test_optional_import.py /^ def test_import_valid(self):$/;" m class:TestOptionalImport +test_import_wrong_number tests/test_optional_import.py /^ def test_import_wrong_number(self):$/;" m class:TestOptionalImport +test_includes_metadata tests/test_save_imaged.py /^ def test_includes_metadata(self, test_data, output_ext, resample):$/;" m class:TestSaveImaged +test_indexing tests/test_meta_tensor.py /^ def test_indexing(self):$/;" m class:TestMetaTensor +test_indices tests/test_rand_crop_by_label_classes.py /^ def test_indices(self, input_param, input_data, expected_type, expected_shape):$/;" m class:TestRandCropByLabelClasses +test_inference_config tests/test_bundle_workflow.py /^ def test_inference_config(self, config_file):$/;" m class:TestBundleWorkflow +test_init tests/test_fl_exchange_object.py /^ def test_init(self, input_params, expected_str):$/;" m class:TestFLExchangeObject +test_init tests/test_preset_filters.py /^ def test_init(self, spatial_dims, size, expected):$/;" m class:EllipticalTestCase +test_init tests/test_preset_filters.py /^ def test_init(self, spatial_dims, size, expected):$/;" m class:LaplaceFilterTestCase +test_init tests/test_preset_filters.py /^ def test_init(self, spatial_dims, size, expected):$/;" m class:MeanFilterTestCase +test_init tests/test_preset_filters.py /^ def test_init(self, spatial_dims, size, expected):$/;" m class:SharpenTestCase +test_init tests/test_preset_filters.py /^ def test_init(self, spatial_dims, size, expected):$/;" m class:_TestFilter +test_init_and_forward_2d tests/test_preset_filters.py /^ def test_init_and_forward_2d(self):$/;" m class:TestApplyFilter +test_init_and_forward_3d tests/test_preset_filters.py /^ def test_init_and_forward_3d(self):$/;" m class:TestApplyFilter +test_init_from_array tests/test_image_filter.py /^ def test_init_from_array(self):$/;" m class:TestImageFilter +test_init_from_array tests/test_image_filter.py /^ def test_init_from_array(self):$/;" m class:TestRandImageFilter +test_init_from_array_dict tests/test_image_filter.py /^ def test_init_from_array_dict(self):$/;" m class:TestImageFilterDict +test_init_from_array_dict tests/test_image_filter.py /^ def test_init_from_array_dict(self):$/;" m class:TestRandImageFilterDict +test_init_from_module tests/test_image_filter.py /^ def test_init_from_module(self):$/;" m class:TestImageFilter +test_init_from_string tests/test_image_filter.py /^ def test_init_from_string(self, filter_name):$/;" m class:TestImageFilter +test_init_from_string tests/test_image_filter.py /^ def test_init_from_string(self, filter_name):$/;" m class:TestRandImageFilter +test_init_from_string_dict tests/test_image_filter.py /^ def test_init_from_string_dict(self, filter_name):$/;" m class:TestImageFilterDict +test_init_from_string_dict tests/test_image_filter.py /^ def test_init_from_string_dict(self, filter_name):$/;" m class:TestRandImageFilterDict +test_init_from_transform tests/test_image_filter.py /^ def test_init_from_transform(self):$/;" m class:TestImageFilter +test_init_from_wrong_type_fails tests/test_image_filter.py /^ def test_init_from_wrong_type_fails(self):$/;" m class:TestImageFilter +test_init_raises tests/test_image_filter.py /^ def test_init_raises(self):$/;" m class:TestImageFilter +test_initialize_pretrained tests/test_ahnet.py /^ def test_initialize_pretrained(self):$/;" m class:TestAHNETWithPretrain +test_input tests/test_hausdorff_distance.py /^ test_input, test_output = test_case # type: ignore$/;" v +test_input_dimensions tests/test_compute_fid_metric.py /^ def test_input_dimensions(self):$/;" m class:TestFIDMetric +test_input_torch tests/test_spatial_resample.py /^ def test_input_torch(self, new_shape, tile, device, dtype, expected_data, track_meta):$/;" m class:TestSpatialResample +test_input_warnings tests/test_dice_loss.py /^ def test_input_warnings(self):$/;" m class:TestDiceLoss +test_input_warnings tests/test_generalized_dice_loss.py /^ def test_input_warnings(self):$/;" m class:TestGeneralizedDiceLoss +test_input_warnings tests/test_hausdorff_loss.py /^ def test_input_warnings(self):$/;" m class:TesLogtHausdorffDTLoss +test_input_warnings tests/test_hausdorff_loss.py /^ def test_input_warnings(self):$/;" m class:TestHausdorffDTLoss +test_input_warnings tests/test_masked_dice_loss.py /^ def test_input_warnings(self):$/;" m class:TestDiceLoss +test_input_warnings tests/test_tversky_loss.py /^ def test_input_warnings(self):$/;" m class:TestTverskyLoss +test_int tests/test_scale_intensity.py /^ def test_int(self):$/;" m class:TestScaleIntensity +test_integration_value tests/testing_data/integration_answers.py /^def test_integration_value(test_name, key, data, rtol=1e-2):$/;" f +test_intensity tests/test_rand_k_space_spike_noise.py /^ def test_intensity(self, im_shape, im_type, channel_wise):$/;" m class:TestRandKSpaceSpikeNoise +test_interp tests/test_enum_bound_interp.py /^ def test_interp(self):$/;" m class:TestEnumBoundInterp +test_interp tests/test_rand_histogram_shift.py /^ def test_interp(self):$/;" m class:TestRandHistogramShift +test_invalid_cases tests/test_flipd.py /^ def test_invalid_cases(self, _, spatial_axis, raises):$/;" m class:TestFlipd +test_invalid_dim tests/test_deepgrow_dataset.py /^ def test_invalid_dim(self):$/;" m class:TestCreateDataset +test_invalid_inputs tests/test_flip.py /^ def test_invalid_inputs(self, _, spatial_axis, raises):$/;" m class:TestFlip +test_invalid_inputs tests/test_rand_flip.py /^ def test_invalid_inputs(self, _, spatial_axis, raises):$/;" m class:TestRandFlip +test_invalid_inputs tests/test_rand_zoom.py /^ def test_invalid_inputs(self, _, min_zoom, max_zoom, mode, raises):$/;" m class:TestRandZoom +test_invalid_inputs tests/test_rand_zoomd.py /^ def test_invalid_inputs(self, _, min_zoom, max_zoom, mode, raises):$/;" m class:TestRandZoomd +test_invalid_inputs tests/test_resize.py /^ def test_invalid_inputs(self):$/;" m class:TestResize +test_invalid_inputs tests/test_resized.py /^ def test_invalid_inputs(self):$/;" m class:TestResized +test_invalid_inputs tests/test_squeezedim.py /^ def test_invalid_inputs(self, exception, input_param, test_data):$/;" m class:TestSqueezeDim +test_invalid_inputs tests/test_squeezedimd.py /^ def test_invalid_inputs(self, exception, input_param, test_data):$/;" m class:TestSqueezeDim +test_invalid_inputs tests/test_zoom.py /^ def test_invalid_inputs(self, zoom, mode, raises):$/;" m class:TestZoom +test_invalid_inputs tests/test_zoomd.py /^ def test_invalid_inputs(self, _, zoom, mode, raises):$/;" m class:TestZoomd +test_invalid_instantiation tests/test_scale_intensity_range_percentiles.py /^ def test_invalid_instantiation(self):$/;" m class:TestScaleIntensityRangePercentiles +test_invalid_instantiation tests/test_scale_intensity_range_percentilesd.py /^ def test_invalid_instantiation(self):$/;" m class:TestScaleIntensityRangePercentilesd +test_inverse tests/test_inverse.py /^ def test_inverse(self, _, data_name, acceptable_diff, is_meta, *transforms):$/;" m class:TestInverse +test_inverse tests/test_one_of.py /^ def test_inverse(self, transform, invertible, use_metatensor):$/;" m class:TestOneOf +test_inverse tests/test_orientation.py /^ def test_inverse(self, device):$/;" m class:TestOrientationCase +test_inverse tests/test_random_order.py /^ def test_inverse(self, transform, invertible, use_metatensor):$/;" m class:TestRandomOrder +test_inverse tests/test_resample_to_match.py /^ def test_inverse(self):$/;" m class:TestResampleToMatch +test_inverse tests/test_some_of.py /^ def test_inverse(self, transform, invertible, use_metatensor):$/;" m class:TestSomeOf +test_inverse tests/test_spacing.py /^ def test_inverse(self, device, recompute, align, scale_extent):$/;" m class:TestSpacingCase +test_inverse tests/test_spatial_resample.py /^ def test_inverse(self, img, device, data_param, expected_output):$/;" m class:TestSpatialResample +test_inverse_array tests/test_inverse_array.py /^ def test_inverse_array(self, use_compose: bool, dtype: torch.dtype, device: torch.device):$/;" m class:TestInverseArray +test_inverse_compose tests/test_one_of.py /^ def test_inverse_compose(self):$/;" m class:TestOneOf +test_inverse_inferred_seg tests/test_inverse.py /^ def test_inverse_inferred_seg(self, extra_transform):$/;" m class:TestInverse +test_inverse_metatensor tests/test_one_of.py /^ def test_inverse_metatensor(self):$/;" m class:TestOneOf +test_inverse_mn_mx tests/test_spacing.py /^ def test_inverse_mn_mx(self, device, recompute, align, scale_extent):$/;" m class:TestSpacingCase +test_inverse_pending_ops tests/test_crop_foreground.py /^ def test_inverse_pending_ops(self, input_param, image, _expected_data, align_corners):$/;" m class:TestCropForeground +test_invert tests/test_invert.py /^ def test_invert(self):$/;" m class:TestInvert +test_invert tests/test_invertd.py /^ def test_invert(self):$/;" m class:TestInvertd +test_invert_warn_pending tests/test_invert.py /^ def test_invert_warn_pending(self):$/;" m class:TestInvert +test_is_import_stmt tests/test_config_item.py /^ def test_is_import_stmt(self, stmt, expected):$/;" m class:TestConfigItem +test_is_quick tests/utils.py /^def test_is_quick():$/;" f +test_is_randomizable_transform_type tests/test_randomizable_transform_type.py /^ def test_is_randomizable_transform_type(self):$/;" m class:TestRandomizableTransformType +test_item tests/test_config_item.py /^ def test_item(self, test_input, expected):$/;" m class:TestConfigItem +test_iter_patch tests/test_grid_dataset.py /^ def test_iter_patch(self, in_type, cb):$/;" m class:TestGridPatchDataset +test_itk_benchmark tests/test_warp.py /^ def test_itk_benchmark(self):$/;" m class:TestWarp +test_itk_dicom_series_reader tests/test_ensure_channel_first.py /^ def test_itk_dicom_series_reader(self):$/;" m class:TestEnsureChannelFirst +test_itk_dicom_series_reader tests/test_load_image.py /^ def test_itk_dicom_series_reader(self, input_param, filenames, expected_shape, expected_np_s/;" m class:TestLoadImage +test_itk_dicom_series_reader_single tests/test_load_image.py /^ def test_itk_dicom_series_reader_single(self):$/;" m class:TestLoadImage +test_itk_meta tests/test_load_image.py /^ def test_itk_meta(self):$/;" m class:TestLoadImage +test_itk_reader tests/test_load_image.py /^ def test_itk_reader(self, input_param, filenames, expected_shape):$/;" m class:TestLoadImage +test_itk_reader_multichannel tests/test_load_image.py /^ def test_itk_reader_multichannel(self):$/;" m class:TestLoadImage +test_json tests/test_bundle_utils.py /^test_json = """$/;" v +test_json tests/test_hashing.py /^ def test_json(self):$/;" m class:TestJSONHashing +test_k tests/test_rand_rotate90.py /^ def test_k(self):$/;" m class:TestRandRotate90 +test_k tests/test_rand_rotate90d.py /^ def test_k(self):$/;" m class:TestRandRotate90d +test_k tests/test_rotate90.py /^ def test_k(self):$/;" m class:TestRotate90 +test_k tests/test_rotate90.py /^ def test_k(self):$/;" m class:TestRotate903d +test_k tests/test_rotate90d.py /^ def test_k(self):$/;" m class:TestRotate90d +test_keep_size tests/test_rand_zoom.py /^ def test_keep_size(self):$/;" m class:TestRandZoom +test_keep_size tests/test_rand_zoomd.py /^ def test_keep_size(self):$/;" m class:TestRandZoomd +test_keep_size tests/test_zoom.py /^ def test_keep_size(self):$/;" m class:TestZoom +test_keep_size tests/test_zoomd.py /^ def test_keep_size(self):$/;" m class:TestZoomd +test_kernels_strides tests/test_hovernet.py /^ def test_kernels_strides(self):$/;" m class:TestHoverNet +test_keys tests/test_map_transform.py /^ def test_keys(self, keys, expected):$/;" m class:TestRandomizable +test_kitty_pretrained tests/test_efficientnet.py /^ def test_kitty_pretrained(self, input_param, image_path, expected_label):$/;" m class:TestEFFICIENTNET +test_kwargs tests/test_load_image.py /^ def test_kwargs(self):$/;" m class:TestLoadImage +test_kwargs tests/test_monai_utils_misc.py /^ def test_kwargs(self):$/;" m class:TestMiscKwargs +test_kwargs tests/test_numpy_reader.py /^ def test_kwargs(self):$/;" m class:TestNumpyReader +test_label_stats_case_analyzer tests/test_auto3dseg.py /^ def test_label_stats_case_analyzer(self):$/;" m class:TestDataAnalyzer +test_label_stats_summary_analyzer tests/test_auto3dseg.py /^ def test_label_stats_summary_analyzer(self):$/;" m class:TestDataAnalyzer +test_lambda_identity tests/test_lambda.py /^ def test_lambda_identity(self):$/;" m class:TestLambda +test_lambda_reference tests/test_config_parser.py /^ def test_lambda_reference(self):$/;" m class:TestConfigParser +test_lambda_slicing tests/test_lambda.py /^ def test_lambda_slicing(self):$/;" m class:TestLambda +test_lambda_track_meta_false tests/test_lambda.py /^ def test_lambda_track_meta_false(self):$/;" m class:TestLambda +test_lambdad_identity tests/test_lambdad.py /^ def test_lambdad_identity(self):$/;" m class:TestLambdad +test_lambdad_slicing tests/test_lambdad.py /^ def test_lambdad_slicing(self):$/;" m class:TestLambdad +test_lambdad_track_meta_false tests/test_lambdad.py /^ def test_lambdad_track_meta_false(self):$/;" m class:TestLambdad +test_lazy tests/test_resample_to_matchd.py /^ def test_lazy(self):$/;" m class:TestResampleToMatchd +test_lazy_error tests/test_crop_foreground.py /^ def test_lazy_error(self, input_param, image, _expected_data, align_corners):$/;" m class:TestCropForeground +test_lazy_error tests/test_spatial_crop.py /^ def test_lazy_error(self, input_param, input_shape, _):$/;" m class:TestSpatialCrop +test_lazy_instantiation tests/test_config_item.py /^ def test_lazy_instantiation(self):$/;" m class:TestConfigItem +test_learnable_pos_embed tests/test_patchembedding.py /^ def test_learnable_pos_embed(self):$/;" m class:TestPatchEmbeddingBlock +test_len_and_flatten tests/test_one_of.py /^ def test_len_and_flatten(self):$/;" m class:TestOneOf +test_linear_consistent tests/test_meta_affine.py /^ def test_linear_consistent(self, xform_cls, input_dict, atol):$/;" m class:TestAffineConsistencyITK +test_linear_consistent_dict tests/test_meta_affine.py /^ def test_linear_consistent_dict(self, xform_cls, input_dict, atol):$/;" m class:TestAffineConsistencyITK +test_linear_scheduler tests/test_handler_parameter_scheduler.py /^ def test_linear_scheduler(self):$/;" m class:TestHandlerParameterScheduler +test_list_dict_compose tests/test_compose.py /^ def 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+test_load_ckpt tests/test_mmar_download.py /^ def test_load_ckpt(self, input_args, expected_name, expected_val):$/;" m class:TestMMMARDownload +test_load_config_dir tests/test_bundle_utils.py /^ def test_load_config_dir(self):$/;" m class:TestLoadBundleConfig +test_load_config_ts tests/test_bundle_utils.py /^ def test_load_config_ts(self):$/;" m class:TestLoadBundleConfig +test_load_config_zip tests/test_bundle_utils.py /^ def test_load_config_zip(self):$/;" m class:TestLoadBundleConfig +test_load_file tests/test_npzdictitemdataset.py /^ def test_load_file(self):$/;" m class:TestNPZDictItemDataset +test_load_image tests/test_init_reader.py /^ def test_load_image(self):$/;" m class:TestInitLoadImage +test_load_net_with_metadata tests/test_torchscript_utils.py /^ def test_load_net_with_metadata(self):$/;" m class:TestTorchscript +test_load_net_with_metadata_with_extra tests/test_torchscript_utils.py /^ def test_load_net_with_metadata_with_extra(self):$/;" m class:TestTorchscript +test_load_nifti tests/test_ensure_channel_first.py /^ def test_load_nifti(self, input_param, filenames, original_channel_dim):$/;" m class:TestEnsureChannelFirst +test_load_nifti tests/test_ensure_channel_firstd.py /^ def test_load_nifti(self, input_param, filenames, original_channel_dim):$/;" m class:TestEnsureChannelFirstd +test_load_nifti_multichannel tests/test_load_image.py /^ def test_load_nifti_multichannel(self):$/;" m class:TestLoadImage +test_load_png tests/test_ensure_channel_first.py /^ def test_load_png(self):$/;" m class:TestEnsureChannelFirst +test_load_png tests/test_ensure_channel_firstd.py /^ def test_load_png(self):$/;" m class:TestEnsureChannelFirstd +test_load_png tests/test_load_image.py /^ def test_load_png(self):$/;" m class:TestLoadImage +test_load_spacingd tests/test_load_spacing_orientation.py /^ def test_load_spacingd(self, filename):$/;" m class:TestLoadSpacingOrientation +test_load_spacingd_non_diag tests/test_load_spacing_orientation.py /^ def test_load_spacingd_non_diag(self):$/;" m class:TestLoadSpacingOrientation +test_load_spacingd_non_diag_ornt tests/test_load_spacing_orientation.py /^ def test_load_spacingd_non_diag_ornt(self):$/;" m class:TestLoadSpacingOrientation +test_load_spacingd_rotate tests/test_load_spacing_orientation.py /^ def test_load_spacingd_rotate(self, filename):$/;" m class:TestLoadSpacingOrientation +test_load_spacingd_rotate_non_diag tests/test_load_spacing_orientation.py /^ def test_load_spacingd_rotate_non_diag(self):$/;" m class:TestLoadSpacingOrientation +test_load_spacingd_rotate_non_diag_ornt tests/test_load_spacing_orientation.py /^ def test_load_spacingd_rotate_non_diag_ornt(self):$/;" m class:TestLoadSpacingOrientation +test_load_state_dict tests/test_handler_checkpoint_saver.py /^ def test_load_state_dict(self):$/;" m class:TestHandlerCheckpointSaver +test_load_stream tests/test_npzdictitemdataset.py /^ def test_load_stream(self):$/;" m class:TestNPZDictItemDataset +test_load_ts_module tests/test_bundle_download.py /^ def test_load_ts_module(self, bundle_files, bundle_name, version, repo, device, model_file):$/;" m class:TestLoad +test_load_weights tests/test_bundle_download.py /^ def test_load_weights(self, bundle_files, bundle_name, repo, device, model_file):$/;" m class:TestLoad +test_load_weights_with_net_override tests/test_bundle_download.py /^ def test_load_weights_with_net_override(self, bundle_name, device, net_override):$/;" m class:TestLoad +test_loading_array tests/test_grid_dataset.py /^ def test_loading_array(self):$/;" m class:TestGridPatchDataset +test_loading_array tests/test_patch_dataset.py /^ def test_loading_array(self):$/;" m class:TestPatchDataset +test_loading_dict tests/test_grid_dataset.py /^ def test_loading_dict(self):$/;" m class:TestGridPatchDataset +test_loading_mmar tests/ngc_bundle_download.py /^ def test_loading_mmar(self, item):$/;" m class:TestAllDownloadingMMAR +test_local_inversion tests/utils.py /^def test_local_inversion(invertible_xform, to_invert, im, dict_key=None):$/;" f +test_locate tests/test_component_locator.py /^ def test_locate(self):$/;" m class:TestComponentLocator +test_logfile tests/test_handler_logfile.py /^ def test_logfile(self):$/;" m class:TestHandlerLogfile +test_longest_infinite_decimals tests/test_resize.py /^ def test_longest_infinite_decimals(self):$/;" m class:TestResize +test_longest_shape tests/test_resize.py /^ def test_longest_shape(self, input_param, expected_shape):$/;" m class:TestResize +test_longest_shape tests/test_resized.py /^ def test_longest_shape(self, input_param, expected_shape):$/;" m class:TestResized +test_look_up tests/test_look_up_option.py /^ def test_look_up(self, input_str, supported, expected):$/;" m class:TestLookUpOption +test_loss tests/test_nvtx_decorator.py /^ def test_loss(self, input):$/;" m class:TestNVTXRangeDecorator +test_loss_dict tests/test_handler_stats.py /^ def test_loss_dict(self):$/;" m class:TestHandlerStats +test_loss_file tests/test_handler_stats.py /^ def test_loss_file(self):$/;" m class:TestHandlerStats +test_loss_fn tests/test_handler_ignite_metric.py /^ def test_loss_fn(self, loss_params, metric_params, handler_params, expected_avg):$/;" m class:TestHandlerIgniteMetricHandler +test_loss_logic tests/test_adversarial_loss.py /^ def test_loss_logic(self, input_param: dict, shape_input: list):$/;" m class:TestPatchAdversarialLoss +test_loss_print tests/test_handler_stats.py /^ def test_loss_print(self, iteration_log):$/;" m class:TestHandlerStats +test_lr_finder tests/test_lr_finder.py /^ def test_lr_finder(self):$/;" m class:TestLRFinder +test_lr_values tests/test_generate_param_groups.py /^ def test_lr_values(self, input_param, expected_values, expected_groups):$/;" m class:TestGenerateParamGroups +test_macro_replace tests/test_config_parser.py /^ def test_macro_replace(self):$/;" m class:TestConfigParser +test_make_nifti tests/test_make_nifti.py /^ def test_make_nifti(self, params):$/;" m class:TestMakeNifti +test_many_elements_quantile tests/test_utils_pytorch_numpy_unification.py /^ def test_many_elements_quantile(self): # pytorch#64947$/;" m class:TestPytorchNumpyUnification +test_map_transform tests/test_with_allow_missing_keys.py /^ def test_map_transform(self):$/;" m class:TestWithAllowMissingKeysMode +test_mask tests/test_intensity_stats.py /^ def test_mask(self):$/;" m class:TestIntensityStats +test_mask tests/test_intensity_statsd.py /^ def test_mask(self):$/;" m class:TestIntensityStatsd +test_mask tests/test_kspace_mask.py /^ def test_mask(self, test_data):$/;" m class:TestMRIUtils +test_max_channel tests/test_add_coordinate_channels.py /^ def test_max_channel(self, input_param, input):$/;" m class:TestAddCoordinateChannels +test_max_channel tests/test_add_coordinate_channelsd.py /^ def test_max_channel(self, input_param, input):$/;" m class:TestAddCoordinateChannels +test_max_none tests/test_scale_intensity.py /^ def test_max_none(self):$/;" m class:TestScaleIntensity +test_mcfcn_shape tests/test_ahnet.py /^ def test_mcfcn_shape(self, input_param, input_shape, expected_shape):$/;" m class:TestMCFCN +test_mcfcn_shape tests/test_ahnet.py /^ def test_mcfcn_shape(self, input_param, input_shape, expected_shape):$/;" m class:TestMCFCNWithPretrain +test_medicalnet_on_2d_data tests/test_perceptual_loss.py /^ def test_medicalnet_on_2d_data(self):$/;" m class:TestPerceptualLoss +test_memory tests/test_delete_itemsd.py /^ def test_memory(self, input_param, expected_key_size):$/;" m class:TestDeleteItemsd +test_memory tests/test_select_itemsd.py /^ def test_memory(self, input_param, expected_key_size):$/;" m class:TestSelectItemsd +test_merging_mode tests/test_swin_unetr.py /^test_merging_mode = ["mergingv2", "merging", PatchMerging, PatchMergingV2]$/;" v +test_meta_dict tests/test_flipd.py /^ def test_meta_dict(self):$/;" m class:TestFlipd +test_meta_file tests/testing_data/data_config.json /^ "test_meta_file": {$/;" o object:configs +test_metatensor tests/test_gdsdataset.py /^ def test_metatensor(self):$/;" m class:TestDataset +test_metatensor_values tests/test_concat_itemsd.py /^ def test_metatensor_values(self):$/;" m class:TestConcatItemsd +test_meth_except1 tests/test_deprecated.py /^ def test_meth_except1(self):$/;" m class:TestDeprecated +test_meth_warning1 tests/test_deprecated.py /^ def test_meth_warning1(self):$/;" m class:TestDeprecated +test_metric_fn tests/test_handler_ignite_metric.py /^ def test_metric_fn(self, loss_params, metric_params, handler_params, expected_avg):$/;" m class:TestHandlerIgniteMetricHandler +test_metric_logging tests/test_handler_metric_logger.py /^ def test_metric_logging(self):$/;" m class:TestHandlerMetricLogger +test_metrics_print tests/test_handler_stats.py /^ def test_metrics_print(self, epoch_log):$/;" m class:TestHandlerStats +test_metrics_print tests/test_handler_tb_stats.py /^ def test_metrics_print(self):$/;" m class:TestHandlerTBStats +test_metrics_print_mock tests/test_handler_tb_stats.py /^ def test_metrics_print_mock(self, epoch_log):$/;" m class:TestHandlerTBStats +test_metrics_track tests/test_handler_mlflow.py /^ def test_metrics_track(self):$/;" m class:TestHandlerMLFlow +test_metrics_track_iters_mock tests/test_handler_mlflow.py /^ def test_metrics_track_iters_mock(self, iteration_log):$/;" m class:TestHandlerMLFlow +test_metrics_track_mock tests/test_handler_mlflow.py /^ def test_metrics_track_mock(self, epoch_log):$/;" m class:TestHandlerMLFlow +test_metrics_writer tests/test_handler_tb_stats.py /^ def test_metrics_writer(self):$/;" m class:TestHandlerTBStats +test_metrics_writer_mock tests/test_handler_tb_stats.py /^ def test_metrics_writer_mock(self, iteration_log):$/;" m class:TestHandlerTBStats +test_mixop_2d tests/test_dints_mixop.py /^ def test_mixop_2d(self, input_param, ops, weight, input_shape, expected_shape):$/;" m class:TestMixOP +test_mixop_3d tests/test_dints_mixop.py /^ def test_mixop_3d(self, input_param, ops, weight, input_shape, expected_shape):$/;" m class:TestMixOP +test_mixup tests/test_regularization.py /^ def test_mixup(self):$/;" m class:TestMixup +test_mixupd tests/test_regularization.py /^ def test_mixupd(self):$/;" m class:TestMixup +test_mkdir tests/test_folder_layout.py /^ def test_mkdir(self):$/;" m class:TestFolderLayout +test_mode tests/test_utils_pytorch_numpy_unification.py /^ def test_mode(self, array, expected, to_long):$/;" m class:TestPytorchNumpyUnification +test_monai_activations_value_shape tests/test_activations.py /^ def test_monai_activations_value_shape(self, input_param, img, out, expected_shape):$/;" m class:TestActivations +test_monai_env_vars tests/test_monai_env_vars.py /^ def test_monai_env_vars(self):$/;" m class:TestMONAIEnvVars +test_monai_to_itk tests/test_itk_torch_bridge.py /^ def test_monai_to_itk(self, filepath):$/;" m class:TestITKTorchAffineMatrixBridge +test_monaihosting_source_download_bundle tests/test_bundle_download.py /^ def 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tests/test_ultrasound_confidence_map_transform.py /^ def test_multi_channel_2d(self):$/;" m class:TestUltrasoundConfidenceMapTransform +test_multi_class_seg_2d tests/test_focal_loss.py /^ def test_multi_class_seg_2d(self):$/;" m class:TestFocalLoss +test_multi_dicom tests/test_load_imaged.py /^ def test_multi_dicom(self):$/;" m class:TestConsistency +test_multi_in_single_out tests/test_adaptors.py /^ def test_multi_in_single_out(self):$/;" m class:TestAdaptors +test_multi_out tests/test_adaptors.py /^ def test_multi_out(self):$/;" m class:TestAdaptors +test_multi_run tests/test_handler_mlflow.py /^ def test_multi_run(self):$/;" m class:TestHandlerMLFlow +test_multi_thread tests/test_handler_mlflow.py /^ def test_multi_thread(self):$/;" m class:TestHandlerMLFlow +test_multioutput tests/test_sliding_window_hovernet_inference.py /^ def test_multioutput(self, inputs):$/;" m class:TestSlidingWindowHoVerNetInference +test_multioutput tests/test_sliding_window_inference.py /^ def 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+test_multistep_scheduler tests/test_handler_parameter_scheduler.py /^ def test_multistep_scheduler(self):$/;" m class:TestHandlerParameterScheduler +test_my_reader tests/test_load_image.py /^ def test_my_reader(self):$/;" m class:TestLoadImage +test_n_trans tests/test_cachentransdataset.py /^ def test_n_trans(self, transform, expected_shape):$/;" m class:TestCacheNTransDataset +test_naive_predictor tests/test_retinanet_predict_utils.py /^ def test_naive_predictor(self, input_param, input_shape):$/;" m class:TestPredictor +test_naive_retina_detector_shape tests/test_retinanet_detector.py /^ def test_naive_retina_detector_shape(self, input_param, input_shape):$/;" m class:TestRetinaNetDetector +test_nans tests/test_compute_generalized_dice.py /^ def test_nans(self, input_data, expected_value):$/;" m class:TestComputeGeneralizedDiceScore +test_nans tests/test_compute_meandice.py /^ def test_nans(self, input_data, expected_value):$/;" m class:TestComputeMeanDice +test_nans tests/test_compute_meaniou.py /^ def test_nans(self, input_data, expected_value):$/;" m class:TestComputeMeanIoU +test_nans tests/test_hausdorff_distance.py /^ def test_nans(self, input_data):$/;" m class:TestHausdorffDistance +test_nans tests/test_surface_distance.py /^ def test_nans(self, input_data):$/;" m class:TestAllSurfaceMetrics +test_nans_class tests/test_compute_generalized_dice.py /^ def test_nans_class(self, params, input_data, expected_value):$/;" m class:TestComputeGeneralizedDiceScore +test_nans_class tests/test_compute_meandice.py /^ def test_nans_class(self, params, input_data, expected_value):$/;" m class:TestComputeMeanDice +test_nans_class tests/test_compute_meaniou.py /^ def test_nans_class(self, params, input_data, expected_value):$/;" m class:TestComputeMeanIoU +test_native_type tests/test_get_equivalent_dtype.py /^ def test_native_type(self):$/;" m class:TestGetEquivalentDtype +test_neg_stride tests/test_convert_data_type.py /^ def test_neg_stride(self):$/;" m class:TestConvertDataType +test_network tests/test_nvtx_decorator.py /^ def test_network(self, input):$/;" m class:TestNVTXRangeDecorator +test_network_consistency tests/test_network_consistency.py /^ def test_network_consistency(self, net_name, data_path, json_path):$/;" m class:TestNetworkConsistency +test_ngc_download_bundle tests/ngc_bundle_download.py /^ def test_ngc_download_bundle(self, bundle_name, version, remove_prefix, download_name, file_/;" m class:TestNgcBundleDownload +test_nibabel_reader tests/test_load_image.py /^ def test_nibabel_reader(self, input_param, filenames, expected_shape):$/;" m class:TestLoadImage +test_nnunetv2runner tests/test_integration_nnunetv2_runner.py /^ def test_nnunetv2runner(self) -> None:$/;" m class:TestnnUNetV2Runner typeref:typename:None +test_no_channel tests/test_itk_writer.py /^ def test_no_channel(self):$/;" m class:TestITKWriter +test_no_fft_module_error tests/test_detect_envelope.py /^ def test_no_fft_module_error(self):$/;" m class:TestHilbertTransformNoFFTMod +test_no_fft_module_error tests/test_hilbert_transform.py /^ def test_no_fft_module_error(self):$/;" m class:TestHilbertTransformNoFFTMod +test_no_file tests/test_load_imaged.py /^ def test_no_file(self):$/;" m class:TestLoadImaged +test_no_files tests/test_load_image.py /^ def test_no_files(self):$/;" m class:TestLoadImage +test_no_first_dim tests/test_ultrasound_confidence_map_transform.py /^ def test_no_first_dim(self):$/;" m class:TestUltrasoundConfidenceMapTransform +test_no_found tests/test_look_up_option.py /^ def test_no_found(self):$/;" m class:TestLookUpOption +test_no_input tests/test_adn.py /^ def test_no_input(self):$/;" m class:TestADN2D +test_no_key tests/test_rand_rotate90d.py /^ def test_no_key(self):$/;" m class:TestRandRotate90d +test_no_key tests/test_rotate90d.py /^ def test_no_key(self):$/;" m class:TestRotate90d +test_no_name tests/test_resample_to_match.py /^ def test_no_name(self):$/;" m class:TestResampleToMatch +test_no_opencv_raises tests/test_video_datasets.py /^ def test_no_opencv_raises(self):$/;" m class:Base.TestVideoDataset +test_no_randomize tests/test_rand_affine.py /^ def test_no_randomize(self, initial_randomize, cache_grid):$/;" m class:TestRandAffine +test_no_weights_arg tests/test_one_of.py /^ def test_no_weights_arg(self):$/;" m class:TestOneOf +test_no_weights_arg tests/test_some_of.py /^ def test_no_weights_arg(self):$/;" m class:TestSomeOf +test_non_config tests/test_bundle_workflow.py /^ def test_non_config(self):$/;" m class:TestBundleWorkflow +test_non_config_wrong_log_cases tests/test_bundle_workflow.py /^ def test_non_config_wrong_log_cases(self, meta_file, logging_file, expected_error):$/;" m class:TestBundleWorkflow +test_non_default_shapes tests/test_efficientnet.py /^ def test_non_default_shapes(self, input_param, input_shape, expected_shape):$/;" m class:TestEFFICIENTNET +test_non_dict_compose tests/test_compose.py /^ def test_non_dict_compose(self):$/;" m class:TestCompose +test_non_dict_compose_with_unpack tests/test_compose.py /^ def test_non_dict_compose_with_unpack(self):$/;" m class:TestCompose +test_non_dict_metatensor tests/test_some_of.py /^ def test_non_dict_metatensor(self):$/;" m class:TestSomeOf +test_non_one_first_dim tests/test_ultrasound_confidence_map_transform.py /^ def test_non_one_first_dim(self):$/;" m class:TestUltrasoundConfidenceMapTransform +test_non_str_target tests/test_config_parser.py /^ def test_non_str_target(self):$/;" m class:TestConfigParser +test_nonzero tests/test_normalize_intensity.py /^ def test_nonzero(self, in_type, input_param, input_data, expected_data):$/;" m class:TestNormalizeIntensity +test_nonzero tests/test_normalize_intensityd.py /^ def test_nonzero(self, input_param, input_data, expected_data):$/;" m class:TestNormalizeIntensityd +test_nonzero tests/test_std_shift_intensity.py /^ def test_nonzero(self):$/;" m class:TestStdShiftIntensity +test_nonzero tests/test_std_shift_intensityd.py /^ def test_nonzero(self):$/;" m class:TestStdShiftIntensityd +test_norm_false tests/test_gaussian.py /^ def test_norm_false(self, variance, expected):$/;" m class:TestGaussian1d +test_norm_layer tests/test_get_layers.py /^ def test_norm_layer(self, input_param, expected):$/;" m class:TestGetLayers +test_norm_xform tests/test_affine_transform.py /^ def test_norm_xform(self, input_shape, align_corners, expected, zero_centered=False):$/;" m class:TestNormTransform +test_normalize_weights tests/test_one_of.py /^ def test_normalize_weights(self, transforms, input_weights, expected_weights):$/;" m class:TestOneOf +test_normalize_weights tests/test_some_of.py /^ def test_normalize_weights(self):$/;" m class:TestSomeOf +test_not_predicted_not_present tests/test_surface_dice.py /^ def test_not_predicted_not_present(self):$/;" m class:TestAllSurfaceDiceMetrics +test_npy tests/test_numpy_reader.py /^ def test_npy(self):$/;" m class:TestNumpyReader +test_npy_pickle tests/test_numpy_reader.py /^ def test_npy_pickle(self):$/;" m class:TestNumpyReader +test_npz1 tests/test_numpy_reader.py /^ def test_npz1(self):$/;" m class:TestNumpyReader +test_npz2 tests/test_numpy_reader.py /^ def test_npz2(self):$/;" m class:TestNumpyReader +test_npz3 tests/test_numpy_reader.py /^ def test_npz3(self):$/;" m class:TestNumpyReader +test_num_samples tests/test_weighted_random_sampler_dist.py /^ def test_num_samples(self):$/;" m class:DistributedWeightedRandomSamplerTest +test_number_of_dimensions_less_than_2_should_raise_error tests/test_compute_f_beta.py /^ def test_number_of_dimensions_less_than_2_should_raise_error(self):$/;" m class:TestFBetaScore +test_numpy tests/test_meta_tensor.py /^ def test_numpy(self, device=None, dtype=None):$/;" m class:TestMetaTensor +test_numpy_input tests/test_to_cupy.py /^ def test_numpy_input(self):$/;" m class:TestToCupy +test_numpy_input tests/test_to_cupyd.py /^ def test_numpy_input(self):$/;" m class:TestToCupyd +test_numpy_input tests/test_to_numpy.py /^ def test_numpy_input(self):$/;" m class:TestToNumpy +test_numpy_input tests/test_to_numpyd.py /^ def test_numpy_input(self):$/;" m class:TestToNumpyd +test_numpy_input_dtype tests/test_to_cupy.py /^ def test_numpy_input_dtype(self):$/;" m class:TestToCupy +test_numpy_values tests/test_concat_itemsd.py /^ def test_numpy_values(self):$/;" m class:TestConcatItemsd +test_numpy_values tests/test_copy_itemsd.py /^ def test_numpy_values(self, keys, times, names):$/;" m class:TestCopyItemsd +test_nvtx_transfroms_alone tests/test_nvtx_transform.py /^ def test_nvtx_transfroms_alone(self, input):$/;" m class:TestNVTXTransforms +test_nvtx_transfroms_array tests/test_nvtx_transform.py /^ def test_nvtx_transfroms_array(self, input):$/;" m class:TestNVTXTransforms +test_nvtx_transfroms_dict tests/test_nvtx_transform.py /^ def test_nvtx_transfroms_dict(self, input):$/;" m class:TestNVTXTransforms +test_old_ignite_metric tests/test_handler_ignite_metric.py /^ def test_old_ignite_metric(self, input_param, input_data, expected_val):$/;" m class:TestHandlerIgniteMetricHandler +test_one_of tests/test_one_of.py /^ def test_one_of(self):$/;" m class:TestOneOf +test_one_range_input tests/test_rand_bias_field.py /^ def test_one_range_input(self, class_args, expected):$/;" m class:TestRandBiasField +test_one_range_input tests/test_rand_bias_fieldd.py /^ def test_one_range_input(self, class_args, expected):$/;" m class:TestRandBiasFieldd +test_one_save_one_load tests/test_handler_checkpoint_loader.py /^ def test_one_save_one_load(self):$/;" m class:TestHandlerCheckpointLoader +test_onnx tests/test_retinanet.py /^ def test_onnx(self, model, input_param, input_shape):$/;" m class:TestRetinaNet +test_onnx_export tests/test_bundle_onnx_export.py /^ def test_onnx_export(self, use_trace):$/;" m class:TestONNXExport +test_onnx_save tests/utils.py /^def test_onnx_save(net, *inputs, device=None, rtol=1e-4, atol=0.0):$/;" f +test_onnx_trt_export tests/test_bundle_trt_export.py /^ def test_onnx_trt_export(self, convert_precision, input_shape, dynamic_batch):$/;" m class:TestTRTExport +test_orientation tests/test_nifti_rw.py /^ def test_orientation(self, array, affine, reader_param, expected):$/;" m class:TestNiftiLoadRead +test_ornt_meta tests/test_orientation.py /^ def test_ornt_meta($/;" m class:TestOrientationCase +test_ornt_torch tests/test_orientation.py /^ def test_ornt_torch(self, init_param, img: torch.Tensor, track_meta: bool, device):$/;" m class:TestOrientationCase +test_orntd tests/test_orientationd.py /^ def test_orntd($/;" m class:TestOrientationdCase +test_orntd_torch tests/test_orientationd.py /^ def test_orntd_torch(self, init_param, img: torch.Tensor, track_meta: bool, device):$/;" m class:TestOrientationdCase +test_orntd_torch tests/test_spacingd.py /^ def test_orntd_torch(self, init_param, img: torch.Tensor, track_meta: bool, device):$/;" m class:TestSpacingDCase +test_out tests/test_meta_tensor.py /^ def test_out(self):$/;" m class:TestMetaTensor +test_output tests/test_hausdorff_distance.py /^ test_input, test_output = test_case # type: ignore$/;" v +test_output tests/test_pathology_prob_nms.py /^ def test_output(self, class_args, call_args, probs_map, expected):$/;" m class:TestPathologyProbNMS +test_output tests/test_probnms.py /^ def test_output(self, class_args, probs_map, expected):$/;" m class:TestProbNMS +test_output tests/test_probnmsd.py /^ def test_output(self, class_args, probs_map, expected):$/;" m class:TestProbNMS +test_output tests/test_watershed.py /^ def test_output(self, args, image, hover_map, expected_shape):$/;" m class:TestWatershed +test_output tests/test_watershedd.py /^ def test_output(self, args, image, hover_map, expected_shape):$/;" m class:TestWatershedd +test_output_shape tests/test_rand_bias_field.py /^ def test_output_shape(self, class_args, img_shape):$/;" m class:TestRandBiasField +test_output_shape tests/test_rand_bias_fieldd.py /^ def test_output_shape(self, class_args, img_shape):$/;" m class:TestRandBiasFieldd +test_output_str tests/test_query_memory.py /^ def test_output_str(self):$/;" m class:TestQueryMemory +test_pad tests/test_border_pad.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestBorderPad +test_pad tests/test_border_padd.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestBorderPadd +test_pad tests/test_divisible_pad.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestDivisiblePad +test_pad tests/test_divisible_padd.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestDivisiblePadd +test_pad tests/test_pad_mode.py /^ def test_pad(self):$/;" m class:TestPadMode +test_pad tests/test_recon_net_utils.py /^ def test_pad(self, test_data):$/;" m class:TestReconNetUtils +test_pad tests/test_spatial_pad.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestSpatialPad +test_pad tests/test_spatial_padd.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestSpatialPadd +test_pad_collation tests/test_pad_collation.py /^ def test_pad_collation(self, t_type, collate_method, transform):$/;" m class:TestPadCollation +test_pad_kwargs tests/test_border_pad.py /^ def test_pad_kwargs(self):$/;" m class:TestBorderPad +test_pad_kwargs tests/test_divisible_pad.py /^ def test_pad_kwargs(self):$/;" m class:TestDivisiblePad +test_pad_kwargs tests/test_spatial_pad.py /^ def test_pad_kwargs(self):$/;" m class:TestSpatialPad +test_pad_shape tests/test_resize_with_pad_or_crop.py /^ def test_pad_shape(self, input_param, input_shape, expected_shape, _):$/;" m class:TestResizeWithPadOrCrop +test_pad_shape tests/test_resize_with_pad_or_cropd.py /^ def test_pad_shape(self, input_param, input_data, expected_val):$/;" m class:TestResizeWithPadOrCropd +test_padding_mode tests/test_zoom.py /^ def test_padding_mode(self):$/;" m class:TestZoom +test_pair_content tests/test_prepare_batch_default.py /^ def test_pair_content(self):$/;" m class:TestPrepareBatchDefault +test_parameters tests/test_ultrasound_confidence_map_transform.py /^ def test_parameters(self):$/;" m class:TestUltrasoundConfidenceMapTransform +test_parse tests/test_config_parser.py /^ def test_parse(self, config, expected_ids, output_types):$/;" m class:TestConfigParser +test_parse_json_raise tests/test_config_parser.py /^ def test_parse_json_raise(self, config_string, extension, _, __):$/;" m class:TestConfigParser +test_parse_json_warn tests/test_config_parser.py /^ def test_parse_json_warn(self, config_string, extension, expected_unique_val, expected_dupli/;" m class:TestConfigParser +test_partial_over_load tests/test_handler_checkpoint_loader.py /^ def test_partial_over_load(self):$/;" m class:TestHandlerCheckpointLoader +test_partial_under_load tests/test_handler_checkpoint_loader.py /^ def test_partial_under_load(self):$/;" m class:TestHandlerCheckpointLoader +test_pass_applied_operations tests/test_image_filter.py /^ def test_pass_applied_operations(self):$/;" m class:TestImageFilter +test_pass_empty_metadata_dict tests/test_image_filter.py /^ def test_pass_empty_metadata_dict(self):$/;" m class:TestImageFilter +test_patch_inferer_dict tests/test_patch_inferer.py /^ def test_patch_inferer_dict(self, inputs, arguments, network, expected):$/;" m class:PatchInfererTests +test_patch_inferer_errors tests/test_patch_inferer.py /^ def test_patch_inferer_errors(self, inputs, arguments, expected_error):$/;" m class:PatchInfererTests +test_patch_inferer_list_tensor tests/test_patch_inferer.py /^ def test_patch_inferer_list_tensor(self, inputs, arguments, network, expected):$/;" m class:PatchInfererTests +test_patch_inferer_tensor tests/test_patch_inferer.py /^ def test_patch_inferer_tensor(self, inputs, arguments, network, expected):$/;" m class:PatchInfererTests +test_patch_iter tests/test_grid_dataset.py /^ def test_patch_iter(self, in_type, input_parameters, image, expected, coords):$/;" m class:TestGridPatchDataset +test_patch_iterd tests/test_grid_dataset.py /^ def test_patch_iterd(self, in_type, input_parameters, image, expected, coords):$/;" m class:TestGridPatchDataset +test_patch_merging tests/test_swin_unetr.py /^ def test_patch_merging(self):$/;" m class:TestSWINUNETR +test_pdb tests/test_config_parser.py /^ def test_pdb(self):$/;" m class:TestConfigParser +test_pending_ops tests/test_border_pad.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestBorderPad +test_pending_ops tests/test_border_padd.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestBorderPadd +test_pending_ops tests/test_center_scale_crop.py /^ def test_pending_ops(self, input_param, input_shape, _, align_corners):$/;" m class:TestCenterScaleCrop +test_pending_ops tests/test_center_scale_cropd.py /^ def test_pending_ops(self, input_param, input_shape, _, align_corners):$/;" m class:TestCenterScaleCropd +test_pending_ops tests/test_center_spatial_crop.py /^ def test_pending_ops(self, input_param, input_shape, _, align_corners):$/;" m class:TestCenterSpatialCrop +test_pending_ops tests/test_center_spatial_cropd.py /^ def test_pending_ops(self, input_param, input_shape, _expected_shape, _same_area):$/;" m class:TestCenterSpatialCropd +test_pending_ops tests/test_crop_foreground.py /^ def test_pending_ops(self, input_param, image, _expected_data, align_corners):$/;" m class:TestCropForeground +test_pending_ops tests/test_crop_foregroundd.py /^ def test_pending_ops(self, input_param, image, _expected_data, align_corners):$/;" m class:TestCropForegroundd +test_pending_ops tests/test_divisible_pad.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestDivisiblePad +test_pending_ops tests/test_divisible_padd.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestDivisiblePadd +test_pending_ops tests/test_meta_tensor.py /^ def test_pending_ops(self):$/;" m class:TestMetaTensor +test_pending_ops tests/test_rand_crop_by_label_classes.py /^ def test_pending_ops(self, input_param, input_data, _expected_type, _expected_shape):$/;" m class:TestRandCropByLabelClasses +test_pending_ops tests/test_rand_crop_by_label_classesd.py /^ def test_pending_ops(self, input_param, input_data, _expected_type, _expected_shape):$/;" m class:TestRandCropByLabelClassesd +test_pending_ops tests/test_rand_crop_by_pos_neg_label.py /^ def test_pending_ops(self, input_param, input_data, _expected_shape):$/;" m class:TestRandCropByPosNegLabel +test_pending_ops tests/test_rand_crop_by_pos_neg_labeld.py /^ def test_pending_ops(self, input_param, input_data, _expected_shape):$/;" m class:TestRandCropByPosNegLabeld +test_pending_ops tests/test_rand_scale_crop.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestRandScaleCrop +test_pending_ops tests/test_rand_scale_cropd.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestRandScaleCropd +test_pending_ops tests/test_rand_spatial_crop.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestRandSpatialCrop +test_pending_ops tests/test_rand_spatial_crop_samples.py /^ def test_pending_ops(self, input_param, input_shape, _expected_shape, _expected_last_item):$/;" m class:TestRandSpatialCropSamples +test_pending_ops tests/test_rand_spatial_crop_samplesd.py /^ def test_pending_ops(self, input_param, input_data, _expected_shape, _expected_last):$/;" m class:TestRandSpatialCropSamplesd +test_pending_ops tests/test_rand_spatial_cropd.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestRandSpatialCropd +test_pending_ops tests/test_rand_weighted_crop.py /^ def test_pending_ops(self, _, input_param, img, weight, expected_shape, expected_vals):$/;" m class:TestRandWeightedCrop +test_pending_ops tests/test_rand_weighted_cropd.py /^ def test_pending_ops(self, _, input_param, input_data, expected_shape, expected_centers):$/;" m class:TestRandWeightedCrop +test_pending_ops tests/test_resize_with_pad_or_crop.py /^ def test_pending_ops(self, input_param, input_shape, _expected_data, align_corners):$/;" m class:TestResizeWithPadOrCrop +test_pending_ops tests/test_resize_with_pad_or_cropd.py /^ def test_pending_ops(self, input_param, input_data, _expected_data):$/;" m class:TestResizeWithPadOrCropd +test_pending_ops tests/test_spatial_crop.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestSpatialCrop +test_pending_ops tests/test_spatial_cropd.py /^ def test_pending_ops(self, input_param, input_shape, _expected_shape, _same_area):$/;" m class:TestSpatialCropd +test_pending_ops tests/test_spatial_pad.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestSpatialPad +test_pending_ops tests/test_spatial_padd.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestSpatialPadd +test_pending_ops tests/test_zoom.py /^ def test_pending_ops(self, zoom, mode, align_corners=False, keep_size=False):$/;" m class:TestZoom +test_percentile tests/test_utils_pytorch_numpy_unification.py /^ def test_percentile(self):$/;" m class:TestPytorchNumpyUnification +test_pickle tests/test_hashing.py /^ def test_pickle(self):$/;" m class:TestPickleHashing +test_pickling tests/test_meta_tensor.py /^ def test_pickling(self):$/;" m class:TestMetaTensor +test_pil tests/test_nifti_endianness.py /^ def test_pil(self):$/;" m class:TestNiftiEndianness +test_plot tests/test_threadcontainer.py /^ def test_plot(self):$/;" m class:TestThreadContainer +test_png tests/test_load_imaged.py /^ def test_png(self):$/;" m class:TestConsistency +test_precision tests/test_compute_confusion_matrix.py /^ def test_precision(self, input_data, expected_value):$/;" m class:TestConfusionMatrix +test_prediction_and_result_have_different_shape tests/test_compute_f_beta.py /^ def test_prediction_and_result_have_different_shape(self):$/;" m class:TestFBetaScore +test_preserve_range tests/test_scale_intensity_fixed_mean.py /^ def test_preserve_range(self, p):$/;" m class:TestScaleIntensityFixedMean +test_pretrain tests/test_flexible_unet.py /^ def test_pretrain(self, input_param, efficient_input_param, weight_list):$/;" m class:TestFLEXIBLEUNET +test_pretrain_consistency tests/test_densenet.py /^ def test_pretrain_consistency(self, model, input_param, input_shape):$/;" m class:TestPretrainedDENSENET +test_pretrain_consistency tests/test_senet.py /^ def test_pretrain_consistency(self, model, input_param):$/;" m class:TestPretrainedSENET +test_pretrained_networks tests/utils.py /^def test_pretrained_networks(network, input_param, device):$/;" f +test_print_info tests/test_print_info.py /^ def test_print_info(self):$/;" m class:TestPrintInfo +test_prob_k_spatial_axes tests/test_rand_rotate90.py /^ def test_prob_k_spatial_axes(self):$/;" m class:TestRandRotate90 +test_prob_k_spatial_axes tests/test_rand_rotate90d.py /^ def test_prob_k_spatial_axes(self):$/;" m class:TestRandRotate90d +test_prob_k_spatial_axes tests/test_rotate90.py /^ def test_prob_k_spatial_axes(self):$/;" m class:TestRotate90 +test_prob_k_spatial_axes tests/test_rotate90.py /^ def test_prob_k_spatial_axes(self):$/;" m class:TestRotate903d +test_prob_k_spatial_axes tests/test_rotate90d.py /^ def test_prob_k_spatial_axes(self):$/;" m class:TestRotate90d +test_prob_map_generator tests/test_handler_prob_map_producer.py /^ def test_prob_map_generator(self, name, size):$/;" m class:TestHandlerProbMapGenerator +test_profile_callable tests/test_profiling.py /^ def test_profile_callable(self):$/;" m class:TestWorkflowProfiler +test_profile_context tests/test_profiling.py /^ def test_profile_context(self):$/;" m class:TestWorkflowProfiler +test_profile_iteration tests/test_profiling.py /^ def test_profile_iteration(self):$/;" m class:TestWorkflowProfiler +test_profile_multithread tests/test_profiling.py /^ def test_profile_multithread(self):$/;" m class:TestWorkflowProfiler +test_profile_transforms tests/test_profiling.py /^ def test_profile_transforms(self):$/;" m class:TestWorkflowProfiler +test_property_no_change tests/test_spacing.py /^ def test_property_no_change(self):$/;" m class:TestSpacingCase +test_public_api tests/test_module_list.py /^ def test_public_api(self):$/;" m class:TestAllImport +test_push_to_huggingface_hub tests/test_bundle_push_to_hf_hub.py /^ def test_push_to_huggingface_hub(self, repo, bundle_name, test_createrepo, test_uploadfolder/;" m class:TestPushToHuggingFaceHub +test_raise tests/test_transform.py /^ def test_raise(self):$/;" m class:TestTransform +test_raise_exception tests/test_label_filter.py /^ def test_raise_exception(self, _, args, input_image, expected_error):$/;" m class:TestLabelFilter +test_raise_exception tests/test_label_filterd.py /^ def test_raise_exception(self, _, args, input_image, expected_error):$/;" m class:TestLabelFilter +test_raises tests/test_compose_get_number_conversions.py /^ def test_raises(self):$/;" m class:TestComposeNumConversions +test_raises tests/test_replace_module.py /^ def test_raises(self):$/;" m class:TestReplaceModule +test_rand_2d_elastic tests/test_rand_elastic_2d.py /^ def test_rand_2d_elastic(self, input_param, input_data, expected_val):$/;" m class:TestRand2DElastic +test_rand_2d_elasticd tests/test_rand_elasticd_2d.py /^ def test_rand_2d_elasticd(self, input_param, input_data, expected_val):$/;" m class:TestRand2DElasticd +test_rand_3d_elastic tests/test_rand_elastic_3d.py /^ def test_rand_3d_elastic(self, input_param, input_data, expected_val):$/;" m class:TestRand3DElastic +test_rand_3d_elasticd tests/test_rand_elasticd_3d.py /^ def test_rand_3d_elasticd(self, input_param, input_data, expected_val):$/;" m class:TestRand3DElasticd +test_rand_affine tests/test_rand_affine.py /^ def test_rand_affine(self, input_param, input_data, expected_val):$/;" m 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/^ def test_sink_mask(self):$/;" m class:TestUltrasoundConfidenceMapTransform +test_sink_mid tests/test_ultrasound_confidence_map_transform.py /^ def test_sink_mid(self):$/;" m class:TestUltrasoundConfidenceMapTransform +test_sink_min tests/test_ultrasound_confidence_map_transform.py /^ def test_sink_min(self):$/;" m class:TestUltrasoundConfidenceMapTransform +test_skip_timing tests/test_timedcall_dist.py /^ def test_skip_timing(self):$/;" m class:TestTimedCall +test_skipped_transform_consistency tests/test_rand_affine.py /^ def test_skipped_transform_consistency(self, im, in_dtype):$/;" m class:TestRandAffine +test_slicing tests/test_config_parser.py /^ def test_slicing(self):$/;" m class:TestConfigParser +test_slicing tests/test_meta_tensor.py /^ def test_slicing(self):$/;" m class:TestMetaTensor +test_slicing tests/test_zipdataset.py /^ def test_slicing(self):$/;" m class:TestZipDataset +test_sliding_window_default tests/test_sliding_window_hovernet_inference.py /^ def 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BilateralFilterPHLCpu($/;" f typeref:typename:void -BilateralFilterPHLCuda monai/csrc/filtering/bilateral/bilateralfilter_cuda_phl.cu /^torch::Tensor BilateralFilterPHLCuda(torch::Tensor inputTensor, float spatialSigma, float colorS/;" f typeref:typename:torch::Tensor -BilateralFilterPHLCuda monai/csrc/filtering/bilateral/bilateralfilter_cuda_phl.cu /^void BilateralFilterPHLCuda($/;" f typeref:typename:template<typename scalar_t,int C,int D> void -BilateralFilterTestCaseCpuApprox tests/test_bilateral_approx_cpu.py /^class BilateralFilterTestCaseCpuApprox(unittest.TestCase):$/;" c -BilateralFilterTestCaseCpuPrecise tests/test_bilateral_precise.py /^class BilateralFilterTestCaseCpuPrecise(unittest.TestCase):$/;" c -BilateralFilterTestCaseCpuPrecise tests/test_trainable_bilateral.py /^class BilateralFilterTestCaseCpuPrecise(unittest.TestCase):$/;" c -BilateralFilterTestCaseCudaApprox tests/test_bilateral_approx_cuda.py /^class BilateralFilterTestCaseCudaApprox(unittest.TestCase):$/;" c 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class="viewcode-block" id="CastToType">$/;" I -CastToType docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -CastToType monai/transforms/utility/array.py /^class CastToType(Transform):$/;" c -CastToType.__call__ docs/build/html/_modules/monai/transforms/utility/array.html /^<div class="viewcode-block" id="CastToType.__call__">$/;" I -CastToType.__init__ docs/build/html/_modules/monai/transforms/utility/array.html /^<div class="viewcode-block" id="CastToType.__init__">$/;" I -CastToTypeD monai/transforms/utility/dictionary.py /^CastToTypeD = CastToTypeDict = CastToTyped$/;" v -CastToTyped docs/build/html/_modules/monai/transforms/utility/dictionary.html /^<div class="viewcode-block" id="CastToTyped">$/;" I -CastToTyped docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -CenterScaleCrop monai/transforms/croppad/array.py /^class CenterScaleCrop(Crop):$/;" c -CenterScaleCrop.__call__ docs/build/html/_modules/monai/transforms/croppad/array.html /^<div class="viewcode-block" id="CenterScaleCrop.__call__">$/;" I -CenterScaleCropD monai/transforms/croppad/dictionary.py /^CenterScaleCropD = CenterScaleCropDict = CenterScaleCropd$/;" v -CenterScaleCropd docs/build/html/_modules/monai/transforms/croppad/dictionary.html /^<div class="viewcode-block" id="CenterScaleCropd">$/;" I -CenterScaleCropd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -CenterScaleCropd monai/transforms/croppad/dictionary.py /^class CenterScaleCropd(Cropd):$/;" c -CenterSizeMode docs/build/html/_modules/monai/data/box_utils.html /^<div 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id="CenterSpatialCrop.__call__">$/;" I -CenterSpatialCrop.compute_slices docs/build/html/_modules/monai/transforms/croppad/array.html /^<div class="viewcode-block" id="CenterSpatialCrop.compute_slices">$/;" I -CenterSpatialCropD monai/transforms/croppad/dictionary.py /^CenterSpatialCropD = CenterSpatialCropDict = CenterSpatialCropd$/;" v -CenterSpatialCropd docs/build/html/_modules/monai/transforms/croppad/dictionary.html /^<div class="viewcode-block" id="CenterSpatialCropd">$/;" I -CenterSpatialCropd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -CenterSpatialCropd monai/transforms/croppad/dictionary.py /^class CenterSpatialCropd(Cropd):$/;" c -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.2.0] - 2020-07-02 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.3.0] - 2020-10-02 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.4.0] - 2020-12-15 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.5.0] - 2021-04-09 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.5.3] - 2021-05-28 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.6.0] - 2021-07-08 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.7.0] - 2021-09-24 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.8.0] - 2021-11-25 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.8.1] - 2022-02-16 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.9.0] - 2022-06-08 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[0.9.1] - 2022-07-22 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[1.0.0] - 2022-09-16 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[1.0.1] - 2022-10-24 -Changed CHANGELOG.md /^### Changed$/;" S section:Changelog""[1.1.0] - 2022-12-19 -Changed CHANGELOG.md /^### Changed$/;" S 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href="#factorizedreduceblock" title/;" j -FactorizedReduceBlock.__init__ docs/build/html/_modules/monai/networks/blocks/dints_block.html /^<div class="viewcode-block" id="FactorizedReduceBlock.__init__">$/;" I -FactorizedReduceBlock.forward docs/build/html/_modules/monai/networks/blocks/dints_block.html /^<div class="viewcode-block" id="FactorizedReduceBlock.forward">$/;" I -FastMRIKeys docs/build/html/_modules/monai/utils/enums.html /^<div class="viewcode-block" id="FastMRIKeys">$/;" I -FastMRIKeys monai/utils/enums.py /^class FastMRIKeys(StrEnum):$/;" c -FastMRIReader docs/build/html/_modules/monai/apps/reconstruction/fastmri_reader.html /^<div class="viewcode-block" id="FastMRIReader">$/;" I -FastMRIReader docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -FastMRIReader docs/source/apps.rst /^FastMRIReader$/;" s chapter:`Reconstruction` -FastMRIReader 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-FeaturePyramidNetwork.get_result_from_layer_blocks docs/build/html/_modules/monai/networks/blocks/feature_pyramid_network.html /^<div class="viewcode-block" id="FeaturePyramidNetwork.get_result_from_layer_blocks">$/;" I -Features README.md /^## Features$/;" s -Features docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -Features docs/source/index.rst /^Features$/;" s chapter:Project MONAI -Features# docs/build/html/index.html /^<h2>Features<a class="headerlink" href="#features" title="Link to this heading">#<\/a><\/h2>$/;" i -Federated Learning docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -Federated Learning docs/source/fl.rst /^Federated Learning$/;" H -Federated Learning docs/source/modules.md /^## Federated 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docs/build/html/_modules/monai/networks/nets/highresnet.html /^<div class="viewcode-block" id="HighResBlock.__init__">$/;" I -HighResBlock.forward docs/build/html/_modules/monai/networks/nets/highresnet.html /^<div class="viewcode-block" id="HighResBlock.forward">$/;" I -HighResNet docs/build/html/_modules/monai/networks/nets/highresnet.html /^<div class="viewcode-block" id="HighResNet">$/;" I -HighResNet docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -HighResNet monai/networks/nets/highresnet.py /^class HighResNet(nn.Module):$/;" c -HighResNet# docs/build/html/networks.html /^<h3><cite>HighResNet<\/cite><a class="headerlink" href="#highresnet" title="Link to this heading/;" j -HighResNet.forward docs/build/html/_modules/monai/networks/nets/highresnet.html /^<div class="viewcode-block" id="HighResNet.forward">$/;" I -Highlights docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -Highlights docs/source/highlights.rst /^Highlights$/;" H -Highlights — MONAI 1.3.1rc1 Documentation docs/build/html/highlights.html /^ <title>Highlights — MONAI 1.3.1rc1 Documentation<\/title>$/;" j -Highlights# docs/build/html/highlights.html /^<h1>Highlights<a class="headerlink" href="#highlights" title="Link to this heading">#<\/a><\/h1>$/;" h -HilbertTransform docs/build/html/_modules/monai/networks/layers/simplelayers.html /^<div class="viewcode-block" id="HilbertTransform">$/;" I -HilbertTransform docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -HilbertTransform monai/networks/layers/simplelayers.py /^class HilbertTransform(nn.Module):$/;" c -HilbertTransform# docs/build/html/networks.html /^<h3><cite>HilbertTransform<\/cite><a class="headerlink" href="#hilberttransform" title="Link to /;" j -HilbertTransform.forward docs/build/html/_modules/monai/networks/layers/simplelayers.html /^<div class="viewcode-block" id="HilbertTransform.forward">$/;" I -HistogramNormalize docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="HistogramNormalize">$/;" I -HistogramNormalize docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -HistogramNormalize monai/transforms/intensity/array.py /^class HistogramNormalize(Transform):$/;" c -HistogramNormalize.__call__ docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="HistogramNormalize.__call__">$/;" I -HistogramNormalizeD monai/transforms/intensity/dictionary.py /^HistogramNormalizeD = HistogramNormalizeDict = HistogramNormalized$/;" v -HistogramNormalized docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="HistogramNormalized">$/;" I -HistogramNormalized docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -HistogramNormalized monai/transforms/intensity/dictionary.py /^class HistogramNormalized(MapTransform):$/;" c -HistogramNormalized.__call__ docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="HistogramNormalized.__call__">$/;" I -Hl docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" c -HoVerNet monai/networks/nets/hovernet.py /^class HoVerNet(nn.Module):$/;" c -HoVerNetBranch docs/build/html/_modules/monai/utils/enums.html /^<div class="viewcode-block" id="HoVerNetBranch">$/;" I -HoVerNetBranch monai/utils/enums.py /^class HoVerNetBranch(StrEnum):$/;" c -HoVerNetInstanceMapPostProcessing docs/build/html/_modules/monai/apps/pathology/transforms/post/array.html /^<div class="viewcode-block" id="HoVerNetInstanceMapPostProcessing">$/;" I -HoVerNetInstanceMapPostProcessing monai/apps/pathology/transforms/post/array.py /^class HoVerNetInstanceMapPostProcessing(Transform):$/;" c -HoVerNetInstanceMapPostProcessingDict monai/apps/pathology/transforms/post/dictionary.py /^HoVerNetInstanceMapPostProcessingDict = HoVerNetInstanceMapPostProcessingD = HoVerNetInstanceMap/;" v -HoVerNetInstanceMapPostProcessingd docs/build/html/_modules/monai/apps/pathology/transforms/post/dictionary.html /^<div class="viewcode-block" id="HoVerNetInstanceMapPostProcessingd">$/;" I -HoVerNetInstanceMapPostProcessingd monai/apps/pathology/transforms/post/dictionary.py /^class HoVerNetInstanceMapPostProcessingd(Transform):$/;" c -HoVerNetLoss docs/build/html/_modules/monai/apps/pathology/losses/hovernet_loss.html /^<div class="viewcode-block" id="HoVerNetLoss">$/;" I -HoVerNetLoss monai/apps/pathology/losses/hovernet_loss.py /^class HoVerNetLoss(_Loss):$/;" c -HoVerNetLoss.forward docs/build/html/_modules/monai/apps/pathology/losses/hovernet_loss.html /^<div class="viewcode-block" id="HoVerNetLoss.forward">$/;" I -HoVerNetMode docs/build/html/_modules/monai/utils/enums.html /^<div class="viewcode-block" id="HoVerNetMode">$/;" I -HoVerNetMode monai/utils/enums.py /^class HoVerNetMode(StrEnum):$/;" c -HoVerNetNuclearTypePostProcessing docs/build/html/_modules/monai/apps/pathology/transforms/post/array.html /^<div class="viewcode-block" id="HoVerNetNuclearTypePostProcessing">$/;" I -HoVerNetNuclearTypePostProcessing monai/apps/pathology/transforms/post/array.py /^class HoVerNetNuclearTypePostProcessing(Transform):$/;" c -HoVerNetNuclearTypePostProcessingDict monai/apps/pathology/transforms/post/dictionary.py /^HoVerNetNuclearTypePostProcessingDict = HoVerNetNuclearTypePostProcessingD = HoVerNetNuclearType/;" v -HoVerNetNuclearTypePostProcessingd docs/build/html/_modules/monai/apps/pathology/transforms/post/dictionary.html /^<div class="viewcode-block" id="HoVerNetNuclearTypePostProcessingd">$/;" I -HoVerNetNuclearTypePostProcessingd monai/apps/pathology/transforms/post/dictionary.py /^class HoVerNetNuclearTypePostProcessingd(Transform):$/;" c -Hovernet monai/networks/nets/hovernet.py /^Hovernet = HoVernet = HoverNet = HoVerNet$/;" v -How Lazy Resampling changes preprocessing docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -How Lazy Resampling changes preprocessing docs/source/lazy_resampling.rst /^How Lazy Resampling changes preprocessing$/;" c title:Lazy Resampling -How Lazy Resampling changes preprocessing# docs/build/html/lazy_resampling.html /^<h2>How 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docs/build/html/genindex.html /^<h2 id="I">I<\/h2>$/;" i -I tests/test_flatten_sub_keysd.py /^I = torch.randn(2, 3)$/;" v -I/O, processing and augmentation docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -I/O, processing and augmentation docs/source/modules.md /^## I\/O, processing and augmentation$/;" s chapter:Modules -I/O, processing and augmentation# docs/build/html/modules.html /^<h2>I\/O, processing and augmentation<a class="headerlink" href="#i-o-processing-and-augmentatio/;" i -ID monai/apps/mmars/model_desc.py /^ ID = "id" # unique MMAR$/;" v class:RemoteMMARKeys -ID monai/utils/enums.py /^ ID = "id"$/;" v class:BundlePropertyConfig -ID monai/utils/enums.py /^ ID = "identifier"$/;" v class:AlgoEnsembleKeys -ID monai/utils/enums.py /^ ID = "identifier"$/;" v class:AlgoKeys -ID monai/utils/enums.py /^ ID: str = "id"$/;" v class:TraceKeys 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monai/apps/deepedit/interaction.py /^class Interaction:$/;" c -Interaction monai/apps/deepgrow/interaction.py /^class Interaction:$/;" c -InterpolateMode docs/build/html/_modules/monai/utils/enums.html /^<div class="viewcode-block" id="InterpolateMode">$/;" I -InterpolateMode monai/utils/enums.py /^class InterpolateMode(StrEnum):$/;" c -InterpolationType monai/csrc/utils/resample_utils.h /^enum class InterpolationType : int64_t {$/;" g namespace:monai typeref:typename:int64_t -InterpolationVectorRef monai/csrc/utils/resample_utils.h /^using InterpolationVectorRef = c10::ArrayRef<InterpolationType>;$/;" t namespace:monai typeref:typename:c10::ArrayRef<InterpolationType> -Introduction CONTRIBUTING.md /^## Introduction$/;" s -Introduction docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -Introduction docs/source/lazy_resampling.rst /^Introduction$/;" c 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/^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" c class:Qc -JointBilateralFilterCpuBackward monai/csrc/filtering/trainable_joint_bilateral/jbf_layer_cpu_backward.cpp /^std::tuple<torch::Tensor, torch::Tensor> JointBilateralFilterCpuBackward($/;" f typeref:typename:std::tuple<torch::Tensor,torch::Tensor> -JointBilateralFilterCpuBackward_3d monai/csrc/filtering/trainable_joint_bilateral/jbf_layer_cpu_backward.cpp /^void JointBilateralFilterCpuBackward_3d($/;" f typeref:typename:void -JointBilateralFilterCpuForward monai/csrc/filtering/trainable_joint_bilateral/jbf_layer_cpu_forward.cpp /^JointBilateralFilterCpuForward($/;" f -JointBilateralFilterCpuForward_3d monai/csrc/filtering/trainable_joint_bilateral/jbf_layer_cpu_forward.cpp /^void JointBilateralFilterCpuForward_3d($/;" f typeref:typename:void -JointBilateralFilterCudaBackward monai/csrc/filtering/trainable_joint_bilateral/jbf_layer_gpu_backward.cu /^std::tuple<torch::Tensor, 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/^<h3>NrrdReader<a class="headerlink" href="#nrrdreader" title="Link to this heading">#<\/a><\/h3>$/;" j -NrrdReader.get_data docs/build/html/_modules/monai/data/image_reader.html /^<div class="viewcode-block" id="NrrdReader.get_data">$/;" I -NrrdReader.read docs/build/html/_modules/monai/data/image_reader.html /^<div class="viewcode-block" id="NrrdReader.read">$/;" I -NrrdReader.verify_suffix docs/build/html/_modules/monai/data/image_reader.html /^<div class="viewcode-block" id="NrrdReader.verify_suffix">$/;" I -NuClick modules for interactive nuclei segmentation docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -NuClick modules for interactive nuclei segmentation docs/source/applications.md /^### NuClick modules for interactive nuclei segmentation$/;" S chapter:Research and Application Highlights -NuClick modules for interactive nuclei segmentation# 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-RandCropByPosNegLabeld docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandCropByPosNegLabeld monai/transforms/croppad/dictionary.py /^class RandCropByPosNegLabeld(Randomizable, MapTransform, LazyTransform, MultiSampleTrait):$/;" c -RandCropByPosNegLabeld.__call__ docs/build/html/_modules/monai/transforms/croppad/dictionary.html /^<div class="viewcode-block" id="RandCropByPosNegLabeld.__call__">$/;" I -RandCropByPosNegLabeld.randomize docs/build/html/_modules/monai/transforms/croppad/dictionary.html /^<div class="viewcode-block" id="RandCropByPosNegLabeld.randomize">$/;" I -RandCropByPosNegLabeld.set_random_state docs/build/html/_modules/monai/transforms/croppad/dictionary.html /^<div class="viewcode-block" id="RandCropByPosNegLabeld.set_random_state">$/;" I -RandCropD monai/transforms/croppad/dictionary.py /^RandCropD = RandCropDict = RandCropd$/;" v 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-RandCuCIM docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandCuCIM monai/transforms/utility/array.py /^class RandCuCIM(CuCIM, RandomizableTrait):$/;" c -RandCuCIMD monai/transforms/utility/dictionary.py /^RandCuCIMD = RandCuCIMDict = RandCuCIMd$/;" v -RandCuCIMd docs/build/html/_modules/monai/transforms/utility/dictionary.html /^<div class="viewcode-block" id="RandCuCIMd">$/;" I -RandCuCIMd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandCuCIMd monai/transforms/utility/dictionary.py /^class RandCuCIMd(MapTransform, RandomizableTrait):$/;" c -RandCuCIMd.__call__ docs/build/html/_modules/monai/transforms/utility/dictionary.html /^<div class="viewcode-block" id="RandCuCIMd.__call__">$/;" I -RandDeformGrid 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-RandFlip docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandFlip monai/transforms/spatial/array.py /^class RandFlip(RandomizableTransform, InvertibleTransform, LazyTransform):$/;" c -RandFlip.__call__ docs/build/html/_modules/monai/transforms/spatial/array.html /^<div class="viewcode-block" id="RandFlip.__call__">$/;" I -RandFlip.inverse docs/build/html/_modules/monai/transforms/spatial/array.html /^<div class="viewcode-block" id="RandFlip.inverse">$/;" I -RandFlipBoxD monai/apps/detection/transforms/dictionary.py /^RandFlipBoxD = RandFlipBoxDict = RandFlipBoxd$/;" v -RandFlipBoxd docs/build/html/_modules/monai/apps/detection/transforms/dictionary.html /^<div class="viewcode-block" id="RandFlipBoxd">$/;" I -RandFlipBoxd monai/apps/detection/transforms/dictionary.py /^class RandFlipBoxd(RandomizableTransform, MapTransform, InvertibleTransform):$/;" c 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-RandGaussianNoise.randomize docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandGaussianNoise.randomize">$/;" I -RandGaussianNoiseD monai/transforms/intensity/dictionary.py /^RandGaussianNoiseD = RandGaussianNoiseDict = RandGaussianNoised$/;" v -RandGaussianNoised docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGaussianNoised">$/;" I -RandGaussianNoised docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGaussianNoised monai/transforms/intensity/dictionary.py /^class RandGaussianNoised(RandomizableTransform, MapTransform):$/;" c -RandGaussianNoised.__call__ docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGaussianNoised.__call__">$/;" I -RandGaussianNoised.set_random_state docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGaussianNoised.set_random_state">$/;" I -RandGaussianSharpen docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandGaussianSharpen">$/;" I -RandGaussianSharpen docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGaussianSharpen monai/transforms/intensity/array.py /^class RandGaussianSharpen(RandomizableTransform):$/;" c -RandGaussianSharpen.__call__ docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandGaussianSharpen.__call__">$/;" I -RandGaussianSharpen.randomize docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandGaussianSharpen.randomize">$/;" I -RandGaussianSharpenD monai/transforms/intensity/dictionary.py /^RandGaussianSharpenD = RandGaussianSharpenDict = RandGaussianSharpend$/;" v -RandGaussianSharpend docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGaussianSharpend">$/;" I -RandGaussianSharpend docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGaussianSharpend monai/transforms/intensity/dictionary.py /^class RandGaussianSharpend(RandomizableTransform, MapTransform):$/;" c -RandGaussianSharpend.__call__ docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGaussianSharpend.__call__">$/;" I -RandGaussianSharpend.set_random_state docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGaussianSharpend.set_random_state">$/;" I -RandGaussianSmooth docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandGaussianSmooth">$/;" I -RandGaussianSmooth docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGaussianSmooth monai/transforms/intensity/array.py /^class RandGaussianSmooth(RandomizableTransform):$/;" c -RandGaussianSmooth.__call__ docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandGaussianSmooth.__call__">$/;" I -RandGaussianSmooth.randomize docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandGaussianSmooth.randomize">$/;" I -RandGaussianSmoothD monai/transforms/intensity/dictionary.py /^RandGaussianSmoothD = RandGaussianSmoothDict = RandGaussianSmoothd$/;" v -RandGaussianSmoothd docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGaussianSmoothd">$/;" I -RandGaussianSmoothd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGaussianSmoothd monai/transforms/intensity/dictionary.py /^class RandGaussianSmoothd(RandomizableTransform, MapTransform):$/;" c -RandGaussianSmoothd.__call__ docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGaussianSmoothd.__call__">$/;" I -RandGaussianSmoothd.set_random_state docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGaussianSmoothd.set_random_state">$/;" I -RandGibbsNoise docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandGibbsNoise">$/;" I -RandGibbsNoise docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGibbsNoise monai/transforms/intensity/array.py /^class RandGibbsNoise(RandomizableTransform):$/;" c -RandGibbsNoise.__call__ docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandGibbsNoise.__call__">$/;" I -RandGibbsNoise.randomize docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="RandGibbsNoise.randomize">$/;" I -RandGibbsNoiseD monai/transforms/intensity/dictionary.py /^RandGibbsNoiseD = RandGibbsNoiseDict = RandGibbsNoised$/;" v -RandGibbsNoised docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGibbsNoised">$/;" I -RandGibbsNoised docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGibbsNoised monai/transforms/intensity/dictionary.py /^class RandGibbsNoised(RandomizableTransform, MapTransform):$/;" c -RandGibbsNoised.__call__ docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGibbsNoised.__call__">$/;" I -RandGibbsNoised.set_random_state docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandGibbsNoised.set_random_state">$/;" I -RandGridDistortion docs/build/html/_modules/monai/transforms/spatial/array.html /^<div class="viewcode-block" id="RandGridDistortion">$/;" I -RandGridDistortion docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGridDistortion monai/transforms/spatial/array.py /^class RandGridDistortion(RandomizableTransform):$/;" c -RandGridDistortion.__call__ docs/build/html/_modules/monai/transforms/spatial/array.html /^<div class="viewcode-block" id="RandGridDistortion.__call__">$/;" I -RandGridDistortion.__init__ docs/build/html/_modules/monai/transforms/spatial/array.html /^<div class="viewcode-block" id="RandGridDistortion.__init__">$/;" I -RandGridDistortion.randomize docs/build/html/_modules/monai/transforms/spatial/array.html /^<div class="viewcode-block" id="RandGridDistortion.randomize">$/;" I -RandGridDistortionD monai/transforms/spatial/dictionary.py /^RandGridDistortionD = RandGridDistortionDict = RandGridDistortiond$/;" v -RandGridDistortiond docs/build/html/_modules/monai/transforms/spatial/dictionary.html /^<div class="viewcode-block" id="RandGridDistortiond">$/;" I -RandGridDistortiond docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGridDistortiond monai/transforms/spatial/dictionary.py /^class RandGridDistortiond(RandomizableTransform, MapTransform):$/;" c -RandGridDistortiond.__call__ docs/build/html/_modules/monai/transforms/spatial/dictionary.html /^<div class="viewcode-block" id="RandGridDistortiond.__call__">$/;" I -RandGridDistortiond.__init__ docs/build/html/_modules/monai/transforms/spatial/dictionary.html /^<div class="viewcode-block" id="RandGridDistortiond.__init__">$/;" I -RandGridDistortiond.set_random_state docs/build/html/_modules/monai/transforms/spatial/dictionary.html /^<div class="viewcode-block" id="RandGridDistortiond.set_random_state">$/;" I -RandGridPatch docs/build/html/_modules/monai/transforms/spatial/array.html /^<div class="viewcode-block" id="RandGridPatch">$/;" I -RandGridPatch docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGridPatch monai/transforms/spatial/array.py /^class RandGridPatch(GridPatch, RandomizableTransform, MultiSampleTrait):$/;" c -RandGridPatch.__call__ docs/build/html/_modules/monai/transforms/spatial/array.html /^<div class="viewcode-block" id="RandGridPatch.__call__">$/;" I -RandGridPatch.filter_count docs/build/html/_modules/monai/transforms/spatial/array.html /^<div class="viewcode-block" id="RandGridPatch.filter_count">$/;" I -RandGridPatch.randomize docs/build/html/_modules/monai/transforms/spatial/array.html /^<div class="viewcode-block" id="RandGridPatch.randomize">$/;" I -RandGridPatchD monai/transforms/spatial/dictionary.py /^RandGridPatchD = RandGridPatchDict = RandGridPatchd$/;" v -RandGridPatchd docs/build/html/_modules/monai/transforms/spatial/dictionary.html /^<div class="viewcode-block" id="RandGridPatchd">$/;" I -RandGridPatchd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandGridPatchd monai/transforms/spatial/dictionary.py /^class 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-RandHistogramShiftd.set_random_state docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="RandHistogramShiftd.set_random_state">$/;" I -RandIdentity monai/transforms/utility/array.py /^class RandIdentity(RandomizableTrait):$/;" c -RandImageFilter docs/build/html/_modules/monai/transforms/utility/array.html /^<div class="viewcode-block" id="RandImageFilter">$/;" I -RandImageFilter docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -RandImageFilter monai/transforms/utility/array.py /^class RandImageFilter(RandomizableTransform):$/;" c -RandImageFilter.__call__ docs/build/html/_modules/monai/transforms/utility/array.html /^<div class="viewcode-block" id="RandImageFilter.__call__">$/;" I -RandImageFilterD monai/transforms/utility/dictionary.py /^RandImageFilterD = RandImageFilterDict = RandImageFilterd$/;" v 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<h1>Source code for monai.networks.blocks.feature_pyramid_network<\/h1><div class="highlight">/;" h -Source code for monai.networks.blocks.fft_utils_t docs/build/html/_modules/monai/networks/blocks/fft_utils_t.html /^ <h1>Source code for monai.networks.blocks.fft_utils_t<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.blocks.localnet_block docs/build/html/_modules/monai/networks/blocks/localnet_block.html /^ <h1>Source code for monai.networks.blocks.localnet_block<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.blocks.mlp docs/build/html/_modules/monai/networks/blocks/mlp.html /^ <h1>Source code for monai.networks.blocks.mlp<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.blocks.patchembedding docs/build/html/_modules/monai/networks/blocks/patchembedding.html /^ <h1>Source code for monai.networks.blocks.patchembedding<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.blocks.regunet_block 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monai.networks.blocks.transformerblock<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.blocks.unetr_block docs/build/html/_modules/monai/networks/blocks/unetr_block.html /^ <h1>Source code for monai.networks.blocks.unetr_block<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.blocks.upsample docs/build/html/_modules/monai/networks/blocks/upsample.html /^ <h1>Source code for monai.networks.blocks.upsample<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.blocks.warp docs/build/html/_modules/monai/networks/blocks/warp.html /^ <h1>Source code for monai.networks.blocks.warp<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.layers.conjugate_gradient docs/build/html/_modules/monai/networks/layers/conjugate_gradient.html /^ <h1>Source code for monai.networks.layers.conjugate_gradient<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.layers.convutils docs/build/html/_modules/monai/networks/layers/convutils.html /^ <h1>Source code for monai.networks.layers.convutils<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.layers.factories docs/build/html/_modules/monai/networks/layers/factories.html /^ <h1>Source code for monai.networks.layers.factories<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.layers.filtering docs/build/html/_modules/monai/networks/layers/filtering.html /^ <h1>Source code for monai.networks.layers.filtering<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.layers.gmm docs/build/html/_modules/monai/networks/layers/gmm.html /^ <h1>Source code for monai.networks.layers.gmm<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.layers.simplelayers docs/build/html/_modules/monai/networks/layers/simplelayers.html /^ <h1>Source code for monai.networks.layers.simplelayers<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.layers.spatial_transforms docs/build/html/_modules/monai/networks/layers/spatial_transforms.html /^ <h1>Source code for monai.networks.layers.spatial_transforms<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.layers.utils docs/build/html/_modules/monai/networks/layers/utils.html /^ <h1>Source code for monai.networks.layers.utils<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.nets.ahnet docs/build/html/_modules/monai/networks/nets/ahnet.html /^ <h1>Source code for monai.networks.nets.ahnet<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.nets.attentionunet docs/build/html/_modules/monai/networks/nets/attentionunet.html /^ <h1>Source code for monai.networks.nets.attentionunet<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.nets.autoencoder docs/build/html/_modules/monai/networks/nets/autoencoder.html /^ <h1>Source code for monai.networks.nets.autoencoder<\/h1><div 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<h1>Source code for monai.networks.nets.fullyconnectednet<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.nets.generator docs/build/html/_modules/monai/networks/nets/generator.html /^ <h1>Source code for monai.networks.nets.generator<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.nets.highresnet docs/build/html/_modules/monai/networks/nets/highresnet.html /^ <h1>Source code for monai.networks.nets.highresnet<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.nets.milmodel docs/build/html/_modules/monai/networks/nets/milmodel.html /^ <h1>Source code for monai.networks.nets.milmodel<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.nets.netadapter docs/build/html/_modules/monai/networks/nets/netadapter.html /^ <h1>Source code for monai.networks.nets.netadapter<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.networks.nets.quicknat 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monai.transforms.lazy.array<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.transforms.lazy.dictionary docs/build/html/_modules/monai/transforms/lazy/dictionary.html /^ <h1>Source code for monai.transforms.lazy.dictionary<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.transforms.meta_utility.dictionary docs/build/html/_modules/monai/transforms/meta_utility/dictionary.html /^ <h1>Source code for monai.transforms.meta_utility.dictionary<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.transforms.nvtx docs/build/html/_modules/monai/transforms/nvtx.html /^ <h1>Source code for monai.transforms.nvtx<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.transforms.post.array docs/build/html/_modules/monai/transforms/post/array.html /^ <h1>Source code for monai.transforms.post.array<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.transforms.post.dictionary docs/build/html/_modules/monai/transforms/post/dictionary.html /^ <h1>Source code for monai.transforms.post.dictionary<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.transforms.regularization.array docs/build/html/_modules/monai/transforms/regularization/array.html /^ <h1>Source code for monai.transforms.regularization.array<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.transforms.regularization.dictionary docs/build/html/_modules/monai/transforms/regularization/dictionary.html /^ <h1>Source code for monai.transforms.regularization.dictionary<\/h1><div class="highlight"><pr/;" h -Source code for monai.transforms.signal.array docs/build/html/_modules/monai/transforms/signal/array.html /^ <h1>Source code for monai.transforms.signal.array<\/h1><div class="highlight"><pre>$/;" h -Source code for monai.transforms.signal.dictionary docs/build/html/_modules/monai/transforms/signal/dictionary.html /^ <h1>Source code for monai.transforms.signal.dictionary<\/h1><div class="highlight"><pre>$/;" h -Source code for 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v -TEST_CASES_SHAPE_3D tests/test_anchor_box.py /^TEST_CASES_SHAPE_3D = [$/;" v -TEST_CASES_SHAPE_3D tests/test_rotate.py /^TEST_CASES_SHAPE_3D: list[tuple] = []$/;" v typeref:typename:list[tuple] -TEST_CASES_SHARPEN tests/test_preset_filters.py /^TEST_CASES_SHARPEN = [$/;" v -TEST_CASES_SKIPPED_CONSISTENCY tests/test_rand_affine.py /^TEST_CASES_SKIPPED_CONSISTENCY = []$/;" v -TEST_CASES_SLOW tests/test_gaussian_filter.py /^TEST_CASES_SLOW = [$/;" v -TEST_CASES_TS tests/test_retinanet.py /^TEST_CASES_TS = []$/;" v -TEST_CASES_TS tests/test_retinanet_detector.py /^TEST_CASES_TS = [TEST_CASE_1]$/;" v -TEST_CASES_TS tests/test_retinanet_predict_utils.py /^TEST_CASES_TS = [TEST_CASE_1]$/;" v -TEST_CASE_0 tests/test_autoencoder.py /^TEST_CASE_0 = [ # single channel 2D, batch 4, no residual$/;" v -TEST_CASE_0 tests/test_compute_ho_ver_maps.py /^TEST_CASE_0 = [{}, INSTANCE_MASK, HV_MAPS]$/;" v -TEST_CASE_0 tests/test_compute_ho_ver_maps_d.py /^TEST_CASE_0 = [{}, {"mask": INSTANCE_MASK}, {"hover_mask": HV_MAPS}]$/;" v -TEST_CASE_0 tests/test_discriminator.py /^TEST_CASE_0 = [$/;" v -TEST_CASE_0 tests/test_fill_holes.py /^TEST_CASE_0 = ["enclosed_default_full_connectivity_default_applied_labels", {}, grid_1, grid_3]$/;" v -TEST_CASE_0 tests/test_fill_holesd.py /^TEST_CASE_0 = ["enclosed_default_full_connectivity_default_applied_labels", {}, grid_1, grid_3]$/;" v -TEST_CASE_0 tests/test_flatten_sub_keysd.py /^TEST_CASE_0 = [{"keys": "pred"}, {"image": I, "pred": D1}, {"a": A, "b": B, "image": I}]$/;" v -TEST_CASE_0 tests/test_foreground_mask.py /^TEST_CASE_0 = [{}, IMAGE1, MASK]$/;" v -TEST_CASE_0 tests/test_foreground_maskd.py /^TEST_CASE_0 = [{"keys": "image"}, {"image": IMAGE1}, MASK]$/;" v -TEST_CASE_0 tests/test_from_engine_hovernet.py /^TEST_CASE_0 = [$/;" v -TEST_CASE_0 tests/test_generator.py /^TEST_CASE_0 = [$/;" v -TEST_CASE_0 tests/test_grid_dataset.py /^TEST_CASE_0 = [{"patch_size": (2, 2)}, A, [A11, A12, A21, A22], np.array([COORD11, COORD12, COOR/;" v 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= []$/;" v -TEST_CASE_1 tests/test_data_stats.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_data_statsd.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_dataloader.py /^TEST_CASE_1 = [[{"image": np.asarray([1, 2, 3])}, {"image": np.asarray([4, 5])}]]$/;" v -TEST_CASE_1 tests/test_dataset.py /^TEST_CASE_1 = [(128, 128, 128)]$/;" v -TEST_CASE_1 tests/test_deepgrow_dataset.py /^TEST_CASE_1 = [{"dimension": 2, "pixdim": (1, 1)}, {"length": 3}, 9, 1]$/;" v -TEST_CASE_1 tests/test_delete_itemsd.py /^TEST_CASE_1 = [{"keys": [str(i) for i in range(30)]}, 20]$/;" v -TEST_CASE_1 tests/test_densenet.py /^TEST_CASE_1 = [ # 4-channel 3D, batch 2$/;" v -TEST_CASE_1 tests/test_detector_utils.py /^TEST_CASE_1 = [ # 3D, batch 3, 2 input channel$/;" v -TEST_CASE_1 tests/test_discriminator.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_ensemble_evaluator.py /^TEST_CASE_1 = [["pred_0", "pred_1", "pred_2", "pred_3", "pred_4"]]$/;" v -TEST_CASE_1 tests/test_ensure_channel_first.py /^TEST_CASE_1 = [{}, ["test_image.nii.gz"], None]$/;" v -TEST_CASE_1 tests/test_ensure_channel_firstd.py /^TEST_CASE_1 = [{"keys": "img"}, ["test_image.nii.gz"], None]$/;" v -TEST_CASE_1 tests/test_fill_holes.py /^TEST_CASE_1 = ["enclosed_full_connectivity_default_applied_labels", {"connectivity": 2}, grid_1,/;" v -TEST_CASE_1 tests/test_fill_holesd.py /^TEST_CASE_1 = ["enclosed_full_connectivity_default_applied_labels", {"connectivity": 2}, grid_1,/;" v -TEST_CASE_1 tests/test_flatten_sub_keysd.py /^TEST_CASE_1 = [{"keys": "pred"}, {"image": I, "pred": D2}, {"a": A, "b": B, "c": C, "image": I}]$/;" v -TEST_CASE_1 tests/test_foreground_mask.py /^TEST_CASE_1 = [{"threshold": "otsu"}, IMAGE1, MASK]$/;" v -TEST_CASE_1 tests/test_foreground_maskd.py /^TEST_CASE_1 = [{"keys": "image", "threshold": "otsu"}, {"image": IMAGE1}, MASK]$/;" v -TEST_CASE_1 tests/test_from_engine_hovernet.py /^TEST_CASE_1 = [{"A": {"C": 1, "D": 2}, "B": {"C": 2, "D": 2}}, (1, 2)]$/;" v -TEST_CASE_1 tests/test_gdsdataset.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_generate_instance_centroid.py /^TEST_CASE_1 = [(x - 2) ** 2 + (y - 2) ** 2 <= 2**2, [0, 0], [2, 2]]$/;" v -TEST_CASE_1 tests/test_generate_instance_centroidd.py /^TEST_CASE_1 = [(x - 2) ** 2 + (y - 2) ** 2 <= 2**2, [0, 0], [2, 2]]$/;" v -TEST_CASE_1 tests/test_generate_instance_contour.py /^TEST_CASE_1 = [(x - 2) ** 2 + (y - 2) ** 2 <= 2**2, 3, [0, 0], [[2, 0], [0, 2], [2, 4], [4, 2]]]$/;" v -TEST_CASE_1 tests/test_generate_instance_contourd.py /^TEST_CASE_1 = [(x - 2) ** 2 + (y - 2) ** 2 <= 2**2, 3, [0, 0], [[2, 0], [0, 2], [2, 4], [4, 2]]]$/;" v -TEST_CASE_1 tests/test_generate_instance_type.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_generate_instance_typed.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_generate_label_classes_crop_centers.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_generate_param_groups.py /^TEST_CASE_1 = [{"layer_matches": [lambda x: x.model[-1]], "match_types": "select", "lr_values": /;" v 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True, "save_details": False, "metric_name": "f1"}, 0.75]$/;" v -TEST_CASE_1 tests/test_handler_garbage_collector.py /^TEST_CASE_1 = [[0, 1, 2], "iteration"]$/;" v -TEST_CASE_1 tests/test_handler_ignite_metric.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_handler_mean_dice.py /^TEST_CASE_1 = [{"include_background": True, "output_transform": from_engine(["pred", "label"])},/;" v -TEST_CASE_1 tests/test_handler_mean_iou.py /^TEST_CASE_1 = [{"include_background": True, "output_transform": from_engine(["pred", "label"])},/;" v -TEST_CASE_1 tests/test_handler_nvtx.py /^TEST_CASE_1 = [[{"image": TENSOR_1}], TENSOR_1_EXPECTED]$/;" v -TEST_CASE_1 tests/test_handler_panoptic_quality.py /^TEST_CASE_1 = [{"num_classes": 4, "output_transform": from_engine(["pred", "label"])}, [0.6667, /;" v -TEST_CASE_1 tests/test_handler_post_processing.py /^TEST_CASE_1 = [{"transform": lambda x: dict(pred=x["pred"] + 1.0)}, False, torch.tensor([[[[1.99/;" v -TEST_CASE_1 tests/test_handler_prob_map_producer.py /^TEST_CASE_1 = ["temp_image_inference_output_2", 9]$/;" v -TEST_CASE_1 tests/test_highresnet.py /^TEST_CASE_1 = [ # single channel 3D, batch 16$/;" v -TEST_CASE_1 tests/test_hovernet.py /^TEST_CASE_1 = [ # original mode$/;" v -TEST_CASE_1 tests/test_hovernet_instance_map_post_processing.py /^TEST_CASE_1 = [{}, {"1": {"centroid": 1, "bbox": 1.0}}, np.zeros_like(image)]$/;" v -TEST_CASE_1 tests/test_hovernet_instance_map_post_processingd.py /^TEST_CASE_1 = [{}, {"1": {"centroid": 1, "bbox": 1.0}}, np.zeros_like(image)]$/;" v -TEST_CASE_1 tests/test_hovernet_loss.py /^TEST_CASE_1 = [ # batch size of 1, 2 classes with type prediction$/;" v -TEST_CASE_1 tests/test_hovernet_nuclear_type_post_processing.py /^TEST_CASE_1 = [{}, {"1": {"type": 1, "type_prob": 1.0}}, np.zeros_like(image)]$/;" v -TEST_CASE_1 tests/test_hovernet_nuclear_type_post_processingd.py /^TEST_CASE_1 = [{}, [{"1": [10, 10]}, np.zeros_like(image), np.zeros_like(image)]]$/;" v 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["test_image.nii.gz"], (128, 128, 128)]$/;" v -TEST_CASE_1 tests/test_load_imaged.py /^TEST_CASE_1 = [{"keys": KEYS}, (128, 128, 128)]$/;" v -TEST_CASE_1 tests/test_loss_metric.py /^TEST_CASE_1 = [ # y (1, 1, 2, 2), y_pred (1, 1, 2, 2), expected out (1, 1)$/;" v -TEST_CASE_1 tests/test_map_label_valued.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_mask_intensity.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_mask_intensityd.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_masked_patch_wsi_dataset.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_net_adapter.py /^TEST_CASE_1 = [{"num_classes": 1, "use_conv": True, "dim": 3, "pool": None}, (2, 3, 32, 32, 32),/;" v -TEST_CASE_1 tests/test_nrrd_reader.py /^TEST_CASE_1 = [(4, 4), "test_image.nrrd", (4, 4), np.uint8]$/;" v -TEST_CASE_1 tests/test_partition_dataset.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_partition_dataset_classes.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_patch_wsi_dataset.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_persistentdataset.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_pil_reader.py /^TEST_CASE_1 = [(128, 128), ["test_image.png"], (128, 128), (128, 128)]$/;" v -TEST_CASE_1 tests/test_plot_2d_or_3d_image.py /^TEST_CASE_1 = [(1, 1, 10, 10)]$/;" v -TEST_CASE_1 tests/test_prepare_batch_default_dist.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_prepare_batch_extra_input.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_rand_adjust_contrast.py /^TEST_CASE_1 = [(0.5, 4.5)]$/;" v -TEST_CASE_1 tests/test_rand_adjust_contrastd.py /^TEST_CASE_1 = [(0.5, 4.5)]$/;" v -TEST_CASE_1 tests/test_rand_coarse_dropout.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_rand_coarse_dropoutd.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_rand_grid_patch.py /^TEST_CASE_1 = [{"patch_size": (2, 2), "min_offset": 0, "num_patches": 3}, A, [A11, A12, A21]]$/;" v -TEST_CASE_1 tests/test_rand_grid_patchd.py /^TEST_CASE_1 = [{"patch_size": (2, 2), "min_offset": 0, "num_patches": 3}, {"image": A}, [A11, A1/;" v -TEST_CASE_1 tests/test_rand_spatial_crop_samples.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_rand_spatial_crop_samplesd.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_randtorchvisiond.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_reference_resolver.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_resample_datalist.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_resize.py /^TEST_CASE_1 = [{"spatial_size": 15, "mode": "area"}, (6, 10, 15)]$/;" v -TEST_CASE_1 tests/test_resized.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_resnet.py /^TEST_CASE_1 = [ # 3D, batch 3, 2 input channel$/;" v -TEST_CASE_1 tests/test_retinanet.py /^TEST_CASE_1 = [ # 3D, batch 3, 2 input channel$/;" v -TEST_CASE_1 tests/test_retinanet_detector.py /^TEST_CASE_1 = [ # 3D, batch 3, 2 input channel$/;" v -TEST_CASE_1 tests/test_retinanet_predict_utils.py /^TEST_CASE_1 = [ # 3D, batch 3, 2 input channel$/;" v -TEST_CASE_1 tests/test_saliency_inferer.py /^TEST_CASE_1 = ["CAM"]$/;" v -TEST_CASE_1 tests/test_sample_slices.py /^TEST_CASE_1 = [torch.tensor([[[0, 2], [1, 0]]]), 1, True, (1,), torch.tensor([[[1, 0]]])]$/;" v -TEST_CASE_1 tests/test_save_image.py /^TEST_CASE_1 = [torch.randint(0, 255, (1, 2, 3, 4)), {"filename_or_obj": "testfile0.nii.gz"}, ".n/;" v -TEST_CASE_1 tests/test_save_imaged.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_save_state.py /^TEST_CASE_1 = [torch.nn.PReLU(), ["weight"]]$/;" v -TEST_CASE_1 tests/test_select_cross_validation_folds.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_select_itemsd.py /^TEST_CASE_1 = [{"keys": [str(i) for i in range(30)]}, 30]$/;" v -TEST_CASE_1 tests/test_senet.py /^TEST_CASE_1 = [SENet154, NET_ARGS]$/;" v -TEST_CASE_1 tests/test_smartcachedataset.py /^TEST_CASE_1 = [0.1, 0, Compose([LoadImaged(keys=["image", "label", "extra"])])]$/;" v -TEST_CASE_1 tests/test_sobel_gradient.py /^TEST_CASE_1 = [IMAGE, {"kernel_size": 3, "dtype": torch.float64}, OUTPUT_3x3]$/;" v -TEST_CASE_1 tests/test_sobel_gradientd.py /^TEST_CASE_1 = [{"image": IMAGE}, {"keys": "image", "kernel_size": 3, "dtype": torch.float64}, {"/;" v -TEST_CASE_1 tests/test_state_cacher.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_to_device.py /^TEST_CASE_1 = ["cuda:0"]$/;" v -TEST_CASE_1 tests/test_to_onehot.py /^TEST_CASE_1 = [ # single channel 2D, batch 3, shape (2, 1, 2, 2)$/;" v -TEST_CASE_1 tests/test_torchvision_fc_model.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_torchvisiond.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_unet.py /^TEST_CASE_1 = [ # single channel 2D, batch 16$/;" v -TEST_CASE_1 tests/test_varautoencoder.py /^TEST_CASE_1 = [ # single channel 2D, batch 4$/;" v -TEST_CASE_1 tests/test_vis_cam.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_voxelmorph.py /^TEST_CASE_1 = [ # single channel 3D, batch 1,$/;" v -TEST_CASE_1 tests/test_wsireader.py /^TEST_CASE_1 = [$/;" v -TEST_CASE_1 tests/test_zipdataset.py /^TEST_CASE_1 = [[Dataset_(5), Dataset_(5), Dataset_(5)], None, (0, 0, 0), 5]$/;" v -TEST_CASE_10 tests/test_bundle_download.py /^TEST_CASE_10 = [$/;" v -TEST_CASE_10 tests/test_compute_meandice.py /^TEST_CASE_10 = [$/;" v -TEST_CASE_10 tests/test_compute_meaniou.py /^TEST_CASE_10 = [$/;" v -TEST_CASE_10 tests/test_compute_roc_auc.py /^TEST_CASE_10 = [$/;" v -TEST_CASE_10 tests/test_config_item.py /^TEST_CASE_10 = ["collate_fn", "$lambda x: monai.data.list_data_collate(x) + torch.tensor(var)"]$/;" v -TEST_CASE_10 tests/test_fill_holes.py /^TEST_CASE_10 = ["open_to_edge_connectivity_1_default_applied_labels", {"connectivity": 1}, grid_/;" v -TEST_CASE_10 tests/test_fill_holesd.py /^TEST_CASE_10 = ["open_to_edge_connectivity_1_default_applied_labels", {"connectivity": 1}, grid_/;" v -TEST_CASE_10 tests/test_foreground_mask.py /^TEST_CASE_10 = [{"threshold": skimage.filters.threshold_mean}, IMAGE1, MASK]$/;" v -TEST_CASE_10 tests/test_foreground_maskd.py /^TEST_CASE_10 = [{"keys": "image", "threshold": skimage.filters.threshold_mean}, {"image": IMAGE1/;" v -TEST_CASE_10 tests/test_grid_patch.py /^TEST_CASE_10 = [{"patch_size": (2, 2), "overlap": 0.5, "num_patches": 3}, A, [A11, A[:, :2, 1:3]/;" v -TEST_CASE_10 tests/test_grid_patchd.py /^TEST_CASE_10 = [{"patch_size": (2, 2), "overlap": 0.5, "num_patches": 3}, {"image": A}, [A11, A[/;" v -TEST_CASE_10 tests/test_load_image.py /^TEST_CASE_10 = [$/;" v -TEST_CASE_10 tests/test_rand_grid_patch.py /^TEST_CASE_10 = [{"patch_size": (2, 2), "min_offset": 0, "max_offset": 0, "threshold": 50.0}, A, /;" v -TEST_CASE_10 tests/test_rand_grid_patchd.py /^TEST_CASE_10 = [{"patch_size": (2, 2), "min_offset": 0, "max_offset": 0, "threshold": 50.0}, {"i/;" v -TEST_CASE_10 tests/test_save_state.py /^TEST_CASE_10 = [torch.nn.PReLU(), ["weight"], True, True, torch.save]$/;" v -TEST_CASE_10 tests/test_sobel_gradient.py /^TEST_CASE_10 = [ # Normalized gradients but non-normalized kernels$/;" v -TEST_CASE_10 tests/test_sobel_gradientd.py /^TEST_CASE_10 = [ # Normalized gradients and normalized kernels$/;" v -TEST_CASE_10_DIRECTORY_STORE tests/test_zarr_avg_merger.py /^TEST_CASE_10_DIRECTORY_STORE = [$/;" v -TEST_CASE_10_MPP tests/test_wsireader.py /^TEST_CASE_10_MPP = [$/;" v -TEST_CASE_10_STR_MERGER tests/test_patch_inferer.py /^TEST_CASE_10_STR_MERGER = [$/;" v -TEST_CASE_11 tests/test_compute_meandice.py /^TEST_CASE_11 = [$/;" v -TEST_CASE_11 tests/test_compute_meaniou.py /^TEST_CASE_11 = [$/;" v -TEST_CASE_11 tests/test_config_item.py /^TEST_CASE_11 = ["collate_fn", "$var + 100"]$/;" v -TEST_CASE_11 tests/test_fill_holes.py /^TEST_CASE_11 = ["open_to_other_label_connectivity_1_default_applied_labels", {"connectivity": 1}/;" v -TEST_CASE_11 tests/test_fill_holesd.py /^TEST_CASE_11 = ["open_to_other_label_connectivity_1_default_applied_labels", {"connectivity": 1}/;" v -TEST_CASE_11 tests/test_foreground_mask.py /^TEST_CASE_11 = [{"threshold": None, "hsv_threshold": "otsu"}, IMAGE1, np.ones_like(MASK)]$/;" v -TEST_CASE_11 tests/test_foreground_maskd.py /^TEST_CASE_11 = [{"keys": "image", "threshold": None, "hsv_threshold": "otsu"}, {"image": IMAGE1}/;" v -TEST_CASE_11 tests/test_grid_patch.py /^TEST_CASE_11 = [$/;" v -TEST_CASE_11 tests/test_grid_patchd.py /^TEST_CASE_11 = [$/;" v -TEST_CASE_11 tests/test_load_image.py /^TEST_CASE_11 = [{"reader": "ITKReader", "pixel_type": itk_uc}, "tests\/testing_data\/CT_DICOM", /;" v -TEST_CASE_11 tests/test_rand_grid_patch.py /^TEST_CASE_11 = [{"patch_size": (2, 2), "sort_fn": "random", "num_patches": 2}, A, [A11, A12]]$/;" v -TEST_CASE_11 tests/test_rand_grid_patchd.py /^TEST_CASE_11 = [{"patch_size": (2, 2), "sort_fn": "random", "num_patches": 2}, {"image": A}, [A1/;" v -TEST_CASE_11 tests/test_sobel_gradientd.py /^TEST_CASE_11 = [ # Normalized gradients but non-normalized kernels$/;" v -TEST_CASE_11_MEMORY_STORE tests/test_zarr_avg_merger.py /^TEST_CASE_11_MEMORY_STORE = [$/;" v -TEST_CASE_11_MPP tests/test_wsireader.py /^TEST_CASE_11_MPP = [$/;" v -TEST_CASE_11_PADDING tests/test_patch_inferer.py /^TEST_CASE_11_PADDING = [$/;" v -TEST_CASE_12 tests/test_compute_meandice.py /^TEST_CASE_12 = [$/;" v -TEST_CASE_12 tests/test_compute_meaniou.py /^TEST_CASE_12 = [$/;" v -TEST_CASE_12 tests/test_fill_holes.py /^TEST_CASE_12 = [$/;" v -TEST_CASE_12 tests/test_fill_holesd.py /^TEST_CASE_12 = [$/;" v -TEST_CASE_12 tests/test_foreground_mask.py /^TEST_CASE_12 = [{"threshold": None, "hsv_threshold": {"S": "otsu"}}, IMAGE1, MASK]$/;" v -TEST_CASE_12 tests/test_foreground_maskd.py /^TEST_CASE_12 = [{"keys": "image", "threshold": None, "hsv_threshold": {"S": "otsu"}}, {"image": /;" v -TEST_CASE_12 tests/test_grid_patch.py /^TEST_CASE_12 = [$/;" v -TEST_CASE_12 tests/test_grid_patchd.py /^TEST_CASE_12 = [$/;" v -TEST_CASE_12 tests/test_load_image.py /^TEST_CASE_12 = [$/;" v -TEST_CASE_12 tests/test_rand_grid_patch.py /^TEST_CASE_12 = [{"patch_size": (2, 2), "sort_fn": "random", "num_patches": 4}, A, [A11, A12, A21/;" v -TEST_CASE_12 tests/test_rand_grid_patchd.py /^TEST_CASE_12 = [{"patch_size": (2, 2), "sort_fn": "random", "num_patches": 4}, {"image": A}, [A1/;" v -TEST_CASE_12_CHUNKS tests/test_zarr_avg_merger.py /^TEST_CASE_12_CHUNKS = [$/;" v -TEST_CASE_12_MATCHING tests/test_patch_inferer.py /^TEST_CASE_12_MATCHING = [$/;" v -TEST_CASE_12_MPP tests/test_wsireader.py /^TEST_CASE_12_MPP = [$/;" v -TEST_CASE_13 tests/test_compute_meandice.py /^TEST_CASE_13 = [$/;" v -TEST_CASE_13 tests/test_fill_holes.py /^TEST_CASE_13 = [$/;" v -TEST_CASE_13 tests/test_fill_holesd.py /^TEST_CASE_13 = [$/;" v -TEST_CASE_13 tests/test_foreground_mask.py /^TEST_CASE_13 = [{"threshold": 100, "invert": True}, IMAGE1, np.logical_not(MASK)]$/;" v -TEST_CASE_13 tests/test_foreground_maskd.py /^TEST_CASE_13 = [{"keys": "image", "threshold": 100, "invert": True}, {"image": IMAGE1}, np.logic/;" v -TEST_CASE_13 tests/test_grid_patch.py /^TEST_CASE_13 = [{"patch_size": (2, 2), "threshold": 50.0}, A, [A11]]$/;" v -TEST_CASE_13 tests/test_grid_patchd.py /^TEST_CASE_13 = [{"patch_size": (2, 2), "threshold": 50.0}, {"image": A}, [A11]]$/;" v -TEST_CASE_13 tests/test_load_image.py /^TEST_CASE_13 = [{"reader": "nibabelreader", "channel_dim": 0}, "test_image.nii.gz", (3, 128, 128/;" v -TEST_CASE_13 tests/test_rand_grid_patch.py /^TEST_CASE_13 = [$/;" v -TEST_CASE_13 tests/test_rand_grid_patchd.py /^TEST_CASE_13 = [$/;" v -TEST_CASE_13_COMPRESSOR_LZ4 tests/test_zarr_avg_merger.py /^TEST_CASE_13_COMPRESSOR_LZ4 = [$/;" v -TEST_CASE_13_MPP tests/test_wsireader.py /^TEST_CASE_13_MPP = [$/;" v -TEST_CASE_13_PADDING_MATCHING tests/test_patch_inferer.py /^TEST_CASE_13_PADDING_MATCHING = [$/;" v -TEST_CASE_14 tests/test_compute_meandice.py /^TEST_CASE_14 = [$/;" v -TEST_CASE_14 tests/test_fill_holes.py /^TEST_CASE_14 = [$/;" v -TEST_CASE_14 tests/test_fill_holesd.py /^TEST_CASE_14 = [$/;" v -TEST_CASE_14 tests/test_foreground_mask.py /^TEST_CASE_14 = [{}, IMAGE3D, MASK3D]$/;" v -TEST_CASE_14 tests/test_foreground_maskd.py /^TEST_CASE_14 = [{"keys": "image"}, {"image": IMAGE3D}, MASK3D]$/;" v -TEST_CASE_14 tests/test_grid_patch.py /^TEST_CASE_14 = [{"patch_size": (2, 2), "threshold": 150.0}, A, [A11, A12, A21]]$/;" v -TEST_CASE_14 tests/test_grid_patchd.py /^TEST_CASE_14 = [{"patch_size": (2, 2), "threshold": 150.0}, {"image": A}, [A11, A12, A21]]$/;" v -TEST_CASE_14 tests/test_load_image.py /^TEST_CASE_14 = [$/;" v -TEST_CASE_14_COMPRESSOR_PICKLE tests/test_zarr_avg_merger.py /^TEST_CASE_14_COMPRESSOR_PICKLE = [$/;" v -TEST_CASE_14_MPP tests/test_wsireader.py /^TEST_CASE_14_MPP = [$/;" v -TEST_CASE_14_MULTITHREAD_BUFFER tests/test_patch_inferer.py /^TEST_CASE_14_MULTITHREAD_BUFFER = [$/;" v -TEST_CASE_15 tests/test_compute_meandice.py /^TEST_CASE_15 = [$/;" v -TEST_CASE_15 tests/test_fill_holes.py /^TEST_CASE_15 = [$/;" v -TEST_CASE_15 tests/test_fill_holesd.py /^TEST_CASE_15 = [$/;" v -TEST_CASE_15 tests/test_foreground_mask.py /^TEST_CASE_15 = [{"hsv_threshold": {"S": 0.1}}, IMAGE3D, MASK3D]$/;" v -TEST_CASE_15 tests/test_foreground_maskd.py /^TEST_CASE_15 = [{"keys": "image", "hsv_threshold": {"S": 0.1}}, {"image": IMAGE3D}, MASK3D]$/;" v -TEST_CASE_15 tests/test_grid_patch.py /^TEST_CASE_15 = [{"patch_size": (2, 2), "num_patches": 3, "threshold": 50.0}, A, [A11]]$/;" v -TEST_CASE_15 tests/test_grid_patchd.py /^TEST_CASE_15 = [{"patch_size": (2, 2), "threshold": 50.0, "num_patches": 3}, {"image": A}, [A11]/;" v -TEST_CASE_15 tests/test_load_image.py /^TEST_CASE_15 = [{"reader": "nibabelreader", "channel_dim": 2}, "test_image.nii.gz", (128, 128, 3/;" v -TEST_CASE_15_COMPRESSOR_LZMA tests/test_zarr_avg_merger.py /^TEST_CASE_15_COMPRESSOR_LZMA = [$/;" v -TEST_CASE_15_MPP tests/test_wsireader.py /^TEST_CASE_15_MPP = [$/;" v -TEST_CASE_15_MULTITHREADD_BUFFER tests/test_patch_inferer.py /^TEST_CASE_15_MULTITHREADD_BUFFER = [$/;" v -TEST_CASE_16 tests/test_fill_holes.py /^TEST_CASE_16 = [$/;" v -TEST_CASE_16 tests/test_fill_holesd.py /^TEST_CASE_16 = [$/;" v -TEST_CASE_16 tests/test_grid_patch.py /^TEST_CASE_16 = [{"patch_size": (2, 2), "num_patches": 2, "threshold": 150.0}, A, [A11, A12]]$/;" v -TEST_CASE_16 tests/test_grid_patchd.py /^TEST_CASE_16 = [{"patch_size": (2, 2), "threshold": 150.0, "num_patches": 2}, {"image": A}, [A11/;" v -TEST_CASE_16 tests/test_load_image.py /^TEST_CASE_16 = [{"reader": "itkreader", "channel_dim": 0}, "test_image.nii.gz", (3, 128, 128, 12/;" v -TEST_CASE_16_MPP tests/test_wsireader.py /^TEST_CASE_16_MPP = [$/;" v -TEST_CASE_16_WITH_LOCK tests/test_zarr_avg_merger.py /^TEST_CASE_16_WITH_LOCK = [$/;" v -TEST_CASE_17 tests/test_fill_holes.py /^TEST_CASE_17 = [$/;" v -TEST_CASE_17 tests/test_fill_holesd.py /^TEST_CASE_17 = [$/;" v -TEST_CASE_17 tests/test_load_image.py /^TEST_CASE_17 = [{"reader": "monai.data.ITKReader", "channel_dim": -1}, "test_image.nii.gz", (128/;" v -TEST_CASE_17_POWER tests/test_wsireader.py /^TEST_CASE_17_POWER = [$/;" v -TEST_CASE_17_WITHOUT_LOCK tests/test_zarr_avg_merger.py /^TEST_CASE_17_WITHOUT_LOCK = [$/;" v -TEST_CASE_18 tests/test_fill_holes.py /^TEST_CASE_18 = [$/;" v -TEST_CASE_18 tests/test_fill_holesd.py /^TEST_CASE_18 = [$/;" v -TEST_CASE_18 tests/test_load_image.py /^TEST_CASE_18 = [$/;" v -TEST_CASE_18_POWER tests/test_wsireader.py /^TEST_CASE_18_POWER = [$/;" v -TEST_CASE_19 tests/test_fill_holes.py /^TEST_CASE_19 = [$/;" v -TEST_CASE_19 tests/test_fill_holesd.py /^TEST_CASE_19 = [$/;" v -TEST_CASE_19 tests/test_load_image.py /^TEST_CASE_19 = [{"reader": PydicomReader()}, "tests\/testing_data\/CT_DICOM", (16, 16, 4), (16, /;" v -TEST_CASE_19_POWER tests/test_wsireader.py /^TEST_CASE_19_POWER = [$/;" v -TEST_CASE_1D tests/test_savitzky_golay_filter.py /^TEST_CASE_1D = [$/;" v -TEST_CASE_1D_2CH_SINE_CPU tests/test_hilbert_transform.py /^TEST_CASE_1D_2CH_SINE_CPU = [$/;" v -TEST_CASE_1D_2CH_SINE_GPU tests/test_hilbert_transform.py /^ TEST_CASE_1D_2CH_SINE_GPU = [$/;" v -TEST_CASE_1D_REP tests/test_savitzky_golay_filter.py /^TEST_CASE_1D_REP = [$/;" v -TEST_CASE_1D_SINE tests/test_detect_envelope.py /^TEST_CASE_1D_SINE = [$/;" v -TEST_CASE_1D_SINE_CPU tests/test_hilbert_transform.py /^TEST_CASE_1D_SINE_CPU = [$/;" v -TEST_CASE_1D_SINE_GPU tests/test_hilbert_transform.py /^ TEST_CASE_1D_SINE_GPU = [$/;" v -TEST_CASE_1D_SINE_PADDING_N tests/test_detect_envelope.py /^TEST_CASE_1D_SINE_PADDING_N = [$/;" v -TEST_CASE_1_DEFAULT_DTYPE tests/test_avg_merger.py /^TEST_CASE_1_DEFAULT_DTYPE = [$/;" v -TEST_CASE_1_DEFAULT_DTYPE tests/test_zarr_avg_merger.py /^TEST_CASE_1_DEFAULT_DTYPE = [$/;" v -TEST_CASE_1_TENSOR tests/test_patch_inferer.py /^TEST_CASE_1_TENSOR = [TENSOR_4x4, dict(splitter=SlidingWindowSplitter(patch_size=(2, 2))), lambd/;" v -TEST_CASE_2 tests/test_adjust_contrast.py /^ TEST_CASE_2 = [0.5, invert_image, retain_stats]$/;" v -TEST_CASE_2 tests/test_adjust_contrastd.py /^ TEST_CASE_2 = [0.5, invert_image, retain_stats]$/;" v -TEST_CASE_2 tests/test_arraydataset.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_autoencoder.py /^TEST_CASE_2 = [ # 3-channel 2D, batch 4, LeakyReLU activation$/;" v -TEST_CASE_2 tests/test_bounding_rect.py /^TEST_CASE_2 = [(1, 8, 10), [[0, 7, 1, 9]]]$/;" v -TEST_CASE_2 tests/test_bounding_rectd.py /^TEST_CASE_2 = [(1, 8, 10), [[0, 7, 1, 9]]]$/;" v -TEST_CASE_2 tests/test_bundle_ckpt_export.py /^TEST_CASE_2 = ["model", ""]$/;" v -TEST_CASE_2 tests/test_bundle_download.py /^TEST_CASE_2 = ["test_bundle", "0.1.1"]$/;" v -TEST_CASE_2 tests/test_bundle_get_data.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_bundle_onnx_export.py /^TEST_CASE_2 = ["False"]$/;" v -TEST_CASE_2 tests/test_bundle_trt_export.py /^TEST_CASE_2 = ["fp16", [], []]$/;" v -TEST_CASE_2 tests/test_bundle_workflow.py /^TEST_CASE_2 = [os.path.join(os.path.dirname(__file__), "testing_data", "inference.yaml")]$/;" v -TEST_CASE_2 tests/test_cachedataset.py /^TEST_CASE_2 = [None, (128, 128, 128)]$/;" v -TEST_CASE_2 tests/test_cachedataset_parallel.py /^TEST_CASE_2 = [4, 5, Compose([LoadImaged(keys=["image", "label", "extra"])])]$/;" v -TEST_CASE_2 tests/test_cast_to_typed.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_check_hash.py /^TEST_CASE_2 = ["abcdefg", "md5", False]$/;" v -TEST_CASE_2 tests/test_compute_froc.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_compute_generalized_dice.py /^TEST_CASE_2 = [ # y (2, 1, 2, 2), y_pred (2, 3, 2, 2), expected out (2) (no background)$/;" v -TEST_CASE_2 tests/test_compute_meandice.py /^TEST_CASE_2 = [ # y (2, 1, 2, 2), y_pred (2, 3, 2, 2), expected out (2, 2) (no background)$/;" v -TEST_CASE_2 tests/test_compute_meaniou.py /^TEST_CASE_2 = [ # y (2, 3, 2, 2), y_pred (2, 3, 2, 2), expected out (2, 2) (no background)$/;" v -TEST_CASE_2 tests/test_compute_roc_auc.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_compute_variance.py /^TEST_CASE_2 = [ # y_pred (1, 1, 2, 2), expected out (0.0)$/;" v -TEST_CASE_2 tests/test_config_item.py /^TEST_CASE_2 = [{"_target_": "LoadImaged", "keys": ["image"], "_desc_": "an image reader for 'ima/;" v -TEST_CASE_2 tests/test_config_parser.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_convert_to_trt.py /^TEST_CASE_2 = ["fp16"]$/;" v -TEST_CASE_2 tests/test_copy_itemsd.py /^TEST_CASE_2 = [["img", "seg"], 1, ["img_1", "seg_1"]]$/;" v -TEST_CASE_2 tests/test_data_stats.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_data_statsd.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_dataloader.py /^TEST_CASE_2 = [[{"label": torch.as_tensor([[3], [2]])}, {"label": np.asarray([[1], [2]])}]]$/;" v -TEST_CASE_2 tests/test_deepgrow_dataset.py /^TEST_CASE_2 = [{"dimension": 2, "pixdim": (1, 1), "limit": 1}, {"length": 3}, 3, 1]$/;" v -TEST_CASE_2 tests/test_delete_itemsd.py /^TEST_CASE_2 = [{"keys": ["image\/" + str(i) for i in range(30)], "sep": "\/"}, 20]$/;" v -TEST_CASE_2 tests/test_densenet.py /^TEST_CASE_2 = [ # 4-channel 2D, batch 2$/;" v -TEST_CASE_2 tests/test_detector_utils.py /^TEST_CASE_2 = [ # 2D, batch 2, 1 input channel$/;" v -TEST_CASE_2 tests/test_discriminator.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_ensemble_evaluator.py /^TEST_CASE_2 = [None]$/;" v -TEST_CASE_2 tests/test_ensure_channel_first.py /^TEST_CASE_2 = [{}, ["test_image.nii.gz"], -1]$/;" v -TEST_CASE_2 tests/test_ensure_channel_firstd.py /^TEST_CASE_2 = [{"keys": "img"}, ["test_image.nii.gz"], -1]$/;" v -TEST_CASE_2 tests/test_fill_holes.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_fill_holesd.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_flatten_sub_keysd.py /^TEST_CASE_2 = [{"keys": "pred", "sub_keys": ["a", "b"]}, {"image": I, "pred": D1}, {"a": A, "b":/;" v -TEST_CASE_2 tests/test_foreground_mask.py /^TEST_CASE_2 = [{"threshold": "otsu"}, IMAGE2, MASK]$/;" v -TEST_CASE_2 tests/test_foreground_maskd.py /^TEST_CASE_2 = [{"keys": "image", "threshold": "otsu"}, {"image": IMAGE2}, MASK]$/;" v -TEST_CASE_2 tests/test_gdsdataset.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_generate_instance_centroid.py /^TEST_CASE_2 = [(x - 8) ** 2 + (y - 8) ** 2 <= 2**2, [6, 6], [8, 8]]$/;" v -TEST_CASE_2 tests/test_generate_instance_centroidd.py /^TEST_CASE_2 = [(x - 8) ** 2 + (y - 8) ** 2 <= 2**2, [6, 6], [8, 8]]$/;" v -TEST_CASE_2 tests/test_generate_instance_contour.py /^TEST_CASE_2 = [(x - 8) ** 2 + (y - 8) ** 2 <= 2**2, 3, [8, 8], [[10, 8], [8, 10], [10, 12], [12,/;" v -TEST_CASE_2 tests/test_generate_instance_contourd.py /^TEST_CASE_2 = [(x - 10) ** 2 + (y - 10) ** 2 <= 2**2, 3, [8, 8], [[10, 8], [8, 10], [10, 12], [1/;" v -TEST_CASE_2 tests/test_generate_instance_type.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_generate_instance_typed.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_generate_label_classes_crop_centers.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_generate_param_groups.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_generate_succinct_contour.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_generate_succinct_contourd.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_generator.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_grid_dataset.py /^TEST_CASE_2 = [{"patch_size": (2, 2), "start_pos": (0, 0, 2)}, A, [A12, A22], np.array([COORD12,/;" v -TEST_CASE_2 tests/test_grid_patch.py /^TEST_CASE_2 = [{"patch_size": (2, 2), "num_patches": 5}, A, [A11, A12, A21, A22, np.zeros((3, 2,/;" v -TEST_CASE_2 tests/test_grid_patchd.py /^TEST_CASE_2 = [{"patch_size": (2, 2), "num_patches": 5}, {"image": A}, [A11, A12, A21, A22, np.z/;" v -TEST_CASE_2 tests/test_grid_split.py /^TEST_CASE_2 = [{"grid": (1, 2)}, A1, [A11, A12]]$/;" v -TEST_CASE_2 tests/test_grid_splitd.py /^TEST_CASE_2 = [{"keys": "image", "grid": (1, 2)}, {"image": A1}, [A11, A12]]$/;" v -TEST_CASE_2 tests/test_handler_checkpoint_saver.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_handler_confusion_matrix.py /^TEST_CASE_2 = [{"include_background": False, "save_details": False, "metric_name": "ppv"}, 1.0]$/;" v -TEST_CASE_2 tests/test_handler_garbage_collector.py /^TEST_CASE_2 = [[0, 1, 2], Events.EPOCH_COMPLETED]$/;" v -TEST_CASE_2 tests/test_handler_ignite_metric.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_handler_mean_dice.py /^TEST_CASE_2 = [{"include_background": False, "output_transform": from_engine(["pred", "label"])}/;" v -TEST_CASE_2 tests/test_handler_mean_iou.py /^TEST_CASE_2 = [{"include_background": False, "output_transform": from_engine(["pred", "label"])}/;" v -TEST_CASE_2 tests/test_handler_panoptic_quality.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_handler_post_processing.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_handler_prob_map_producer.py /^TEST_CASE_2 = ["temp_image_inference_output_3", 100]$/;" v -TEST_CASE_2 tests/test_highresnet.py /^TEST_CASE_2 = [ # 4-channel 3D, batch 1$/;" v -TEST_CASE_2 tests/test_hovernet.py /^TEST_CASE_2 = [ # dropout$/;" v -TEST_CASE_2 tests/test_hovernet_instance_map_post_processing.py /^TEST_CASE_2 = [{"distance_smooth_fn": GaussianSmooth()}, {"1": {"type": 1, "type_prob": 1.0}}, n/;" v 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tests/test_partition_dataset_classes.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_patch_wsi_dataset.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_persistentdataset.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_pil_reader.py /^TEST_CASE_2 = [(128, 128, 3), ["test_image.png"], (128, 128, 3), (128, 128)]$/;" v -TEST_CASE_2 tests/test_plot_2d_or_3d_image.py /^TEST_CASE_2 = [(1, 3, 10, 10)]$/;" v -TEST_CASE_2 tests/test_prepare_batch_default_dist.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_prepare_batch_extra_input.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_rand_adjust_contrast.py /^TEST_CASE_2 = [1.5]$/;" v -TEST_CASE_2 tests/test_rand_adjust_contrastd.py /^TEST_CASE_2 = [1.5]$/;" v -TEST_CASE_2 tests/test_rand_coarse_dropout.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_rand_coarse_dropoutd.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_rand_grid_patch.py /^TEST_CASE_2 = [$/;" v -TEST_CASE_2 tests/test_rand_grid_patchd.py /^TEST_CASE_2 = [$/;" v 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tests/test_flatten_sub_keysd.py /^TEST_CASE_3 = [{"keys": "pred", "sub_keys": ["a", "b"]}, {"image": I, "pred": D2}, {"a": A, "b":/;" v -TEST_CASE_3 tests/test_foreground_mask.py /^TEST_CASE_3 = [{"threshold": 140}, IMAGE1, MASK]$/;" v -TEST_CASE_3 tests/test_foreground_maskd.py /^TEST_CASE_3 = [{"keys": "image", "threshold": 140}, {"image": IMAGE1}, MASK]$/;" v -TEST_CASE_3 tests/test_gdsdataset.py /^TEST_CASE_3 = [None, (128, 128, 128)]$/;" v -TEST_CASE_3 tests/test_generate_instance_centroid.py /^TEST_CASE_3 = [(x - 5) ** 2 \/ 3**2 + (y - 5) ** 2 \/ 2**2 <= 1, [2, 3], [4, 6]]$/;" v -TEST_CASE_3 tests/test_generate_instance_centroidd.py /^TEST_CASE_3 = [(x - 5) ** 2 \/ 3**2 + (y - 5) ** 2 \/ 2**2 <= 1, [2, 3], [4, 6]]$/;" v -TEST_CASE_3 tests/test_generate_instance_contour.py /^TEST_CASE_3 = [$/;" v -TEST_CASE_3 tests/test_generate_instance_contourd.py /^TEST_CASE_3 = [$/;" v -TEST_CASE_3 tests/test_generate_param_groups.py /^TEST_CASE_3 = [$/;" v -TEST_CASE_3 tests/test_grid_dataset.py /^TEST_CASE_3 = [{"patch_size": (2, 2), "start_pos": (0, 2, 0)}, A, [A21, A22], np.array([COORD21,/;" v -TEST_CASE_3 tests/test_grid_patch.py /^TEST_CASE_3 = [{"patch_size": (2, 2), "offset": (0, 0)}, A, [A11, A12, A21, A22]]$/;" v -TEST_CASE_3 tests/test_grid_patchd.py /^TEST_CASE_3 = [{"patch_size": (2, 2), "offset": (0, 0)}, {"image": A}, [A11, A12, A21, A22]]$/;" v -TEST_CASE_3 tests/test_grid_split.py /^TEST_CASE_3 = [{"grid": (1, 2)}, A2, [A21, A22]]$/;" v -TEST_CASE_3 tests/test_grid_splitd.py /^TEST_CASE_3 = [{"keys": "image", "grid": (1, 2)}, {"image": A2}, [A21, A22]]$/;" v -TEST_CASE_3 tests/test_handler_checkpoint_saver.py /^TEST_CASE_3 = [$/;" v -TEST_CASE_3 tests/test_handler_confusion_matrix.py /^TEST_CASE_3 = [{"save_details": False, "metric_name": "f1", "reduction": "mean_batch"}, torch.te/;" v -TEST_CASE_3 tests/test_handler_ignite_metric.py /^TEST_CASE_3 = [$/;" v -TEST_CASE_3 tests/test_handler_mean_dice.py /^TEST_CASE_3 = [$/;" v 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tests/test_partition_dataset.py /^TEST_CASE_5 = [$/;" v -TEST_CASE_5 tests/test_patch_wsi_dataset.py /^TEST_CASE_5 = [$/;" v -TEST_CASE_5 tests/test_pil_reader.py /^TEST_CASE_5 = [(128, 128, 3), ["test_image.jpg"], (128, 128, 3), (128, 128)]$/;" v -TEST_CASE_5 tests/test_plot_2d_or_3d_image.py /^TEST_CASE_5 = [(1, 3, 10, 10, 10)]$/;" v -TEST_CASE_5 tests/test_rand_coarse_dropout.py /^TEST_CASE_5 = [$/;" v -TEST_CASE_5 tests/test_rand_coarse_dropoutd.py /^TEST_CASE_5 = [$/;" v -TEST_CASE_5 tests/test_rand_grid_patch.py /^TEST_CASE_5 = [{"patch_size": (2, 2), "min_offset": 2, "max_offset": 2}, A, [A22]]$/;" v -TEST_CASE_5 tests/test_rand_grid_patchd.py /^TEST_CASE_5 = [{"patch_size": (2, 2), "min_offset": 2, "max_offset": 2}, {"image": A}, [A22]]$/;" v -TEST_CASE_5 tests/test_resnet.py /^TEST_CASE_5 = [ # 1D, batch 1, 2 input channels$/;" v -TEST_CASE_5 tests/test_sample_slices.py /^TEST_CASE_5 = [torch.tensor([[[0, 2], [1, 0], [4, 5]]]), 1, False, (0, 3, 2), torch.tensor([[[0,/;" v 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= [$/;" v -TEST_CASE_DYNUNET_2D tests/test_dynunet.py /^TEST_CASE_DYNUNET_2D = []$/;" v -TEST_CASE_DYNUNET_3D tests/test_dynunet.py /^TEST_CASE_DYNUNET_3D = [] # in 3d cases, also test anisotropic kernel\/strides$/;" v -TEST_CASE_ERROR_0 tests/test_patch_inferer.py /^TEST_CASE_ERROR_0 = [None, dict(splitter=1), TypeError]$/;" v -TEST_CASE_ERROR_0 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_0 = [TENSOR_4x4, {"patch_size": (2, 2), "overlap": 1.0}, ValueError]$/;" v -TEST_CASE_ERROR_0 tests/test_sobel_gradient.py /^TEST_CASE_ERROR_0 = [IMAGE, {"kernel_size": 1}] # kernel size less than 3$/;" v -TEST_CASE_ERROR_0 tests/test_sobel_gradientd.py /^TEST_CASE_ERROR_0 = [{"image": IMAGE}, {"keys": "image", "kernel_size": 1}] # kernel size less /;" v -TEST_CASE_ERROR_0 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_0 = [$/;" v -TEST_CASE_ERROR_0C tests/test_wsireader.py /^TEST_CASE_ERROR_0C = [np.ones((16, 16), dtype=np.uint8)] # no color channel$/;" v 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/^TEST_CASE_ERROR_1 = [$/;" v -TEST_CASE_ERROR_10 tests/test_patch_inferer.py /^TEST_CASE_ERROR_10 = [$/;" v -TEST_CASE_ERROR_10 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_10 = [WSI_GENERIC_TIFF_PATH, {"patch_size": (2, 2), "reader": ImageReader}, Valu/;" v -TEST_CASE_ERROR_1C tests/test_wsireader.py /^TEST_CASE_ERROR_1C = [np.ones((16, 16, 1), dtype=np.uint8)] # one color channel$/;" v -TEST_CASE_ERROR_1_MPP tests/test_wsireader.py /^TEST_CASE_ERROR_1_MPP = [$/;" v -TEST_CASE_ERROR_2 tests/test_foreground_mask.py /^TEST_CASE_ERROR_2 = [{"threshold": {"K": 1}}, IMAGE1]$/;" v -TEST_CASE_ERROR_2 tests/test_foreground_maskd.py /^TEST_CASE_ERROR_2 = [{"keys": "image", "threshold": {"K": 1}}, {"image": IMAGE1}]$/;" v -TEST_CASE_ERROR_2 tests/test_patch_inferer.py /^TEST_CASE_ERROR_2 = [None, dict(splitter=SlidingWindowSplitter(patch_size=(2, 2)), merger_cls=la/;" v -TEST_CASE_ERROR_2 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_2 = [TENSOR_4x4, {"patch_size": (2, 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ValueError]$/;" v -TEST_CASE_ERROR_3 tests/test_sobel_gradient.py /^TEST_CASE_ERROR_3 = [IMAGE, {"spatial_axes": 3}] # wrong direction$/;" v -TEST_CASE_ERROR_3 tests/test_sobel_gradientd.py /^TEST_CASE_ERROR_3 = [{"image": IMAGE}, {"keys": "image", "spatial_axes": 3}] # wrong direction$/;" v -TEST_CASE_ERROR_3 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_3 = [WSI_GENERIC_TIFF_PATH, {"patch_size": (2, 2), "overlap": 3, "reader": WSI_R/;" v -TEST_CASE_ERROR_3D tests/test_wsireader.py /^TEST_CASE_ERROR_3D = [np.ones((16, 16, 16, 3), dtype=np.uint8)] # 3D + color$/;" v -TEST_CASE_ERROR_3_POWER tests/test_wsireader.py /^TEST_CASE_ERROR_3_POWER = [$/;" v -TEST_CASE_ERROR_4 tests/test_patch_inferer.py /^TEST_CASE_ERROR_4 = [$/;" v -TEST_CASE_ERROR_4 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_4 = [TENSOR_4x4, {"patch_size": (2, 2), "offset": 4}, ValueError]$/;" v -TEST_CASE_ERROR_4 tests/test_sobel_gradient.py /^TEST_CASE_ERROR_4 = [IMAGE, {"spatial_axes": [3]}] # wrong direction in a list$/;" v -TEST_CASE_ERROR_4 tests/test_sobel_gradientd.py /^TEST_CASE_ERROR_4 = [{"image": IMAGE}, {"keys": "image", "spatial_axes": [3]}] # wrong directio/;" v -TEST_CASE_ERROR_4 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_4 = [$/;" v -TEST_CASE_ERROR_5 tests/test_patch_inferer.py /^TEST_CASE_ERROR_5 = [None, dict(splitter=SlidingWindowSplitter(patch_size=(2, 2)), preprocessing/;" v -TEST_CASE_ERROR_5 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_5 = [TENSOR_4x4, {"patch_size": (2, 2), "offset": -3, "pad_mode": "constant"}, V/;" v -TEST_CASE_ERROR_5 tests/test_sobel_gradient.py /^TEST_CASE_ERROR_5 = [IMAGE, {"spatial_axes": [0, 4]}] # correct and wrong direction in a list$/;" v -TEST_CASE_ERROR_5 tests/test_sobel_gradientd.py /^TEST_CASE_ERROR_5 = [$/;" v -TEST_CASE_ERROR_5 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_5 = [$/;" v -TEST_CASE_ERROR_6 tests/test_patch_inferer.py /^TEST_CASE_ERROR_6 = [None, dict(splitter=SlidingWindowSplitter(patch_size=(2, 2)), postprocessin/;" v -TEST_CASE_ERROR_6 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_6 = [TENSOR_4x4, {"patch_size": (2, 2), "offset": -1, "pad_mode": None}, ValueEr/;" v -TEST_CASE_ERROR_6 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_6 = [$/;" v -TEST_CASE_ERROR_7 tests/test_patch_inferer.py /^TEST_CASE_ERROR_7 = [$/;" v -TEST_CASE_ERROR_7 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_7 = [TENSOR_4x4, {"patch_size": (2, 2), "filter_fn": extra_parameter_filter}, Va/;" v -TEST_CASE_ERROR_7 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_7 = [$/;" v -TEST_CASE_ERROR_8 tests/test_patch_inferer.py /^TEST_CASE_ERROR_8 = [torch.zeros(2, 2), dict(splitter=None), ValueError]$/;" v -TEST_CASE_ERROR_8 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_8 = [TENSOR_4x4, {"patch_size": (2, 2), "filter_fn": missing_parameter_filter}, /;" v -TEST_CASE_ERROR_8 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_8 = [$/;" v -TEST_CASE_ERROR_9 tests/test_patch_inferer.py /^TEST_CASE_ERROR_9 = [MetaTensor(torch.zeros(2, 2)), dict(splitter=None), ValueError]$/;" v -TEST_CASE_ERROR_9 tests/test_sliding_window_splitter.py /^TEST_CASE_ERROR_9 = [TENSOR_4x4, {"patch_size": (2, 2), "filter_fn": 1}, ValueError]$/;" v -TEST_CASE_ERROR_9 tests/test_wsi_sliding_window_splitter.py /^TEST_CASE_ERROR_9 = [$/;" v -TEST_CASE_EXTRACT tests/test_localnet_block.py /^TEST_CASE_EXTRACT = [$/;" v -TEST_CASE_EXTRACTION tests/test_regunet_block.py /^TEST_CASE_EXTRACTION = [$/;" v -TEST_CASE_FAIL tests/test_autoencoder.py /^TEST_CASE_FAIL = { # 2-channel 2D, should fail because of stride\/channel mismatch.$/;" v -TEST_CASE_FAKE_TOKEN_1 tests/test_bundle_get_data.py /^TEST_CASE_FAKE_TOKEN_1 = [{"bundle_name": "spleen_ct_segmentation", "version": "0.1.0", "auth_to/;" v -TEST_CASE_FAKE_TOKEN_2 tests/test_bundle_get_data.py /^TEST_CASE_FAKE_TOKEN_2 = [$/;" v 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-TestSignalFillEmptyNumpy tests/test_signal_fillempty.py /^class TestSignalFillEmptyNumpy(unittest.TestCase):$/;" c -TestSignalFillEmptyNumpy tests/test_signal_fillemptyd.py /^class TestSignalFillEmptyNumpy(unittest.TestCase):$/;" c -TestSignalFillEmptyTorch tests/test_signal_fillempty.py /^class TestSignalFillEmptyTorch(unittest.TestCase):$/;" c -TestSignalFillEmptyTorch tests/test_signal_fillemptyd.py /^class TestSignalFillEmptyTorch(unittest.TestCase):$/;" c -TestSignalRandAddGaussianNoiseNumpy tests/test_signal_rand_add_gaussiannoise.py /^class TestSignalRandAddGaussianNoiseNumpy(unittest.TestCase):$/;" c -TestSignalRandAddGaussianNoiseTorch tests/test_signal_rand_add_gaussiannoise.py /^class TestSignalRandAddGaussianNoiseTorch(unittest.TestCase):$/;" c -TestSignalRandAddSineNumpy tests/test_signal_rand_add_sine.py /^class TestSignalRandAddSineNumpy(unittest.TestCase):$/;" c -TestSignalRandAddSinePartialNumpy tests/test_signal_rand_add_sine_partial.py /^class 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tests/test_splitdimd.py /^class TestSplitDimd(unittest.TestCase):$/;" c -TestSplitLabelsd tests/test_nuclick_transforms.py /^class TestSplitLabelsd(unittest.TestCase):$/;" c -TestSplitPredsLabeld tests/test_deepedit_transforms.py /^class TestSplitPredsLabeld(unittest.TestCase):$/;" c -TestSqueezeDim tests/test_squeezedim.py /^class TestSqueezeDim(unittest.TestCase):$/;" c -TestSqueezeDim tests/test_squeezedimd.py /^class TestSqueezeDim(unittest.TestCase):$/;" c -TestStateCacher tests/test_state_cacher.py /^class TestStateCacher(unittest.TestCase):$/;" c -TestStdShiftIntensity tests/test_std_shift_intensity.py /^class TestStdShiftIntensity(NumpyImageTestCase2D):$/;" c -TestStdShiftIntensityd tests/test_std_shift_intensityd.py /^class TestStdShiftIntensityd(NumpyImageTestCase2D):$/;" c -TestStr2Bool tests/test_str2bool.py /^class TestStr2Bool(unittest.TestCase):$/;" c -TestStr2List tests/test_str2list.py /^class TestStr2List(unittest.TestCase):$/;" c -TestSuggestion tests/test_get_layers.py /^class TestSuggestion(unittest.TestCase):$/;" c -TestTRTExport tests/test_bundle_trt_export.py /^class TestTRTExport(unittest.TestCase):$/;" c -TestTargetBasedSpatialCropd tests/test_reference_based_spatial_cropd.py /^class TestTargetBasedSpatialCropd(unittest.TestCase):$/;" c -TestTciaDataset tests/test_tciadataset.py /^class TestTciaDataset(unittest.TestCase):$/;" c -TestTensor tests/test_convert_data_type.py /^class TestTensor(torch.Tensor):$/;" c -TestTestTimeAugmentation tests/test_testtimeaugmentation.py /^class TestTestTimeAugmentation(unittest.TestCase):$/;" c -TestTextEncoder tests/test_text_encoding.py /^class TestTextEncoder(unittest.TestCase):$/;" c -TestThreadContainer tests/test_threadcontainer.py /^class TestThreadContainer(unittest.TestCase):$/;" c -TestThresholdIntensity tests/test_threshold_intensity.py /^class TestThresholdIntensity(unittest.TestCase):$/;" c -TestThresholdIntensityd tests/test_threshold_intensityd.py /^class 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c -TestToPIL tests/test_to_pild.py /^class TestToPIL(unittest.TestCase):$/;" c -TestToTensor tests/test_to_tensor.py /^class TestToTensor(unittest.TestCase):$/;" c -TestToTensord tests/test_to_tensord.py /^class TestToTensord(unittest.TestCase):$/;" c -TestToTupleOfDictionaries tests/test_monai_utils_misc.py /^class TestToTupleOfDictionaries(unittest.TestCase):$/;" c -TestTorchVision tests/test_torchvision.py /^class TestTorchVision(unittest.TestCase):$/;" c -TestTorchVisionFCModel tests/test_torchvision_fc_model.py /^class TestTorchVisionFCModel(unittest.TestCase):$/;" c -TestTorchVisiond tests/test_torchvisiond.py /^class TestTorchVisiond(unittest.TestCase):$/;" c -TestTorchscript tests/test_torchscript_utils.py /^class TestTorchscript(unittest.TestCase):$/;" c -TestTraceable tests/test_traceable_transform.py /^class TestTraceable(unittest.TestCase):$/;" c -TestTranschex tests/test_transchex.py /^class TestTranschex(unittest.TestCase):$/;" c -TestTransform tests/test_transform.py /^class TestTransform(unittest.TestCase):$/;" c -TestTransformerBlock tests/test_transformerblock.py /^class TestTransformerBlock(unittest.TestCase):$/;" c -TestTransformsWCacheDatasetAndPersistentWorkers tests/test_cachedataset_persistent_workers.py /^class TestTransformsWCacheDatasetAndPersistentWorkers(unittest.TestCase):$/;" c -TestTranspose tests/test_transpose.py /^class TestTranspose(unittest.TestCase):$/;" c -TestTranspose tests/test_transposed.py /^class TestTranspose(unittest.TestCase):$/;" c -TestTverskyLoss tests/test_tversky_loss.py /^class TestTverskyLoss(unittest.TestCase):$/;" c -TestUNET tests/test_unet.py /^class TestUNET(unittest.TestCase):$/;" c -TestUNETR tests/test_unetr.py /^class TestUNETR(unittest.TestCase):$/;" c -TestUltrasoundConfidenceMapTransform tests/test_ultrasound_confidence_map_transform.py /^class TestUltrasoundConfidenceMapTransform(unittest.TestCase):$/;" c -TestUnsqueeze tests/test_squeeze_unsqueeze.py /^class TestUnsqueeze(unittest.TestCase):$/;" c -TestUpBlock tests/test_dynunet_block.py /^class TestUpBlock(unittest.TestCase):$/;" c -TestUpBlock tests/test_unetr_block.py /^class TestUpBlock(unittest.TestCase):$/;" c -TestUpsample tests/test_upsample_block.py /^class TestUpsample(unittest.TestCase):$/;" c -TestVNet tests/test_vnet.py /^class TestVNet(unittest.TestCase):$/;" c -TestVOXELMORPH tests/test_voxelmorph.py /^class TestVOXELMORPH(unittest.TestCase):$/;" c -TestVarAutoEncoder tests/test_varautoencoder.py /^class TestVarAutoEncoder(unittest.TestCase):$/;" c -TestVarNet tests/test_varnet.py /^class TestVarNet(unittest.TestCase):$/;" c -TestVerifyMetaData tests/test_bundle_verify_metadata.py /^class TestVerifyMetaData(unittest.TestCase):$/;" c -TestVerifyNetwork tests/test_bundle_verify_net.py /^class TestVerifyNetwork(unittest.TestCase):$/;" c -TestVersionCompare tests/test_version.py /^class TestVersionCompare(unittest.TestCase):$/;" c -TestViT tests/test_vit.py /^class TestViT(unittest.TestCase):$/;" c -TestVideoDataset tests/test_video_datasets.py /^ class TestVideoDataset(unittest.TestCase):$/;" c class:Base -TestVideoFileDataset tests/test_video_datasets.py /^class TestVideoFileDataset(Base.TestVideoDataset):$/;" c -TestVisibleDevices tests/test_set_visible_devices.py /^class TestVisibleDevices(unittest.TestCase):$/;" c -TestVitAutoenc tests/test_vitautoenc.py /^class TestVitAutoenc(unittest.TestCase):$/;" c -TestVoteEnsemble tests/test_vote_ensemble.py /^class TestVoteEnsemble(unittest.TestCase):$/;" c -TestVoteEnsembled tests/test_vote_ensembled.py /^class TestVoteEnsembled(unittest.TestCase):$/;" c -TestWarp tests/test_warp.py /^class TestWarp(unittest.TestCase):$/;" c -TestWatershed tests/test_watershed.py /^class TestWatershed(unittest.TestCase):$/;" c -TestWatershedd tests/test_watershedd.py /^class TestWatershedd(unittest.TestCase):$/;" c -TestWeightInit tests/test_weight_init.py /^class TestWeightInit(unittest.TestCase):$/;" c -TestWithAllowMissingKeysMode tests/test_with_allow_missing_keys.py /^class TestWithAllowMissingKeysMode(unittest.TestCase):$/;" c -TestWorkflowProfiler tests/test_profiling.py /^class TestWorkflowProfiler(unittest.TestCase):$/;" c -TestWriteMetricsReports tests/test_write_metrics_reports.py /^class TestWriteMetricsReports(unittest.TestCase):$/;" c -TestZipDataset tests/test_zipdataset.py /^class TestZipDataset(unittest.TestCase):$/;" c -TestZoom tests/test_zoom.py /^class TestZoom(NumpyImageTestCase2D):$/;" c -TestZoomAffine tests/test_zoom_affine.py /^class TestZoomAffine(unittest.TestCase):$/;" c -TestZoomd tests/test_zoomd.py /^class TestZoomd(NumpyImageTestCase2D):$/;" c -TestclDiceLoss tests/test_cldice_loss.py /^class TestclDiceLoss(unittest.TestCase):$/;" c -Testing data CONTRIBUTING.md /^##### Testing data$/;" T subsubsection:The contribution process""Preparing pull requests""Unit testing -TestnnUNetV2Runner tests/test_integration_nnunetv2_runner.py /^class TestnnUNetV2Runner(unittest.TestCase):$/;" c -Tests tests/test_masked_patch_wsi_dataset.py /^ class Tests(unittest.TestCase):$/;" c class:MaskedPatchWSIDatasetTests -Tests tests/test_patch_wsi_dataset.py /^ class Tests(unittest.TestCase):$/;" c class:PatchWSIDatasetTests -Tests tests/test_sliding_patch_wsi_dataset.py /^ class Tests(unittest.TestCase):$/;" c class:SlidingPatchWSIDatasetTests -Tests tests/test_wsireader.py /^ class Tests(unittest.TestCase):$/;" c class:WSIReaderTests -TextEncoder monai/networks/blocks/text_embedding.py /^class TextEncoder(nn.Module):$/;" c -That docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -The docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -The docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -The code reviewing process CONTRIBUTING.md /^## The code reviewing process$/;" s -The command line interface docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -The command line interface docs/source/config_syntax.md /^## The command line interface$/;" s chapter:MONAI Bundle Configuration -The command line interface# docs/build/html/config_syntax.html /^<h2>The command line interface<a class="headerlink" href="#the-command-line-interface" title="Li/;" i -The contribution process CONTRIBUTING.md /^## The contribution process$/;" s -Their docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -Then docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -There docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -These docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -ThreadBuffer docs/build/html/_modules/monai/data/thread_buffer.html /^<div class="viewcode-block" id="ThreadBuffer">$/;" I -ThreadBuffer docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -ThreadBuffer docs/source/data.rst /^ThreadBuffer$/;" s chapter:Utilities -ThreadBuffer monai/data/thread_buffer.py /^class ThreadBuffer:$/;" c -ThreadBuffer# docs/build/html/data.html /^<h3>ThreadBuffer<a class="headerlink" href="#threadbuffer" title="Link to this heading">#<\/a><\//;" j -ThreadContainer docs/build/html/_modules/monai/utils/jupyter_utils.html /^<div class="viewcode-block" id="ThreadContainer">$/;" I -ThreadContainer monai/utils/jupyter_utils.py /^class ThreadContainer(Thread):$/;" c -ThreadContainer.plot_status docs/build/html/_modules/monai/utils/jupyter_utils.html /^<div class="viewcode-block" id="ThreadContainer.plot_status">$/;" I -ThreadContainer.run docs/build/html/_modules/monai/utils/jupyter_utils.html /^<div class="viewcode-block" id="ThreadContainer.run">$/;" I -ThreadContainer.status docs/build/html/_modules/monai/utils/jupyter_utils.html /^<div class="viewcode-block" id="ThreadContainer.status">$/;" I -ThreadContainer.stop docs/build/html/_modules/monai/utils/jupyter_utils.html /^<div class="viewcode-block" id="ThreadContainer.stop">$/;" I -ThreadDataLoader docs/build/html/_modules/monai/data/thread_buffer.html /^<div class="viewcode-block" id="ThreadDataLoader">$/;" I -ThreadDataLoader docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -ThreadDataLoader docs/source/data.rst /^ThreadDataLoader$/;" s chapter:Utilities -ThreadDataLoader monai/data/thread_buffer.py /^class ThreadDataLoader(DataLoader):$/;" c -ThreadDataLoader vs. DataLoader docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -ThreadDataLoader vs. DataLoader# docs/build/html/modules.html /^<h3><code class="docutils literal notranslate"><span class="pre">ThreadDataLoader<\/span><\/code/;" j -ThreadDataLoader# docs/build/html/data.html /^<h3>ThreadDataLoader<a class="headerlink" href="#threaddataloader" title="Link to this heading">/;" j -ThreadUnsafe monai/transforms/traits.py /^class ThreadUnsafe:$/;" c -ThresholdIntensity docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="ThresholdIntensity">$/;" I -ThresholdIntensity docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -ThresholdIntensity monai/transforms/intensity/array.py /^class ThresholdIntensity(Transform):$/;" c -ThresholdIntensity.__call__ docs/build/html/_modules/monai/transforms/intensity/array.html /^<div class="viewcode-block" id="ThresholdIntensity.__call__">$/;" I -ThresholdIntensityD monai/transforms/intensity/dictionary.py /^ThresholdIntensityD = ThresholdIntensityDict = ThresholdIntensityd$/;" v -ThresholdIntensityd docs/build/html/_modules/monai/transforms/intensity/dictionary.html /^<div class="viewcode-block" id="ThresholdIntensityd">$/;" I 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optional_import("ignite.metrics", IgniteInfo.OPT_IMPORT_VERSION, min_version, "M/;" v -_ monai/engines/trainer.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/engines/trainer.py /^ EventEnum, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, /;" v -_ monai/engines/trainer.py /^ Metric, _ = optional_import("ignite.metrics", IgniteInfo.OPT_IMPORT_VERSION, min_version, "M/;" v -_ monai/engines/utils.py /^ EventEnum, _ = optional_import($/;" v -_ monai/engines/workflow.py /^ Engine, _ = optional_import($/;" v -_ monai/engines/workflow.py /^ EventEnum, _ = optional_import($/;" v -_ monai/engines/workflow.py /^ Metric, _ = optional_import($/;" v -_ monai/engines/workflow.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/engines/workflow.py /^State, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "State")$/;" v -_ monai/handlers/checkpoint_loader.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/checkpoint_loader.py /^Checkpoint, _ = optional_import("ignite.handlers", IgniteInfo.OPT_IMPORT_VERSION, min_version, "/;" v -_ monai/handlers/checkpoint_loader.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/checkpoint_saver.py /^ Checkpoint, _ = optional_import("ignite.handlers", IgniteInfo.OPT_IMPORT_VERSION, min_versio/;" v -_ monai/handlers/checkpoint_saver.py /^ DiskSaver, _ = optional_import("ignite.handlers", IgniteInfo.OPT_IMPORT_VERSION, min_version/;" v -_ monai/handlers/checkpoint_saver.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/checkpoint_saver.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/classification_saver.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/classification_saver.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/classification_saver.py /^idist, _ = optional_import("ignite", IgniteInfo.OPT_IMPORT_VERSION, min_version, "distributed")$/;" v -_ monai/handlers/decollate_batch.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/decollate_batch.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/earlystop_handler.py /^ Engine, _ = optional_import($/;" v -_ monai/handlers/earlystop_handler.py /^EarlyStopping, _ = optional_import("ignite.handlers", IgniteInfo.OPT_IMPORT_VERSION, min_version/;" v -_ monai/handlers/earlystop_handler.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/garbage_collector.py /^ CallableEventWithFilter, _ = optional_import($/;" v -_ monai/handlers/garbage_collector.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/garbage_collector.py /^ Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Ev/;" v -_ monai/handlers/ignite_metric.py /^ _, has_ignite = optional_import("ignite")$/;" v -_ monai/handlers/ignite_metric.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/ignite_metric.py /^ Metric, _ = optional_import("ignite.metrics", IgniteInfo.OPT_IMPORT_VERSION, min_version, "M/;" v -_ monai/handlers/ignite_metric.py /^ reinit__is_reduced, _ = optional_import($/;" v -_ monai/handlers/ignite_metric.py /^idist, _ = optional_import("ignite", IgniteInfo.OPT_IMPORT_VERSION, min_version, "distributed")$/;" v -_ monai/handlers/logfile_handler.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/logfile_handler.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/lr_schedule_handler.py /^ Engine, _ = optional_import($/;" v -_ monai/handlers/lr_schedule_handler.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/metric_logger.py /^ Engine, _ = optional_import($/;" v -_ monai/handlers/metric_logger.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/metrics_saver.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/metrics_saver.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/metrics_saver.py /^idist, _ = optional_import("ignite", IgniteInfo.OPT_IMPORT_VERSION, min_version, "distributed")$/;" v -_ monai/handlers/mlflow_handler.py /^ Engine, _ = optional_import($/;" v -_ monai/handlers/mlflow_handler.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/mlflow_handler.py /^mlflow, _ = optional_import("mlflow", descriptor="Please install mlflow before using MLFlowHandl/;" v -_ monai/handlers/mlflow_handler.py /^mlflow.entities, _ = optional_import($/;" v -_ monai/handlers/mlflow_handler.py /^pandas, _ = optional_import("pandas", descriptor="Please install pandas for recording the datase/;" v -_ monai/handlers/mlflow_handler.py /^tqdm, _ = optional_import("tqdm", "4.47.0", min_version, "tqdm")$/;" v -_ monai/handlers/nvtx_handlers.py /^ Engine, _ = optional_import($/;" v -_ monai/handlers/nvtx_handlers.py /^ Events, _ = optional_import($/;" v -_ monai/handlers/nvtx_handlers.py /^_nvtx, _ = optional_import("torch._C._nvtx", descriptor="NVTX is not installed. Are you sure you/;" v -_ monai/handlers/parameter_scheduler.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/parameter_scheduler.py /^ Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Ev/;" v -_ monai/handlers/postprocessing.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/postprocessing.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/probability_maps.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/probability_maps.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/smartcache_handler.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/smartcache_handler.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/stats_handler.py /^ Engine, _ = optional_import($/;" v -_ monai/handlers/stats_handler.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/tensorboard_handlers.py /^ Engine, _ = optional_import($/;" v -_ monai/handlers/tensorboard_handlers.py /^ SummaryWriter, _ = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ monai/handlers/tensorboard_handlers.py /^ SummaryWriterX, _ = optional_import("tensorboardX", name="SummaryWriter")$/;" v -_ monai/handlers/tensorboard_handlers.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/handlers/utils.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/utils.py /^idist, _ = optional_import("ignite", IgniteInfo.OPT_IMPORT_VERSION, min_version, "distributed")$/;" v -_ monai/handlers/validation_handler.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/handlers/validation_handler.py /^Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Events/;" v -_ monai/inferers/merger.py /^ zarr, _ = optional_import("zarr")$/;" v -_ monai/inferers/utils.py /^tqdm, _ = optional_import("tqdm", name="tqdm")$/;" v -_ monai/losses/perceptual.py /^LPIPS, _ = optional_import("lpips", name="LPIPS")$/;" v -_ monai/losses/perceptual.py /^torchvision, _ = optional_import("torchvision")$/;" v -_ monai/metrics/fid.py /^scipy, _ = optional_import("scipy")$/;" v -_ monai/metrics/panoptic_quality.py /^linear_sum_assignment, _ = optional_import("scipy.optimize", name="linear_sum_assignment")$/;" v -_ monai/metrics/utils.py /^binary_erosion, _ = optional_import("scipy.ndimage.morphology", name="binary_erosion")$/;" v -_ monai/metrics/utils.py /^distance_transform_cdt, _ = optional_import("scipy.ndimage.morphology", name="distance_transform/;" v -_ monai/metrics/utils.py /^distance_transform_edt, _ = optional_import("scipy.ndimage.morphology", name="distance_transform/;" v -_ monai/metrics/wrapper.py /^BinaryPairwiseMeasures, _ = optional_import("MetricsReloaded.metrics.pairwise_measures", name="B/;" v -_ monai/metrics/wrapper.py /^MultiClassPairwiseMeasures, _ = optional_import($/;" v -_ monai/networks/blocks/backbone_fpn_utils.py /^torchvision_models, _ = optional_import("torchvision.models")$/;" v -_ monai/networks/blocks/fcn.py /^models, _ = optional_import("torchvision", name="models")$/;" v -_ monai/networks/blocks/patchembedding.py /^Rearrange, _ = optional_import("einops.layers.torch", name="Rearrange")$/;" v -_ monai/networks/blocks/selfattention.py /^Rearrange, _ = optional_import("einops.layers.torch", name="Rearrange")$/;" v -_ monai/networks/blocks/warp.py /^_C, _ = optional_import("monai._C")$/;" v -_ monai/networks/layers/filtering.py /^_C, _ = optional_import("monai._C")$/;" v -_ monai/networks/layers/simplelayers.py /^_C, _ = optional_import("monai._C")$/;" v -_ monai/networks/layers/simplelayers.py /^fft, _ = optional_import("torch.fft")$/;" v -_ monai/networks/layers/spatial_transforms.py /^_C, _ = optional_import("monai._C")$/;" v -_ monai/networks/nets/dints.py /^csr_matrix, _ = optional_import("scipy.sparse", name="csr_matrix")$/;" v -_ monai/networks/nets/dints.py /^dijkstra, _ = optional_import("scipy.sparse.csgraph", name="dijkstra")$/;" v -_ monai/networks/nets/milmodel.py /^models, _ = optional_import("torchvision.models")$/;" v -_ monai/networks/nets/netadapter.py /^create_feature_extractor, _ = optional_import("torchvision.models.feature_extraction", name="cre/;" v -_ monai/networks/nets/resnet.py /^EntryNotFoundError, _ = optional_import("huggingface_hub.utils._errors", name="EntryNotFoundErro/;" v -_ monai/networks/nets/resnet.py /^hf_hub_download, _ = optional_import("huggingface_hub", name="hf_hub_download")$/;" v -_ monai/networks/nets/swin_unetr.py /^rearrange, _ = optional_import("einops", name="rearrange")$/;" v -_ monai/networks/nets/torchvision_fc.py /^models, _ = optional_import("torchvision.models")$/;" v -_ monai/networks/utils.py /^onnx, _ = optional_import("onnx")$/;" v -_ monai/networks/utils.py /^onnxreference, _ = optional_import("onnx.reference")$/;" v -_ monai/networks/utils.py /^onnxruntime, _ = optional_import("onnxruntime")$/;" v -_ monai/transforms/intensity/array.py /^skimage, _ = optional_import("skimage", "0.19.0", min_version)$/;" v -_ monai/transforms/io/array.py /^Image, _ = optional_import("PIL.Image")$/;" v -_ monai/transforms/io/array.py /^nib, _ = optional_import("nibabel")$/;" v -_ monai/transforms/io/array.py /^nrrd, _ = optional_import("nrrd")$/;" v -_ monai/transforms/nvtx.py /^_nvtx, _ = optional_import("torch._C._nvtx", descriptor="NVTX is not installed. Are you sure you/;" v -_ monai/transforms/spatial/array.py /^cupy, _ = optional_import("cupy")$/;" v -_ monai/transforms/spatial/array.py /^cupy_ndi, _ = optional_import("cupyx.scipy.ndimage")$/;" v -_ monai/transforms/spatial/array.py /^np_ndi, _ = optional_import("scipy.ndimage")$/;" v -_ monai/transforms/spatial/dictionary.py /^nib, _ = optional_import("nibabel")$/;" v -_ monai/transforms/spatial/functional.py /^cupy, _ = optional_import("cupy")$/;" v -_ monai/transforms/spatial/functional.py /^cupy_ndi, _ = optional_import("cupyx.scipy.ndimage")$/;" v -_ monai/transforms/spatial/functional.py /^np_ndi, _ = optional_import("scipy.ndimage")$/;" v -_ monai/transforms/utility/array.py /^pil_image_fromarray, _ = optional_import("PIL.Image", name="fromarray")$/;" v -_ monai/transforms/utils.py /^cp_ndarray, _ = optional_import("cupy", name="ndarray")$/;" v -_ monai/utils/enums.py /^ EventEnum, _ = optional_import($/;" v -_ monai/utils/jupyter_utils.py /^ Engine, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "En/;" v -_ monai/utils/jupyter_utils.py /^ Events, _ = optional_import("ignite.engine", IgniteInfo.OPT_IMPORT_VERSION, min_version, "Ev/;" v -_ monai/utils/misc.py /^ SafeLoader, _ = optional_import("yaml", name="SafeLoader", as_type="base")$/;" v -_ monai/utils/nvtx.py /^_nvtx, _ = optional_import("torch._C._nvtx", descriptor="NVTX is not installed. Are you sure you/;" v -_ monai/utils/type_conversion.py /^cp_ndarray, _ = optional_import("cupy", name="ndarray")$/;" v -_ monai/visualize/img2tensorboard.py /^ Summary, _ = optional_import("tensorboard.compat.proto.summary_pb2", name="Summary")$/;" v -_ monai/visualize/img2tensorboard.py /^ SummaryWriter, _ = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ monai/visualize/img2tensorboard.py /^ SummaryX, _ = optional_import("tensorboardX.proto.summary_pb2", name="Summary")$/;" v -_ monai/visualize/img2tensorboard.py /^GifImage, _ = optional_import("PIL.GifImagePlugin", name="Image")$/;" v -_ monai/visualize/img2tensorboard.py /^PIL, _ = optional_import("PIL")$/;" v -_ monai/visualize/utils.py /^ cm, _ = optional_import("matplotlib", name="cm")$/;" v -_ monai/visualize/utils.py /^ plt, _ = optional_import("matplotlib", name="pyplot")$/;" v -_ tests/min_tests.py /^ _, err_mod = load_submodules(sys.modules["monai"], True)$/;" v -_ tests/test_anchor_box.py /^_, has_torchvision = optional_import("torchvision")$/;" v -_ tests/test_auto3dseg_ensemble.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ tests/test_auto3dseg_hpo.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ tests/test_bundle_download.py /^_, has_huggingface_hub = optional_import("huggingface_hub")$/;" v -_ tests/test_bundle_get_data.py /^requests, _ = optional_import("requests")$/;" v -_ tests/test_bundle_trt_export.py /^_, has_onnx = optional_import("onnx", descriptor="Onnx is not installed. Will not test the onnx /;" v -_ tests/test_bundle_trt_export.py /^_, has_tensorrt = optional_import($/;" v -_ tests/test_bundle_trt_export.py /^_, has_torchtrt = optional_import($/;" v -_ tests/test_cast_to_type.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_cast_to_typed.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_component_locator.py /^_, has_ignite = optional_import("ignite")$/;" v -_ tests/test_compute_fid_metric.py /^_, has_scipy = optional_import("scipy")$/;" v -_ tests/test_compute_ho_ver_maps.py /^_, has_skimage = optional_import("skimage", "0.19.0", min_version)$/;" v -_ tests/test_compute_ho_ver_maps_d.py /^_, has_skimage = optional_import("skimage", "0.19.0", min_version)$/;" v -_ tests/test_config_item.py /^_, has_tv = optional_import("torchvision", "0.8.0", min_version)$/;" v -_ tests/test_config_parser.py /^_, has_tv = optional_import("torchvision", "0.8.0", min_version)$/;" v -_ tests/test_config_parser.py /^_, has_yaml = optional_import("yaml")$/;" v -_ tests/test_convert_to_onnx.py /^onnx, _ = optional_import("onnx")$/;" v -_ tests/test_convert_to_trt.py /^_, has_tensorrt = optional_import($/;" v -_ tests/test_convert_to_trt.py /^_, has_torchtrt = optional_import($/;" v -_ tests/test_cucim_dict_transform.py /^_, has_cut = optional_import("cucim.core.operations.expose.transform")$/;" v -_ tests/test_cucim_dict_transform.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_cucim_transform.py /^_, has_cut = optional_import("cucim.core.operations.expose.transform")$/;" v -_ tests/test_cucim_transform.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_daf3d.py /^_, has_tv = optional_import("torchvision")$/;" v -_ tests/test_decollate.py /^_, has_nib = optional_import("nibabel")$/;" v -_ tests/test_deepedit_transforms.py /^measure, _ = optional_import("skimage.measure", "0.14.2", min_version)$/;" v -_ tests/test_distance_transform_edt.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_dynunet.py /^InstanceNorm3dNVFuser, _ = optional_import("apex.normalization", name="InstanceNorm3dNVFuser")$/;" v -_ tests/test_ensure_channel_first.py /^ITKReader, _ = optional_import("monai.data", name="ITKReader", as_type="decorator")$/;" v -_ tests/test_enum_bound_interp.py /^b, _ = optional_import("monai._C", name="BoundType")$/;" v -_ tests/test_enum_bound_interp.py /^p, _ = optional_import("monai._C", name="InterpolationType")$/;" v -_ tests/test_fpn_block.py /^_, has_torchvision = optional_import("torchvision")$/;" v -_ tests/test_gdsdataset.py /^_, has_cp = optional_import("cupy")$/;" v -_ tests/test_gdsdataset.py /^_, has_kvikio_numpy = optional_import("kvikio.numpy")$/;" v -_ tests/test_generate_instance_centroid.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_generate_instance_centroidd.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_generate_instance_contour.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_generate_instance_contourd.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_generate_watershed_markers.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v -_ tests/test_generate_watershed_markers.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_generate_watershed_markersd.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v -_ tests/test_generate_watershed_markersd.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_generate_watershed_mask.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v -_ tests/test_generate_watershed_maskd.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v -_ tests/test_gibbs_noise.py /^_, has_torch_fft = optional_import("torch.fft", name="fftshift")$/;" v -_ tests/test_gibbs_noised.py /^_, has_torch_fft = optional_import("torch.fft", name="fftshift")$/;" v -_ tests/test_handler_clearml_image.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ tests/test_handler_clearml_stats.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ tests/test_handler_ignite_metric.py /^ _, has_ignite = optional_import("ignite")$/;" v -_ tests/test_handler_logfile.py /^ _, has_ignite = optional_import("ignite")$/;" v -_ tests/test_handler_metric_logger.py /^ _, has_ignite = optional_import("ignite")$/;" v -_ tests/test_handler_metrics_reloaded.py /^_, has_metrics = optional_import("MetricsReloaded")$/;" v -_ tests/test_handler_mlflow.py /^_, has_dataset_tracking = optional_import("mlflow", "2.4.0")$/;" v -_ tests/test_handler_nvtx.py /^_, has_nvtx = optional_import("torch._C._nvtx", descriptor="NVTX is not installed. Are you sure /;" v -_ tests/test_handler_tb_image.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ tests/test_hausdorff_loss.py /^_, has_scipy = optional_import("scipy")$/;" v -_ tests/test_hovernet_instance_map_post_processing.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v -_ tests/test_hovernet_instance_map_post_processing.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_hovernet_instance_map_post_processingd.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v -_ tests/test_hovernet_instance_map_post_processingd.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_hovernet_nuclear_type_post_processing.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v -_ tests/test_hovernet_nuclear_type_post_processing.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_hovernet_nuclear_type_post_processingd.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v -_ tests/test_hovernet_nuclear_type_post_processingd.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_image_rw.py /^_, has_itk = optional_import("itk", allow_namespace_pkg=True)$/;" v -_ tests/test_integration_autorunner.py /^_, has_nni = optional_import("nni")$/;" v -_ tests/test_integration_autorunner.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ tests/test_integration_gpu_customization.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ tests/test_integration_nnunetv2_runner.py /^_, has_nnunet = optional_import("nnunetv2")$/;" v -_ tests/test_integration_nnunetv2_runner.py /^_, has_tb = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ tests/test_integration_segmentation_3d.py /^SummaryWriter, _ = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ tests/test_integration_workflows.py /^SummaryWriter, _ = optional_import("torch.utils.tensorboard", name="SummaryWriter")$/;" v -_ tests/test_inverse.py /^ _, has_nib = optional_import("nibabel")$/;" v -_ tests/test_inverse_array.py /^_, has_nib = optional_import("nibabel")$/;" v -_ tests/test_inverse_collation.py /^ _, has_nib = optional_import("nibabel")$/;" v -_ tests/test_itk_torch_bridge.py /^_, has_nib = optional_import("nibabel")$/;" v -_ tests/test_lesion_froc.py /^_, has_skimage = optional_import("skimage.measure")$/;" v -_ tests/test_lesion_froc.py /^_, has_sp = optional_import("scipy.ndimage")$/;" v -_ tests/test_load_image.py /^ITKReader, _ = optional_import("monai.data", name="ITKReader", as_type="decorator")$/;" v -_ tests/test_load_image.py /^itk_uc, _ = optional_import("itk", name="UC", allow_namespace_pkg=True)$/;" v -_ tests/test_lr_finder.py /^ _, has_pil = optional_import("PIL.Image")$/;" v -_ tests/test_make_nifti.py /^_, has_nib = optional_import("nibabel")$/;" v -_ tests/test_masked_patch_wsi_dataset.py /^_, has_codec = optional_import("imagecodecs")$/;" v -_ tests/test_masked_patch_wsi_dataset.py /^_, has_osl = optional_import("openslide")$/;" v -_ tests/test_masked_patch_wsi_dataset.py /^_, has_tiff = optional_import("tifffile", name="imwrite")$/;" v -_ tests/test_matshow3d.py /^compare_images, _ = optional_import("matplotlib.testing.compare", name="compare_images")$/;" v -_ tests/test_metrics_reloaded.py /^_, has_metrics = optional_import("MetricsReloaded")$/;" v -_ tests/test_milmodel.py /^models, _ = optional_import("torchvision.models")$/;" v -_ tests/test_nvtx_decorator.py /^_, has_cut = optional_import("cucim.core.operations.expose.transform")$/;" v -_ tests/test_nvtx_decorator.py /^_, has_nvtx = optional_import("torch._C._nvtx", descriptor="NVTX is not installed. Are you sure /;" v -_ tests/test_nvtx_decorator.py /^_, has_tvt = optional_import("torchvision.transforms")$/;" v -_ tests/test_nvtx_transform.py /^_, has_nvtx = optional_import("torch._C._nvtx", descriptor="NVTX is not installed. Are you sure /;" v -_ tests/test_patch_wsi_dataset.py /^_, has_codec = optional_import("imagecodecs")$/;" v -_ tests/test_perceptual_loss.py /^_, has_torchvision = optional_import("torchvision")$/;" v -_ tests/test_plot_2d_or_3d_image.py /^SummaryWriterX, _ = optional_import("tensorboardX", name="SummaryWriter")$/;" v -_ tests/test_profiling.py /^pd, _ = optional_import("pandas")$/;" v -_ tests/test_quicknat.py /^_, has_se = optional_import("squeeze_and_excitation")$/;" v -_ tests/test_rand_cucim_dict_transform.py /^_, has_cut = optional_import("cucim.core.operations.expose.transform")$/;" v -_ tests/test_rand_cucim_dict_transform.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_rand_cucim_transform.py /^_, has_cut = optional_import("cucim.core.operations.expose.transform")$/;" v -_ tests/test_rand_cucim_transform.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_rand_gibbs_noise.py /^_, has_torch_fft = optional_import("torch.fft", name="fftshift")$/;" v -_ tests/test_rand_gibbs_noised.py /^_, has_torch_fft = optional_import("torch.fft", name="fftshift")$/;" v -_ tests/test_reference_resolver.py /^_, has_tv = optional_import("torchvision", "0.8.0", min_version)$/;" v -_ tests/test_resample_to_match.py /^_, has_itk = optional_import("itk", allow_namespace_pkg=True)$/;" v -_ tests/test_retinanet.py /^_, has_torchvision = optional_import("torchvision")$/;" v -_ tests/test_retinanet_detector.py /^_, has_torchvision = optional_import("torchvision")$/;" v -_ tests/test_safe_dtype_range.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_save_image.py /^_, has_itk = optional_import("itk", allow_namespace_pkg=True)$/;" v -_ tests/test_save_imaged.py /^_, has_itk = optional_import("itk", allow_namespace_pkg=True)$/;" v -_ tests/test_signal_continuouswavelet.py /^_, has_pywt = optional_import("pywt")$/;" v -_ tests/test_signal_rand_add_squarepulse.py /^_, has_scipy = optional_import("scipy")$/;" v -_ tests/test_signal_rand_add_squarepulse_partial.py /^_, has_scipy = optional_import("scipy")$/;" v -_ tests/test_signal_rand_shift.py /^_, has_scipy = optional_import("scipy")$/;" v -_ tests/test_signal_remove_frequency.py /^_, has_scipy = optional_import("scipy")$/;" v -_ tests/test_signal_remove_frequency.py /^_, has_torchaudio = optional_import("torchaudio")$/;" v -_ tests/test_sliding_patch_wsi_dataset.py /^_, has_codec = optional_import("imagecodecs")$/;" v -_ tests/test_sliding_window_hovernet_inference.py /^_, has_tqdm = optional_import("tqdm")$/;" v -_ tests/test_sliding_window_inference.py /^_, has_tqdm = optional_import("tqdm")$/;" v -_ tests/test_testtimeaugmentation.py /^ _, has_nib = optional_import("nibabel")$/;" v -_ tests/test_threadcontainer.py /^ _, has_ignite = optional_import("ignite")$/;" v -_ tests/test_threadcontainer.py /^compare_images, _ = optional_import("matplotlib.testing.compare", name="compare_images")$/;" v -_ tests/test_to_cupy.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_to_cupyd.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_to_numpy.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_to_numpyd.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_to_pil.py /^ PILImageImage, _ = optional_import("PIL.Image", name="Image")$/;" v -_ tests/test_to_pild.py /^ PILImageImage, _ = optional_import("PIL.Image", name="Image")$/;" v -_ tests/test_to_tensor.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_to_tensord.py /^cp, _ = optional_import("cupy")$/;" v -_ tests/test_torchvision_fc_model.py /^_, has_tv = optional_import("torchvision", "0.12", min_version)$/;" v -_ tests/test_watershed.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v -_ tests/test_watershed.py /^_, has_skimage = optional_import("skimage", "0.19.3", min_version)$/;" v -_ tests/test_watershedd.py /^_, has_scipy = optional_import("scipy", "1.8.1", min_version)$/;" v -_ tests/test_watershedd.py /^_, 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__call__(self, data):$/;" m class:AddGuidanceFromPointsd -__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:AddGuidanceSignald -__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:AddInitialSeedPointd -__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:AddRandomGuidanced -__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:Fetch2DSliced -__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:FindDiscrepancyRegionsd -__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data):$/;" m class:SpatialCropForegroundd -__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data: Any) -> dict:$/;" m class:FindAllValidSlicesd typeref:typename:dict -__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data: Any) -> dict:$/;" m class:ResizeGuidanced typeref:typename:dict -__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data: Any) -> dict:$/;" m class:RestoreLabeld typeref:typename:dict -__call__ monai/apps/deepgrow/transforms.py /^ def __call__(self, data: Any) -> dict:$/;" m class:SpatialCropGuidanced typeref:typename:dict -__call__ monai/apps/detection/metrics/coco.py /^ def __call__(self, *args: Any, **kwargs: Any) -> tuple[dict[str, float], dict[str, np.ndarra/;" m class:COCOMetric typeref:typename:tuple[dict[str,float],dict[str,np.ndarray]|None] -__call__ monai/apps/detection/transforms/array.py /^ def __call__( # type: ignore$/;" m class:BoxToMask typeref:typename:NdarrayOrTensor -__call__ monai/apps/detection/transforms/array.py /^ def __call__( # type: ignore$/;" m class:ClipBoxToImage typeref:typename:tuple[NdarrayOrTensor,tuple|NdarrayOrTensor] -__call__ monai/apps/detection/transforms/array.py /^ def __call__( # type: ignore[override]$/;" m class:SpatialCropBox typeref:typename:tuple[NdarrayTensor,tuple|NdarrayOrTensor] -__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ConvertBoxMode typeref:typename:NdarrayOrTensor -__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ConvertBoxToStandardMode typeref:typename:NdarrayOrTensor -__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:StandardizeEmptyBox typeref:typename:NdarrayOrTensor -__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor, affine: NdarrayOrTensor | None) -> NdarrayOrTenso/;" m class:AffineBox typeref:typename:NdarrayOrTensor -__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor, spatial_size: Sequence[int] | int): # type: igno/;" m class:FlipBox -__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayOrTensor, src_spatial_size: Sequence[int] | int) -> Ndarray/;" m class:ResizeBox typeref:typename:NdarrayOrTensor -__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayTensor, spatial_size: Sequence[int] | int) -> NdarrayTensor/;" m class:RotateBox90 typeref:typename:NdarrayTensor -__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes: NdarrayTensor, src_spatial_size: Sequence[int] | int | None = None/;" m class:ZoomBox typeref:typename:NdarrayTensor -__call__ monai/apps/detection/transforms/array.py /^ def __call__(self, boxes_mask: NdarrayOrTensor) -> tuple[NdarrayOrTensor, NdarrayOrTensor]:$/;" m class:MaskToBox typeref:typename:tuple[NdarrayOrTensor,NdarrayOrTensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:AffineBoxToImageCoordinated typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:AffineBoxToWorldCoordinated typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:BoxToMaskd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ClipBoxToImaged typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ConvertBoxModed typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ConvertBoxToStandardModed typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:MaskToBoxd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:StandardizeEmptyBoxd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> Mapping[Hashable, torch.Tensor]/;" m class:RandRotateBox90d typeref:typename:Mapping[Hashable,torch.Tensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> Mapping[Hashable, torch.Tensor]/;" m class:RotateBox90d typeref:typename:Mapping[Hashable,torch.Tensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:FlipBoxd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:RandFlipBoxd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:RandZoomBoxd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:ZoomBoxd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/apps/detection/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> list[dict[Hashable, torch.Tenso/;" m class:RandCropBoxByPosNegLabeld typeref:typename:list[dict[Hashable,torch.Tensor]] -__call__ monai/apps/detection/utils/ATSS_matcher.py /^ def __call__($/;" m class:Matcher typeref:typename:tuple[torch.Tensor,torch.Tensor] -__call__ monai/apps/detection/utils/hard_negative_sampler.py /^ def __call__(self, target_labels: list[Tensor], concat_fg_probs: Tensor) -> tuple[list[Tenso/;" m class:HardNegativeSampler typeref:typename:tuple[list[Tensor],list[Tensor]] -__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:AddClickSignalsd -__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:AddLabelAsGuidanced -__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:AddPointGuidanceSignald -__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:ExtractPatchd -__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:FilterImaged -__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:FlattenLabeld -__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:PostFilterLabeld -__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:SetLabelClassd -__call__ monai/apps/nuclick/transforms.py /^ def __call__(self, data):$/;" m class:SplitLabeld -__call__ monai/apps/pathology/engines/utils.py /^ def __call__($/;" m class:PrepareBatchHoVerNet typeref:typename:tuple[torch.Tensor,dict[HoVerNetBranch,torch.Tensor]] -__call__ monai/apps/pathology/inferers/inferer.py /^ def __call__($/;" m class:SlidingWindowHoVerNetInferer typeref:typename:torch.Tensor|tuple[torch.Tensor,...]|dict[Any,torch.Tensor] -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__( # type: ignore$/;" m class:GenerateInstanceType typeref:typename:tuple[int,float] -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__( # type: ignore$/;" m class:HoVerNetInstanceMapPostProcessing typeref:typename:tuple[dict,NdarrayOrTensor] -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__( # type: ignore$/;" m class:HoVerNetNuclearTypePostProcessing typeref:typename:tuple[dict,NdarrayOrTensor|None] -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__($/;" m class:Watershed typeref:typename:NdarrayOrTensor -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, contours: list[np.ndarray]) -> np.ndarray:$/;" m class:GenerateSuccinctContour typeref:typename:np.ndarray -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, inst_mask: NdarrayOrTensor, offset: Sequence[int] | None = (0, 0)) -> np./;" m class:GenerateInstanceContour typeref:typename:np.ndarray|None -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, inst_mask: NdarrayOrTensor, offset: Sequence[int] | int = 0) -> NdarrayOr/;" m class:GenerateInstanceCentroid typeref:typename:NdarrayOrTensor -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, mask: NdarrayOrTensor, hover_map: NdarrayOrTensor) -> NdarrayOrTensor: #/;" m class:GenerateInstanceBorder typeref:typename:NdarrayOrTensor -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, mask: NdarrayOrTensor, instance_border: NdarrayOrTensor) -> NdarrayOrTens/;" m class:GenerateDistanceMap typeref:typename:NdarrayOrTensor -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, mask: NdarrayOrTensor, instance_border: NdarrayOrTensor) -> NdarrayOrTens/;" m class:GenerateWatershedMarkers typeref:typename:NdarrayOrTensor -__call__ monai/apps/pathology/transforms/post/array.py /^ def __call__(self, prob_map: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:GenerateWatershedMask typeref:typename:NdarrayOrTensor -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:GenerateInstanceCentroidd -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:GenerateInstanceContourd -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:GenerateInstanceTyped -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:GenerateSuccinctContourd -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:HoVerNetInstanceMapPostProcessingd -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:HoVerNetNuclearTypePostProcessingd -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GenerateDistanceMapd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GenerateInstanceBorderd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GenerateWatershedMarkersd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GenerateWatershedMaskd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/pathology/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:Watershedd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/pathology/transforms/stain/array.py /^ def __call__(self, image: np.ndarray) -> np.ndarray:$/;" m class:ExtractHEStains typeref:typename:np.ndarray -__call__ monai/apps/pathology/transforms/stain/array.py /^ def __call__(self, image: np.ndarray) -> np.ndarray:$/;" m class:NormalizeHEStains typeref:typename:np.ndarray -__call__ monai/apps/pathology/transforms/stain/dictionary.py /^ def __call__(self, data: Mapping[Hashable, np.ndarray]) -> dict[Hashable, np.ndarray]:$/;" m class:ExtractHEStainsd typeref:typename:dict[Hashable,np.ndarray] -__call__ monai/apps/pathology/transforms/stain/dictionary.py /^ def __call__(self, data: Mapping[Hashable, np.ndarray]) -> dict[Hashable, np.ndarray]:$/;" m class:NormalizeHEStainsd typeref:typename:dict[Hashable,np.ndarray] -__call__ monai/apps/pathology/utils.py /^ def __call__(self, probs_map: np.ndarray | torch.Tensor, resolution_level: int = 0) -> list[/;" m class:PathologyProbNMS typeref:typename:list[list] -__call__ monai/apps/reconstruction/transforms/array.py /^ def __call__(self, kspace: NdarrayOrTensor) -> Sequence[Tensor]:$/;" m class:EquispacedKspaceMask typeref:typename:Sequence[Tensor] -__call__ monai/apps/reconstruction/transforms/array.py /^ def __call__(self, kspace: NdarrayOrTensor) -> Sequence[Tensor]:$/;" m class:KspaceMask typeref:typename:Sequence[Tensor] -__call__ monai/apps/reconstruction/transforms/array.py /^ def __call__(self, kspace: NdarrayOrTensor) -> Sequence[Tensor]:$/;" m class:RandomKspaceMask typeref:typename:Sequence[Tensor] -__call__ monai/apps/reconstruction/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ReferenceBasedNormalizeIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/apps/reconstruction/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, Tensor]:$/;" m class:ExtractDataKeyFromMetaKeyd typeref:typename:dict[Hashable,Tensor] -__call__ monai/apps/reconstruction/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, Tensor]:$/;" m class:RandomKspaceMaskd typeref:typename:dict[Hashable,Tensor] -__call__ monai/apps/reconstruction/transforms/dictionary.py /^ def __call__(self, data: Mapping[Hashable, Tensor]) -> dict[Hashable, Tensor]:$/;" m class:ReferenceBasedSpatialCropd typeref:typename:dict[Hashable,Tensor] -__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data):$/;" m class:FilenameStats -__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data):$/;" m class:ImageStats -__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: Any) -> dict:$/;" m class:Analyzer typeref:typename:dict -__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: Mapping) -> dict:$/;" m class:FgImageStats typeref:typename:dict -__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: Mapping[Hashable, MetaTensor]) -> dict[Hashable, MetaTensor | dict]/;" m class:LabelStats typeref:typename:dict[Hashable,MetaTensor|dict] -__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: dict) -> dict:$/;" m class:ImageHistogram typeref:typename:dict -__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: list[dict]) -> dict:$/;" m class:FgImageStatsSumm typeref:typename:dict -__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: list[dict]) -> dict:$/;" m class:ImageHistogramSumm typeref:typename:dict -__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: list[dict]) -> dict:$/;" m class:ImageStatsSumm typeref:typename:dict -__call__ monai/auto3dseg/analyzer.py /^ def __call__(self, data: list[dict]) -> dict:$/;" m class:LabelStatsSumm typeref:typename:dict -__call__ monai/data/grid_dataset.py /^ def __call__($/;" m class:PatchIterd typeref:typename:Generator[tuple[Mapping[Hashable,NdarrayTensor],np.ndarray],None,None] -__call__ monai/data/grid_dataset.py /^ def __call__(self, array: NdarrayTensor) -> Generator[tuple[NdarrayTensor, np.ndarray], None/;" m class:PatchIter typeref:typename:Generator[tuple[NdarrayTensor,np.ndarray],None,None] -__call__ monai/data/test_time_augmentation.py /^ def __call__($/;" m class:TestTimeAugmentation typeref:typename:tuple[NdarrayOrTensor,NdarrayOrTensor,NdarrayOrTensor,float]|NdarrayOrTensor -__call__ monai/data/ultrasound_confidence_map.py /^ def __call__(self, data: NDArray, sink_mask: NDArray | None = None) -> NDArray:$/;" m class:UltrasoundConfidenceMap typeref:typename:NDArray -__call__ monai/engines/utils.py /^ def __call__($/;" m class:PrepareBatch typeref:typename:Any -__call__ monai/engines/utils.py /^ def __call__($/;" m class:PrepareBatchDefault typeref:typename:tuple[torch.Tensor,torch.Tensor|None]|torch.Tensor -__call__ monai/engines/utils.py /^ def __call__($/;" m class:PrepareBatchExtraInput typeref:typename:tuple[torch.Tensor,torch.Tensor,tuple,dict] -__call__ monai/fl/utils/filters.py /^ def __call__(self, data: ExchangeObject, extra: dict | None = None) -> ExchangeObject:$/;" m class:Filter typeref:typename:ExchangeObject -__call__ monai/fl/utils/filters.py /^ def __call__(self, data: ExchangeObject, extra: dict | None = None) -> ExchangeObject:$/;" m class:SummaryFilter typeref:typename:ExchangeObject -__call__ monai/handlers/checkpoint_loader.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:CheckpointLoader typeref:typename:None -__call__ monai/handlers/checkpoint_saver.py /^ def __call__(self, checkpoint: Mapping, filename: str, metadata: Mapping | None = No/;" m class:CheckpointSaver.__init__._DiskSaver typeref:typename:None -__call__ monai/handlers/classification_saver.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:ClassificationSaver typeref:typename:None -__call__ monai/handlers/decollate_batch.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:DecollateBatch typeref:typename:None -__call__ monai/handlers/earlystop_handler.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:EarlyStopHandler typeref:typename:None -__call__ monai/handlers/garbage_collector.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:GarbageCollector typeref:typename:None -__call__ monai/handlers/lr_schedule_handler.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:LrScheduleHandler typeref:typename:None -__call__ monai/handlers/metric_logger.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:MetricLogger typeref:typename:None -__call__ monai/handlers/metrics_saver.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:MetricsSaver typeref:typename:None -__call__ monai/handlers/parameter_scheduler.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:ParamSchedulerHandler typeref:typename:None -__call__ monai/handlers/postprocessing.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:PostProcessing typeref:typename:None -__call__ monai/handlers/probability_maps.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:ProbMapProducer typeref:typename:None -__call__ monai/handlers/tensorboard_handlers.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:TensorBoardImageHandler typeref:typename:None -__call__ monai/handlers/validation_handler.py /^ def __call__(self, engine: Engine) -> None:$/;" m class:ValidationHandler typeref:typename:None -__call__ monai/inferers/inferer.py /^ def __call__($/;" m class:PatchInferer typeref:typename:Any -__call__ monai/inferers/inferer.py /^ def __call__($/;" m class:SimpleInferer typeref:typename:torch.Tensor -__call__ monai/inferers/inferer.py /^ def __call__($/;" m class:SliceInferer typeref:typename:torch.Tensor|tuple[torch.Tensor,...]|dict[Any,torch.Tensor] -__call__ monai/inferers/inferer.py /^ def __call__($/;" m class:SlidingWindowInferer typeref:typename:torch.Tensor|tuple[torch.Tensor,...]|dict[Any,torch.Tensor] -__call__ monai/inferers/inferer.py /^ def __call__($/;" m class:SlidingWindowInfererAdapt typeref:typename:torch.Tensor|tuple[torch.Tensor,...]|dict[Any,torch.Tensor] -__call__ monai/inferers/inferer.py /^ def __call__(self, inputs: torch.Tensor, network: Callable, *args: Any, **kwargs: Any) -> An/;" m class:Inferer typeref:typename:Any -__call__ monai/inferers/inferer.py /^ def __call__(self, inputs: torch.Tensor, network: nn.Module, *args: Any, **kwargs: Any): # /;" m class:SaliencyInferer -__call__ monai/inferers/splitter.py /^ def __call__(self, inputs: Any) -> Iterable[tuple[torch.Tensor, Sequence[int]]]:$/;" m class:SlidingWindowSplitter typeref:typename:Iterable[tuple[torch.Tensor,Sequence[int]]] -__call__ monai/inferers/splitter.py /^ def __call__(self, inputs: Any) -> Iterable[tuple[torch.Tensor, Sequence[int]]]:$/;" m class:Splitter typeref:typename:Iterable[tuple[torch.Tensor,Sequence[int]]] -__call__ monai/inferers/splitter.py /^ def __call__(self, inputs: PathLike | Sequence[PathLike]) -> Iterable[tuple[torch.Tensor, Se/;" m class:WSISlidingWindowSplitter typeref:typename:Iterable[tuple[torch.Tensor,Sequence[int]]] -__call__ monai/metrics/active_learning_metrics.py /^ def __call__(self, y_pred: Any) -> Any:$/;" m class:VarianceMetric typeref:typename:Any -__call__ monai/metrics/active_learning_metrics.py /^ def __call__(self, y_pred: Any, y: Any) -> torch.Tensor | None:$/;" m class:LabelQualityScore typeref:typename:torch.Tensor|None -__call__ monai/metrics/fid.py /^ def __call__(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor:$/;" m class:FIDMetric typeref:typename:torch.Tensor -__call__ monai/metrics/meandice.py /^ def __call__(self, y_pred: torch.Tensor, y: torch.Tensor) -> torch.Tensor | tuple[torch.Tens/;" m class:DiceHelper typeref:typename:torch.Tensor|tuple[torch.Tensor,torch.Tensor] -__call__ monai/metrics/metric.py /^ def __call__($/;" m class:CumulativeIterationMetric typeref:typename:torch.Tensor|Sequence[torch.Tensor|Sequence[torch.Tensor]] -__call__ monai/metrics/metric.py /^ def __call__($/;" m class:IterationMetric typeref:typename:torch.Tensor|Sequence[torch.Tensor|Sequence[torch.Tensor]] -__call__ monai/metrics/metric.py /^ def __call__(self, *args: Any, **kwargs: Any) -> Any:$/;" m class:Metric typeref:typename:Any -__call__ monai/metrics/mmd.py /^ def __call__(self, y: torch.Tensor, y_pred: torch.Tensor) -> torch.Tensor:$/;" m class:MMDMetric typeref:typename:torch.Tensor -__call__ monai/transforms/compose.py /^ def __call__(self, data, start=0, end=None, threading=False, lazy: bool | None = None):$/;" m class:OneOf -__call__ monai/transforms/compose.py /^ def __call__(self, data, start=0, end=None, threading=False, lazy: bool | None = None):$/;" m class:SomeOf -__call__ monai/transforms/compose.py /^ def __call__(self, input_, start=0, end=None, threading=False, lazy: bool | None = None):$/;" m class:Compose -__call__ monai/transforms/compose.py /^ def __call__(self, input_, start=0, end=None, threading=False, lazy: bool | None = None):$/;" m class:RandomOrder -__call__ monai/transforms/croppad/array.py /^ def __call__( # type: ignore[override]$/;" m class:Crop typeref:typename:torch.Tensor -__call__ monai/transforms/croppad/array.py /^ def __call__( # type: ignore[override]$/;" m class:CropForeground typeref:typename:torch.Tensor -__call__ monai/transforms/croppad/array.py /^ def __call__( # type: ignore[override]$/;" m class:Pad typeref:typename:torch.Tensor -__call__ monai/transforms/croppad/array.py /^ def __call__( # type: ignore[override]$/;" m class:ResizeWithPadOrCrop typeref:typename:torch.Tensor -__call__ monai/transforms/croppad/array.py /^ def __call__($/;" m class:RandCropByLabelClasses typeref:typename:list[torch.Tensor] -__call__ monai/transforms/croppad/array.py /^ def __call__($/;" m class:RandCropByPosNegLabel typeref:typename:list[torch.Tensor] -__call__ monai/transforms/croppad/array.py /^ def __call__($/;" m class:RandWeightedCrop typeref:typename:list[torch.Tensor] -__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: NdarrayOrTensor) -> np.ndarray:$/;" m class:BoundingRect typeref:typename:np.ndarray -__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> list[torch.Tensor]:$/;" m class:RandSpatialCropSamples typeref:typename:list[torch.Tensor] -__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor: # type: ig/;" m class:CenterScaleCrop typeref:typename:torch.Tensor -__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor: # type: ig/;" m class:CenterSpatialCrop typeref:typename:torch.Tensor -__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor: # type: ig/;" m class:SpatialCrop typeref:typename:torch.Tensor -__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> t/;" m class:RandScaleCrop typeref:typename:torch.Tensor -__call__ monai/transforms/croppad/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> t/;" m class:RandSpatialCrop typeref:typename:torch.Tensor -__call__ monai/transforms/croppad/batch.py /^ def __call__(self, batch: Any):$/;" m class:PadListDataCollate -__call__ monai/transforms/croppad/dictionary.py /^ def __call__($/;" m class:RandCropByPosNegLabeld typeref:typename:list[dict[Hashable,torch.Tensor]] -__call__ monai/transforms/croppad/dictionary.py /^ def __call__($/;" m class:RandSpatialCropSamplesd typeref:typename:list[dict[Hashable,torch.Tensor]] -__call__ monai/transforms/croppad/dictionary.py /^ def __call__($/;" m class:RandWeightedCropd typeref:typename:list[dict[Hashable,torch.Tensor]] -__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, Any], lazy: bool | None = None) -> list[dict[Hash/;" m class:RandCropByLabelClassesd typeref:typename:list[dict[Hashable,torch.Tensor]] -__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:BoundingRectd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:CropForegroundd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Cropd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Padd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/croppad/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:RandCropd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/intensity/array.py /^ def __call__(self, image: NdarrayOrTensor):$/;" m class:ForegroundMask -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:GibbsNoise typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:KSpaceSpikeNoise typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:NormalizeIntensity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SavitzkyGolaySmooth typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ScaleIntensity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ScaleIntensityRange typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ScaleIntensityRangePercentiles typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:StdShiftIntensity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ThresholdIntensity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor):$/;" m class:DetectEnvelope -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, factor: float | None = None, randomize: bool = True/;" m class:RandShiftIntensity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, factor=None) -> NdarrayOrTensor:$/;" m class:ScaleIntensityFixedMean typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, gamma=None) -> NdarrayOrTensor:$/;" m class:AdjustContrast typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, mask: NdarrayOrTensor | None = None) -> NdarrayOrTe/;" m class:HistogramNormalize typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, mask: NdarrayOrTensor | None = None) -> NdarrayOrTe/;" m class:UltrasoundConfidenceMapTransform typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, mask_data: NdarrayOrTensor | None = None) -> Ndarra/;" m class:MaskIntensity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, mean: float | None = None, randomize: bool = True) /;" m class:RandGaussianNoise typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, offset: float | None = None) -> NdarrayOrTensor:$/;" m class:ShiftIntensity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandAdjustContrast typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandBiasField typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandCoarseTransform typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandGaussianSharpen typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandGaussianSmooth typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandHistogramShift typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandRicianNoise typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandScaleIntensity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandScaleIntensityFixedMean typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandStdShiftIntensity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True):$/;" m class:RandGibbsNoise -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True):$/;" m class:RandKSpaceSpikeNoise -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayTensor) -> NdarrayTensor:$/;" m class:GaussianSharpen typeref:typename:NdarrayTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayTensor) -> NdarrayTensor:$/;" m class:GaussianSmooth typeref:typename:NdarrayTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: NdarrayTensor) -> NdarrayTensor:$/;" m class:MedianSmooth typeref:typename:NdarrayTensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: torch.Tensor) -> torch.Tensor:$/;" m class:IntensityRemap typeref:typename:torch.Tensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, img: torch.Tensor) -> torch.Tensor:$/;" m class:RandIntensityRemap typeref:typename:torch.Tensor -__call__ monai/transforms/intensity/array.py /^ def __call__(self, mask: NdarrayOrTensor):$/;" m class:ComputeHoVerMaps -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data) -> dict[Hashable, NdarrayOrTensor]:$/;" m class:RandShiftIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data) -> dict[Hashable, NdarrayOrTensor]:$/;" m class:ShiftIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:AdjustContrastd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ComputeHoVerMapsd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ForegroundMaskd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GaussianSharpend typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GaussianSmoothd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GibbsNoised typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:HistogramNormalized typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:KSpaceSpikeNoised typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:MaskIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:MedianSmoothd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:NormalizeIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandAdjustContrastd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandBiasFieldd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandCoarseDropoutd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandCoarseShuffled typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandGaussianNoised typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandGaussianSmoothd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandRicianNoised typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandScaleIntensityFixedMeand typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandScaleIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandStdShiftIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:SavitzkyGolaySmoothd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ScaleIntensityRangePercentilesd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ScaleIntensityRanged typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ScaleIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:StdShiftIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ThresholdIntensityd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: dict[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTensor]/;" m class:RandGaussianSharpend typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: dict[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTensor]/;" m class:RandGibbsNoised typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: dict[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTensor]/;" m class:RandHistogramShiftd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/intensity/dictionary.py /^ def __call__(self, data: dict[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTensor]/;" m class:RandKSpaceSpikeNoised typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/inverse_batch_transform.py /^ def __call__(self, data: dict | list):$/;" m class:Decollated -__call__ monai/transforms/inverse_batch_transform.py /^ def __call__(self, data: dict[str, Any]) -> Any:$/;" m class:BatchInverseTransform typeref:typename:Any -__call__ monai/transforms/io/array.py /^ def __call__($/;" m class:SaveImage -__call__ monai/transforms/io/array.py /^ def __call__(self, filename: Sequence[PathLike] | PathLike, reader: ImageReader | None = Non/;" m class:LoadImage -__call__ monai/transforms/io/dictionary.py /^ def __call__(self, data):$/;" m class:SaveImaged -__call__ monai/transforms/io/dictionary.py /^ def __call__(self, data, reader: ImageReader | None = None):$/;" m class:LoadImaged -__call__ monai/transforms/lazy/array.py /^ def __call__(self, data):$/;" m class:ApplyPending -__call__ monai/transforms/lazy/dictionary.py /^ def __call__(self, data):$/;" m class:ApplyPendingd -__call__ monai/transforms/meta_utility/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:FromMetaTensord typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/meta_utility/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:ToMetaTensord typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/nvtx.py /^ def __call__(self, data):$/;" m class:Mark -__call__ monai/transforms/nvtx.py /^ def __call__(self, data):$/;" m class:RangePop -__call__ monai/transforms/nvtx.py /^ def __call__(self, data):$/;" m class:RangePush -__call__ monai/transforms/post/array.py /^ def __call__($/;" m class:Activations typeref:typename:NdarrayOrTensor -__call__ monai/transforms/post/array.py /^ def __call__($/;" m class:AsDiscrete typeref:typename:NdarrayOrTensor -__call__ monai/transforms/post/array.py /^ def __call__(self, data):$/;" m class:Invert -__call__ monai/transforms/post/array.py /^ def __call__(self, image: NdarrayOrTensor) -> torch.Tensor:$/;" m class:SobelGradients typeref:typename:torch.Tensor -__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:DistanceTransformEDT typeref:typename:NdarrayOrTensor -__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:FillHoles typeref:typename:NdarrayOrTensor -__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:KeepLargestConnectedComponent typeref:typename:NdarrayOrTensor -__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:LabelFilter typeref:typename:NdarrayOrTensor -__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:LabelToContour typeref:typename:NdarrayOrTensor -__call__ monai/transforms/post/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:RemoveSmallObjects typeref:typename:NdarrayOrTensor -__call__ monai/transforms/post/array.py /^ def __call__(self, img: Sequence[NdarrayOrTensor] | NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:MeanEnsemble typeref:typename:NdarrayOrTensor -__call__ monai/transforms/post/array.py /^ def __call__(self, img: Sequence[NdarrayOrTensor] | NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:VoteEnsemble typeref:typename:NdarrayOrTensor -__call__ monai/transforms/post/array.py /^ def __call__(self, prob_map: NdarrayOrTensor):$/;" m class:ProbNMS -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data):$/;" m class:SaveClassificationd -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, Any]) -> dict[Hashable, Any]:$/;" m class:Invertd typeref:typename:dict[Hashable,Any] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrT/;" m class:DistanceTransformEDTd typeref:typename:Mapping[Hashable,NdarrayOrTensor] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:Activationsd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:AsDiscreted typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:Ensembled typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:FillHolesd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:KeepLargestConnectedComponentd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:LabelFilterd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:LabelToContourd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RemoveSmallObjectsd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:SobelGradientsd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/post/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]):$/;" m class:ProbNMSd -__call__ monai/transforms/regularization/array.py /^ def __call__(self, data: torch.Tensor):$/;" m class:CutOut -__call__ monai/transforms/regularization/array.py /^ def __call__(self, data: torch.Tensor, labels: torch.Tensor | None = None):$/;" m class:CutMix -__call__ monai/transforms/regularization/array.py /^ def __call__(self, data: torch.Tensor, labels: torch.Tensor | None = None):$/;" m class:MixUp -__call__ monai/transforms/regularization/dictionary.py /^ def __call__(self, data):$/;" m class:CutMixd -__call__ monai/transforms/regularization/dictionary.py /^ def __call__(self, data):$/;" m class:CutOutd -__call__ monai/transforms/regularization/dictionary.py /^ def __call__(self, data):$/;" m class:MixUpd -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalFillEmpty typeref:typename:NdarrayOrTensor -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandAddGaussianNoise typeref:typename:NdarrayOrTensor -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandAddSine typeref:typename:NdarrayOrTensor -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandAddSinePartial typeref:typename:NdarrayOrTensor -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandAddSquarePulse typeref:typename:NdarrayOrTensor -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandAddSquarePulsePartial typeref:typename:NdarrayOrTensor -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandDrop typeref:typename:NdarrayOrTensor -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandScale typeref:typename:NdarrayOrTensor -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SignalRandShift typeref:typename:NdarrayOrTensor -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: np.ndarray) -> Any:$/;" m class:SignalContinuousWavelet typeref:typename:Any -__call__ monai/transforms/signal/array.py /^ def __call__(self, signal: np.ndarray) -> Any:$/;" m class:SignalRemoveFrequency typeref:typename:Any -__call__ monai/transforms/signal/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrT/;" m class:SignalFillEmptyd typeref:typename:Mapping[Hashable,NdarrayOrTensor] -__call__ monai/transforms/smooth_field/array.py /^ def __call__($/;" m class:RandSmoothDeform typeref:typename:NdarrayOrTensor -__call__ monai/transforms/smooth_field/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandSmoothFieldAdjustContrast typeref:typename:NdarrayOrTensor -__call__ monai/transforms/smooth_field/array.py /^ def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor:$/;" m class:RandSmoothFieldAdjustIntensity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/smooth_field/array.py /^ def __call__(self, randomize=False) -> torch.Tensor:$/;" m class:SmoothField typeref:typename:torch.Tensor -__call__ monai/transforms/smooth_field/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrT/;" m class:RandSmoothDeformd typeref:typename:Mapping[Hashable,NdarrayOrTensor] -__call__ monai/transforms/smooth_field/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrT/;" m class:RandSmoothFieldAdjustContrastd typeref:typename:Mapping[Hashable,NdarrayOrTensor] -__call__ monai/transforms/smooth_field/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrT/;" m class:RandSmoothFieldAdjustIntensityd typeref:typename:Mapping[Hashable,NdarrayOrTensor] -__call__ monai/transforms/spatial/array.py /^ def __call__( # type: ignore$/;" m class:ResampleToMatch typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Affine typeref:typename:torch.Tensor|tuple[torch.Tensor,NdarrayOrTensor] -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:AffineGrid typeref:typename:tuple[torch.Tensor|None,torch.Tensor] -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:GridDistortion typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:GridSplit typeref:typename:list[NdarrayOrTensor] -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Rand2DElastic typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Rand3DElastic typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:RandAffine typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:RandAffineGrid typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:RandGridDistortion typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:RandRotate -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:RandZoom typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Resample typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Resize typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Rotate typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Spacing typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:SpatialResample typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__($/;" m class:Zoom typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__(self, array: NdarrayOrTensor) -> MetaTensor:$/;" m class:GridPatch typeref:typename:MetaTensor -__call__ monai/transforms/spatial/array.py /^ def __call__(self, array: NdarrayOrTensor, randomize: bool = True):$/;" m class:RandGridPatch -__call__ monai/transforms/spatial/array.py /^ def __call__(self, data_array: torch.Tensor, lazy: bool | None = None) -> torch.Tensor:$/;" m class:Orientation typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor:$/;" m class:Flip typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor:$/;" m class:Rotate90 typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True) -> torch.Tensor:$/;" m class:RandSimulateLowResolution typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> t/;" m class:RandAxisFlip typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> t/;" m class:RandFlip typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> t/;" m class:RandRotate90 typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/array.py /^ def __call__(self, spatial_size: Sequence[int]) -> torch.Tensor:$/;" m class:RandDeformGrid typeref:typename:torch.Tensor -__call__ monai/transforms/spatial/dictionary.py /^ def __call__($/;" m class:RandAffined typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__($/;" m class:RandRotate90d typeref:typename:Mapping[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:GridPatchd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:Rand2DElasticd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandGridPatchd typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> dict[Hashable, NdarrayOrTens/;" m class:RandSimulateLowResolutiond typeref:typename:dict[Hashable,NdarrayOrTensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> list[dict[Hashable, NdarrayO/;" m class:GridSplitd typeref:typename:list[dict[Hashable,NdarrayOrTensor]] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:GridDistortiond typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:Rand3DElasticd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:$/;" m class:RandGridDistortiond typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Affined typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Flipd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Orientationd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:RandAxisFlipd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:RandFlipd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:RandRotated typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:RandZoomd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:ResampleToMatchd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Resized typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Rotate90d typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Rotated typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Spacingd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:SpatialResampled typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/spatial/dictionary.py /^ def __call__(self, data: Mapping[Hashable, torch.Tensor], lazy: bool | None = None) -> dict[/;" m class:Zoomd typeref:typename:dict[Hashable,torch.Tensor] -__call__ monai/transforms/transform.py /^ def __call__(self, data):$/;" m class:MapTransform -__call__ monai/transforms/transform.py /^ def __call__(self, data: Any):$/;" m class:Transform -__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:AddExtremePointsChannel typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:ClassesToIndices typeref:typename:list[NdarrayOrTensor] -__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:DataStats typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:FgBgToIndices typeref:typename:tuple[NdarrayOrTensor,NdarrayOrTensor] -__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:ImageFilter typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:IntensityStats typeref:typename:tuple[NdarrayOrTensor,dict] -__call__ monai/transforms/utility/array.py /^ def __call__($/;" m class:LabelToMask typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, data):$/;" m class:CuCIM -__call__ monai/transforms/utility/array.py /^ def __call__(self, data: Any) -> Any:$/;" m class:RandIdentity typeref:typename:Any -__call__ monai/transforms/utility/array.py /^ def __call__(self, data: NdarrayOrTensor):$/;" m class:ToCupy -__call__ monai/transforms/utility/array.py /^ def __call__(self, data: NdarrayOrTensor, dtype: DtypeLike | torch.dtype = None):$/;" m class:EnsureType -__call__ monai/transforms/utility/array.py /^ def __call__(self, img):$/;" m class:ToPIL -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:AddCoordinateChannels typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:AsChannelLast typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:ConvertToMultiChannelBasedOnBratsClasses typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:Identity typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:RemoveRepeatedChannel typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:RepeatChannel typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:SqueezeDim typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor) -> NdarrayOrTensor:$/;" m class:Transpose typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor):$/;" m class:MapLabelValue -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor):$/;" m class:ToNumpy -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor):$/;" m class:ToTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor):$/;" m class:TorchVision -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor, delay_time: float | None = None) -> NdarrayOrTensor/;" m class:SimulateDelay typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor, dtype: DtypeLike | torch.dtype = None) -> NdarrayOr/;" m class:CastToType typeref:typename:NdarrayOrTensor -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor, func: Callable | None = None):$/;" m class:Lambda -__call__ monai/transforms/utility/array.py /^ def __call__(self, img: NdarrayOrTensor, 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.converttomultichannelbasedonbratsclasses method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.converttomultichannelbasedonbratsclassesd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.copyitemsd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.crop method) 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.histogramnormalize method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.histogramnormalized method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.identity method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.identityd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.imagefilter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.imagefilterd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.intensitystats method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__call__() (monai.transforms.intensitystatsd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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-__getattr__ docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -__getattr__ monai/bundle/config_parser.py /^ def __getattr__(self, id):$/;" m class:ConfigParser -__getattr__ monai/bundle/workflows.py /^ def __getattr__(self, name):$/;" m class:BundleWorkflow -__getattr__ monai/networks/layers/factories.py /^ def __getattr__(self, key):$/;" m class:LayerFactory -__getattr__ monai/utils/component_store.py /^ def __getattr__(self, name: str) -> Any:$/;" m class:ComponentStore typeref:typename:Any -__getattr__ monai/utils/module.py /^ def __getattr__(self, name):$/;" m class:optional_import._LazyRaise -__getattr__() (monai.bundle.configparser method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__getitem__ 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m class:CrossValidation typeref:typename:None -__init__ monai/apps/deepedit/interaction.py /^ def __init__($/;" m class:Interaction typeref:typename:None -__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:AddGuidanceFromPointsDeepEditd -__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:AddGuidanceSignalDeepEditd -__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:AddInitialSeedPointDeepEditd -__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:AddInitialSeedPointMissingLabelsd -__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:AddRandomGuidanceDeepEditd -__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:DiscardAddGuidanced -__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:FindDiscrepancyRegionsDeepEditd -__init__ monai/apps/deepedit/transforms.py /^ def __init__($/;" m class:NormalizeLabelsInDatasetd -__init__ 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monai/apps/deepgrow/transforms.py /^ def __init__(self, label: str = "label", sids: str = "sids"):$/;" m class:FindAllValidSlicesd -__init__ monai/apps/detection/metrics/coco.py /^ def __init__($/;" m class:COCOMetric -__init__ monai/apps/detection/networks/retinanet_detector.py /^ def __init__($/;" m class:RetinaNetDetector -__init__ monai/apps/detection/networks/retinanet_network.py /^ def __init__($/;" m class:RetinaNet -__init__ monai/apps/detection/networks/retinanet_network.py /^ def __init__($/;" m class:RetinaNetClassificationHead -__init__ monai/apps/detection/networks/retinanet_network.py /^ def __init__(self, in_channels: int, num_anchors: int, spatial_dims: int):$/;" m class:RetinaNetRegressionHead -__init__ monai/apps/detection/transforms/array.py /^ def __init__($/;" m class:ConvertBoxMode typeref:typename:None -__init__ monai/apps/detection/transforms/array.py /^ def __init__($/;" m class:MaskToBox typeref:typename:None -__init__ monai/apps/detection/transforms/array.py /^ def __init__($/;" m class:SpatialCropBox typeref:typename:None -__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, bg_label: int = -1, ellipse_mask: bool = False) -> None:$/;" m class:BoxToMask typeref:typename:None -__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, mode: str | BoxMode | type[BoxMode] | None = None) -> None:$/;" m class:ConvertBoxToStandardMode typeref:typename:None -__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, remove_empty: bool = False) -> None:$/;" m class:ClipBoxToImage typeref:typename:None -__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, spatial_axis: Sequence[int] | int | None = None) -> None:$/;" m class:FlipBox typeref:typename:None -__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, spatial_dims: int) -> None:$/;" m class:StandardizeEmptyBox typeref:typename:None -__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, spatial_size: Sequence[int] | int, size_mode: str = "all", **kwargs: Any)/;" m class:ResizeBox typeref:typename:None -__init__ monai/apps/detection/transforms/array.py /^ def __init__(self, zoom: Sequence[float] | float, keep_size: bool = False, **kwargs: Any) ->/;" m class:ZoomBox typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:AffineBoxToImageCoordinated typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:AffineBoxToWorldCoordinated typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:BoxToMaskd typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:ClipBoxToImaged typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:ConvertBoxModed typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:ConvertBoxToStandardModed typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:FlipBoxd typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:MaskToBoxd typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:RandCropBoxByPosNegLabeld typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:RandFlipBoxd typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:RandRotateBox90d typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:RandZoomBoxd typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:RotateBox90d typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__($/;" m class:ZoomBoxd typeref:typename:None -__init__ monai/apps/detection/transforms/dictionary.py /^ def __init__(self, box_keys: KeysCollection, box_ref_image_keys: str, allow_missing_keys: bo/;" m class:StandardizeEmptyBoxd typeref:typename:None -__init__ monai/apps/detection/utils/ATSS_matcher.py /^ def __init__($/;" m class:ATSSMatcher -__init__ monai/apps/detection/utils/ATSS_matcher.py /^ def __init__(self, similarity_fn: Callable[[Tensor, Tensor], Tensor] = box_iou): # type: ig/;" m class:Matcher -__init__ monai/apps/detection/utils/anchor_utils.py /^ def __init__($/;" m class:AnchorGenerator typeref:typename:None -__init__ monai/apps/detection/utils/anchor_utils.py /^ def __init__($/;" m class:AnchorGeneratorWithAnchorShape typeref:typename:None -__init__ monai/apps/detection/utils/box_coder.py /^ def __init__(self, weights: Sequence[float], boxes_xform_clip: float | None = None) -> None:$/;" m class:BoxCoder typeref:typename:None -__init__ monai/apps/detection/utils/box_selector.py /^ def __init__($/;" m class:BoxSelector -__init__ monai/apps/detection/utils/hard_negative_sampler.py /^ def __init__($/;" m class:HardNegativeSampler typeref:typename:None -__init__ monai/apps/detection/utils/hard_negative_sampler.py /^ def __init__(self, pool_size: float = 10) -> None:$/;" m class:HardNegativeSamplerBase typeref:typename:None -__init__ monai/apps/nnunet/nnunetv2_runner.py /^ def __init__($/;" m class:nnUNetV2Runner typeref:typename:None -__init__ monai/apps/nuclick/transforms.py /^ def __init__($/;" m class:AddClickSignalsd -__init__ monai/apps/nuclick/transforms.py /^ def __init__($/;" m class:AddPointGuidanceSignald -__init__ monai/apps/nuclick/transforms.py /^ def __init__($/;" m class:ExtractPatchd -__init__ monai/apps/nuclick/transforms.py /^ def __init__($/;" m class:PostFilterLabeld -__init__ monai/apps/nuclick/transforms.py /^ def __init__($/;" m class:SplitLabeld -__init__ monai/apps/nuclick/transforms.py /^ def __init__(self, keys: KeysCollection, connectivity: int = 1, allow_missing_keys: bool = F/;" m class:FlattenLabeld -__init__ monai/apps/nuclick/transforms.py /^ def __init__(self, keys: KeysCollection, min_size: int = 500, allow_missing_keys: bool = Fal/;" m class:FilterImaged -__init__ monai/apps/nuclick/transforms.py /^ def __init__(self, keys: KeysCollection, offset: int = -1) -> None:$/;" m class:SetLabelClassd typeref:typename:None -__init__ monai/apps/nuclick/transforms.py /^ def __init__(self, keys: KeysCollection, source: str = "label") -> None:$/;" m class:AddLabelAsGuidanced typeref:typename:None -__init__ monai/apps/pathology/engines/utils.py /^ def __init__(self, extra_keys: Sequence[str]) -> None:$/;" m class:PrepareBatchHoVerNet typeref:typename:None -__init__ monai/apps/pathology/inferers/inferer.py /^ def __init__($/;" m class:SlidingWindowHoVerNetInferer typeref:typename:None -__init__ monai/apps/pathology/losses/hovernet_loss.py /^ def __init__($/;" m class:HoVerNetLoss typeref:typename:None -__init__ monai/apps/pathology/metrics/lesion_froc.py /^ def __init__($/;" m class:LesionFROC typeref:typename:None -__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__($/;" m class:GenerateWatershedMarkers typeref:typename:None -__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__($/;" m class:GenerateWatershedMask typeref:typename:None -__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__($/;" m class:HoVerNetInstanceMapPostProcessing typeref:typename:None -__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__($/;" m class:HoVerNetNuclearTypePostProcessing typeref:typename:None -__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, connectivity: int | None = 1, dtype: DtypeLike = np.int64) -> None:$/;" m class:Watershed typeref:typename:None -__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, dtype: DtypeLike | None = int) -> None:$/;" m class:GenerateInstanceCentroid typeref:typename:None -__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, height: int, width: int) -> None:$/;" m class:GenerateSuccinctContour typeref:typename:None -__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, kernel_size: int = 5, dtype: DtypeLike = np.float32) -> None:$/;" m class:GenerateInstanceBorder typeref:typename:None -__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, min_num_points: int = 3, contour_level: float | None = None) -> None:$/;" m class:GenerateInstanceContour typeref:typename:None -__init__ monai/apps/pathology/transforms/post/array.py /^ def __init__(self, smooth_fn: Callable | None = None, dtype: DtypeLike = np.float32) -> None/;" m class:GenerateDistanceMap typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateDistanceMapd typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateInstanceBorderd typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateInstanceCentroidd typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateInstanceContourd typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateInstanceTyped typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateWatershedMarkersd typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:GenerateWatershedMaskd typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:HoVerNetInstanceMapPostProcessingd typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:HoVerNetNuclearTypePostProcessingd typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__($/;" m class:Watershedd typeref:typename:None -__init__ monai/apps/pathology/transforms/post/dictionary.py /^ def __init__(self, keys: KeysCollection, height: int, width: int, allow_missing_keys: bool =/;" m class:GenerateSuccinctContourd typeref:typename:None -__init__ monai/apps/pathology/transforms/stain/array.py /^ def __init__($/;" m class:ExtractHEStains typeref:typename:None -__init__ monai/apps/pathology/transforms/stain/array.py /^ def __init__($/;" m class:NormalizeHEStains typeref:typename:None -__init__ monai/apps/pathology/transforms/stain/dictionary.py /^ def __init__($/;" m class:ExtractHEStainsd typeref:typename:None -__init__ monai/apps/pathology/transforms/stain/dictionary.py /^ def __init__($/;" m class:NormalizeHEStainsd typeref:typename:None -__init__ monai/apps/reconstruction/networks/blocks/varnetblock.py /^ def __init__(self, refinement_model: nn.Module, spatial_dims: int = 2):$/;" m class:VarNetBlock -__init__ monai/apps/reconstruction/networks/nets/coil_sensitivity_model.py /^ def __init__($/;" m class:CoilSensitivityModel -__init__ monai/apps/reconstruction/networks/nets/complex_unet.py /^ def __init__($/;" m class:ComplexUnet -__init__ monai/apps/reconstruction/networks/nets/varnet.py /^ def __init__($/;" m class:VariationalNetworkModel -__init__ monai/apps/reconstruction/transforms/array.py /^ def __init__($/;" m class:KspaceMask -__init__ monai/apps/reconstruction/transforms/dictionary.py /^ def __init__($/;" m class:EquispacedKspaceMaskd typeref:typename:None -__init__ monai/apps/reconstruction/transforms/dictionary.py /^ def __init__($/;" m class:RandomKspaceMaskd typeref:typename:None -__init__ monai/apps/reconstruction/transforms/dictionary.py /^ def __init__($/;" m class:ReferenceBasedNormalizeIntensityd typeref:typename:None -__init__ monai/apps/reconstruction/transforms/dictionary.py /^ def __init__(self, keys: KeysCollection, meta_key: str, allow_missing_keys: bool = False) ->/;" m class:ExtractDataKeyFromMetaKeyd typeref:typename:None -__init__ monai/apps/reconstruction/transforms/dictionary.py /^ def __init__(self, keys: KeysCollection, ref_key: str, allow_missing_keys: bool = False) -> /;" m class:ReferenceBasedSpatialCropd typeref:typename:None -__init__ monai/auto3dseg/analyzer.py /^ def __init__($/;" m class:ImageHistogram -__init__ monai/auto3dseg/analyzer.py /^ def __init__($/;" m class:LabelStats -__init__ monai/auto3dseg/analyzer.py /^ def __init__($/;" m class:LabelStatsSumm -__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, image_key: str, label_key: str, stats_name: str = DataStatsKeys.FG_IMAGE_/;" m class:FgImageStats -__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, image_key: str, stats_name: str = DataStatsKeys.IMAGE_STATS) -> None:$/;" m class:ImageStats typeref:typename:None -__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, key: str | None, stats_name: str) -> None:$/;" m class:FilenameStats typeref:typename:None -__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, stats_name: str = DataStatsKeys.FG_IMAGE_STATS, average: bool | None = Tr/;" m class:FgImageStatsSumm -__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, stats_name: str = DataStatsKeys.IMAGE_HISTOGRAM, average: bool | None = T/;" m class:ImageHistogramSumm -__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, stats_name: str = DataStatsKeys.IMAGE_STATS, average: bool | None = True)/;" m class:ImageStatsSumm -__init__ monai/auto3dseg/analyzer.py /^ def __init__(self, stats_name: str, report_format: dict) -> None:$/;" m class:Analyzer typeref:typename:None -__init__ monai/auto3dseg/operations.py /^ def __init__(self) -> None:$/;" m class:SampleOperations typeref:typename:None -__init__ monai/auto3dseg/operations.py /^ def __init__(self) -> None:$/;" m class:SummaryOperations typeref:typename:None -__init__ monai/auto3dseg/seg_summarizer.py /^ def __init__($/;" m class:SegSummarizer typeref:typename:None -__init__ monai/bundle/config_item.py /^ def __init__($/;" m class:ConfigComponent typeref:typename:None -__init__ monai/bundle/config_item.py /^ def __init__(self, config: Any, id: str = "") -> None:$/;" m class:ConfigItem typeref:typename:None -__init__ monai/bundle/config_item.py /^ def __init__(self, config: Any, id: str = "", globals: dict | None = None) -> None:$/;" m class:ConfigExpression typeref:typename:None -__init__ monai/bundle/config_item.py /^ def __init__(self, excludes: Sequence[str] | str | None = None):$/;" m class:ComponentLocator -__init__ monai/bundle/config_parser.py /^ def __init__($/;" m class:ConfigParser -__init__ monai/bundle/reference_resolver.py /^ def __init__(self, items: Sequence[ConfigItem] | None = None):$/;" m class:ReferenceResolver -__init__ monai/bundle/workflows.py /^ def __init__($/;" m class:BundleWorkflow -__init__ monai/bundle/workflows.py /^ def __init__($/;" m class:ConfigWorkflow typeref:typename:None -__init__ monai/data/csv_saver.py /^ def __init__($/;" m class:CSVSaver typeref:typename:None -__init__ monai/data/dataloader.py /^ def __init__(self, dataset: Dataset, num_workers: int = 0, **kwargs) -> None:$/;" m class:DataLoader typeref:typename:None -__init__ monai/data/dataset.py /^ def __init__($/;" m class:ArrayDataset typeref:typename:None -__init__ monai/data/dataset.py /^ def __init__($/;" m class:CSVDataset -__init__ monai/data/dataset.py /^ def __init__($/;" m class:CacheDataset typeref:typename:None -__init__ monai/data/dataset.py /^ def __init__($/;" m class:CacheNTransDataset typeref:typename:None -__init__ monai/data/dataset.py /^ def __init__($/;" m class:GDSDataset typeref:typename:None -__init__ monai/data/dataset.py /^ def __init__($/;" m class:LMDBDataset typeref:typename:None -__init__ monai/data/dataset.py /^ def __init__($/;" m class:NPZDictItemDataset -__init__ monai/data/dataset.py /^ def __init__($/;" m class:PersistentDataset typeref:typename:None -__init__ monai/data/dataset.py /^ def __init__($/;" m class:SmartCacheDataset typeref:typename:None -__init__ monai/data/dataset.py /^ def __init__(self, data: Any, func: Callable, **kwargs) -> None:$/;" m class:DatasetFunc typeref:typename:None -__init__ monai/data/dataset.py /^ def __init__(self, data: Sequence, transform: Callable | None = None) -> None:$/;" m class:Dataset typeref:typename:None -__init__ monai/data/dataset.py /^ def __init__(self, datasets: Sequence, transform: Callable | None = None) -> None:$/;" m class:ZipDataset typeref:typename:None -__init__ monai/data/dataset_summary.py /^ def __init__($/;" m class:DatasetSummary -__init__ monai/data/folder_layout.py /^ def __init__($/;" m class:FolderLayout -__init__ monai/data/grid_dataset.py /^ def __init__($/;" m class:GridPatchDataset typeref:typename:None -__init__ monai/data/grid_dataset.py /^ def __init__($/;" m class:PatchDataset typeref:typename:None -__init__ monai/data/grid_dataset.py /^ def __init__($/;" m class:PatchIter -__init__ monai/data/grid_dataset.py /^ def __init__($/;" m class:PatchIterd -__init__ monai/data/image_dataset.py /^ def __init__($/;" m class:ImageDataset typeref:typename:None -__init__ monai/data/image_reader.py /^ def __init__($/;" m class:ITKReader -__init__ monai/data/image_reader.py /^ def __init__($/;" m class:NibabelReader -__init__ monai/data/image_reader.py /^ def __init__($/;" m class:NrrdReader -__init__ monai/data/image_reader.py /^ def __init__($/;" m class:PydicomReader -__init__ monai/data/image_reader.py /^ def __init__(self, converter: Callable | None = None, reverse_indexing: bool = True, **kwarg/;" m class:PILReader -__init__ monai/data/image_reader.py /^ def __init__(self, npz_keys: KeysCollection | None = None, channel_dim: str | int | None = N/;" m class:NumpyReader -__init__ monai/data/image_writer.py /^ def __init__($/;" m class:PILWriter -__init__ monai/data/image_writer.py /^ def __init__(self, **kwargs):$/;" m class:ImageWriter -__init__ monai/data/image_writer.py /^ def __init__(self, output_dtype: DtypeLike = np.float32, **kwargs):$/;" m class:NibabelWriter -__init__ monai/data/image_writer.py /^ def __init__(self, output_dtype: DtypeLike = np.float32, affine_lps_to_ras: bool | None = Tr/;" m class:ITKWriter -__init__ monai/data/iterable_dataset.py /^ def __init__($/;" m class:CSVIterableDataset -__init__ monai/data/iterable_dataset.py /^ def __init__(self, data, transform=None, buffer_size: int = 512, seed: int = 0, epochs: int /;" m class:ShuffleBuffer typeref:typename:None -__init__ monai/data/iterable_dataset.py /^ def __init__(self, data: Iterable[Any], transform: Callable | None = None) -> None:$/;" m class:IterableDataset typeref:typename:None -__init__ monai/data/meta_obj.py /^ def __init__(self) -> None:$/;" m class:MetaObj typeref:typename:None -__init__ monai/data/meta_tensor.py /^ def __init__($/;" m class:MetaTensor typeref:typename:None -__init__ monai/data/samplers.py /^ def __init__($/;" m class:DistributedSampler -__init__ monai/data/samplers.py /^ def __init__($/;" m class:DistributedWeightedRandomSampler -__init__ monai/data/test_time_augmentation.py /^ def __init__($/;" m class:TestTimeAugmentation typeref:typename:None -__init__ monai/data/thread_buffer.py /^ def __init__($/;" m class:ThreadDataLoader -__init__ monai/data/thread_buffer.py /^ def __init__(self, src, buffer_size: int = 1, timeout: float = 0.01):$/;" m class:ThreadBuffer -__init__ monai/data/ultrasound_confidence_map.py /^ def __init__(self, alpha: float = 2.0, beta: float = 90.0, gamma: float = 0.05, mode="B", si/;" m class:UltrasoundConfidenceMap -__init__ monai/data/video_dataset.py /^ def __init__($/;" m class:VideoDataset typeref:typename:None -__init__ monai/data/video_dataset.py /^ def __init__(self, *args, **kwargs) -> None:$/;" m class:VideoFileDataset typeref:typename:None -__init__ monai/data/wsi_datasets.py /^ def __init__($/;" m class:MaskedPatchWSIDataset -__init__ monai/data/wsi_datasets.py /^ def __init__($/;" m class:PatchWSIDataset -__init__ monai/data/wsi_datasets.py /^ def __init__($/;" m class:SlidingPatchWSIDataset -__init__ monai/data/wsi_reader.py /^ def __init__($/;" m class:BaseWSIReader -__init__ monai/data/wsi_reader.py /^ def __init__($/;" m class:WSIReader -__init__ monai/data/wsi_reader.py /^ def __init__(self, **kwargs):$/;" m class:OpenSlideWSIReader -__init__ monai/data/wsi_reader.py /^ def __init__(self, **kwargs):$/;" m class:TiffFileWSIReader -__init__ monai/data/wsi_reader.py /^ def __init__(self, num_workers: int = 0, **kwargs):$/;" m class:CuCIMWSIReader -__init__ monai/engines/evaluator.py /^ def __init__($/;" m class:EnsembleEvaluator typeref:typename:None -__init__ monai/engines/evaluator.py /^ def __init__($/;" m class:Evaluator typeref:typename:None -__init__ monai/engines/evaluator.py /^ def __init__($/;" m class:SupervisedEvaluator typeref:typename:None -__init__ monai/engines/trainer.py /^ def __init__($/;" m class:GanTrainer -__init__ monai/engines/trainer.py /^ def __init__($/;" m class:SupervisedTrainer typeref:typename:None -__init__ monai/engines/utils.py /^ def __init__(self, extra_keys: str | Sequence[str] | dict[str, str]) -> None:$/;" m class:PrepareBatchExtraInput typeref:typename:None -__init__ monai/engines/workflow.py /^ def __init__($/;" m class:Workflow typeref:typename:None -__init__ monai/fl/client/monai_algo.py /^ def __init__($/;" m class:MonaiAlgo -__init__ monai/fl/client/monai_algo.py /^ def __init__($/;" m class:MonaiAlgoStats -__init__ monai/fl/utils/exchange_object.py /^ def __init__($/;" m class:ExchangeObject -__init__ monai/handlers/checkpoint_loader.py /^ def __init__($/;" m class:CheckpointLoader typeref:typename:None -__init__ monai/handlers/checkpoint_saver.py /^ def __init__(self, dirname: str, filename: str | None = None):$/;" m class:CheckpointSaver.__init__._DiskSaver -__init__ monai/handlers/checkpoint_saver.py /^ def __init__($/;" m class:CheckpointSaver typeref:typename:None -__init__ monai/handlers/classification_saver.py /^ def __init__($/;" m class:ClassificationSaver typeref:typename:None -__init__ monai/handlers/clearml_handlers.py /^ def __init__($/;" m class:ClearMLHandler typeref:typename:None -__init__ monai/handlers/clearml_handlers.py /^ def __init__($/;" m class:ClearMLImageHandler typeref:typename:None -__init__ monai/handlers/clearml_handlers.py /^ def __init__($/;" m class:ClearMLStatsHandler typeref:typename:None -__init__ monai/handlers/confusion_matrix.py /^ def __init__($/;" m class:ConfusionMatrix typeref:typename:None -__init__ monai/handlers/decollate_batch.py /^ def __init__($/;" m class:DecollateBatch -__init__ monai/handlers/earlystop_handler.py /^ def __init__($/;" m class:EarlyStopHandler typeref:typename:None -__init__ monai/handlers/garbage_collector.py /^ def __init__(self, trigger_event: str | Events | CallableEventWithFilter = "epoch", log_leve/;" m class:GarbageCollector -__init__ monai/handlers/hausdorff_distance.py /^ def __init__($/;" m class:HausdorffDistance typeref:typename:None -__init__ monai/handlers/ignite_metric.py /^ def __init__($/;" m class:IgniteMetric typeref:typename:None -__init__ monai/handlers/ignite_metric.py /^ def __init__($/;" m class:IgniteMetricHandler typeref:typename:None -__init__ monai/handlers/logfile_handler.py /^ def __init__($/;" m class:LogfileHandler -__init__ monai/handlers/lr_schedule_handler.py /^ def __init__($/;" m class:LrScheduleHandler typeref:typename:None -__init__ monai/handlers/mean_dice.py /^ def __init__($/;" m class:MeanDice typeref:typename:None -__init__ monai/handlers/mean_iou.py /^ def __init__($/;" m class:MeanIoUHandler typeref:typename:None -__init__ monai/handlers/metric_logger.py /^ def __init__($/;" m class:MetricLogger 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class:Bottleneck -__init__ monai/networks/nets/quicknat.py /^ def __init__(self, in_channels: int, un_pool, se_layer, dropout, kernel_size, num_filters):$/;" m class:Decoder -__init__ monai/networks/nets/quicknat.py /^ def __init__(self, spatial_dims, in_channels, out_channels, strides, kernel_size, act=None, /;" m class:ClassifierBlock -__init__ monai/networks/nets/regressor.py /^ def __init__($/;" m class:Regressor typeref:typename:None -__init__ monai/networks/nets/regunet.py /^ def __init__($/;" m class:AdditiveUpSampleBlock -__init__ monai/networks/nets/regunet.py /^ def __init__($/;" m class:AffineHead -__init__ monai/networks/nets/regunet.py /^ def __init__($/;" m class:GlobalNet -__init__ monai/networks/nets/regunet.py /^ def __init__($/;" m class:LocalNet -__init__ monai/networks/nets/regunet.py /^ def __init__($/;" m class:RegUNet -__init__ monai/networks/nets/resnet.py /^ def __init__($/;" m class:ResNet typeref:typename:None -__init__ monai/networks/nets/resnet.py /^ def __init__($/;" m class:ResNetBlock typeref:typename:None -__init__ monai/networks/nets/resnet.py /^ def __init__($/;" m class:ResNetBottleneck typeref:typename:None -__init__ monai/networks/nets/segresnet.py /^ def __init__($/;" m class:SegResNet -__init__ monai/networks/nets/segresnet.py /^ def __init__($/;" m class:SegResNetVAE -__init__ monai/networks/nets/segresnet_ds.py /^ def __init__($/;" m class:SegResBlock typeref:typename:None -__init__ monai/networks/nets/segresnet_ds.py /^ def __init__($/;" m class:SegResEncoder -__init__ monai/networks/nets/segresnet_ds.py /^ def __init__($/;" m class:SegResNetDS -__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SENet typeref:typename:None -__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SENet154 typeref:typename:None -__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SEResNet101 typeref:typename:None -__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SEResNet152 typeref:typename:None -__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SEResNet50 typeref:typename:None -__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SEResNext101 typeref:typename:None -__init__ monai/networks/nets/senet.py /^ def __init__($/;" m class:SEResNext50 typeref:typename:None -__init__ monai/networks/nets/swin_unetr.py /^ def __init__($/;" m class:BasicLayer typeref:typename:None -__init__ monai/networks/nets/swin_unetr.py /^ def __init__($/;" m class:SwinTransformer typeref:typename:None -__init__ monai/networks/nets/swin_unetr.py /^ def __init__($/;" m class:SwinTransformerBlock typeref:typename:None -__init__ monai/networks/nets/swin_unetr.py /^ def __init__($/;" m class:SwinUNETR typeref:typename:None -__init__ monai/networks/nets/swin_unetr.py /^ def __init__($/;" m class:WindowAttention typeref:typename:None -__init__ monai/networks/nets/swin_unetr.py /^ def __init__(self, dim: int, norm_layer: type[LayerNorm] = nn.LayerNorm, spatial_dims: int =/;" m class:PatchMergingV2 typeref:typename:None -__init__ monai/networks/nets/torchvision_fc.py /^ def __init__($/;" m class:TorchVisionFCModel -__init__ monai/networks/nets/transchex.py /^ def __init__($/;" m class:MultiModal typeref:typename:None -__init__ monai/networks/nets/transchex.py /^ def __init__($/;" m class:Transchex typeref:typename:None -__init__ monai/networks/nets/transchex.py /^ def __init__(self, *inputs, **kwargs) -> None:$/;" m class:BertPreTrainedModel typeref:typename:None -__init__ monai/networks/nets/transchex.py /^ def __init__(self, config) -> None:$/;" m class:BertAttention typeref:typename:None -__init__ monai/networks/nets/transchex.py /^ def __init__(self, config) -> None:$/;" m class:BertMixedLayer typeref:typename:None -__init__ monai/networks/nets/transchex.py /^ def __init__(self, config) -> None:$/;" m class:BertOutput typeref:typename:None -__init__ monai/networks/nets/transchex.py /^ def __init__(self, hidden_size) -> None:$/;" m class:Pooler typeref:typename:None -__init__ monai/networks/nets/unet.py /^ def __init__($/;" m class:UNet typeref:typename:None -__init__ monai/networks/nets/unetr.py /^ def __init__($/;" m class:UNETR typeref:typename:None -__init__ monai/networks/nets/varautoencoder.py /^ def __init__($/;" m class:VarAutoEncoder typeref:typename:None -__init__ monai/networks/nets/vit.py /^ def __init__($/;" m class:ViT typeref:typename:None -__init__ monai/networks/nets/vitautoenc.py /^ def __init__($/;" m class:ViTAutoEnc typeref:typename:None -__init__ monai/networks/nets/vnet.py /^ def __init__($/;" m class:DownTransition -__init__ monai/networks/nets/vnet.py /^ def __init__($/;" m class:InputTransition -__init__ monai/networks/nets/vnet.py /^ def __init__($/;" m class:OutputTransition -__init__ monai/networks/nets/vnet.py /^ def __init__($/;" m class:UpTransition -__init__ monai/networks/nets/vnet.py /^ def __init__($/;" m class:VNet -__init__ monai/networks/nets/vnet.py /^ def __init__(self, spatial_dims: int, nchan: int, act: tuple[str, dict] | str, bias: bool = /;" m class:LUConv -__init__ monai/networks/nets/voxelmorph.py /^ def __init__($/;" m class:VoxelMorph typeref:typename:None -__init__ monai/networks/nets/voxelmorph.py /^ def __init__($/;" m class:VoxelMorphUNet typeref:typename:None -__init__ monai/optimizers/lr_finder.py /^ def __init__($/;" m class:LearningRateFinder typeref:typename:None -__init__ monai/optimizers/lr_finder.py /^ def __init__($/;" m class:TrainDataLoaderIter typeref:typename:None -__init__ monai/optimizers/lr_finder.py /^ def __init__(self, data_loader: DataLoader, image_extractor: Callable, label_extractor: Call/;" m class:DataLoaderIter typeref:typename:None -__init__ monai/optimizers/lr_finder.py /^ def __init__(self, data_loader: DataLoader, image_extractor: Callable, label_extractor: Call/;" m class:ValDataLoaderIter typeref:typename:None -__init__ monai/optimizers/lr_scheduler.py /^ def __init__($/;" m class:WarmupCosineSchedule typeref:typename:None -__init__ monai/optimizers/lr_scheduler.py /^ def __init__(self, optimizer: Optimizer, end_lr: float, num_iter: int, last_epoch: int = -1)/;" m class:_LRSchedulerMONAI typeref:typename:None -__init__ monai/optimizers/novograd.py /^ def __init__($/;" m class:Novograd -__init__ monai/transforms/adaptors.py /^ def __init__(self, function: Callable) -> None:$/;" m class:FunctionSignature typeref:typename:None -__init__ monai/transforms/compose.py /^ def __init__($/;" m class:Compose typeref:typename:None -__init__ monai/transforms/compose.py /^ def __init__($/;" m class:OneOf typeref:typename:None -__init__ monai/transforms/compose.py /^ def __init__($/;" m class:RandomOrder typeref:typename:None -__init__ monai/transforms/compose.py /^ def __init__($/;" m class:SomeOf typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:BorderPad typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:CropForeground typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:DivisiblePad typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:Pad typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandCropByLabelClasses typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandCropByPosNegLabel typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandScaleCrop typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandSpatialCrop typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandSpatialCropSamples typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:RandWeightedCrop -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:ResizeWithPadOrCrop -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:SpatialCrop typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__($/;" m class:SpatialPad typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__(self, lazy: bool = False):$/;" m class:Crop -__init__ monai/transforms/croppad/array.py /^ def __init__(self, roi_scale: Sequence[float] | float, lazy: bool = False):$/;" m class:CenterScaleCrop -__init__ monai/transforms/croppad/array.py /^ def __init__(self, roi_size: Sequence[int] | int, lazy: bool = False) -> None:$/;" m class:CenterSpatialCrop typeref:typename:None -__init__ monai/transforms/croppad/array.py /^ def __init__(self, select_fn: Callable = is_positive) -> None:$/;" m class:BoundingRect typeref:typename:None -__init__ monai/transforms/croppad/batch.py /^ def __init__(self, method: str = Method.SYMMETRIC, mode: str = PytorchPadMode.CONSTANT, **kw/;" m class:PadListDataCollate typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:BorderPadd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:BoundingRectd -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:CenterScaleCropd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:CenterSpatialCropd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:CropForegroundd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:DivisiblePadd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:Padd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandCropByLabelClassesd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandCropByPosNegLabeld typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandScaleCropd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandSpatialCropSamplesd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandSpatialCropd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:RandWeightedCropd -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:ResizeWithPadOrCropd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:SpatialCropd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__($/;" m class:SpatialPadd typeref:typename:None -__init__ monai/transforms/croppad/dictionary.py /^ def __init__(self, keys: KeysCollection, cropper: Crop, allow_missing_keys: bool = False, la/;" m class:Cropd -__init__ monai/transforms/croppad/dictionary.py /^ def __init__(self, keys: KeysCollection, cropper: Crop, allow_missing_keys: bool = False, la/;" m class:RandCropd -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:ForegroundMask typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:GaussianSharpen typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:HistogramNormalize typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:NormalizeIntensity typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandAdjustContrast typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandBiasField typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandCoarseDropout typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandCoarseTransform typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandGaussianNoise typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandGaussianSharpen typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandGaussianSmooth typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandKSpaceSpikeNoise -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandRicianNoise typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandScaleIntensity typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandScaleIntensityFixedMean typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandShiftIntensity typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:RandStdShiftIntensity typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:ScaleIntensity typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:ScaleIntensityFixedMean typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:ScaleIntensityRange typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:ScaleIntensityRangePercentiles typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__($/;" m class:StdShiftIntensity typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, alpha: float = 0.1) -> None:$/;" m class:GibbsNoise typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, alpha: float = 2.0, beta: float = 90.0, gamma: float = 0.05, mode="B", si/;" m class:UltrasoundConfidenceMapTransform typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, axis: int = 1, n: int | None = None) -> None:$/;" m class:DetectEnvelope typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, dtype: DtypeLike = "float32") -> None:$/;" m class:ComputeHoVerMaps typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, gamma: float, invert_image: bool = False, retain_stats: bool = False) -> /;" m class:AdjustContrast typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, kernel_size: int = 30, slope: float = 0.7):$/;" m class:IntensityRemap -__init__ monai/transforms/intensity/array.py /^ def __init__(self, loc: tuple | Sequence[tuple], k_intensity: Sequence[float] | float | None/;" m class:KSpaceSpikeNoise -__init__ monai/transforms/intensity/array.py /^ def __init__(self, mask_data: NdarrayOrTensor | None = None, select_fn: Callable = is_positi/;" m class:MaskIntensity typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, num_control_points: tuple[int, int] | int = 10, prob: float = 0.1) -> Non/;" m class:RandHistogramShift typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, offset: float, safe: bool = False) -> None:$/;" m class:ShiftIntensity typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, prob: float = 0.1, alpha: float | Sequence[float] = (0.0, 1.0)) -> None:$/;" m class:RandGibbsNoise typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, prob: float = 0.1, kernel_size: int = 30, slope: float = 0.7, channel_wis/;" m class:RandIntensityRemap -__init__ monai/transforms/intensity/array.py /^ def __init__(self, radius: Sequence[int] | int = 1) -> None:$/;" m class:MedianSmooth typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, sigma: Sequence[float] | float = 1.0, approx: str = "erf") -> None:$/;" m class:GaussianSmooth typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, threshold: float, above: bool = True, cval: float = 0.0) -> None:$/;" m class:ThresholdIntensity typeref:typename:None -__init__ monai/transforms/intensity/array.py /^ def __init__(self, window_length: int, order: int, axis: int = 1, mode: str = "zeros"):$/;" m class:SavitzkyGolaySmooth -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:AdjustContrastd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ComputeHoVerMapsd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ForegroundMaskd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:GaussianSharpend typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:GaussianSmoothd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:HistogramNormalized typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:KSpaceSpikeNoised typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:MaskIntensityd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:NormalizeIntensityd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandAdjustContrastd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandBiasFieldd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandCoarseDropoutd -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandCoarseShuffled -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandGaussianNoised typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandGaussianSharpend -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandGaussianSmoothd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandGibbsNoised typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandHistogramShiftd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandKSpaceSpikeNoised -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandRicianNoised typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandScaleIntensityFixedMeand typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandScaleIntensityd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandShiftIntensityd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:RandStdShiftIntensityd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:SavitzkyGolaySmoothd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ScaleIntensityRangePercentilesd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ScaleIntensityRanged typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ScaleIntensityd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ShiftIntensityd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:StdShiftIntensityd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__($/;" m class:ThresholdIntensityd typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__(self, keys: KeysCollection, alpha: float = 0.5, allow_missing_keys: bool = Fals/;" m class:GibbsNoised typeref:typename:None -__init__ monai/transforms/intensity/dictionary.py /^ def __init__(self, keys: KeysCollection, radius: Sequence[int] | int, allow_missing_keys: bo/;" m class:MedianSmoothd typeref:typename:None -__init__ monai/transforms/inverse_batch_transform.py /^ def __init__($/;" m class:BatchInverseTransform typeref:typename:None -__init__ monai/transforms/inverse_batch_transform.py /^ def __init__($/;" m class:Decollated typeref:typename:None -__init__ monai/transforms/inverse_batch_transform.py /^ def __init__(self, data: Sequence[Any], transform: InvertibleTransform, pad_collation_used: /;" m class:_BatchInverseDataset typeref:typename:None -__init__ monai/transforms/io/array.py /^ def __init__($/;" m class:LoadImage typeref:typename:None -__init__ monai/transforms/io/array.py /^ def __init__($/;" m class:SaveImage typeref:typename:None -__init__ monai/transforms/io/dictionary.py /^ def __init__($/;" m class:LoadImaged typeref:typename:None -__init__ monai/transforms/io/dictionary.py /^ def __init__($/;" m class:SaveImaged typeref:typename:None -__init__ monai/transforms/lazy/dictionary.py /^ def __init__(self, keys: KeysCollection):$/;" m class:ApplyPendingd -__init__ monai/transforms/lazy/utils.py /^ def __init__(self, data):$/;" m class:Affine -__init__ monai/transforms/lazy/utils.py /^ def __init__(self, data):$/;" m class:DisplacementField -__init__ monai/transforms/meta_utility/dictionary.py /^ def __init__($/;" m class:FromMetaTensord -__init__ monai/transforms/nvtx.py /^ def __init__(self, msg: str) -> None:$/;" m class:Mark typeref:typename:None -__init__ monai/transforms/nvtx.py /^ def __init__(self, msg: str) -> None:$/;" m class:RangePush typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:AsDiscrete typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:Invert typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:KeepLargestConnectedComponent typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:ProbNMS typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:RemoveSmallObjects typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__($/;" m class:SobelGradients typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__(self, applied_labels: Iterable[int] | int | None = None, connectivity: int | No/;" m class:FillHoles typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__(self, applied_labels: Iterable[int] | int) -> None:$/;" m class:LabelFilter typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__(self, kernel_type: str = "Laplace") -> None:$/;" m class:LabelToContour typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__(self, num_classes: int | None = None) -> None:$/;" m class:VoteEnsemble typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__(self, sampling: None | float | list[float] = None) -> None:$/;" m class:DistanceTransformEDT typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__(self, sigmoid: bool = False, softmax: bool = False, other: Callable | None = No/;" m class:Activations typeref:typename:None -__init__ monai/transforms/post/array.py /^ def __init__(self, weights: Sequence[float] | NdarrayOrTensor | None = None) -> None:$/;" m class:MeanEnsemble typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:Activationsd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:AsDiscreted typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:DistanceTransformEDTd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:Ensembled typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:FillHolesd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:Invertd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:KeepLargestConnectedComponentd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:LabelFilterd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:MeanEnsembled typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:ProbNMSd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:RemoveSmallObjectsd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:SaveClassificationd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__($/;" m class:SobelGradientsd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__(self, keys: KeysCollection, kernel_type: str = "Laplace", allow_missing_keys: b/;" m class:LabelToContourd typeref:typename:None -__init__ monai/transforms/post/dictionary.py /^ def __init__(self, keys: KeysCollection, output_key: str | None = None, num_classes: int | N/;" m class:VoteEnsembled typeref:typename:None -__init__ monai/transforms/regularization/array.py /^ def __init__(self, batch_size: int, alpha: float = 1.0) -> None:$/;" m class:Mixer typeref:typename:None -__init__ monai/transforms/regularization/dictionary.py /^ def __init__($/;" m class:CutMixd typeref:typename:None -__init__ monai/transforms/regularization/dictionary.py /^ def __init__($/;" m class:MixUpd typeref:typename:None -__init__ monai/transforms/regularization/dictionary.py /^ def __init__(self, keys: KeysCollection, batch_size: int, allow_missing_keys: bool = False) /;" m class:CutOutd typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__($/;" m class:SignalRandAddSinePartial typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__($/;" m class:SignalRandAddSquarePulsePartial typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__($/;" m class:SignalRandShift typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__($/;" m class:SignalRemoveFrequency typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__(self, boundaries: Sequence[float] = (-1.0, 1.0)) -> None:$/;" m class:SignalRandScale typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__(self, boundaries: Sequence[float] = (0.0, 1.0)) -> None:$/;" m class:SignalRandDrop typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__(self, boundaries: Sequence[float] = (0.001, 0.02)) -> None:$/;" m class:SignalRandAddGaussianNoise typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__(self, boundaries: Sequence[float] = (0.01, 0.2), frequencies: Sequence[float] =/;" m class:SignalRandAddSquarePulse typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__(self, boundaries: Sequence[float] = (0.1, 0.3), frequencies: Sequence[float] = /;" m class:SignalRandAddSine typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__(self, replacement: float = 0.0) -> None:$/;" m class:SignalFillEmpty typeref:typename:None -__init__ monai/transforms/signal/array.py /^ def __init__(self, type: str = "mexh", length: float = 125.0, frequency: float = 500.0) -> N/;" m class:SignalContinuousWavelet typeref:typename:None -__init__ monai/transforms/signal/dictionary.py /^ def __init__(self, keys: KeysCollection = None, allow_missing_keys: bool = False, replacemen/;" m class:SignalFillEmptyd -__init__ monai/transforms/smooth_field/array.py /^ def __init__($/;" m class:RandSmoothDeform -__init__ monai/transforms/smooth_field/array.py /^ def __init__($/;" m class:RandSmoothFieldAdjustContrast -__init__ monai/transforms/smooth_field/array.py /^ def __init__($/;" m class:RandSmoothFieldAdjustIntensity -__init__ monai/transforms/smooth_field/array.py /^ def __init__($/;" m class:SmoothField -__init__ monai/transforms/smooth_field/dictionary.py /^ def __init__($/;" m class:RandSmoothDeformd -__init__ monai/transforms/smooth_field/dictionary.py /^ def __init__($/;" m class:RandSmoothFieldAdjustContrastd -__init__ monai/transforms/smooth_field/dictionary.py /^ def __init__($/;" m class:RandSmoothFieldAdjustIntensityd -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Affine typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:AffineGrid typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:GridDistortion typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:GridPatch -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Orientation typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Rand2DElastic typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Rand3DElastic typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandAffine typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandAffineGrid typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandDeformGrid typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandGridDistortion typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandGridPatch -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandRotate typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandRotate90 typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandSimulateLowResolution typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:RandZoom typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Resample typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Resize typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Rotate typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Spacing typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:SpatialResample -__init__ monai/transforms/spatial/array.py /^ def __init__($/;" m class:Zoom typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__(self, grid: tuple[int, int] = (2, 2), size: int | tuple[int, int] | None = None/;" m class:GridSplit -__init__ monai/transforms/spatial/array.py /^ def __init__(self, k: int = 1, spatial_axes: tuple[int, int] = (0, 1), lazy: bool = False) -/;" m class:Rotate90 typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__(self, prob: float = 0.1, lazy: bool = False) -> None:$/;" m class:RandAxisFlip typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__(self, prob: float = 0.1, spatial_axis: Sequence[int] | int | None = None, lazy:/;" m class:RandFlip typeref:typename:None -__init__ monai/transforms/spatial/array.py /^ def __init__(self, spatial_axis: Sequence[int] | int | None = None, lazy: bool = False) -> N/;" m class:Flip typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Affined typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Flipd typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:GridDistortiond typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:GridPatchd -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:GridSplitd -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Orientationd typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Rand2DElasticd typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Rand3DElasticd typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandAffined typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandAxisFlipd typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandFlipd typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandGridDistortiond typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandGridPatchd -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandRotate90d typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandRotated typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandSimulateLowResolutiond typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:RandZoomd typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:ResampleToMatchd -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Resized typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Rotate90d typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Rotated typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Spacingd typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:SpatialResampled typeref:typename:None -__init__ monai/transforms/spatial/dictionary.py /^ def __init__($/;" m class:Zoomd typeref:typename:None -__init__ monai/transforms/transform.py /^ def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:$/;" m class:MapTransform typeref:typename:None -__init__ monai/transforms/transform.py /^ def __init__(self, lazy: bool | None = False):$/;" m class:LazyTransform -__init__ monai/transforms/transform.py /^ def __init__(self, prob: float = 1.0, do_transform: bool = True):$/;" m class:RandomizableTransform -__init__ monai/transforms/utility/array.py /^ def __init__( # pytype: disable=annotation-type-mismatch$/;" m class:LabelToMask typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:ClassesToIndices typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:DataStats typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:EnsureType typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:Lambda typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:RandImageFilter typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:RandLambda typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__($/;" m class:ToTensor typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, background: int = 0, pert: float = 0.0) -> None:$/;" m class:AddExtremePointsChannel typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, channel_dim: int = 0) -> None:$/;" m class:AsChannelLast typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, delay_time: float = 0.0) -> None:$/;" m class:SimulateDelay typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, device: torch.device | str, **kwargs) -> None:$/;" m class:ToDevice typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, dim: int = -1, keepdim: bool = True, update_meta=True) -> None:$/;" m class:SplitDim typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, dim: int | None = 0, update_meta=True) -> None:$/;" m class:SqueezeDim typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, dtype: DtypeLike = None, wrap_sequence: bool = True) -> None:$/;" m class:ToNumpy typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, dtype: np.dtype | None = None, wrap_sequence: bool = True) -> None:$/;" m class:ToCupy typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, dtype=np.float32) -> None:$/;" m class:CastToType typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, filter: str | NdarrayOrTensor | nn.Module, filter_size: int | None = None/;" m class:ImageFilter typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, image_threshold: float = 0.0, output_shape: Sequence[int] | None = None) /;" m class:FgBgToIndices typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, indices: Sequence[int] | None) -> None:$/;" m class:Transpose typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, name: str, *args, **kwargs) -> None:$/;" m class:CuCIM typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, name: str, *args, **kwargs) -> None:$/;" m class:RandCuCIM typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, name: str, *args, **kwargs) -> None:$/;" m class:TorchVision typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, ops: Sequence[str | Callable], key_prefix: str, channel_wise: bool = Fals/;" m class:IntensityStats typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, orig_labels: Sequence, target_labels: Sequence, dtype: DtypeLike = np.flo/;" m class:MapLabelValue typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, repeats: int) -> None:$/;" m class:RemoveRepeatedChannel typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, repeats: int) -> None:$/;" m class:RepeatChannel typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, spatial_dims: Sequence[int]) -> None:$/;" m class:AddCoordinateChannels typeref:typename:None -__init__ monai/transforms/utility/array.py /^ def __init__(self, strict_check: bool = True, channel_dim: None | str | int = None):$/;" m class:EnsureChannelFirst -__init__ monai/transforms/utility/dictionary.py /^ def __init__( # pytype: disable=annotation-type-mismatch$/;" m class:LabelToMaskd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:AddExtremePointsChanneld -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:CastToTyped typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ClassesToIndicesd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:CopyItemsd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:DataStatsd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:EnsureChannelFirstd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:EnsureTyped typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:FgBgToIndicesd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:FlattenSubKeysd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ImageFilterd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:IntensityStatsd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:Lambdad typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:MapLabelValued typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:RandImageFilterd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:RandLambdad typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:SimulateDelayd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:SplitDimd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:SqueezeDimd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ToCupyd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ToDeviced typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ToNumpyd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__($/;" m class:ToTensord typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:$/;" m class:Identityd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False) -> None:$/;" m class:ToPILd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, allow_missing_keys: bool = False):$/;" m class:ConvertToMultiChannelBasedOnBratsClassesd -__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, channel_dim: int = 0, allow_missing_keys: bool = Fa/;" m class:AsChannelLastd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, indices: Sequence[int] | None, allow_missing_keys: /;" m class:Transposed typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, name: str, allow_missing_keys: bool = False, *args,/;" m class:CuCIMd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, name: str, allow_missing_keys: bool = False, *args,/;" m class:RandCuCIMd typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, name: str, allow_missing_keys: bool = False, *args,/;" m class:RandTorchVisiond typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def __init__(self, keys: KeysCollection, name: str, allow_missing_keys: bool = False, *args,/;" m class:TorchVisiond typeref:typename:None -__init__ monai/transforms/utility/dictionary.py /^ def 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.fillholesd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.frommetatensord method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.griddistortion method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.griddistortiond method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.identityd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.invertd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.keeplargestconnectedcomponent method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.keeplargestconnectedcomponentd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.labelfilter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.labelfilterd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.labeltocontourd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.loadimage method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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/^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.randshiftintensityd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.randsimulatelowresolution method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.randsimulatelowresolutiond method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.randstdshiftintensity method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.randstdshiftintensityd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.removerepeatedchanneld method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.repeatchanneld method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.resample method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.signalrandscale method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.signalrandshift method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.signalremovefrequency method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -__init__() (monai.transforms.simulatedelay method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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docs/source/networks.rst /^`EfficientNetBN`$/;" s chapter:Nets -`EfficientNet` docs/source/networks.rst /^`EfficientNet`$/;" s chapter:Nets -`EnsembleEvaluator` docs/source/engines.rst /^`EnsembleEvaluator`$/;" s chapter:Workflows -`Ensembled` docs/source/transforms.rst /^`Ensembled`$/;" S section:Post-processing (Dict) -`EnsureChannelFirst` docs/source/transforms.rst /^`EnsureChannelFirst`$/;" S section:Utility -`EnsureChannelFirstd` docs/source/transforms.rst /^`EnsureChannelFirstd`$/;" S section:Utility (Dict) -`EnsureType` docs/source/transforms.rst /^`EnsureType`$/;" S section:Utility -`EnsureTyped` docs/source/transforms.rst /^`EnsureTyped`$/;" S section:Utility (Dict) -`Evaluator` docs/source/engines.rst /^`Evaluator`$/;" s chapter:Workflows -`ExponentialLR` docs/source/optimizers.rst /^`ExponentialLR`$/;" c title:Optimizers -`ExtractDataKeyFromMetaKeyd` docs/source/transforms.rst /^`ExtractDataKeyFromMetaKeyd`$/;" S section:`MRI transforms (Dict)` -`FCN Module` 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chapter:Generic Interfaces -`GEGLU` docs/source/networks.rst /^`GEGLU`$/;" s chapter:Blocks -`GanTrainer` docs/source/engines.rst /^`GanTrainer`$/;" s chapter:Workflows -`GaussianFilter` docs/source/networks.rst /^`GaussianFilter`$/;" s chapter:Layers -`GaussianMixtureModel` docs/source/networks.rst /^`GaussianMixtureModel`$/;" s chapter:Layers -`GaussianSharpen` docs/source/transforms.rst /^`GaussianSharpen`$/;" S section:Intensity -`GaussianSharpend` docs/source/transforms.rst /^`GaussianSharpend`$/;" S section:Intensity (Dict) -`GaussianSmooth` docs/source/transforms.rst /^`GaussianSmooth`$/;" S section:Intensity -`GaussianSmoothd` docs/source/transforms.rst /^`GaussianSmoothd`$/;" S section:Intensity (Dict) -`Generalized Dice Score` docs/source/metrics.rst /^`Generalized Dice Score`$/;" c title:Metrics -`GeneralizedDiceFocalLoss` docs/source/losses.rst /^`GeneralizedDiceFocalLoss`$/;" s chapter:Segmentation Losses -`GeneralizedDiceLoss` docs/source/losses.rst 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-`LabelFilter` docs/source/transforms.rst /^`LabelFilter`$/;" S section:Post-processing -`LabelFilterd` docs/source/transforms.rst /^`LabelFilterd`$/;" S section:Post-processing (Dict) -`LabelQualityScore` docs/source/metrics.rst /^`LabelQualityScore`$/;" c title:Metrics -`LabelToContour` docs/source/transforms.rst /^`LabelToContour`$/;" S section:Post-processing -`LabelToContourd` docs/source/transforms.rst /^`LabelToContourd`$/;" S section:Post-processing (Dict) -`LabelToMask` docs/source/transforms.rst /^`LabelToMask`$/;" S section:Utility -`LabelToMaskd` docs/source/transforms.rst /^`LabelToMaskd`$/;" S section:Utility (Dict) -`Lambda` docs/source/transforms.rst /^`Lambda`$/;" S section:Utility -`Lambdad` docs/source/transforms.rst /^`Lambdad`$/;" S section:Utility (Dict) -`LazyTrait` docs/source/transforms.rst /^`LazyTrait`$/;" s chapter:Generic Interfaces -`LazyTransform` docs/source/transforms.rst /^`LazyTransform`$/;" s chapter:Generic Interfaces -`LearningRateFinder` 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docs/source/networks.rst /^`MLP Block`$/;" s chapter:Blocks -`MONAI Bundle Reference Implementations` docs/source/fl.rst /^`MONAI Bundle Reference Implementations`$/;" c title:Federated Learning -`MRI transforms (Dict)` docs/source/transforms.rst /^`MRI transforms (Dict)`$/;" s chapter:Dictionary Transforms -`MapLabelValue` docs/source/transforms.rst /^`MapLabelValue`$/;" S section:Utility -`MapLabelValued` docs/source/transforms.rst /^`MapLabelValued`$/;" S section:Utility (Dict) -`MapTransform` docs/source/transforms.rst /^`MapTransform`$/;" s chapter:Generic Interfaces -`Mark` docs/source/transforms.rst /^`Mark`$/;" S section:NVIDIA Tool Extension (NVTX) -`MaskIntensity` docs/source/transforms.rst /^`MaskIntensity`$/;" S section:Intensity -`MaskIntensityd` docs/source/transforms.rst /^`MaskIntensityd`$/;" S section:Intensity (Dict) -`MaskedDiceLoss` docs/source/losses.rst /^`MaskedDiceLoss`$/;" s chapter:Segmentation Losses -`MaskedLoss` docs/source/losses.rst /^`MaskedLoss`$/;" s chapter:Loss Wrappers -`Matcher` docs/source/apps.rst /^`Matcher`$/;" s chapter:`Detection` -`MaxAvgPooling` docs/source/networks.rst /^`MaxAvgPooling`$/;" s chapter:Blocks -`Maximum Mean Discrepancy` docs/source/metrics.rst /^`Maximum Mean Discrepancy`$/;" c title:Metrics -`Mean Dice` docs/source/metrics.rst /^`Mean Dice`$/;" c title:Metrics -`Mean IoU` docs/source/metrics.rst /^`Mean IoU`$/;" c title:Metrics -`Mean absolute error` docs/source/metrics.rst /^`Mean absolute error`$/;" c title:Metrics -`Mean squared error` docs/source/metrics.rst /^`Mean squared error`$/;" c title:Metrics -`MeanEnsemble` docs/source/transforms.rst /^`MeanEnsemble`$/;" S section:Post-processing -`MeanEnsembled` docs/source/transforms.rst /^`MeanEnsembled`$/;" S section:Post-processing (Dict) -`MedianFilter` docs/source/networks.rst /^`MedianFilter`$/;" s chapter:Layers -`MedianSmooth` docs/source/transforms.rst /^`MedianSmooth`$/;" S section:Intensity -`MedianSmoothd` docs/source/transforms.rst /^`MedianSmoothd`$/;" S section:Intensity (Dict) -`MemoryEfficientSwish` docs/source/networks.rst /^`MemoryEfficientSwish`$/;" s chapter:Blocks -`Metric` docs/source/metrics.rst /^`Metric`$/;" c title:Metrics -`Metrics reloaded binary` docs/source/metrics.rst /^`Metrics reloaded binary`$/;" c title:Metrics -`Metrics reloaded categorical` docs/source/metrics.rst /^`Metrics reloaded categorical`$/;" c title:Metrics -`Mish` docs/source/networks.rst /^`Mish`$/;" s chapter:Blocks -`MixUp` docs/source/transforms.rst /^`MixUp`$/;" S section:Regularization -`MixUpd` docs/source/transforms.rst /^`MixUpd`$/;" S section:Regularization (Dict) -`Multi-Channel FCN Module` docs/source/networks.rst /^`Multi-Channel FCN Module`$/;" s chapter:Blocks -`Multi-scale structural similarity index measure` docs/source/metrics.rst /^`Multi-scale structural similarity index measure`$/;" c title:Metrics -`MultiSampleTrait` docs/source/transforms.rst /^`MultiSampleTrait`$/;" s chapter:Generic Interfaces 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chapter:Layers -`PadListDataCollate` docs/source/transforms.rst /^`PadListDataCollate`$/;" S section:Crop and Pad -`Pad` docs/source/networks.rst /^`Pad`$/;" s chapter:Layers -`Pad` docs/source/transforms.rst /^`Pad`$/;" S section:Crop and Pad -`Padd` docs/source/transforms.rst /^`Padd`$/;" S section:Crop and Pad (Dict) -`PanopticQualityMetric` docs/source/metrics.rst /^`PanopticQualityMetric`$/;" c title:Metrics -`Patch Embedding Block` docs/source/networks.rst /^`Patch Embedding Block`$/;" s chapter:Blocks -`PatchAdversarialLoss` docs/source/losses.rst /^`PatchAdversarialLoss`$/;" s chapter:Reconstruction Losses -`PatchDataset` docs/source/data.rst /^`PatchDataset`$/;" s chapter:Patch-based dataset -`PatchInferer` docs/source/inferers.rst /^`PatchInferer`$/;" s chapter:Inferers -`PatchIter` docs/source/data.rst /^`PatchIter`$/;" S section:`PatchDataset` -`PatchIterd` docs/source/data.rst /^`PatchIterd`$/;" S section:`PatchDataset` -`Pathology` docs/source/apps.rst /^`Pathology`$/;" c title:Applications -`Peak signal to noise ratio` docs/source/metrics.rst /^`Peak signal to noise ratio`$/;" c title:Metrics -`PerceptualLoss` docs/source/losses.rst /^`PerceptualLoss`$/;" s chapter:Reconstruction Losses -`PersistentDataset` docs/source/data.rst /^`PersistentDataset`$/;" s chapter:Generic Interfaces -`Pool` docs/source/networks.rst /^`Pool`$/;" s chapter:Layers -`ProbNMS` docs/source/transforms.rst /^`ProbNMS`$/;" S section:Post-processing -`ProbNMSd` docs/source/transforms.rst /^`ProbNMSd`$/;" S section:Post-processing (Dict) -`Quicknat` docs/source/networks.rst /^`Quicknat`$/;" s chapter:Nets -`Rand2DElastic` docs/source/transforms.rst /^`Rand2DElastic`$/;" S section:Spatial -`Rand2DElasticd` docs/source/transforms.rst /^`Rand2DElasticd`$/;" S section:Spatial (Dict) -`Rand3DElastic` docs/source/transforms.rst /^`Rand3DElastic`$/;" S section:Spatial -`Rand3DElasticd` docs/source/transforms.rst /^`Rand3DElasticd`$/;" S section:Spatial (Dict) -`RandAdjustContrast` 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-`RandCoarseShuffle` docs/source/transforms.rst /^`RandCoarseShuffle`$/;" S section:Intensity -`RandCoarseShuffled` docs/source/transforms.rst /^`RandCoarseShuffled`$/;" S section:Intensity (Dict) -`RandCoarseTransform` docs/source/transforms.rst /^`RandCoarseTransform`$/;" S section:Intensity -`RandCropByLabelClasses` docs/source/transforms.rst /^`RandCropByLabelClasses`$/;" S section:Crop and Pad -`RandCropByLabelClassesd` docs/source/transforms.rst /^`RandCropByLabelClassesd`$/;" S section:Crop and Pad (Dict) -`RandCropByPosNegLabel` docs/source/transforms.rst /^`RandCropByPosNegLabel`$/;" S section:Crop and Pad -`RandCropByPosNegLabeld` docs/source/transforms.rst /^`RandCropByPosNegLabeld`$/;" S section:Crop and Pad (Dict) -`RandCropd` docs/source/transforms.rst /^`RandCropd`$/;" S section:Crop and Pad (Dict) -`RandCuCIM` docs/source/transforms.rst /^`RandCuCIM`$/;" S section:Utility -`RandCuCIMd` docs/source/transforms.rst /^`RandCuCIMd`$/;" S section:Utility (Dict) -`RandDeformGrid` docs/source/transforms.rst /^`RandDeformGrid`$/;" S section:Spatial -`RandFlip` docs/source/transforms.rst /^`RandFlip`$/;" S section:Spatial -`RandFlipd` docs/source/transforms.rst /^`RandFlipd`$/;" S section:Spatial (Dict) -`RandGaussianNoise` docs/source/transforms.rst /^`RandGaussianNoise`$/;" S section:Intensity -`RandGaussianNoised` docs/source/transforms.rst /^`RandGaussianNoised`$/;" S section:Intensity (Dict) -`RandGaussianSharpen` docs/source/transforms.rst /^`RandGaussianSharpen`$/;" S section:Intensity -`RandGaussianSharpend` docs/source/transforms.rst /^`RandGaussianSharpend`$/;" S section:Intensity (Dict) -`RandGaussianSmooth` docs/source/transforms.rst /^`RandGaussianSmooth`$/;" S section:Intensity -`RandGaussianSmoothd` docs/source/transforms.rst /^`RandGaussianSmoothd`$/;" S section:Intensity (Dict) -`RandGibbsNoise` docs/source/transforms.rst /^`RandGibbsNoise`$/;" S section:Intensity -`RandGibbsNoised` docs/source/transforms.rst /^`RandGibbsNoised`$/;" S section:Intensity (Dict) -`RandGridDistortion` docs/source/transforms.rst /^`RandGridDistortion`$/;" S section:Spatial -`RandGridDistortiond` docs/source/transforms.rst /^`RandGridDistortiond`$/;" S section:Spatial (Dict) -`RandGridPatch` docs/source/transforms.rst /^`RandGridPatch`$/;" S section:Spatial -`RandGridPatchd` docs/source/transforms.rst /^`RandGridPatchd`$/;" S section:Spatial (Dict) -`RandHistogramShift` docs/source/transforms.rst /^`RandHistogramShift`$/;" S section:Intensity -`RandHistogramShiftd` docs/source/transforms.rst /^`RandHistogramShiftd`$/;" S section:Intensity (Dict) -`RandImageFilter` docs/source/transforms.rst /^`RandImageFilter`$/;" S section:Utility -`RandImageFilterd` docs/source/transforms.rst /^`RandImageFilterd`$/;" S section:Utility (Dict) -`RandKSpaceSpikeNoise` docs/source/transforms.rst /^`RandKSpaceSpikeNoise`$/;" S section:Intensity -`RandKSpaceSpikeNoised` docs/source/transforms.rst /^`RandKSpaceSpikeNoised`$/;" S section:Intensity (Dict) -`RandLambda` docs/source/transforms.rst /^`RandLambda`$/;" S section:Utility -`RandLambdad` docs/source/transforms.rst /^`RandLambdad`$/;" S section:Utility (Dict) -`RandMark` docs/source/transforms.rst /^`RandMark`$/;" S section:NVIDIA Tool Extension (NVTX) -`RandRangePop` docs/source/transforms.rst /^`RandRangePop`$/;" S section:NVIDIA Tool Extension (NVTX) -`RandRangePush` docs/source/transforms.rst /^`RandRangePush`$/;" S section:NVIDIA Tool Extension (NVTX) -`RandRicianNoise` docs/source/transforms.rst /^`RandRicianNoise`$/;" S section:Intensity -`RandRicianNoised` docs/source/transforms.rst /^`RandRicianNoised`$/;" S section:Intensity (Dict) -`RandRotate90` docs/source/transforms.rst /^`RandRotate90`$/;" S section:Spatial -`RandRotate90d` docs/source/transforms.rst /^`RandRotate90d`$/;" S section:Spatial (Dict) -`RandRotate` docs/source/transforms.rst /^`RandRotate`$/;" S section:Spatial -`RandRotated` docs/source/transforms.rst /^`RandRotated`$/;" S section:Spatial (Dict) -`RandScaleCrop` docs/source/transforms.rst /^`RandScaleCrop`$/;" S section:Crop and Pad -`RandScaleCropd` docs/source/transforms.rst /^`RandScaleCropd`$/;" S section:Crop and Pad (Dict) -`RandScaleIntensityFixedMean` docs/source/transforms.rst /^`RandScaleIntensityFixedMean`$/;" S section:Intensity -`RandScaleIntensityFixedMeand` docs/source/transforms.rst /^`RandScaleIntensityFixedMeand`$/;" S section:Intensity (Dict) -`RandScaleIntensity` docs/source/transforms.rst /^`RandScaleIntensity`$/;" S section:Intensity -`RandScaleIntensityd` docs/source/transforms.rst /^`RandScaleIntensityd`$/;" S section:Intensity (Dict) -`RandShiftIntensity` docs/source/transforms.rst /^`RandShiftIntensity`$/;" S section:Intensity -`RandShiftIntensityd` docs/source/transforms.rst /^`RandShiftIntensityd`$/;" S section:Intensity (Dict) -`RandSimulateLowResolution` docs/source/transforms.rst /^`RandSimulateLowResolution`$/;" S section:Spatial -`RandSimulateLowResolutiond` docs/source/transforms.rst /^`RandSimulateLowResolutiond`$/;" S section:Spatial (Dict) -`RandSmoothDeform` docs/source/transforms.rst /^`RandSmoothDeform`$/;" S section:Smooth Field -`RandSmoothDeformd` docs/source/transforms.rst /^`RandSmoothDeformd`$/;" S section:Smooth Field (Dict) -`RandSmoothFieldAdjustContrast` docs/source/transforms.rst /^`RandSmoothFieldAdjustContrast`$/;" S section:Smooth Field -`RandSmoothFieldAdjustContrastd` docs/source/transforms.rst /^`RandSmoothFieldAdjustContrastd`$/;" S section:Smooth Field (Dict) -`RandSmoothFieldAdjustIntensity` docs/source/transforms.rst /^`RandSmoothFieldAdjustIntensity`$/;" S section:Smooth Field -`RandSmoothFieldAdjustIntensityd` docs/source/transforms.rst /^`RandSmoothFieldAdjustIntensityd`$/;" S section:Smooth Field (Dict) -`RandSpatialCropSamples` docs/source/transforms.rst /^`RandSpatialCropSamples`$/;" S section:Crop and Pad -`RandSpatialCropSamplesd` docs/source/transforms.rst /^`RandSpatialCropSamplesd`$/;" S section:Crop and Pad (Dict) -`RandSpatialCrop` docs/source/transforms.rst /^`RandSpatialCrop`$/;" S section:Crop and Pad -`RandSpatialCropd` docs/source/transforms.rst /^`RandSpatialCropd`$/;" S section:Crop and Pad (Dict) -`RandStdShiftIntensity` docs/source/transforms.rst /^`RandStdShiftIntensity`$/;" S section:Intensity -`RandStdShiftIntensityd` docs/source/transforms.rst /^`RandStdShiftIntensityd`$/;" S section:Intensity (Dict) -`RandTorchVisiond` docs/source/transforms.rst /^`RandTorchVisiond`$/;" S section:Utility (Dict) -`RandWeightedCrop` docs/source/transforms.rst /^`RandWeightedCrop`$/;" S section:Crop and Pad -`RandWeightedCropd` docs/source/transforms.rst /^`RandWeightedCropd`$/;" S section:Crop and Pad (Dict) -`RandZoom` docs/source/transforms.rst /^`RandZoom`$/;" S section:Spatial -`RandZoomd` docs/source/transforms.rst /^`RandZoomd`$/;" S section:Spatial (Dict) -`RandomOrder` docs/source/transforms.rst /^`RandomOrder`$/;" s chapter:Generic Interfaces -`RandomizableTrait` docs/source/transforms.rst /^`RandomizableTrait`$/;" s chapter:Generic Interfaces -`RandomizableTransform` docs/source/transforms.rst /^`RandomizableTransform`$/;" s chapter:Generic Interfaces -`Randomizable` docs/source/transforms.rst /^`Randomizable`$/;" s chapter:Generic Interfaces -`RangePop` docs/source/transforms.rst /^`RangePop`$/;" S section:NVIDIA Tool Extension (NVTX) -`RangePush` docs/source/transforms.rst /^`RangePush`$/;" S section:NVIDIA Tool Extension (NVTX) -`Reconstruction` docs/source/apps.rst /^`Reconstruction`$/;" c title:Applications -`Reference Resolver` docs/source/bundle.rst /^`Reference Resolver`$/;" c title:Model Bundle -`ReferenceBasedNormalizeIntensityd` docs/source/transforms.rst /^`ReferenceBasedNormalizeIntensityd`$/;" S section:`MRI transforms (Dict)` -`ReferenceBasedSpatialCropd` docs/source/transforms.rst /^`ReferenceBasedSpatialCropd`$/;" S section:`MRI transforms (Dict)` -`Refinement Module` docs/source/networks.rst /^`Refinement Module`$/;" s chapter:Blocks -`RegUNet` docs/source/networks.rst /^`RegUNet`$/;" s chapter:Nets -`Registration Down Sample Block` docs/source/networks.rst /^`Registration Down Sample Block`$/;" s chapter:Blocks -`Registration Extraction Block` docs/source/networks.rst /^`Registration Extraction Block`$/;" s chapter:Blocks -`Registration Residual Conv Block` docs/source/networks.rst /^`Registration Residual Conv Block`$/;" s chapter:Blocks -`Regressor` docs/source/networks.rst /^`Regressor`$/;" s chapter:Nets -`RemoveRepeatedChannel` docs/source/transforms.rst /^`RemoveRepeatedChannel`$/;" S section:Utility -`RemoveRepeatedChanneld` docs/source/transforms.rst /^`RemoveRepeatedChanneld`$/;" S section:Utility (Dict) -`RemoveSmallObjects` docs/source/transforms.rst /^`RemoveSmallObjects`$/;" S section:Post-processing -`RemoveSmallObjectsd` docs/source/transforms.rst /^`RemoveSmallObjectsd`$/;" S section:Post-processing (Dict) -`RepeatChannel` docs/source/transforms.rst /^`RepeatChannel`$/;" S section:Utility -`RepeatChanneld` docs/source/transforms.rst /^`RepeatChanneld`$/;" S section:Utility (Dict) -`ResNet` docs/source/networks.rst /^`ResNet`$/;" s chapter:Nets -`ResampleToMatch` docs/source/transforms.rst /^`ResampleToMatch`$/;" S section:Spatial -`ResampleToMatchd` docs/source/transforms.rst /^`ResampleToMatchd`$/;" S section:Spatial (Dict) -`Resample` docs/source/transforms.rst /^`Resample`$/;" S section:Spatial -`Reshape` docs/source/networks.rst /^`Reshape`$/;" s chapter:Layers -`Residual Squeeze-and-Excitation` docs/source/networks.rst /^`Residual Squeeze-and-Excitation`$/;" s chapter:Blocks -`ResidualUnit` docs/source/networks.rst /^`ResidualUnit`$/;" s chapter:Blocks -`ResizeWithPadOrCrop` docs/source/transforms.rst /^`ResizeWithPadOrCrop`$/;" S section:Crop and Pad -`ResizeWithPadOrCropd` docs/source/transforms.rst /^`ResizeWithPadOrCropd`$/;" S section:Crop and Pad (Dict) -`Resize` docs/source/transforms.rst /^`Resize`$/;" S section:Spatial -`Resized` 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docs/build/html/_static/scripts/bootstrap.js /^(()=>{"use strict";var t={d:(e,i)=>{for(var n in i)t.o(i,n)&&!t.o(e,n)&&Object.defineProperty(e,/;" p variable:pe.xn._triggerBackdropTransition.anonymousObject1fdeb0b6ba05 -bounding-box docs/build/html/data.html /^<span id="bounding-box"><\/span><h2>Bounding box<a class="headerlink" href="#module-monai.data.b/;" I -bounding_box monai/apps/deepgrow/transforms.py /^ def bounding_box(self, points, img_shape):$/;" m class:SpatialCropGuidanced -boundingrect docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -boundingrect docs/build/html/transforms.html /^<section id="boundingrect">$/;" I -boundingrect (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries 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typeref:typename:MONAI_INLINE MONAI_DEVICE void -bounds1 monai/csrc/resample/interpolation_common.h /^static MONAI_INLINE MONAI_DEVICE void bounds1(scalar_t x, offset_t& low, offset_t& upp) {$/;" f namespace:monai::_interpolation typeref:typename:MONAI_INLINE MONAI_DEVICE void -bounds2 monai/csrc/resample/interpolation_common.h /^static MONAI_INLINE MONAI_DEVICE void bounds2(scalar_t x, offset_t& low, offset_t& upp) {$/;" f namespace:monai::_interpolation typeref:typename:MONAI_INLINE MONAI_DEVICE void -bounds3 monai/csrc/resample/interpolation_common.h /^static MONAI_INLINE MONAI_DEVICE void bounds3(scalar_t x, offset_t& low, offset_t& upp) {$/;" f namespace:monai::_interpolation typeref:typename:MONAI_INLINE MONAI_DEVICE void -bounds4 monai/csrc/resample/interpolation_common.h /^static MONAI_INLINE MONAI_DEVICE void bounds4(scalar_t x, offset_t& low, offset_t& upp) {$/;" f namespace:monai::_interpolation typeref:typename:MONAI_INLINE MONAI_DEVICE void -bounds5 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I -compute_confusion_matrix_metric monai/metrics/confusion_matrix.py /^def compute_confusion_matrix_metric(metric_name: str, confusion_matrix: torch.Tensor) -> torch.T/;" f typeref:typename:torch.Tensor -compute_confusion_matrix_metric() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_dic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_dice monai/metrics/meandice.py /^def compute_dice($/;" f typeref:typename:torch.Tensor -compute_dict tests/test_sliding_window_hovernet_inference.py /^ def compute_dict(data):$/;" f member:TestSlidingWindowHoVerNetInference.test_multioutput file: -compute_dict tests/test_sliding_window_inference.py /^ def compute_dict(data):$/;" f 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property:anonymousObject06adab590105.indexentries -compute_froc_scor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_froc_score docs/build/html/_modules/monai/metrics/froc.html /^<div class="viewcode-block" id="compute_froc_score">$/;" I -compute_froc_score monai/metrics/froc.py /^def compute_froc_score($/;" f typeref:typename:Any -compute_froc_score() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_generalized_dic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_generalized_dice docs/build/html/_modules/monai/metrics/generalized_dice.html /^<div class="viewcode-block" id="compute_generalized_dice">$/;" I -compute_generalized_dice monai/metrics/generalized_dice.py /^def compute_generalized_dice($/;" f typeref:typename:torch.Tensor -compute_generalized_dice() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_hausdorff_dist docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_hausdorff_distance docs/build/html/_modules/monai/metrics/hausdorff_distance.html /^<div class="viewcode-block" id="compute_hausdorff_distance">$/;" I -compute_hausdorff_distance monai/metrics/hausdorff_distance.py /^def compute_hausdorff_distance($/;" f typeref:typename:torch.Tensor -compute_hausdorff_distance() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_i docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_importance_map docs/build/html/_modules/monai/data/utils.html /^<div class="viewcode-block" id="compute_importance_map">$/;" I -compute_importance_map docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_importance_map monai/data/utils.py /^def compute_importance_map($/;" f typeref:typename:torch.Tensor -compute_importance_map() (in module monai.data.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_iou docs/build/html/_modules/monai/metrics/meaniou.html /^<div class="viewcode-block" id="compute_iou">$/;" I -compute_iou monai/metrics/meaniou.py /^def compute_iou($/;" f typeref:typename:torch.Tensor -compute_iou() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_isolated_tumor_cel docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_isolated_tumor_cells docs/build/html/_modules/monai/apps/pathology/utils.html /^<div class="viewcode-block" id="compute_isolated_tumor_cells">$/;" I -compute_isolated_tumor_cells monai/apps/pathology/utils.py /^def compute_isolated_tumor_cells(tumor_mask: np.ndarray, threshold: float) -> list[int]:$/;" f typeref:typename:list[int] -compute_isolated_tumor_cells() (in module monai.apps.pathology.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_loss docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_loss monai/apps/detection/networks/retinanet_detector.py /^ def compute_loss($/;" m class:RetinaNetDetector typeref:typename:dict[str,Tensor] -compute_loss() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_map docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_map monai/visualize/class_activation_maps.py /^ def compute_map(self, x, class_idx=None, layer_idx=-1):$/;" m class:CAMBase -compute_map monai/visualize/class_activation_maps.py /^ def compute_map(self, x, class_idx=None, layer_idx=-1, **kwargs):$/;" m class:CAM -compute_map monai/visualize/class_activation_maps.py /^ def compute_map(self, x, class_idx=None, retain_graph=False, layer_idx=-1, **kwargs):$/;" m class:GradCAM -compute_map monai/visualize/class_activation_maps.py /^ def compute_map(self, x, class_idx=None, retain_graph=False, layer_idx=-1, **kwargs):$/;" m class:GradCAMpp -compute_map() (monai.visualize.class_activation_maps.cam method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_map() (monai.visualize.class_activation_maps.gradcam method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_map() (monai.visualize.class_activation_maps.gradcampp method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_mask monai/networks/nets/swin_unetr.py /^def compute_mask(dims, window_size, shift_size, device):$/;" f -compute_match docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_matches monai/apps/detection/utils/ATSS_matcher.py /^ def compute_matches($/;" m class:ATSSMatcher typeref:typename:tuple[torch.Tensor,torch.Tensor] -compute_matches monai/apps/detection/utils/ATSS_matcher.py /^ def compute_matches($/;" m class:Matcher typeref:typename:tuple[torch.Tensor,torch.Tensor] -compute_matches() (monai.apps.detection.utils.atss_matcher.atssmatcher method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_matches() (monai.apps.detection.utils.atss_matcher.matcher method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_mean_error_metrics monai/metrics/regression.py /^def compute_mean_error_metrics(y_pred: torch.Tensor, y: torch.Tensor, func: Callable) -> torch.T/;" f typeref:typename:torch.Tensor -compute_mmd docs/build/html/_modules/monai/metrics/mmd.html /^<div class="viewcode-block" id="compute_mmd">$/;" I -compute_mmd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_mmd monai/metrics/mmd.py /^def compute_mmd(y: torch.Tensor, y_pred: torch.Tensor, y_mapping: Callable | None) -> torch.Tens/;" f typeref:typename:torch.Tensor -compute_mmd() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_ms_ssim monai/metrics/regression.py /^def compute_ms_ssim($/;" f typeref:typename:torch.Tensor -compute_multi_instance_mask docs/build/html/_modules/monai/apps/pathology/utils.html /^<div class="viewcode-block" id="compute_multi_instance_mask">$/;" I -compute_multi_instance_mask docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_multi_instance_mask monai/apps/pathology/utils.py /^def compute_multi_instance_mask(mask: np.ndarray, threshold: float) -> Any:$/;" f typeref:typename:Any -compute_multi_instance_mask() (in module monai.apps.pathology.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_pad_width docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_pad_width monai/transforms/croppad/array.py /^ def compute_pad_width(self, spatial_shape: Sequence[int]) -> tuple[tuple[int, int]]:$/;" m class:BorderPad typeref:typename:tuple[tuple[int,int]] -compute_pad_width monai/transforms/croppad/array.py /^ def compute_pad_width(self, spatial_shape: Sequence[int]) -> tuple[tuple[int, int]]:$/;" m class:DivisiblePad typeref:typename:tuple[tuple[int,int]] -compute_pad_width monai/transforms/croppad/array.py /^ def compute_pad_width(self, spatial_shape: Sequence[int]) -> tuple[tuple[int, int]]:$/;" m class:Pad typeref:typename:tuple[tuple[int,int]] -compute_pad_width monai/transforms/croppad/array.py /^ def compute_pad_width(self, spatial_shape: Sequence[int]) -> tuple[tuple[int, int]]:$/;" m class:SpatialPad typeref:typename:tuple[tuple[int,int]] -compute_pad_width() (monai.transforms.borderpad method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_pad_width() (monai.transforms.divisiblepad method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_pad_width() (monai.transforms.pad method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_pad_width() (monai.transforms.spatialpad method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_panoptic_qu docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_panoptic_quality docs/build/html/_modules/monai/metrics/panoptic_quality.html /^<div class="viewcode-block" id="compute_panoptic_quality">$/;" I -compute_panoptic_quality monai/metrics/panoptic_quality.py /^def compute_panoptic_quality($/;" f typeref:typename:torch.Tensor -compute_panoptic_quality() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_percent_hausdorff_dist docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_percent_hausdorff_distance docs/build/html/_modules/monai/metrics/hausdorff_distance.html /^<div class="viewcode-block" id="compute_percent_hausdorff_distance">$/;" I -compute_percent_hausdorff_distance monai/metrics/hausdorff_distance.py /^def compute_percent_hausdorff_distance($/;" f typeref:typename:float -compute_percent_hausdorff_distance() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_roc_auc docs/build/html/_modules/monai/metrics/rocauc.html /^<div class="viewcode-block" id="compute_roc_auc">$/;" I -compute_roc_auc docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_roc_auc monai/metrics/rocauc.py /^def compute_roc_auc($/;" f typeref:typename:np.ndarray|float|npt.ArrayLike -compute_roc_auc() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_sampl docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_shape_offset docs/build/html/_modules/monai/data/utils.html /^<div class="viewcode-block" id="compute_shape_offset">$/;" I -compute_shape_offset docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_shape_offset monai/data/utils.py /^def compute_shape_offset($/;" f typeref:typename:tuple[np.ndarray,np.ndarray] -compute_shape_offset() (in module monai.data.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_slic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_slices monai/transforms/croppad/array.py /^ def compute_slices($/;" m class:Crop typeref:typename:tuple[slice] -compute_slices monai/transforms/croppad/array.py /^ def compute_slices(self, spatial_size: Sequence[int]) -> tuple[slice]: # type: ignore[overr/;" m class:CenterSpatialCrop typeref:typename:tuple[slice] -compute_slices() (monai.transforms.centerspatialcrop method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_slices() (monai.transforms.crop static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_ssim_and_cs monai/metrics/regression.py /^def compute_ssim_and_cs($/;" f typeref:typename:tuple[torch.Tensor,torch.Tensor] -compute_surface_dic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_surface_dice docs/build/html/_modules/monai/metrics/surface_dice.html /^<div class="viewcode-block" id="compute_surface_dice">$/;" I -compute_surface_dice monai/metrics/surface_dice.py /^def compute_surface_dice($/;" f typeref:typename:torch.Tensor -compute_surface_dice() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -compute_vari docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -compute_variance docs/build/html/_modules/monai/metrics/active_learning_metrics.html /^<div class="viewcode-block" id="compute_variance">$/;" I -compute_variance monai/metrics/active_learning_metrics.py /^def compute_variance($/;" f typeref:typename:torch.Tensor|None -compute_variance() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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"_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -computehovermapsd docs/build/html/transforms.html /^<section id="computehovermapsd">$/;" I -computehovermapsd (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -computer docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p -computer-mouse docs/build/html/_static/vendor/fontawesome/6.5.1/js/all.min.js /^!function(){"use strict";var c={},l={};try{"undefined"!=typeof window&&(c=window),"undefined"!=t/;" p variable:p -concat docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -concat tests/test_compose.py /^ def concat(value):$/;" m class:TestOps -concat_multikeys_to_dict docs/build/html/_modules/monai/auto3dseg/utils.html /^<div class="viewcode-block" id="concat_multikeys_to_dict">$/;" I -concat_multikeys_to_dict docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -concat_multikeys_to_dict monai/auto3dseg/utils.py /^def concat_multikeys_to_dict($/;" f typeref:typename:dict[str,np.ndarray] -concat_multikeys_to_dict() (in module monai.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -concat_skip docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -concat_val_to_np docs/build/html/_modules/monai/auto3dseg/utils.html /^<div class="viewcode-block" id="concat_val_to_np">$/;" I -concat_val_to_np docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -concat_val_to_np monai/auto3dseg/utils.py /^def concat_val_to_np($/;" f typeref:typename:np.ndarray -concat_val_to_np() (in module monai.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -concata tests/test_compose.py /^ def concata(value):$/;" m class:TestOps -concatd tests/test_compose.py /^ def concatd(value):$/;" m class:TestOps -concaten docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -concatenate 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docs/build/html/_modules/monai/utils/type_conversion.html /^<div class="viewcode-block" id="convert_to_cupy">$/;" I -convert_to_cupy monai/utils/type_conversion.py /^def convert_to_cupy(data: Any, dtype: np.dtype | None = None, wrap_sequence: bool = False, safe:/;" f typeref:typename:Any -convert_to_cupy() (in module monai.utils.type_conversion) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -convert_to_dst_typ docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -convert_to_dst_type docs/build/html/_modules/monai/utils/type_conversion.html /^<div class="viewcode-block" id="convert_to_dst_type">$/;" I -convert_to_dst_type monai/utils/type_conversion.py /^def convert_to_dst_type($/;" f typeref:typename:tuple[NdarrayTensor,type,torch.device|None] -convert_to_dst_type() (in module monai.utils.type_conversion) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -convert_to_list monai/utils/type_conversion.py /^def convert_to_list(data: Sequence | torch.Tensor | np.ndarray) -> list:$/;" f typeref:typename:list -convert_to_numpi docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -convert_to_numpy docs/build/html/_modules/monai/utils/type_conversion.html /^<div class="viewcode-block" id="convert_to_numpy">$/;" I -convert_to_numpy monai/utils/type_conversion.py /^def convert_to_numpy(data: Any, dtype: DtypeLike = None, wrap_sequence: bool = False, safe: bool/;" f typeref:typename:Any -convert_to_numpy() (in module monai.utils.type_conversion) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -convert_to_onnx docs/build/html/_modules/monai/networks/utils.html /^<div class="viewcode-block" id="convert_to_onnx">$/;" I -convert_to_onnx docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -convert_to_onnx monai/networks/utils.py /^def convert_to_onnx($/;" f -convert_to_onnx() (in module monai.networks.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -convert_to_tensor docs/build/html/_modules/monai/utils/type_conversion.html /^<div class="viewcode-block" id="convert_to_tensor">$/;" I -convert_to_tensor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -convert_to_tensor monai/utils/type_conversion.py /^def convert_to_tensor($/;" f typeref:typename:Any -convert_to_tensor() (in module monai.utils.type_conversion) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -convert_to_tensor_complex docs/build/html/_modules/monai/apps/reconstruction/complex_utils.html /^<div class="viewcode-block" id="convert_to_tensor_complex">$/;" I -convert_to_tensor_complex docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -convert_to_tensor_complex monai/apps/reconstruction/complex_utils.py /^def 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torch.Tensor):$/;" m class:MCFCN -forward monai/networks/blocks/feature_pyramid_network.py /^ def forward(self, results: list[Tensor], x: list[Tensor], names: list[str]) -> tuple[list[Te/;" m class:LastLevelMaxPool typeref:typename:tuple[list[Tensor],list[str]] -forward monai/networks/blocks/feature_pyramid_network.py /^ def forward(self, results: list[Tensor], x: list[Tensor], names: list[str]) -> tuple[list[Te/;" m class:LastLevelP6P7 typeref:typename:tuple[list[Tensor],list[str]] -forward monai/networks/blocks/feature_pyramid_network.py /^ def forward(self, results: list[Tensor], x: list[Tensor], names: list[str]):$/;" m class:ExtraFPNBlock -forward monai/networks/blocks/feature_pyramid_network.py /^ def forward(self, x: dict[str, Tensor]) -> dict[str, Tensor]:$/;" m class:FeaturePyramidNetwork typeref:typename:dict[str,Tensor] -forward monai/networks/blocks/localnet_block.py /^ def forward(self, x) -> torch.Tensor:$/;" m class:LocalNetFeatureExtractorBlock 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property:anonymousObject06adab590105.terms -get_box_train_sample_per_image monai/apps/detection/networks/retinanet_detector.py /^ def get_box_train_sample_per_image($/;" m class:RetinaNetDetector typeref:typename:tuple[Tensor,Tensor] -get_box_train_sample_per_image() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_boxmod docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_boxmode docs/build/html/_modules/monai/data/box_utils.html /^<div class="viewcode-block" id="get_boxmode">$/;" I -get_boxmode monai/data/box_utils.py /^def get_boxmode(mode: str | BoxMode | type[BoxMode] | None = None, *args, **kwargs) -> BoxMode:$/;" f typeref:typename:BoxMode -get_boxmode() (in module monai.data.box_utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_budget docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_budget monai/auto3dseg/algo_gen.py /^ def get_budget(self, *args, **kwargs):$/;" m class:AlgoGen -get_budget() (monai.auto3dseg.algogen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_buff docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_buffer monai/metrics/metric.py /^ def get_buffer(self):$/;" m class:Cumulative -get_buffer() (monai.metrics.cumulative method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_bundle_info docs/build/html/_modules/monai/bundle/scripts.html /^<div class="viewcode-block" id="get_bundle_info">$/;" I -get_bundle_info docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_bundle_info monai/bundle/scripts.py /^def get_bundle_info($/;" f typeref:typename:dict[str,Any] -get_bundle_info() (in module monai.bundle) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_bundle_vers docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_bundle_versions docs/build/html/_modules/monai/bundle/scripts.html /^<div class="viewcode-block" id="get_bundle_versions">$/;" I -get_bundle_versions monai/bundle/scripts.py /^def get_bundle_versions($/;" f typeref:typename:dict[str,list[str]|str] -get_bundle_versions() (in module monai.bundle) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_cache monai/data/csv_saver.py /^ def get_cache(self) -> OrderedDict:$/;" m class:CSVSaver typeref:typename:OrderedDict -get_clickmap_boundingbox monai/apps/nuclick/transforms.py /^ def get_clickmap_boundingbox(self, img, cx, cy, x, y, bb=128):$/;" m class:AddClickSignalsd -get_cls_train_sample_per_imag docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_cls_train_sample_per_image monai/apps/detection/networks/retinanet_detector.py /^ def get_cls_train_sample_per_image($/;" m class:RetinaNetDetector typeref:typename:tuple[Tensor,Tensor] -get_cls_train_sample_per_image() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_cmdclass versioneer.py /^def get_cmdclass(cmdclass=None):$/;" f -get_cmds setup.py /^def get_cmds():$/;" f -get_code_to_measure_t docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_code_to_measure_table docs/build/html/_modules/monai/metrics/utils.html /^<div class="viewcode-block" id="get_code_to_measure_table">$/;" I -get_code_to_measure_table monai/metrics/utils.py /^def get_code_to_measure_table(spacing, device=None):$/;" f -get_code_to_measure_table() (in module monai.metrics.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_component_module_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_component_module_name monai/bundle/config_item.py /^ def get_component_module_name(self, name: str) -> list[str] | str | None:$/;" m class:ComponentLocator typeref:typename:list[str]|str|None -get_component_module_name() (monai.bundle.componentlocator method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_config docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_config monai/_version.py /^def get_config():$/;" f -get_config monai/bundle/config_item.py /^ def get_config(self):$/;" m class:ConfigItem -get_config() (monai.bundle.configitem method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_config_from_root versioneer.py /^def get_config_from_root(root):$/;" f -get_config_values monai/config/deviceconfig.py /^def get_config_values():$/;" f -get_confusion_matrix docs/build/html/_modules/monai/metrics/confusion_matrix.html /^<div class="viewcode-block" id="get_confusion_matrix">$/;" I -get_confusion_matrix docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_confusion_matrix monai/metrics/confusion_matrix.py /^def get_confusion_matrix(y_pred: torch.Tensor, y: torch.Tensor, include_background: bool = True)/;" f typeref:typename:torch.Tensor -get_confusion_matrix() (in module monai.metrics) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_constructor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_constructor monai/networks/layers/factories.py /^ def get_constructor(self, factory_name: str, *args) -> Any:$/;" m 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property:anonymousObject06adab590105.terms -get_current monai/metrics/cumulative_average.py /^ def get_current(self, to_numpy: bool = True) -> NdarrayOrTensor:$/;" m class:CumulativeAverage typeref:typename:NdarrayOrTensor -get_current() (monai.metrics.cumulativeaverage method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_data monai/apps/reconstruction/fastmri_reader.py /^ def get_data(self, dat: dict) -> tuple[ndarray, dict]:$/;" m class:FastMRIReader typeref:typename:tuple[ndarray,dict] -get_data monai/data/image_reader.py /^ def get_data(self, data) -> tuple[np.ndarray, dict]:$/;" m class:PydicomReader typeref:typename:tuple[np.ndarray,dict] -get_data monai/data/image_reader.py /^ def get_data(self, img) -> tuple[np.ndarray, dict]:$/;" m class:ITKReader typeref:typename:tuple[np.ndarray,dict] -get_data monai/data/image_reader.py /^ def get_data(self, img) -> tuple[np.ndarray, dict]:$/;" m class:ImageReader typeref:typename:tuple[np.ndarray,dict] -get_data monai/data/image_reader.py /^ def get_data(self, img) -> tuple[np.ndarray, dict]:$/;" m class:NibabelReader typeref:typename:tuple[np.ndarray,dict] -get_data monai/data/image_reader.py /^ def get_data(self, img) -> tuple[np.ndarray, dict]:$/;" m class:NumpyReader typeref:typename:tuple[np.ndarray,dict] -get_data monai/data/image_reader.py /^ def get_data(self, img) -> tuple[np.ndarray, dict]:$/;" m class:PILReader typeref:typename:tuple[np.ndarray,dict] -get_data monai/data/image_reader.py /^ def get_data(self, img: NrrdImage | list[NrrdImage]) -> tuple[np.ndarray, dict]:$/;" m class:NrrdReader typeref:typename:tuple[np.ndarray,dict] -get_data monai/data/wsi_reader.py /^ def get_data($/;" m class:BaseWSIReader typeref:typename:tuple[np.ndarray,dict] -get_data monai/transforms/utils_create_transform_ims.py /^def get_data(keys):$/;" f -get_data tests/test_fourier.py /^ def get_data(img_shape):$/;" m class:TestFourier -get_data tests/test_gibbs_noise.py /^ def get_data(im_shape, input_type):$/;" m class:TestGibbsNoise -get_data tests/test_gibbs_noised.py /^ def get_data(im_shape, input_type):$/;" m class:TestGibbsNoised -get_data tests/test_k_space_spike_noise.py /^ def get_data(im_shape, im_type):$/;" m class:TestKSpaceSpikeNoise -get_data tests/test_k_space_spike_noised.py /^ def get_data(im_shape, im_type):$/;" m class:TestKSpaceSpikeNoised -get_data tests/test_load_image.py /^ def get_data(self, _obj):$/;" m class:_MiniReader -get_data tests/test_rand_gibbs_noise.py /^ def get_data(im_shape, input_type):$/;" m class:TestRandGibbsNoise -get_data tests/test_rand_gibbs_noised.py /^ def get_data(im_shape, input_type):$/;" m class:TestRandGibbsNoised -get_data tests/test_rand_k_space_spike_noise.py /^ def get_data(im_shape, im_type):$/;" m class:TestRandKSpaceSpikeNoise -get_data tests/test_rand_k_space_spike_noised.py /^ def get_data(im_shape, im_type):$/;" m class:TestKSpaceSpikeNoised -get_data tests/test_rand_weighted_crop.py /^def get_data(ndim):$/;" f -get_data tests/test_rand_weighted_cropd.py /^def get_data(ndim):$/;" f -get_data tests/test_testtimeaugmentation.py /^ def get_data(num_examples, input_size, data_type=np.asarray, include_label=True):$/;" m class:TestTestTimeAugmentation -get_data() (monai.apps.reconstruction.fastmri_reader.fastmrireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data() (monai.data.imagereader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data() (monai.data.itkreader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data() (monai.data.nibabelreader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data() (monai.data.nrrdreader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data() (monai.data.numpyreader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data() (monai.data.pilreader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data_src docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_data_src monai/apps/auto3dseg/bundle_gen.py /^ def get_data_src(self):$/;" m class:BundleGen -get_data_src() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data_stat docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_data_stats monai/apps/auto3dseg/bundle_gen.py /^ def get_data_stats(self):$/;" m class:BundleGen -get_data_stats monai/auto3dseg/algo_gen.py /^ def get_data_stats(self, *args, **kwargs):$/;" m class:AlgoGen -get_data_stats monai/fl/client/client_algo.py /^ def get_data_stats(self, extra: dict | None = None) -> ExchangeObject:$/;" m class:ClientAlgoStats typeref:typename:ExchangeObject -get_data_stats monai/fl/client/monai_algo.py /^ def get_data_stats(self, extra: dict | None = None) -> ExchangeObject:$/;" m class:MonaiAlgoStats typeref:typename:ExchangeObject -get_data_stats() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data_stats() (monai.auto3dseg.algogen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data_stats() (monai.fl.client.clientalgostats method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_data_stats() (monai.fl.client.monaialgostats method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_dataset docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_dataset monai/apps/datasets.py /^ def get_dataset(self, folds: Sequence[int] | int, **dataset_params: Any) -> object:$/;" m class:CrossValidation typeref:typename:object -get_dataset() (monai.apps.crossvalidation method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_deconv_block monai/networks/blocks/localnet_block.py /^def get_deconv_block(spatial_dims: int, in_channels: int, out_channels: int) -> nn.Module:$/;" f typeref:typename:nn.Module -get_deconv_block monai/networks/blocks/regunet_block.py /^def get_deconv_block(spatial_dims: int, in_channels: int, out_channels: int) -> nn.Module:$/;" f typeref:typename:nn.Module -get_deep_supervision_heads monai/networks/nets/dynunet.py /^ def get_deep_supervision_heads(self):$/;" m class:DynUNet -get_default_affin docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_default_affine monai/data/meta_tensor.py /^ def get_default_affine(dtype=torch.float64) -> torch.Tensor:$/;" m class:MetaTensor typeref:typename:torch.Tensor -get_default_applied_oper docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_default_applied_operations monai/data/meta_obj.py /^ def get_default_applied_operations() -> list:$/;" m class:MetaObj typeref:typename:list -get_default_applied_operations() (monai.data.meta_obj.metaobj static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_default_meta docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_default_meta monai/data/meta_obj.py /^ def get_default_meta() -> dict:$/;" m class:MetaObj typeref:typename:dict -get_default_meta() (monai.data.meta_obj.metaobj static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_default_pattern tests/runner.py /^def get_default_pattern(loader):$/;" f -get_devices_spec docs/build/html/_modules/monai/engines/utils.html /^<div class="viewcode-block" id="get_devices_spec">$/;" I -get_devices_spec docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_devices_spec monai/engines/utils.py /^def get_devices_spec(devices: Sequence[torch.device | str] | None = None) -> list[torch.device]:$/;" f typeref:typename:list[torch.device] -get_devices_spec() (in module monai.engines.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_dir docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_dist_devic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_dist_device docs/build/html/_modules/monai/utils/dist.html /^<div class="viewcode-block" id="get_dist_device">$/;" I -get_dist_device monai/utils/dist.py /^def get_dist_device():$/;" f -get_dist_device() (in module monai.utils.dist) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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monai/utils/type_conversion.py /^def get_dtype_bound_value(dtype: DtypeLike | torch.dtype) -> tuple[float, float]:$/;" f typeref:typename:tuple[float,float] -get_edge_surface_distance monai/metrics/utils.py /^def get_edge_surface_distance($/;" f typeref:typename:tuple[tuple[torch.Tensor,torch.Tensor],tuple[torch.Tensor,torch.Tensor]|tuple[torch.Tensor],tuple[torch.Tensor,torch.Tensor]|tuple[()],] -get_efficientnet_image_s docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_efficientnet_image_size monai/networks/nets/efficientnet.py /^def get_efficientnet_image_size(model_name: str) -> int:$/;" f typeref:typename:int -get_encoder_names monai/networks/blocks/encoder.py /^ def get_encoder_names(cls) -> list[str]:$/;" m class:BaseEncoder typeref:typename:list[str] -get_encoder_names monai/networks/nets/efficientnet.py /^ def get_encoder_names(cls) -> list[str]:$/;" m class:EfficientNetEncoder typeref:typename:list[str] -get_encoder_names tests/test_flexible_unet.py /^ def get_encoder_names(cls):$/;" m class:DummyEncoder -get_encoder_names tests/test_flexible_unet.py /^ def get_encoder_names(cls):$/;" m class:ResNetEncoder -get_encoder_parameters monai/networks/blocks/encoder.py /^ def get_encoder_parameters(cls) -> list[dict]:$/;" m class:BaseEncoder typeref:typename:list[dict] -get_encoder_parameters monai/networks/nets/efficientnet.py /^ def get_encoder_parameters(cls) -> list[dict]:$/;" m class:EfficientNetEncoder typeref:typename:list[dict] -get_encoder_parameters tests/test_flexible_unet.py /^ def get_encoder_parameters(cls) -> list[dict]:$/;" m class:ResNetEncoder typeref:typename:list[dict] -get_encoder_parameters tests/test_flexible_unet.py /^ def get_encoder_parameters(cls):$/;" m class:DummyEncoder -get_ensembl docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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/^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_event monai/handlers/nvtx_handlers.py /^ def get_event(self, event: str | Events) -> Events:$/;" m class:RangeHandler typeref:typename:Events -get_event_filter tests/test_handler_mlflow.py /^def get_event_filter(e):$/;" f -get_event_filter tests/test_handler_stats.py /^def get_event_filter(e):$/;" f -get_event_filter tests/test_handler_tb_stats.py /^def get_event_filter(e):$/;" f -get_expected_model_shape tests/test_efficientnet.py /^def get_expected_model_shape(model_name):$/;" f -get_extensions setup.py /^def get_extensions():$/;" f -get_extra_metadata_kei docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_extra_metadata_keys docs/build/html/_modules/monai/data/utils.html /^<div 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monai.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_foreground_label docs/build/html/_modules/monai/auto3dseg/utils.html /^<div class="viewcode-block" id="get_foreground_label">$/;" I -get_foreground_label docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_foreground_label monai/auto3dseg/utils.py /^def get_foreground_label(image: MetaTensor, label: MetaTensor) -> MetaTensor:$/;" f typeref:typename:MetaTensor -get_foreground_label() (in module monai.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_fps monai/data/video_dataset.py /^ def get_fps(self) -> int:$/;" m class:VideoDataset typeref:typename:int -get_frame monai/data/video_dataset.py /^ def get_frame(self) -> Any:$/;" m class:VideoDataset typeref:typename:Any -get_full_type_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_full_type_name docs/build/html/_modules/monai/utils/module.html /^<div class="viewcode-block" id="get_full_type_name">$/;" I -get_full_type_name monai/utils/module.py /^def get_full_type_name(typeobj):$/;" f -get_full_type_name() (in module monai.utils.module) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_fully_sampled_region docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_fully_sampled_region monai/apps/reconstruction/networks/nets/coil_sensitivity_model.py /^ def get_fully_sampled_region(self, mask: Tensor) -> tuple[int, int]:$/;" m class:CoilSensitivityModel typeref:typename:tuple[int,int] -get_fully_sampled_region() (monai.apps.reconstruction.networks.nets.coil_sensitivity_model.coilsensitivitymodel method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_gpu_info monai/config/deviceconfig.py /^def get_gpu_info() -> OrderedDict:$/;" f typeref:typename:OrderedDict -get_grad monai/visualize/gradient_based.py /^ def get_grad($/;" m class:VanillaGrad typeref:typename:torch.Tensor -get_graph_node_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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property:anonymousObject06adab590105.indexentries -get_hyperparameters() (monai.apps.auto3dseg.optunagen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_id docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_id monai/bundle/config_item.py /^ def get_id(self) -> str:$/;" m class:ConfigItem typeref:typename:str -get_id() (monai.bundle.configitem method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_identity_grid docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_identity_grid monai/transforms/spatial/array.py /^ def get_identity_grid(self, spatial_size: Sequence[int], lazy: bool):$/;" m class:RandAffine -get_identity_grid() (monai.transforms.randaffine method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_im tests/test_meta_tensor.py /^ def get_im(shape=None, dtype=None, device=None):$/;" m class:TestMetaTensor -get_im tests/test_to_from_meta_tensord.py /^ def get_im(shape=None, dtype=None, device=None):$/;" m class:TestToFromMetaTensord -get_image tests/test_inverse_array.py /^ def get_image(dtype, device) -> MetaTensor:$/;" m class:TestInverseArray typeref:typename:MetaTensor -get_images monai/transforms/utils_create_transform_ims.py /^def get_images(data, is_label=False):$/;" f -get_index_of_first docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_index_of_first monai/transforms/compose.py /^ def get_index_of_first(self, predicate):$/;" m class:Compose -get_index_of_first() (monai.transforms.compose method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_indic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_indices monai/apps/datasets.py /^ def get_indices(self) -> np.ndarray:$/;" m class:DecathlonDataset typeref:typename:np.ndarray -get_indices monai/apps/datasets.py /^ def get_indices(self) -> np.ndarray:$/;" m class:TciaDataset typeref:typename:np.ndarray -get_indices() (monai.apps.decathlondataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_indices() (monai.apps.tciadataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_infer docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_inferer monai/apps/auto3dseg/bundle_gen.py /^ def get_inferer(self, *args, **kwargs):$/;" m class:BundleAlgo -get_inferer() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_inplan 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tuple:$/;" m class:Splitter typeref:typename:tuple -get_input_shape monai/inferers/splitter.py /^ def get_input_shape(self, inputs: Any) -> tuple:$/;" m class:WSISlidingWindowSplitter typeref:typename:tuple -get_input_shape() (monai.inferers.slidingwindowsplitter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_input_shape() (monai.inferers.splitter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_input_shape() (monai.inferers.wsislidingwindowsplitter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_iou_thresholds monai/apps/detection/metrics/coco.py /^ def get_iou_thresholds(self) -> Sequence[float]:$/;" m class:COCOMetric typeref:typename:Sequence[float] -get_item docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_item monai/bundle/reference_resolver.py /^ def get_item(self, id: str, resolve: bool = False, **kwargs: Any) -> ConfigItem | None:$/;" m class:ReferenceResolver typeref:typename:ConfigItem|None -get_item() (monai.bundle.referenceresolver method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_itk_image_cent docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_itk_image_center docs/build/html/_modules/monai/data/itk_torch_bridge.html /^<div class="viewcode-block" id="get_itk_image_center">$/;" I -get_itk_image_center monai/data/itk_torch_bridge.py /^def get_itk_image_center(image):$/;" f -get_itk_image_center() (in module monai.data.itk_torch_bridge) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_kernel_vol monai/losses/image_dissimilarity.py /^ def get_kernel_vol(self):$/;" m class:LocalNormalizedCrossCorrelationLoss -get_keywords monai/_version.py /^def get_keywords():$/;" f -get_label_ccp docs/build/html/_modules/monai/auto3dseg/utils.html /^<div class="viewcode-block" id="get_label_ccp">$/;" I -get_label_ccp docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_label_ccp 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monai/transforms/utils.py /^def get_largest_connected_component_mask($/;" f typeref:typename:NdarrayTensor -get_largest_connected_component_mask() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_last_lr docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_lay docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_layer monai/visualize/class_activation_maps.py /^ def get_layer(self, layer_id: str | Callable[[nn.Module], nn.Module]) -> nn.Module:$/;" m class:ModelWithHooks typeref:typename:nn.Module -get_layer() (monai.visualize.class_activation_maps.modelwithhooks method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_level_count docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_level_count monai/data/wsi_reader.py /^ def get_level_count(self, wsi) -> int:$/;" m class:BaseWSIReader typeref:typename:int -get_level_count monai/data/wsi_reader.py /^ def get_level_count(self, wsi) -> int:$/;" m class:WSIReader typeref:typename:int -get_level_count monai/data/wsi_reader.py /^ def get_level_count(wsi) -> int:$/;" m class:CuCIMWSIReader typeref:typename:int -get_level_count monai/data/wsi_reader.py /^ def get_level_count(wsi) -> int:$/;" m class:OpenSlideWSIReader typeref:typename:int -get_level_count monai/data/wsi_reader.py /^ def get_level_count(wsi) -> int:$/;" m class:TiffFileWSIReader typeref:typename:int -get_level_count() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_level_count() (monai.data.cucimwsireader static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_level_count() (monai.data.openslidewsireader static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_level_count() (monai.data.tifffilewsireader static method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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property:anonymousObject06adab590105.indexentries -get_lr monai/optimizers/lr_scheduler.py /^ def get_lr(self):$/;" m class:ExponentialLR -get_lr monai/optimizers/lr_scheduler.py /^ def get_lr(self):$/;" m class:LinearLR -get_lr monai/optimizers/lr_scheduler.py /^ def get_lr(self):$/;" m class:WarmupCosineSchedule -get_lrs_and_loss docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_lrs_and_losses monai/optimizers/lr_finder.py /^ def get_lrs_and_losses(self, skip_start: int = 0, skip_end: int = 0) -> tuple[list, list]:$/;" m class:LearningRateFinder typeref:typename:tuple[list,list] -get_lrs_and_losses() (monai.optimizers.learningratefinder method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_mask_edg docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_mask_edges docs/build/html/_modules/monai/metrics/utils.html /^<div class="viewcode-block" id="get_mask_edges">$/;" I -get_mask_edges monai/metrics/utils.py /^def get_mask_edges($/;" f typeref:typename:tuple[NdarrayTensor,NdarrayTensor] -get_mask_edges() (in module monai.metrics.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_max_roi_size monai/transforms/croppad/array.py /^ def get_max_roi_size(self, img_size):$/;" m class:RandScaleCrop -get_medicalnet_pretrained_resnet_args monai/networks/nets/resnet.py /^def get_medicalnet_pretrained_resnet_args(resnet_depth: int):$/;" f -get_meta_file monai/bundle/workflows.py /^ def get_meta_file(self):$/;" m class:BundleWorkflow -get_meta_info docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_meta_info monai/data/image_writer.py /^ def get_meta_info(cls, metadata: Mapping | None = None):$/;" m class:ImageWriter -get_meta_info monai/data/image_writer.py /^ def get_meta_info(cls, metadata: Mapping | None = None):$/;" m class:PILWriter -get_meta_info() (monai.data.imagewriter class method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_meta_info() (monai.data.pilwriter class method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_mlflow_experiment_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_mlflow_experiment_name monai/apps/auto3dseg/bundle_gen.py /^ def get_mlflow_experiment_name(self):$/;" m class:BundleGen -get_mlflow_experiment_name() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_mlflow_tracking_uri docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_mlflow_tracking_uri monai/apps/auto3dseg/bundle_gen.py /^ def get_mlflow_tracking_uri(self):$/;" m class:BundleGen -get_mlflow_tracking_uri() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_model_names tests/test_efficientnet.py /^def get_model_names():$/;" f -get_model_names tests/test_flexible_unet.py /^def get_model_names():$/;" f -get_model_spec monai/apps/mmars/mmars.py /^def get_model_spec(idx: int | str) -> dict | Any:$/;" f typeref:typename:dict|Any -get_module_list monai/networks/nets/dynunet.py /^ def get_module_list($/;" m class:DynUNet -get_most_recent_transform docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_most_recent_transform monai/transforms/inverse.py /^ def get_most_recent_transform(self, data, key: Hashable = None, check: bool = True, pop: boo/;" m class:TraceableTransform -get_most_recent_transform() (monai.transforms.traceabletransform method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_mpp docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_mpp monai/data/wsi_reader.py /^ def get_mpp(self, wsi, level: int) -> tuple[float, float]:$/;" m class:BaseWSIReader typeref:typename:tuple[float,float] -get_mpp monai/data/wsi_reader.py /^ def get_mpp(self, wsi, level: int) -> tuple[float, float]:$/;" m class:CuCIMWSIReader typeref:typename:tuple[float,float] -get_mpp monai/data/wsi_reader.py /^ def get_mpp(self, wsi, level: int) -> tuple[float, float]:$/;" m class:OpenSlideWSIReader typeref:typename:tuple[float,float] -get_mpp monai/data/wsi_reader.py /^ def get_mpp(self, wsi, level: int) -> tuple[float, float]:$/;" m class:TiffFileWSIReader typeref:typename:tuple[float,float] -get_mpp monai/data/wsi_reader.py /^ def get_mpp(self, wsi, level: int) -> tuple[float, float]:$/;" m class:WSIReader typeref:typename:tuple[float,float] -get_mpp() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_mpp() (monai.data.cucimwsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_mpp() (monai.data.openslidewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_mpp() (monai.data.tifffilewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_mpp() (monai.data.wsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_name monai/data/box_utils.py /^ def get_name(cls, spatial_dims: int) -> str:$/;" m class:BoxMode typeref:typename:str -get_name() (monai.data.box_utils.boxmode class method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_name_from_algo_id docs/build/html/_modules/monai/apps/auto3dseg/utils.html /^<div class="viewcode-block" id="get_name_from_algo_id">$/;" I -get_name_from_algo_id docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_name_from_algo_id monai/apps/auto3dseg/utils.py /^def get_name_from_algo_id(id: str) -> str:$/;" f typeref:typename:str -get_name_from_algo_id() (in module monai.apps.auto3dseg) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_norm_lay docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_norm_layer docs/build/html/_modules/monai/networks/layers/utils.html /^<div class="viewcode-block" id="get_norm_layer">$/;" I -get_norm_layer monai/networks/layers/utils.py /^def get_norm_layer(name: tuple | str, spatial_dims: int | None = 1, channels: int | None = 1):$/;" f -get_norm_layer() (in module monai.networks.layers.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_not_nan docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_num_class docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_num_classes monai/apps/datasets.py /^ def get_num_classes(self) -> int:$/;" m class:MedNISTDataset typeref:typename:int -get_num_classes() (monai.apps.mednistdataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_num_devic docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_num_devices monai/data/video_dataset.py /^ def get_num_devices() -> int:$/;" m class:CameraDataset typeref:typename:int -get_num_frames monai/data/video_dataset.py /^ def get_num_frames(self) -> int:$/;" m class:VideoFileDataset typeref:typename:int -get_num_modules tests/test_replace_module.py /^ def get_num_modules(self, mod: type[torch.nn.Module] | None = None) -> int:$/;" m class:TestReplaceModule typeref:typename:int -get_num_neg docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_num_neg monai/apps/detection/utils/hard_negative_sampler.py /^ def get_num_neg(self, negative: torch.Tensor, num_pos: int) -> int:$/;" m class:HardNegativeSampler typeref:typename:int -get_num_neg() (monai.apps.detection.utils.hard_negative_sampler.hardnegativesampler method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_num_po docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_num_pos monai/apps/detection/utils/hard_negative_sampler.py /^ def get_num_pos(self, positive: torch.Tensor) -> int:$/;" m class:HardNegativeSampler typeref:typename:int -get_num_pos() (monai.apps.detection.utils.hard_negative_sampler.hardnegativesampler method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_number_image_type_convers docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_number_image_type_conversions docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="get_number_image_type_conversions">$/;" I -get_number_image_type_conversions monai/transforms/utils.py /^def get_number_image_type_conversions(transform: Compose, test_data: Any, key: Hashable | None =/;" f typeref:typename:int -get_number_image_type_conversions() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_numpy_dtype_from_str docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_numpy_dtype_from_string docs/build/html/_modules/monai/utils/type_conversion.html /^<div class="viewcode-block" id="get_numpy_dtype_from_string">$/;" I -get_numpy_dtype_from_string monai/utils/type_conversion.py /^def get_numpy_dtype_from_string(dtype: str) -> np.dtype:$/;" f typeref:typename:np.dtype -get_numpy_dtype_from_string() (in module monai.utils.type_conversion) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_obj_filenam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_obj_filename monai/apps/auto3dseg/hpo_gen.py /^ def get_obj_filename(self):$/;" m class:NNIGen -get_obj_filename monai/apps/auto3dseg/hpo_gen.py /^ def get_obj_filename(self):$/;" m class:OptunaGen -get_obj_filename() (monai.apps.auto3dseg.nnigen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_obj_filename() (monai.apps.auto3dseg.optunagen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_optional_config_values monai/config/deviceconfig.py /^def get_optional_config_values():$/;" f -get_output docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_output monai/inferers/merger.py /^ def get_output(self) -> torch.Tensor:$/;" m class:AvgMerger typeref:typename:torch.Tensor -get_output monai/inferers/merger.py /^ def get_output(self) -> zarr.Array:$/;" m class:ZarrAvgMerger typeref:typename:zarr.Array -get_output() (monai.inferers.avgmerger method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_output() (monai.inferers.zarravgmerger method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_output_block monai/networks/nets/dynunet.py /^ def get_output_block(self, idx: int):$/;" m class:DynUNet -get_output_padding monai/networks/blocks/dynunet_block.py /^def get_output_padding($/;" f typeref:typename:tuple[int,...]|int -get_output_path docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_output_path monai/apps/auto3dseg/bundle_gen.py /^ def get_output_path(self):$/;" m class:BundleAlgo -get_output_path monai/auto3dseg/algo_gen.py /^ def get_output_path(self, *args, **kwargs):$/;" m class:Algo -get_output_path() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_output_path() (monai.auto3dseg.algo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_package_vers docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_package_version docs/build/html/_modules/monai/utils/module.html /^<div class="viewcode-block" id="get_package_version">$/;" I -get_package_version monai/utils/module.py /^def get_package_version(dep_name, default="NOT INSTALLED or UNKNOWN VERSION."):$/;" f -get_package_version() (in module monai.utils.module) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_padded_shap docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_padded_shape monai/inferers/splitter.py /^ def get_padded_shape(self, inputs: Any) -> tuple:$/;" m class:SlidingWindowSplitter typeref:typename:tuple -get_padded_shape monai/inferers/splitter.py /^ def get_padded_shape(self, inputs: Any) -> tuple:$/;" m class:Splitter typeref:typename:tuple -get_padded_shape() (monai.inferers.slidingwindowsplitter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_padded_shape() (monai.inferers.splitter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_padding monai/networks/blocks/dynunet_block.py /^def get_padding(kernel_size: Sequence[int] | int, stride: Sequence[int] | int) -> tuple[int, .../;" f typeref:typename:tuple[int,...]|int -get_parsed_cont docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_parsed_content monai/bundle/config_parser.py /^ def get_parsed_content(self, id: str = "", **kwargs: Any) -> Any:$/;" m class:ConfigParser typeref:typename:Any -get_parsed_content() (monai.bundle.configparser method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_patches_and_signals monai/apps/nuclick/transforms.py /^ def get_patches_and_signals(self, img, click_map, bounding_boxes, cx, cy, x, y):$/;" m class:AddClickSignalsd -get_pool_lay docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_pool_layer docs/build/html/_modules/monai/networks/layers/utils.html /^<div class="viewcode-block" id="get_pool_layer">$/;" I -get_pool_layer monai/networks/layers/utils.py /^def get_pool_layer(name: tuple | str, spatial_dims: int | None = 1):$/;" f -get_pool_layer() (in module monai.networks.layers.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_pow docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_power monai/data/wsi_reader.py /^ def get_power(self, wsi, level: int) -> float:$/;" m class:BaseWSIReader typeref:typename:float -get_power monai/data/wsi_reader.py /^ def get_power(self, wsi, level: int) -> float:$/;" m class:CuCIMWSIReader typeref:typename:float -get_power monai/data/wsi_reader.py /^ def get_power(self, wsi, level: int) -> float:$/;" m class:OpenSlideWSIReader typeref:typename:float -get_power monai/data/wsi_reader.py /^ def get_power(self, wsi, level: int) -> float:$/;" m class:TiffFileWSIReader typeref:typename:float -get_power monai/data/wsi_reader.py /^ def get_power(self, wsi, level: int) -> float:$/;" m class:WSIReader typeref:typename:float -get_power() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_power() (monai.data.cucimwsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_power() (monai.data.openslidewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_power() (monai.data.tifffilewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_power() (monai.data.wsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_pretrained_resnet_medicalnet monai/networks/nets/resnet.py /^def get_pretrained_resnet_medicalnet(resnet_depth: int, device: str = "cpu", datasets23: bool = /;" f -get_prob_a docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_prob_a monai/networks/nets/dints.py /^ def get_prob_a(self, child: bool = False):$/;" m class:TopologySearch -get_prob_a() (monai.networks.nets.topologysearch method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_properti docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_properties monai/apps/datasets.py /^ def get_properties(self, keys: Sequence[str] | str | None = None) -> dict:$/;" m class:DecathlonDataset typeref:typename:dict -get_properties() (monai.apps.decathlondataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_ram_cost_usag docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_ram_cost_usage monai/networks/nets/dints.py /^ def get_ram_cost_usage(self, in_size, full: bool = False):$/;" m class:TopologySearch -get_ram_cost_usage() (monai.networks.nets.topologysearch method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_rand_fname tests/test_resample_to_match.py /^def get_rand_fname(len=10, suffix=".nii.gz"):$/;" f -get_random_patch docs/build/html/_modules/monai/data/utils.html /^<div class="viewcode-block" id="get_random_patch">$/;" I -get_random_patch docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_random_patch monai/data/utils.py /^def get_random_patch($/;" f typeref:typename:tuple[slice,...] -get_random_patch() (in module monai.data.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_rank docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_reference_grid monai/networks/blocks/warp.py /^ def get_reference_grid(self, ddf: torch.Tensor, jitter: bool = False, seed: int = 0) -> torc/;" m class:Warp typeref:typename:torch.Tensor -get_reference_grid monai/networks/nets/regunet.py /^ def get_reference_grid(image_size: tuple[int] | list[int]) -> torch.Tensor:$/;" m class:AffineHead typeref:typename:torch.Tensor -get_report_format docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_report_format monai/auto3dseg/analyzer.py /^ def get_report_format(self) -> dict:$/;" m class:Analyzer typeref:typename:dict -get_report_format() (monai.auto3dseg.analyzer method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_resnet_names tests/test_flexible_unet.py /^def get_resnet_names():$/;" f -get_resolved_cont docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_resolved_content monai/bundle/reference_resolver.py /^ def get_resolved_content(self, id: str, **kwargs: Any) -> ConfigExpression | str | Any | Non/;" m class:ReferenceResolver typeref:typename:ConfigExpression|str|Any|None -get_resolved_content() (monai.bundle.referenceresolver method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_result docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_result_from_inner_block docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_result_from_inner_blocks monai/networks/blocks/feature_pyramid_network.py /^ def get_result_from_inner_blocks(self, x: Tensor, idx: int) -> Tensor:$/;" m class:FeaturePyramidNetwork typeref:typename:Tensor -get_result_from_inner_blocks() (monai.networks.blocks.featurepyramidnetwork method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_result_from_layer_block docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_result_from_layer_blocks monai/networks/blocks/feature_pyramid_network.py /^ def get_result_from_layer_blocks(self, x: Tensor, idx: int) -> Tensor:$/;" m class:FeaturePyramidNetwork typeref:typename:Tensor -get_result_from_layer_blocks() (monai.networks.blocks.featurepyramidnetwork method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_results monai/utils/profiling.py /^ def get_results(self):$/;" m class:WorkflowProfiler -get_results() (monai.utils.profiling.workflowprofiler method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_root versioneer.py /^def get_root():$/;" f -get_sav docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_saver monai/transforms/post/dictionary.py /^ def get_saver(self):$/;" m class:SaveClassificationd -get_saver() (monai.transforms.saveclassificationd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_scor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_score monai/apps/auto3dseg/bundle_gen.py /^ def get_score(self, *args, **kwargs):$/;" m class:BundleAlgo -get_score monai/auto3dseg/algo_gen.py /^ def get_score(self, *args, **kwargs):$/;" m class:Algo -get_score() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_score() (monai.auto3dseg.algo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_seed monai/utils/misc.py /^def get_seed() -> int | None:$/;" f typeref:typename:int|None -get_seed_and_labels monai/data/ultrasound_confidence_map.py /^ def get_seed_and_labels($/;" m class:UltrasoundConfidenceMap typeref:typename:tuple[NDArray,NDArray] -get_selay docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_selayer monai/networks/nets/quicknat.py /^ def get_selayer(self, n_filters, se_block_type="None"):$/;" m class:Quicknat -get_selayer() (monai.networks.nets.quicknat method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_siz docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_size monai/data/wsi_reader.py /^ def get_size(self, wsi, level: int) -> tuple[int, int]:$/;" m class:BaseWSIReader typeref:typename:tuple[int,int] -get_size monai/data/wsi_reader.py /^ def get_size(self, wsi, level: int) -> tuple[int, int]:$/;" m class:CuCIMWSIReader typeref:typename:tuple[int,int] -get_size monai/data/wsi_reader.py /^ def get_size(self, wsi, level: int) -> tuple[int, int]:$/;" m class:OpenSlideWSIReader typeref:typename:tuple[int,int] -get_size monai/data/wsi_reader.py /^ def get_size(self, wsi, level: int) -> tuple[int, int]:$/;" m class:TiffFileWSIReader typeref:typename:tuple[int,int] -get_size monai/data/wsi_reader.py /^ def get_size(self, wsi, level: int) -> tuple[int, int]:$/;" m class:WSIReader typeref:typename:tuple[int,int] -get_size() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_size() (monai.data.cucimwsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_size() (monai.data.openslidewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_size() (monai.data.tifffilewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_size() (monai.data.wsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_stats monai/engines/evaluator.py /^ def get_stats(self, *vars):$/;" m class:Evaluator -get_stats monai/engines/trainer.py /^ def get_stats(self, *vars):$/;" m class:Trainer -get_stats monai/engines/workflow.py /^ def get_stats(self, *vars):$/;" m class:Workflow -get_stats() (monai.engines.evaluator method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_stats() (monai.engines.trainer method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_stats() (monai.engines.workflow method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_steepest_gradi docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_steepest_gradient monai/optimizers/lr_finder.py /^ def get_steepest_gradient(self, skip_start: int = 0, skip_end: int = 0) -> tuple[float, floa/;" m class:LearningRateFinder typeref:typename:tuple[float,float]|tuple[None,None] -get_steepest_gradient() (monai.optimizers.learningratefinder method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_surface_dist docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_surface_distance docs/build/html/_modules/monai/metrics/utils.html /^<div class="viewcode-block" id="get_surface_distance">$/;" I -get_surface_distance monai/metrics/utils.py /^def get_surface_distance($/;" f typeref:typename:NdarrayOrTensor -get_surface_distance() (in module monai.metrics.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_system_info docs/build/html/_modules/monai/config/deviceconfig.html /^<div class="viewcode-block" id="get_system_info">$/;" I -get_system_info docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_system_info monai/config/deviceconfig.py /^def get_system_info() -> OrderedDict:$/;" f typeref:typename:OrderedDict -get_system_info() (in module monai.config.deviceconfig) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_target_spacing monai/data/dataset_summary.py /^ def get_target_spacing(self, spacing_key: str = "affine", anisotropic_threshold: int = 3, pe/;" m class:DatasetSummary -get_target_tensor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_target_tensor monai/losses/adversarial_loss.py /^ def get_target_tensor(self, input: torch.Tensor, target_is_real: bool) -> torch.Tensor:$/;" m class:PatchAdversarialLoss typeref:typename:torch.Tensor -get_target_tensor() (monai.losses.patchadversarialloss method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_task_id docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_task_id monai/apps/auto3dseg/hpo_gen.py /^ def get_task_id(self):$/;" m class:NNIGen -get_task_id monai/apps/auto3dseg/hpo_gen.py /^ def get_task_id(self):$/;" m class:OptunaGen -get_task_id() (monai.apps.auto3dseg.nnigen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_task_id() (monai.apps.auto3dseg.optunagen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_tcia_metadata monai/apps/tcia/utils.py /^def get_tcia_metadata(query: str, attribute: str | 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property:anonymousObject06adab590105.indexentries -get_unique_label docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_unique_labels docs/build/html/_modules/monai/transforms/utils.html /^<div class="viewcode-block" id="get_unique_labels">$/;" I -get_unique_labels monai/transforms/utils.py /^def get_unique_labels(img: NdarrayOrTensor, is_onehot: bool, discard: int | Iterable[int] | None/;" f typeref:typename:set[int] -get_unique_labels() (in module monai.transforms.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_upsample_layer monai/networks/blocks/segresnet_block.py /^def get_upsample_layer($/;" f -get_upsamples monai/networks/nets/dynunet.py /^ def get_upsamples(self):$/;" m class:DynUNet -get_valid_level docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_valid_level monai/data/wsi_reader.py /^ def get_valid_level($/;" m class:BaseWSIReader typeref:typename:int -get_valid_level() (monai.data.basewsireader method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_valid_patch_s docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_valid_patch_size docs/build/html/_modules/monai/data/utils.html /^<div class="viewcode-block" id="get_valid_patch_size">$/;" I -get_valid_patch_size monai/data/utils.py /^def get_valid_patch_size(image_size: Sequence[int], patch_size: Sequence[int] | int | np.ndarray/;" f typeref:typename:tuple[int,...] -get_valid_patch_size() (in module monai.data.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_valu docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -get_value tests/test_handler_parameter_scheduler.py /^ def get_value(self):$/;" m class:ToyNet -get_values monai/inferers/merger.py /^ def get_values(self) -> torch.Tensor:$/;" m class:AvgMerger typeref:typename:torch.Tensor -get_values monai/inferers/merger.py /^ def get_values(self) -> zarr.Array:$/;" m class:ZarrAvgMerger typeref:typename:zarr.Array -get_values() (monai.inferers.avgmerger method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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None = None) -> ExchangeObject:$/;" m class:ClientAlgo typeref:typename:ExchangeObject -get_weights monai/fl/client/monai_algo.py /^ def get_weights(self, extra=None):$/;" m class:MonaiAlgo -get_weights monai/losses/ds_loss.py /^ def get_weights(self, levels: int = 1) -> list[float]:$/;" m class:DeepSupervisionLoss typeref:typename:list[float] -get_weights() (monai.fl.client.clientalgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_weights() (monai.fl.client.monaialgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -get_weights() (monai.losses.deepsupervisionloss method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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void -interpolate1d_sliding_linear monai/csrc/resample/pushpull_cuda.cu /^ MONAI_DEVICE void interpolate1d_sliding_linear(scalar_t x, offset_t w, offset_t n) const { \//;" f typeref:typename:MONAI_DEVICE void -interpolate1d_sliding_nearest monai/csrc/resample/pushpull_cuda.cu /^ MONAI_DEVICE void interpolate1d_sliding_nearest(scalar_t x, offset_t w, offset_t n) const { /;" f typeref:typename:MONAI_DEVICE void -interpolate2d monai/csrc/resample/pushpull_cuda.cu /^ MONAI_DEVICE void PushPullImpl<scalar_t, offset_t>::interpolate2d($/;" f typeref:typename:template<typename scalar_t,typename offset_t> MONAI_DEVICE void PushPullImpl<scalar_t,offset_t>:: -interpolate2d_bilinear monai/csrc/resample/pushpull_cuda.cu /^ MONAI_DEVICE void PushPullImpl<scalar_t, offset_t>::interpolate2d_bilinear($/;" f typeref:typename:template<typename scalar_t,typename offset_t> MONAI_DEVICE void PushPullImpl<scalar_t,offset_t>:: -interpolate2d_nearest monai/csrc/resample/pushpull_cuda.cu /^ MONAI_DEVICE void 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.apps.mednistdataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.apps.tciadataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.data.arraydataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.data.imagedataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.data.shufflebuffer method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.data.smartcachedataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.addextremepointschannel method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.addextremepointschanneld method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.compose method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.rand2delastic method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.rand3delastic method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randadjustcontrast method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", 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property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randcoarsetransform method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randcropbylabelclasses method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randcropbylabelclassesd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randcropbyposneglabel method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randcropbyposneglabeld method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randcropd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randdeformgrid method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randgaussiannoise method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randgaussiansharpen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randgaussiansmooth method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randgibbsnoise method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randgriddistortion method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randomizabletransform method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randrotate method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randrotate90 method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randrotate90d method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randscalecrop method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randscaleintensity method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randscaleintensityfixedmean method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randshiftintensity method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randsimulatelowresolution method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randsmoothdeform method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randsmoothdeformd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randsmoothfieldadjustcontrast method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randsmoothfieldadjustcontrastd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randsmoothfieldadjustintensity method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randsmoothfieldadjustintensityd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randspatialcrop method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randspatialcropsamples method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randspatialcropsamplesd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randstdshiftintensity method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randweightedcrop method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randweightedcropd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize() (monai.transforms.randzoom method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomize_choose_acceler docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randomize_choose_acceleration monai/apps/reconstruction/transforms/array.py /^ def randomize_choose_acceleration(self) -> Sequence[float]:$/;" m class:KspaceMask typeref:typename:Sequence[float] -randomize_choose_acceleration() (monai.apps.reconstruction.transforms.array.kspacemask method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomized_pop docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randomized_pop monai/data/iterable_dataset.py /^ def randomized_pop(self, buffer):$/;" m class:ShuffleBuffer -randomized_pop() (monai.data.shufflebuffer method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomkspacemask docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randomkspacemask (class in monai.apps.reconstruction.transforms.array) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomkspacemaskd docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randomkspacemaskd (class in monai.apps.reconstruction.transforms.dictionary) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomli docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randommaskfunc docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randomord docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -randomorder docs/build/html/transforms.html /^<section id="randomorder">$/;" I -randomorder (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randomst docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randomtrait docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randrangepop docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -randrangepop docs/build/html/transforms.html /^<section id="randrangepop">$/;" I -randrangepop (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randrangepush docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -randrangepush docs/build/html/transforms.html /^<section id="randrangepush">$/;" I -randrangepush (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randriciannois docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -randriciannoise docs/build/html/transforms.html /^<section id="randriciannoise">$/;" I -randriciannoise (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randriciannoised docs/build/html/transforms.html /^<section id="randriciannoised">$/;" I -randriciannoised (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randrot docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randrot docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -randrotate docs/build/html/transforms.html /^<section id="randrotate">$/;" I -randrotate (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randrotate90 docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -randrotate90 docs/build/html/transforms.html /^<section id="randrotate90">$/;" I -randrotate90 (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randrotate90d docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randrotate90d docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -randrotate90d docs/build/html/transforms.html /^<section id="randrotate90d">$/;" I -randrotate90d (class in monai.transforms) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -randrotatebox90d docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -randrotatebox90d 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/^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -resnet101 monai/networks/nets/resnet.py /^def resnet101(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet:$/;" f typeref:typename:ResNet -resnet152 docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -resnet152 monai/networks/nets/resnet.py /^def resnet152(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet:$/;" f typeref:typename:ResNet -resnet18 docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -resnet18 monai/networks/nets/resnet.py /^def resnet18(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet:$/;" f typeref:typename:ResNet -resnet200 monai/networks/nets/resnet.py /^def resnet200(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet:$/;" f typeref:typename:ResNet -resnet34 docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -resnet34 monai/networks/nets/resnet.py /^def resnet34(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet:$/;" f typeref:typename:ResNet -resnet50 docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -resnet50 monai/losses/perceptual.py /^ resnet50 = "resnet50"$/;" v class:PercetualNetworkType -resnet50 monai/networks/nets/resnet.py /^def resnet50(pretrained: bool = False, progress: bool = True, **kwargs: Any) -> ResNet:$/;" f typeref:typename:ResNet -resnet_fpn_feature_extractor docs/build/html/_modules/monai/apps/detection/networks/retinanet_network.html /^<div class="viewcode-block" id="resnet_fpn_feature_extractor">$/;" I -resnet_fpn_feature_extractor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -resnet_fpn_feature_extractor monai/apps/detection/networks/retinanet_network.py /^def resnet_fpn_feature_extractor($/;" f typeref:typename:BackboneWithFPN -resnet_fpn_feature_extractor() (in module monai.apps.detection.networks.retinanet_network) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -resnet_param docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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"_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -resolve_args monai/bundle/config_item.py /^ def resolve_args(self):$/;" m class:ConfigComponent -resolve_args() (monai.bundle.configcomponent method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -resolve_ev docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -resolve_events monai/handlers/nvtx_handlers.py /^ def resolve_events(self, events: str | tuple) -> tuple[Events, Events]:$/;" m class:RangeHandler typeref:typename:tuple[Events,Events] -resolve_events() (monai.handlers.nvtx_handlers.rangehandler method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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property:anonymousObject06adab590105.indexentries -resolve_writ docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -resolve_writer docs/build/html/_modules/monai/data/image_writer.html /^<div class="viewcode-block" id="resolve_writer">$/;" I -resolve_writer docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.alltitles -resolve_writer docs/source/data.rst /^resolve_writer$/;" s chapter:Image writer -resolve_writer monai/data/image_writer.py /^def resolve_writer(ext_name, error_if_not_found=True) -> Sequence:$/;" f typeref:typename:Sequence -resolve_writer# docs/build/html/data.html /^<h3>resolve_writer<a class="headerlink" href="#resolve-writer" title="Link to this heading">#<\//;" j -resolve_writer() (in module monai.data) 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_balanced_sampl docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_balanced_sampler monai/apps/detection/networks/retinanet_detector.py /^ def set_balanced_sampler(self, batch_size_per_image: int, positive_fraction: float) -> None:$/;" m class:RetinaNetDetector typeref:typename:None -set_balanced_sampler() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_box_coder_weight docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_box_coder_weights monai/apps/detection/networks/retinanet_detector.py /^ def set_box_coder_weights(self, weights: tuple[float]) -> None:$/;" m class:RetinaNetDetector typeref:typename:None -set_box_coder_weights() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_box_regression_loss docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_box_regression_loss monai/apps/detection/networks/retinanet_detector.py /^ def set_box_regression_loss(self, box_loss: nn.Module, encode_gt: bool, decode_pred: bool) -/;" m class:RetinaNetDetector typeref:typename:None -set_box_regression_loss() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_box_selector_paramet docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_box_selector_parameters monai/apps/detection/networks/retinanet_detector.py /^ def set_box_selector_parameters($/;" m class:RetinaNetDetector typeref:typename:None -set_box_selector_parameters() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_budget docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_budget monai/auto3dseg/algo_gen.py /^ def set_budget(self, *args, **kwargs):$/;" m class:AlgoGen -set_budget() (monai.auto3dseg.algogen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_cell_anchor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_cell_anchors monai/apps/detection/utils/anchor_utils.py /^ def set_cell_anchors(self, dtype: torch.dtype, device: torch.device) -> None:$/;" m class:AnchorGenerator typeref:typename:None -set_cell_anchors() (monai.apps.detection.utils.anchor_utils.anchorgenerator method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_cls_loss docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_cls_loss monai/apps/detection/networks/retinanet_detector.py /^ def set_cls_loss(self, cls_loss: nn.Module) -> None:$/;" m class:RetinaNetDetector typeref:typename:None -set_cls_loss() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_data monai/data/dataset.py /^ def set_data(self, data: Sequence) -> None:$/;" m class:CacheDataset typeref:typename:None -set_data monai/data/dataset.py /^ def set_data(self, data: Sequence):$/;" m class:LMDBDataset -set_data monai/data/dataset.py /^ def set_data(self, data: Sequence):$/;" m class:PersistentDataset -set_data monai/data/dataset.py /^ def set_data(self, data: Sequence):$/;" m class:SmartCacheDataset -set_data monai/data/grid_dataset.py /^ def set_data(self, data: Sequence) -> None:$/;" m class:GridPatchDataset typeref:typename:None -set_data() (monai.data.cachedataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data() (monai.data.gridpatchdataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data() (monai.data.lmdbdataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data() (monai.data.persistentdataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data() (monai.data.smartcachedataset method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data_arrai docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_data_array monai/data/image_writer.py /^ def set_data_array($/;" m class:ITKWriter -set_data_array monai/data/image_writer.py /^ def set_data_array($/;" m class:NibabelWriter -set_data_array monai/data/image_writer.py /^ def set_data_array($/;" m class:PILWriter -set_data_array monai/data/image_writer.py /^ def set_data_array(self, data_array, **kwargs):$/;" m class:ImageWriter -set_data_array() (monai.data.itkwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data_array() (monai.data.nibabelwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data_array() (monai.data.pilwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data_sourc docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_data_source monai/apps/auto3dseg/bundle_gen.py /^ def set_data_source(self, data_src_cfg: str) -> None:$/;" m class:BundleAlgo typeref:typename:None -set_data_source() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data_src docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_data_src monai/apps/auto3dseg/bundle_gen.py /^ def set_data_src(self, data_src_cfg_name):$/;" m class:BundleGen -set_data_src() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data_stat docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_data_stats monai/apps/auto3dseg/bundle_gen.py /^ def set_data_stats(self, data_stats_filename: str) -> None:$/;" m class:BundleGen typeref:typename:None -set_data_stats monai/apps/auto3dseg/bundle_gen.py /^ def set_data_stats(self, data_stats_files: str) -> None:$/;" m class:BundleAlgo typeref:typename:None -set_data_stats monai/auto3dseg/algo_gen.py /^ def set_data_stats(self, *args, **kwargs): # type ignore$/;" m class:AlgoGen -set_data_stats monai/auto3dseg/algo_gen.py /^ def set_data_stats(self, *args, **kwargs):$/;" m class:Algo -set_data_stats() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data_stats() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data_stats() (monai.auto3dseg.algo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_data_stats() (monai.auto3dseg.algogen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_determin docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_determinism docs/build/html/_modules/monai/utils/misc.html /^<div class="viewcode-block" id="set_determinism">$/;" I -set_determinism monai/utils/misc.py /^def set_determinism($/;" f typeref:typename:None -set_determinism() (in module monai.utils.misc) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_device monai/data/wsi_reader.py /^ def set_device(self, device):$/;" m class:BaseWSIReader -set_device monai/transforms/spatial/array.py /^ def set_device(self, device):$/;" m class:Rand2DElastic -set_device monai/transforms/spatial/array.py /^ def set_device(self, device):$/;" m class:Rand3DElastic -set_device_info docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_device_info monai/apps/auto3dseg/auto_runner.py /^ def set_device_info($/;" m class:AutoRunner typeref:typename:AutoRunner -set_device_info() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_dtype monai/data/wsi_reader.py /^ def set_dtype(self, dtype):$/;" m class:BaseWSIReader -set_ensemble_method docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_ensemble_method monai/apps/auto3dseg/auto_runner.py /^ def set_ensemble_method(self, ensemble_method_name: str = "AlgoEnsembleBestByFold", **kwargs/;" m class:AutoRunner typeref:typename:AutoRunner -set_ensemble_method monai/apps/auto3dseg/ensemble_builder.py /^ def set_ensemble_method(self, ensemble: AlgoEnsemble, *args: Any, **kwargs: Any) -> None:$/;" m class:AlgoEnsembleBuilder typeref:typename:None -set_ensemble_method monai/apps/auto3dseg/ensemble_builder.py /^ def set_ensemble_method(self, ensemble_method_name: str = "AlgoEnsembleBestByFold", **kwargs/;" m class:EnsembleRunner typeref:typename:None -set_ensemble_method() (monai.apps.auto3dseg.algoensemblebuilder method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_ensemble_method() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_ensemble_method() (monai.apps.auto3dseg.ensemblerunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_field_mode monai/transforms/smooth_field/array.py /^ def set_field_mode(self, mode: str) -> None:$/;" m class:RandSmoothDeform typeref:typename:None -set_float32_matmul_precis docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_gpu_custom docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_gpu_customization monai/apps/auto3dseg/auto_runner.py /^ def set_gpu_customization($/;" m class:AutoRunner typeref:typename:AutoRunner -set_gpu_customization() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_grid_mode monai/transforms/smooth_field/array.py /^ def set_grid_mode(self, mode: str) -> None:$/;" m class:RandSmoothDeform typeref:typename:None -set_hard_negative_sampl docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_hard_negative_sampler monai/apps/detection/networks/retinanet_detector.py /^ def set_hard_negative_sampler($/;" m class:RetinaNetDetector typeref:typename:None -set_hard_negative_sampler() (monai.apps.detection.networks.retinanet_detector.retinanetdetector method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_hpo_param docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_hpo_params monai/apps/auto3dseg/auto_runner.py /^ def set_hpo_params(self, params: dict[str, Any] | None = None) -> AutoRunner:$/;" m class:AutoRunner typeref:typename:AutoRunner -set_hpo_params() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_image_save_transform docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_image_save_transform monai/apps/auto3dseg/auto_runner.py /^ def set_image_save_transform(self, **kwargs: Any) -> AutoRunner:$/;" m class:AutoRunner typeref:typename:AutoRunner -set_image_save_transform monai/apps/auto3dseg/ensemble_builder.py /^ def set_image_save_transform(self, **kwargs: Any) -> None:$/;" m class:EnsembleRunner typeref:typename:None -set_image_save_transform() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_image_save_transform() (monai.apps.auto3dseg.ensemblerunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_infer_fil docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_infer_files monai/apps/auto3dseg/ensemble_builder.py /^ def set_infer_files(self, dataroot: str, data_list_or_path: str | list, data_key: str = "tes/;" m class:AlgoEnsemble typeref:typename:None -set_infer_files() (monai.apps.auto3dseg.algoensemble method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_metadata docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_metadata monai/data/image_writer.py /^ def set_metadata(self, meta_dict: Mapping | None = None, resample: bool = True, **options):$/;" m class:ITKWriter -set_metadata monai/data/image_writer.py /^ def set_metadata(self, meta_dict: Mapping | None = None, resample: bool = True, **options):$/;" m class:PILWriter -set_metadata monai/data/image_writer.py /^ def set_metadata(self, meta_dict: Mapping | None, **options):$/;" m class:ImageWriter -set_metadata monai/data/image_writer.py /^ def set_metadata(self, meta_dict: Mapping | None, resample: bool = True, **options):$/;" m class:NibabelWriter -set_metadata() (monai.data.itkwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_metadata() (monai.data.nibabelwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_metadata() (monai.data.pilwriter method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_mlflow_experiment_nam docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_mlflow_experiment_name monai/apps/auto3dseg/bundle_gen.py /^ def set_mlflow_experiment_name(self, mlflow_experiment_name):$/;" m class:BundleGen -set_mlflow_experiment_name monai/apps/auto3dseg/bundle_gen.py /^ def set_mlflow_experiment_name(self, mlflow_experiment_name: str | None) -> None:$/;" m class:BundleAlgo typeref:typename:None -set_mlflow_experiment_name() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_mlflow_experiment_name() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_mlflow_tracking_uri docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_mlflow_tracking_uri monai/apps/auto3dseg/bundle_gen.py /^ def set_mlflow_tracking_uri(self, mlflow_tracking_uri):$/;" m class:BundleGen -set_mlflow_tracking_uri monai/apps/auto3dseg/bundle_gen.py /^ def set_mlflow_tracking_uri(self, mlflow_tracking_uri: str | None) -> None:$/;" m class:BundleAlgo typeref:typename:None -set_mlflow_tracking_uri() (monai.apps.auto3dseg.bundlealgo method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_mlflow_tracking_uri() (monai.apps.auto3dseg.bundlegen method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_mode monai/transforms/smooth_field/array.py /^ def set_mode(self, mode: str) -> None:$/;" m class:RandSmoothFieldAdjustContrast typeref:typename:None -set_mode monai/transforms/smooth_field/array.py /^ def set_mode(self, mode: str) -> None:$/;" m class:RandSmoothFieldAdjustIntensity typeref:typename:None -set_mode monai/transforms/smooth_field/array.py /^ def set_mode(self, mode: str) -> None:$/;" m class:SmoothField typeref:typename:None -set_named_modul docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_named_module docs/build/html/_modules/monai/networks/utils.html /^<div class="viewcode-block" id="set_named_module">$/;" I -set_named_module monai/networks/utils.py /^def set_named_module(mod, name: str, new_layer):$/;" f -set_named_module() (in module monai.networks.utils) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_nni_search_spac docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_nni_search_space monai/apps/auto3dseg/auto_runner.py /^ def set_nni_search_space(self, search_space: dict[str, Any]) -> AutoRunner:$/;" m class:AutoRunner typeref:typename:AutoRunner -set_nni_search_space() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_num_fold docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_num_fold monai/apps/auto3dseg/auto_runner.py /^ def set_num_fold(self, num_fold: int = 5) -> AutoRunner:$/;" m class:AutoRunner typeref:typename:AutoRunner -set_num_fold monai/apps/auto3dseg/ensemble_builder.py /^ def set_num_fold(self, num_fold: int = 5) -> None:$/;" m class:EnsembleRunner typeref:typename:None -set_num_fold() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_num_fold() (monai.apps.auto3dseg.ensemblerunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_opt docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_options monai/transforms/io/array.py /^ def set_options(self, init_kwargs=None, data_kwargs=None, meta_kwargs=None, write_kwargs=Non/;" m class:SaveImage -set_options monai/transforms/io/dictionary.py /^ def set_options(self, init_kwargs=None, data_kwargs=None, meta_kwargs=None, write_kwargs=Non/;" m class:SaveImaged -set_options() (monai.transforms.saveimage method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_prediction_param docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_prediction_params monai/apps/auto3dseg/auto_runner.py /^ def set_prediction_params(self, params: dict[str, Any] | None = None) -> AutoRunner:$/;" m class:AutoRunner typeref:typename:AutoRunner -set_prediction_params() (monai.apps.auto3dseg.autorunner method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_st docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -set_random_state monai/apps/detection/transforms/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandFlipBoxd typeref:typename:RandFlipBoxd -set_random_state monai/apps/detection/transforms/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandZoomBoxd typeref:typename:RandZoomBoxd -set_random_state monai/apps/reconstruction/transforms/dictionary.py /^ def set_random_state($/;" m class:EquispacedKspaceMaskd typeref:typename:EquispacedKspaceMaskd -set_random_state monai/apps/reconstruction/transforms/dictionary.py /^ def set_random_state($/;" m class:RandomKspaceMaskd typeref:typename:RandomKspaceMaskd -set_random_state monai/transforms/compose.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Compose typeref:typename:Compose -set_random_state monai/transforms/croppad/array.py /^ def set_random_state($/;" m class:RandSpatialCropSamples typeref:typename:RandSpatialCropSamples -set_random_state monai/transforms/croppad/dictionary.py /^ def set_random_state($/;" m class:RandCropByLabelClassesd typeref:typename:RandCropByLabelClassesd -set_random_state monai/transforms/croppad/dictionary.py /^ def set_random_state($/;" m class:RandCropByPosNegLabeld typeref:typename:RandCropByPosNegLabeld -set_random_state monai/transforms/croppad/dictionary.py /^ def set_random_state($/;" m class:RandWeightedCropd typeref:typename:RandWeightedCropd -set_random_state monai/transforms/croppad/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandCropd typeref:typename:RandCropd -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandAdjustContrastd typeref:typename:RandAdjustContrastd -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandCoarseDropoutd typeref:typename:RandCoarseDropoutd -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandCoarseShuffled typeref:typename:RandCoarseShuffled -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandGaussianNoised typeref:typename:RandGaussianNoised -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandGaussianSharpend typeref:typename:RandGaussianSharpend -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandGaussianSmoothd typeref:typename:RandGaussianSmoothd -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandHistogramShiftd typeref:typename:RandHistogramShiftd -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandKSpaceSpikeNoised typeref:typename:RandKSpaceSpikeNoised -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandScaleIntensityFixedMeand typeref:typename:RandScaleIntensityFixedMeand -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandScaleIntensityd typeref:typename:RandScaleIntensityd -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandShiftIntensityd typeref:typename:RandShiftIntensityd -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state($/;" m class:RandStdShiftIntensityd typeref:typename:RandStdShiftIntensityd -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandBiasFieldd typeref:typename:RandBiasFieldd -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandGibbsNoised typeref:typename:RandGibbsNoised -set_random_state monai/transforms/intensity/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandRicianNoised typeref:typename:RandRicianNoised -set_random_state monai/transforms/smooth_field/array.py /^ def set_random_state($/;" m class:RandSmoothFieldAdjustContrast typeref:typename:RandSmoothFieldAdjustContrast -set_random_state monai/transforms/smooth_field/array.py /^ def set_random_state($/;" m class:RandSmoothFieldAdjustIntensity typeref:typename:RandSmoothFieldAdjustIntensity -set_random_state monai/transforms/smooth_field/array.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandSmoothDeform typeref:typename:Randomizable -set_random_state monai/transforms/smooth_field/dictionary.py /^ def set_random_state($/;" m class:RandSmoothDeformd typeref:typename:RandSmoothDeformd -set_random_state monai/transforms/smooth_field/dictionary.py /^ def set_random_state($/;" m class:RandSmoothFieldAdjustContrastd typeref:typename:RandSmoothFieldAdjustContrastd -set_random_state monai/transforms/smooth_field/dictionary.py /^ def set_random_state($/;" m class:RandSmoothFieldAdjustIntensityd typeref:typename:RandSmoothFieldAdjustIntensityd -set_random_state monai/transforms/spatial/array.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Rand2DElastic typeref:typename:Rand2DElastic -set_random_state monai/transforms/spatial/array.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Rand3DElastic typeref:typename:Rand3DElastic -set_random_state monai/transforms/spatial/array.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandAffine typeref:typename:RandAffine -set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state($/;" m class:RandGridDistortiond typeref:typename:RandGridDistortiond -set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state($/;" m class:RandSimulateLowResolutiond typeref:typename:RandSimulateLowResolutiond -set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Rand2DElasticd typeref:typename:Rand2DElasticd -set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Rand3DElasticd typeref:typename:Rand3DElasticd -set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandAffined typeref:typename:RandAffined -set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandAxisFlipd typeref:typename:RandAxisFlipd -set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandFlipd typeref:typename:RandFlipd -set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandGridPatchd typeref:typename:RandGridPatchd -set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandRotated typeref:typename:RandRotated -set_random_state monai/transforms/spatial/dictionary.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:RandZoomd typeref:typename:RandZoomd -set_random_state monai/transforms/transform.py /^ def set_random_state(self, seed: int | None = None, state: np.random.RandomState | None = No/;" m class:Randomizable typeref:typename:Randomizable -set_random_state() (monai.apps.detection.transforms.dictionary.randflipboxd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.apps.detection.transforms.dictionary.randzoomboxd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.compose method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.rand2delastic method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.rand2delasticd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.rand3delastic method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.rand3delasticd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randadjustcontrastd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randaffine method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randaffined method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randaxisflipd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randbiasfieldd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randcoarsedropoutd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randcoarseshuffled method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randcropbylabelclassesd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randcropbyposneglabeld method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randcropd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randflipd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randgaussiannoised method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randgaussiansharpend method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randgaussiansmoothd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randgibbsnoised method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randomizable method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randriciannoised method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randrotated method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -set_random_state() (monai.transforms.randscaleintensityd method) docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -shallow docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -shape docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -shape docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.titleterms -shape tests/profile_subclass/cprofile_profiling.py /^ shape = (n_chan, hwd, hwd, hwd)$/;" v -shape_factor docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p 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def test_ill_shape(self, input_param):$/;" m class:TestLocalNetUpSampleBlock -test_ill_shape tests/test_masked_dice_loss.py /^ def test_ill_shape(self):$/;" m class:TestDiceLoss -test_ill_shape tests/test_regunet.py /^ def test_ill_shape(self):$/;" m class:TestREGUNET -test_ill_shape tests/test_regunet_block.py /^ def test_ill_shape(self):$/;" m class:TestRegistrationDownSampleBlock -test_ill_shape tests/test_tversky_loss.py /^ def test_ill_shape(self):$/;" m class:TestTverskyLoss -test_ill_shape tests/test_unified_focal_loss.py /^ def test_ill_shape(self):$/;" m class:TestAsymmetricUnifiedFocalLoss -test_ill_shape tests/test_warp.py /^ def test_ill_shape(self):$/;" m class:TestWarp -test_image_no_label tests/test_testtimeaugmentation.py /^ def test_image_no_label(self):$/;" m class:TestTestTimeAugmentation -test_image_normalize_intensityd tests/test_normalize_intensityd.py /^ def test_image_normalize_intensityd(self, im_type):$/;" m class:TestNormalizeIntensityd 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class:TestTverskyLoss -test_int tests/test_scale_intensity.py /^ def test_int(self):$/;" m class:TestScaleIntensity -test_integration_value tests/testing_data/integration_answers.py /^def test_integration_value(test_name, key, data, rtol=1e-2):$/;" f -test_intensity tests/test_rand_k_space_spike_noise.py /^ def test_intensity(self, im_shape, im_type, channel_wise):$/;" m class:TestRandKSpaceSpikeNoise -test_interp tests/test_enum_bound_interp.py /^ def test_interp(self):$/;" m class:TestEnumBoundInterp -test_interp tests/test_rand_histogram_shift.py /^ def test_interp(self):$/;" m class:TestRandHistogramShift -test_invalid_cases tests/test_flipd.py /^ def test_invalid_cases(self, _, spatial_axis, raises):$/;" m class:TestFlipd -test_invalid_dim tests/test_deepgrow_dataset.py /^ def test_invalid_dim(self):$/;" m class:TestCreateDataset -test_invalid_inputs tests/test_flip.py /^ def test_invalid_inputs(self, _, spatial_axis, raises):$/;" m class:TestFlip -test_invalid_inputs tests/test_rand_flip.py /^ def test_invalid_inputs(self, _, spatial_axis, raises):$/;" m class:TestRandFlip -test_invalid_inputs tests/test_rand_zoom.py /^ def test_invalid_inputs(self, _, min_zoom, max_zoom, mode, raises):$/;" m class:TestRandZoom -test_invalid_inputs tests/test_rand_zoomd.py /^ def test_invalid_inputs(self, _, min_zoom, max_zoom, mode, raises):$/;" m class:TestRandZoomd -test_invalid_inputs tests/test_resize.py /^ def test_invalid_inputs(self):$/;" m class:TestResize -test_invalid_inputs tests/test_resized.py /^ def test_invalid_inputs(self):$/;" m class:TestResized -test_invalid_inputs tests/test_squeezedim.py /^ def test_invalid_inputs(self, exception, input_param, test_data):$/;" m class:TestSqueezeDim -test_invalid_inputs tests/test_squeezedimd.py /^ def test_invalid_inputs(self, exception, input_param, test_data):$/;" m class:TestSqueezeDim -test_invalid_inputs tests/test_zoom.py /^ def test_invalid_inputs(self, zoom, mode, raises):$/;" m class:TestZoom -test_invalid_inputs tests/test_zoomd.py /^ def test_invalid_inputs(self, _, zoom, mode, raises):$/;" m class:TestZoomd -test_invalid_instantiation tests/test_scale_intensity_range_percentiles.py /^ def test_invalid_instantiation(self):$/;" m class:TestScaleIntensityRangePercentiles -test_invalid_instantiation tests/test_scale_intensity_range_percentilesd.py /^ def test_invalid_instantiation(self):$/;" m class:TestScaleIntensityRangePercentilesd -test_inverse tests/test_inverse.py /^ def test_inverse(self, _, data_name, acceptable_diff, is_meta, *transforms):$/;" m class:TestInverse -test_inverse tests/test_one_of.py /^ def test_inverse(self, transform, invertible, use_metatensor):$/;" m class:TestOneOf -test_inverse tests/test_orientation.py /^ def test_inverse(self, device):$/;" m class:TestOrientationCase -test_inverse tests/test_random_order.py /^ def test_inverse(self, transform, invertible, use_metatensor):$/;" m class:TestRandomOrder -test_inverse tests/test_resample_to_match.py /^ def test_inverse(self):$/;" m class:TestResampleToMatch -test_inverse tests/test_some_of.py /^ def test_inverse(self, transform, invertible, use_metatensor):$/;" m class:TestSomeOf -test_inverse tests/test_spacing.py /^ def test_inverse(self, device, recompute, align, scale_extent):$/;" m class:TestSpacingCase -test_inverse tests/test_spatial_resample.py /^ def test_inverse(self, img, device, data_param, expected_output):$/;" m class:TestSpatialResample -test_inverse_array tests/test_inverse_array.py /^ def test_inverse_array(self, use_compose: bool, dtype: torch.dtype, device: torch.device):$/;" m class:TestInverseArray -test_inverse_compose tests/test_one_of.py /^ def test_inverse_compose(self):$/;" m class:TestOneOf -test_inverse_inferred_seg tests/test_inverse.py /^ def test_inverse_inferred_seg(self, extra_transform):$/;" m class:TestInverse -test_inverse_metatensor tests/test_one_of.py /^ def test_inverse_metatensor(self):$/;" m class:TestOneOf -test_inverse_mn_mx tests/test_spacing.py /^ def test_inverse_mn_mx(self, device, recompute, align, scale_extent):$/;" m class:TestSpacingCase -test_inverse_pending_ops tests/test_crop_foreground.py /^ def test_inverse_pending_ops(self, input_param, image, _expected_data, align_corners):$/;" m class:TestCropForeground -test_invert tests/test_invert.py /^ def test_invert(self):$/;" m class:TestInvert -test_invert tests/test_invertd.py /^ def test_invert(self):$/;" m class:TestInvertd -test_invert_warn_pending tests/test_invert.py /^ def test_invert_warn_pending(self):$/;" m class:TestInvert -test_is_import_stmt tests/test_config_item.py /^ def test_is_import_stmt(self, stmt, expected):$/;" m class:TestConfigItem -test_is_quick tests/utils.py /^def test_is_quick():$/;" f -test_is_randomizable_transform_type tests/test_randomizable_transform_type.py /^ def test_is_randomizable_transform_type(self):$/;" m class:TestRandomizableTransformType -test_item tests/test_config_item.py /^ def test_item(self, 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tests/test_load_image.py /^ def test_itk_reader_multichannel(self):$/;" m class:TestLoadImage -test_json tests/test_bundle_utils.py /^test_json = """$/;" v -test_json tests/test_hashing.py /^ def test_json(self):$/;" m class:TestJSONHashing -test_k tests/test_rand_rotate90.py /^ def test_k(self):$/;" m class:TestRandRotate90 -test_k tests/test_rand_rotate90d.py /^ def test_k(self):$/;" m class:TestRandRotate90d -test_k tests/test_rotate90.py /^ def test_k(self):$/;" m class:TestRotate90 -test_k tests/test_rotate90.py /^ def test_k(self):$/;" m class:TestRotate903d -test_k tests/test_rotate90d.py /^ def test_k(self):$/;" m class:TestRotate90d -test_keep_size tests/test_rand_zoom.py /^ def test_keep_size(self):$/;" m class:TestRandZoom -test_keep_size tests/test_rand_zoomd.py /^ def test_keep_size(self):$/;" m class:TestRandZoomd -test_keep_size tests/test_zoom.py /^ def test_keep_size(self):$/;" m class:TestZoom -test_keep_size tests/test_zoomd.py /^ def test_keep_size(self):$/;" m class:TestZoomd -test_kernels_strides tests/test_hovernet.py /^ def test_kernels_strides(self):$/;" m class:TestHoverNet -test_keys tests/test_map_transform.py /^ def test_keys(self, keys, expected):$/;" m class:TestRandomizable -test_kitty_pretrained tests/test_efficientnet.py /^ def test_kitty_pretrained(self, input_param, image_path, expected_label):$/;" m class:TestEFFICIENTNET -test_kwargs tests/test_load_image.py /^ def test_kwargs(self):$/;" m class:TestLoadImage -test_kwargs tests/test_monai_utils_misc.py /^ def test_kwargs(self):$/;" m class:TestMiscKwargs -test_kwargs tests/test_numpy_reader.py /^ def test_kwargs(self):$/;" m class:TestNumpyReader -test_label_stats_case_analyzer tests/test_auto3dseg.py /^ def test_label_stats_case_analyzer(self):$/;" m class:TestDataAnalyzer -test_label_stats_summary_analyzer tests/test_auto3dseg.py /^ def test_label_stats_summary_analyzer(self):$/;" m class:TestDataAnalyzer -test_lambda_identity tests/test_lambda.py /^ def 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tests/test_spatial_crop.py /^ def test_lazy_error(self, input_param, input_shape, _):$/;" m class:TestSpatialCrop -test_lazy_instantiation tests/test_config_item.py /^ def test_lazy_instantiation(self):$/;" m class:TestConfigItem -test_learnable_pos_embed tests/test_patchembedding.py /^ def test_learnable_pos_embed(self):$/;" m class:TestPatchEmbeddingBlock -test_len_and_flatten tests/test_one_of.py /^ def test_len_and_flatten(self):$/;" m class:TestOneOf -test_linear_consistent tests/test_meta_affine.py /^ def test_linear_consistent(self, xform_cls, input_dict, atol):$/;" m class:TestAffineConsistencyITK -test_linear_consistent_dict tests/test_meta_affine.py /^ def test_linear_consistent_dict(self, xform_cls, input_dict, atol):$/;" m class:TestAffineConsistencyITK -test_linear_scheduler tests/test_handler_parameter_scheduler.py /^ def test_linear_scheduler(self):$/;" m class:TestHandlerParameterScheduler -test_list_dict_compose tests/test_compose.py /^ def 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-test_load_ckpt tests/test_mmar_download.py /^ def test_load_ckpt(self, input_args, expected_name, expected_val):$/;" m class:TestMMMARDownload -test_load_config_dir tests/test_bundle_utils.py /^ def test_load_config_dir(self):$/;" m class:TestLoadBundleConfig -test_load_config_ts tests/test_bundle_utils.py /^ def test_load_config_ts(self):$/;" m class:TestLoadBundleConfig -test_load_config_zip tests/test_bundle_utils.py /^ def test_load_config_zip(self):$/;" m class:TestLoadBundleConfig -test_load_file tests/test_npzdictitemdataset.py /^ def test_load_file(self):$/;" m class:TestNPZDictItemDataset -test_load_image tests/test_init_reader.py /^ def test_load_image(self):$/;" m class:TestInitLoadImage -test_load_net_with_metadata tests/test_torchscript_utils.py /^ def test_load_net_with_metadata(self):$/;" m class:TestTorchscript -test_load_net_with_metadata_with_extra tests/test_torchscript_utils.py /^ def test_load_net_with_metadata_with_extra(self):$/;" m class:TestTorchscript -test_load_nifti tests/test_ensure_channel_first.py /^ def test_load_nifti(self, input_param, filenames, original_channel_dim):$/;" m class:TestEnsureChannelFirst -test_load_nifti tests/test_ensure_channel_firstd.py /^ def test_load_nifti(self, input_param, filenames, original_channel_dim):$/;" m class:TestEnsureChannelFirstd -test_load_nifti_multichannel tests/test_load_image.py /^ def test_load_nifti_multichannel(self):$/;" m class:TestLoadImage -test_load_png tests/test_ensure_channel_first.py /^ def test_load_png(self):$/;" m class:TestEnsureChannelFirst -test_load_png tests/test_ensure_channel_firstd.py /^ def test_load_png(self):$/;" m class:TestEnsureChannelFirstd -test_load_png tests/test_load_image.py /^ def test_load_png(self):$/;" m class:TestLoadImage -test_load_spacingd tests/test_load_spacing_orientation.py /^ def test_load_spacingd(self, filename):$/;" m class:TestLoadSpacingOrientation -test_load_spacingd_non_diag tests/test_load_spacing_orientation.py /^ def test_load_spacingd_non_diag(self):$/;" m class:TestLoadSpacingOrientation -test_load_spacingd_non_diag_ornt tests/test_load_spacing_orientation.py /^ def test_load_spacingd_non_diag_ornt(self):$/;" m class:TestLoadSpacingOrientation -test_load_spacingd_rotate tests/test_load_spacing_orientation.py /^ def test_load_spacingd_rotate(self, filename):$/;" m class:TestLoadSpacingOrientation -test_load_spacingd_rotate_non_diag tests/test_load_spacing_orientation.py /^ def test_load_spacingd_rotate_non_diag(self):$/;" m class:TestLoadSpacingOrientation -test_load_spacingd_rotate_non_diag_ornt tests/test_load_spacing_orientation.py /^ def test_load_spacingd_rotate_non_diag_ornt(self):$/;" m class:TestLoadSpacingOrientation -test_load_state_dict tests/test_handler_checkpoint_saver.py /^ def test_load_state_dict(self):$/;" m class:TestHandlerCheckpointSaver -test_load_stream tests/test_npzdictitemdataset.py /^ def test_load_stream(self):$/;" m class:TestNPZDictItemDataset -test_load_ts_module tests/test_bundle_download.py /^ def test_load_ts_module(self, bundle_files, bundle_name, version, repo, device, model_file):$/;" m class:TestLoad -test_load_weights tests/test_bundle_download.py /^ def test_load_weights(self, bundle_files, bundle_name, repo, device, model_file):$/;" m class:TestLoad -test_load_weights_with_net_override tests/test_bundle_download.py /^ def test_load_weights_with_net_override(self, bundle_name, device, net_override):$/;" m class:TestLoad -test_loading_array tests/test_grid_dataset.py /^ def test_loading_array(self):$/;" m class:TestGridPatchDataset -test_loading_array tests/test_patch_dataset.py /^ def test_loading_array(self):$/;" m class:TestPatchDataset -test_loading_dict tests/test_grid_dataset.py /^ def test_loading_dict(self):$/;" m class:TestGridPatchDataset -test_loading_mmar tests/ngc_bundle_download.py /^ def test_loading_mmar(self, item):$/;" m class:TestAllDownloadingMMAR -test_local_inversion tests/utils.py /^def test_local_inversion(invertible_xform, to_invert, im, dict_key=None):$/;" f -test_locate tests/test_component_locator.py /^ def test_locate(self):$/;" m class:TestComponentLocator -test_logfile tests/test_handler_logfile.py /^ def test_logfile(self):$/;" m class:TestHandlerLogfile -test_longest_infinite_decimals tests/test_resize.py /^ def test_longest_infinite_decimals(self):$/;" m class:TestResize -test_longest_shape tests/test_resize.py /^ def test_longest_shape(self, input_param, expected_shape):$/;" m class:TestResize -test_longest_shape tests/test_resized.py /^ def test_longest_shape(self, input_param, expected_shape):$/;" m class:TestResized -test_look_up tests/test_look_up_option.py /^ def test_look_up(self, input_str, supported, expected):$/;" m class:TestLookUpOption -test_loss tests/test_nvtx_decorator.py /^ def test_loss(self, input):$/;" m class:TestNVTXRangeDecorator -test_loss_dict tests/test_handler_stats.py /^ def test_loss_dict(self):$/;" m class:TestHandlerStats -test_loss_file tests/test_handler_stats.py /^ def test_loss_file(self):$/;" m class:TestHandlerStats -test_loss_fn tests/test_handler_ignite_metric.py /^ def test_loss_fn(self, loss_params, metric_params, handler_params, expected_avg):$/;" m class:TestHandlerIgniteMetricHandler -test_loss_logic tests/test_adversarial_loss.py /^ def test_loss_logic(self, input_param: dict, shape_input: list):$/;" m class:TestPatchAdversarialLoss -test_loss_print tests/test_handler_stats.py /^ def test_loss_print(self, iteration_log):$/;" m class:TestHandlerStats -test_lr_finder tests/test_lr_finder.py /^ def test_lr_finder(self):$/;" m class:TestLRFinder -test_lr_values tests/test_generate_param_groups.py /^ def test_lr_values(self, input_param, expected_values, expected_groups):$/;" m class:TestGenerateParamGroups -test_macro_replace tests/test_config_parser.py /^ def test_macro_replace(self):$/;" m class:TestConfigParser -test_make_nifti tests/test_make_nifti.py /^ def test_make_nifti(self, params):$/;" m class:TestMakeNifti -test_many_elements_quantile tests/test_utils_pytorch_numpy_unification.py /^ def test_many_elements_quantile(self): # pytorch#64947$/;" m class:TestPytorchNumpyUnification -test_map_transform tests/test_with_allow_missing_keys.py /^ def test_map_transform(self):$/;" m class:TestWithAllowMissingKeysMode -test_mask tests/test_intensity_stats.py /^ def test_mask(self):$/;" m class:TestIntensityStats -test_mask tests/test_intensity_statsd.py /^ def test_mask(self):$/;" m class:TestIntensityStatsd -test_mask tests/test_kspace_mask.py /^ def test_mask(self, test_data):$/;" m class:TestMRIUtils -test_max_channel tests/test_add_coordinate_channels.py /^ def test_max_channel(self, input_param, input):$/;" m class:TestAddCoordinateChannels -test_max_channel tests/test_add_coordinate_channelsd.py /^ def test_max_channel(self, input_param, input):$/;" m class:TestAddCoordinateChannels -test_max_none tests/test_scale_intensity.py /^ def test_max_none(self):$/;" m class:TestScaleIntensity -test_mcfcn_shape tests/test_ahnet.py /^ def test_mcfcn_shape(self, input_param, input_shape, expected_shape):$/;" m class:TestMCFCN -test_mcfcn_shape tests/test_ahnet.py /^ def test_mcfcn_shape(self, input_param, input_shape, expected_shape):$/;" m class:TestMCFCNWithPretrain -test_medicalnet_on_2d_data tests/test_perceptual_loss.py /^ def test_medicalnet_on_2d_data(self):$/;" m class:TestPerceptualLoss -test_memory tests/test_delete_itemsd.py /^ def test_memory(self, input_param, expected_key_size):$/;" m class:TestDeleteItemsd -test_memory tests/test_select_itemsd.py /^ def test_memory(self, input_param, expected_key_size):$/;" m class:TestSelectItemsd -test_merging_mode tests/test_swin_unetr.py /^test_merging_mode = ["mergingv2", "merging", PatchMerging, PatchMergingV2]$/;" v -test_meta_dict tests/test_flipd.py /^ def test_meta_dict(self):$/;" m class:TestFlipd -test_meta_file tests/testing_data/data_config.json /^ "test_meta_file": {$/;" o object:configs -test_metatensor tests/test_gdsdataset.py /^ def test_metatensor(self):$/;" m class:TestDataset -test_metatensor_values tests/test_concat_itemsd.py /^ def test_metatensor_values(self):$/;" m class:TestConcatItemsd -test_meth_except1 tests/test_deprecated.py /^ def test_meth_except1(self):$/;" m class:TestDeprecated -test_meth_warning1 tests/test_deprecated.py /^ def test_meth_warning1(self):$/;" m class:TestDeprecated -test_metric_fn tests/test_handler_ignite_metric.py /^ def test_metric_fn(self, loss_params, metric_params, handler_params, expected_avg):$/;" m class:TestHandlerIgniteMetricHandler -test_metric_logging tests/test_handler_metric_logger.py /^ def test_metric_logging(self):$/;" m class:TestHandlerMetricLogger -test_metrics_print tests/test_handler_stats.py /^ def test_metrics_print(self, epoch_log):$/;" m class:TestHandlerStats -test_metrics_print tests/test_handler_tb_stats.py /^ def test_metrics_print(self):$/;" m class:TestHandlerTBStats -test_metrics_print_mock tests/test_handler_tb_stats.py /^ def test_metrics_print_mock(self, epoch_log):$/;" m class:TestHandlerTBStats -test_metrics_track tests/test_handler_mlflow.py /^ def test_metrics_track(self):$/;" m class:TestHandlerMLFlow -test_metrics_track_iters_mock tests/test_handler_mlflow.py /^ def test_metrics_track_iters_mock(self, iteration_log):$/;" m class:TestHandlerMLFlow -test_metrics_track_mock tests/test_handler_mlflow.py /^ def test_metrics_track_mock(self, epoch_log):$/;" m class:TestHandlerMLFlow -test_metrics_writer tests/test_handler_tb_stats.py /^ def test_metrics_writer(self):$/;" m class:TestHandlerTBStats -test_metrics_writer_mock tests/test_handler_tb_stats.py /^ def test_metrics_writer_mock(self, iteration_log):$/;" m class:TestHandlerTBStats -test_mixop_2d tests/test_dints_mixop.py /^ def test_mixop_2d(self, input_param, ops, weight, input_shape, expected_shape):$/;" m class:TestMixOP -test_mixop_3d tests/test_dints_mixop.py /^ def test_mixop_3d(self, input_param, ops, 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tests/test_ultrasound_confidence_map_transform.py /^ def test_multi_channel_2d(self):$/;" m class:TestUltrasoundConfidenceMapTransform -test_multi_class_seg_2d tests/test_focal_loss.py /^ def test_multi_class_seg_2d(self):$/;" m class:TestFocalLoss -test_multi_dicom tests/test_load_imaged.py /^ def test_multi_dicom(self):$/;" m class:TestConsistency -test_multi_in_single_out tests/test_adaptors.py /^ def test_multi_in_single_out(self):$/;" m class:TestAdaptors -test_multi_out tests/test_adaptors.py /^ def test_multi_out(self):$/;" m class:TestAdaptors -test_multi_run tests/test_handler_mlflow.py /^ def test_multi_run(self):$/;" m class:TestHandlerMLFlow -test_multi_thread tests/test_handler_mlflow.py /^ def test_multi_thread(self):$/;" m class:TestHandlerMLFlow -test_multioutput tests/test_sliding_window_hovernet_inference.py /^ def test_multioutput(self, inputs):$/;" m class:TestSlidingWindowHoVerNetInference -test_multioutput tests/test_sliding_window_inference.py /^ def 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-test_multistep_scheduler tests/test_handler_parameter_scheduler.py /^ def test_multistep_scheduler(self):$/;" m class:TestHandlerParameterScheduler -test_my_reader tests/test_load_image.py /^ def test_my_reader(self):$/;" m class:TestLoadImage -test_n_trans tests/test_cachentransdataset.py /^ def test_n_trans(self, transform, expected_shape):$/;" m class:TestCacheNTransDataset -test_naive_predictor tests/test_retinanet_predict_utils.py /^ def test_naive_predictor(self, input_param, input_shape):$/;" m class:TestPredictor -test_naive_retina_detector_shape tests/test_retinanet_detector.py /^ def test_naive_retina_detector_shape(self, input_param, input_shape):$/;" m class:TestRetinaNetDetector -test_nans tests/test_compute_generalized_dice.py /^ def test_nans(self, input_data, expected_value):$/;" m class:TestComputeGeneralizedDiceScore -test_nans tests/test_compute_meandice.py /^ def test_nans(self, input_data, expected_value):$/;" m class:TestComputeMeanDice -test_nans tests/test_compute_meaniou.py /^ def test_nans(self, input_data, expected_value):$/;" m class:TestComputeMeanIoU -test_nans tests/test_hausdorff_distance.py /^ def test_nans(self, input_data):$/;" m class:TestHausdorffDistance -test_nans tests/test_surface_distance.py /^ def test_nans(self, input_data):$/;" m class:TestAllSurfaceMetrics -test_nans_class tests/test_compute_generalized_dice.py /^ def test_nans_class(self, params, input_data, expected_value):$/;" m class:TestComputeGeneralizedDiceScore -test_nans_class tests/test_compute_meandice.py /^ def test_nans_class(self, params, input_data, expected_value):$/;" m class:TestComputeMeanDice -test_nans_class tests/test_compute_meaniou.py /^ def test_nans_class(self, params, input_data, expected_value):$/;" m class:TestComputeMeanIoU -test_native_type tests/test_get_equivalent_dtype.py /^ def test_native_type(self):$/;" m class:TestGetEquivalentDtype -test_neg_stride tests/test_convert_data_type.py /^ def test_neg_stride(self):$/;" m class:TestConvertDataType -test_network tests/test_nvtx_decorator.py /^ def test_network(self, input):$/;" m class:TestNVTXRangeDecorator -test_network_consistency tests/test_network_consistency.py /^ def test_network_consistency(self, net_name, data_path, json_path):$/;" m class:TestNetworkConsistency -test_ngc_download_bundle tests/ngc_bundle_download.py /^ def test_ngc_download_bundle(self, bundle_name, version, remove_prefix, download_name, file_/;" m class:TestNgcBundleDownload -test_nibabel_reader tests/test_load_image.py /^ def test_nibabel_reader(self, input_param, filenames, expected_shape):$/;" m class:TestLoadImage -test_nnunetv2runner tests/test_integration_nnunetv2_runner.py /^ def test_nnunetv2runner(self) -> None:$/;" m class:TestnnUNetV2Runner typeref:typename:None -test_no_channel tests/test_itk_writer.py /^ def test_no_channel(self):$/;" m class:TestITKWriter -test_no_fft_module_error tests/test_detect_envelope.py /^ def test_no_fft_module_error(self):$/;" m class:TestHilbertTransformNoFFTMod -test_no_fft_module_error tests/test_hilbert_transform.py /^ def test_no_fft_module_error(self):$/;" m class:TestHilbertTransformNoFFTMod -test_no_file tests/test_load_imaged.py /^ def test_no_file(self):$/;" m class:TestLoadImaged -test_no_files tests/test_load_image.py /^ def test_no_files(self):$/;" m class:TestLoadImage -test_no_first_dim tests/test_ultrasound_confidence_map_transform.py /^ def test_no_first_dim(self):$/;" m class:TestUltrasoundConfidenceMapTransform -test_no_found tests/test_look_up_option.py /^ def test_no_found(self):$/;" m class:TestLookUpOption -test_no_input tests/test_adn.py /^ def test_no_input(self):$/;" m class:TestADN2D -test_no_key tests/test_rand_rotate90d.py /^ def test_no_key(self):$/;" m class:TestRandRotate90d -test_no_key tests/test_rotate90d.py /^ def test_no_key(self):$/;" m class:TestRotate90d -test_no_name tests/test_resample_to_match.py /^ def test_no_name(self):$/;" m class:TestResampleToMatch -test_no_opencv_raises tests/test_video_datasets.py /^ def test_no_opencv_raises(self):$/;" m class:Base.TestVideoDataset -test_no_randomize tests/test_rand_affine.py /^ def test_no_randomize(self, initial_randomize, cache_grid):$/;" m class:TestRandAffine -test_no_weights_arg tests/test_one_of.py /^ def test_no_weights_arg(self):$/;" m class:TestOneOf -test_no_weights_arg tests/test_some_of.py /^ def test_no_weights_arg(self):$/;" m class:TestSomeOf -test_non_config tests/test_bundle_workflow.py /^ def test_non_config(self):$/;" m class:TestBundleWorkflow -test_non_config_wrong_log_cases tests/test_bundle_workflow.py /^ def test_non_config_wrong_log_cases(self, meta_file, logging_file, expected_error):$/;" m class:TestBundleWorkflow -test_non_default_shapes tests/test_efficientnet.py /^ def test_non_default_shapes(self, input_param, input_shape, expected_shape):$/;" m class:TestEFFICIENTNET -test_non_dict_compose tests/test_compose.py /^ def test_non_dict_compose(self):$/;" m class:TestCompose -test_non_dict_compose_with_unpack tests/test_compose.py /^ def test_non_dict_compose_with_unpack(self):$/;" m class:TestCompose -test_non_dict_metatensor tests/test_some_of.py /^ def test_non_dict_metatensor(self):$/;" m class:TestSomeOf -test_non_one_first_dim tests/test_ultrasound_confidence_map_transform.py /^ def test_non_one_first_dim(self):$/;" m class:TestUltrasoundConfidenceMapTransform -test_non_str_target tests/test_config_parser.py /^ def test_non_str_target(self):$/;" m class:TestConfigParser -test_nonzero tests/test_normalize_intensity.py /^ def test_nonzero(self, in_type, input_param, input_data, expected_data):$/;" m class:TestNormalizeIntensity -test_nonzero tests/test_normalize_intensityd.py /^ def test_nonzero(self, input_param, input_data, expected_data):$/;" m class:TestNormalizeIntensityd -test_nonzero tests/test_std_shift_intensity.py /^ def test_nonzero(self):$/;" m class:TestStdShiftIntensity -test_nonzero tests/test_std_shift_intensityd.py /^ def test_nonzero(self):$/;" m class:TestStdShiftIntensityd -test_norm_false tests/test_gaussian.py /^ def test_norm_false(self, variance, expected):$/;" m class:TestGaussian1d -test_norm_layer tests/test_get_layers.py /^ def test_norm_layer(self, input_param, expected):$/;" m class:TestGetLayers -test_norm_xform tests/test_affine_transform.py /^ def test_norm_xform(self, input_shape, align_corners, expected, zero_centered=False):$/;" m class:TestNormTransform -test_normalize_weights tests/test_one_of.py /^ def test_normalize_weights(self, transforms, input_weights, expected_weights):$/;" m class:TestOneOf -test_normalize_weights tests/test_some_of.py /^ def test_normalize_weights(self):$/;" m class:TestSomeOf -test_not_predicted_not_present tests/test_surface_dice.py /^ def test_not_predicted_not_present(self):$/;" m class:TestAllSurfaceDiceMetrics -test_npy tests/test_numpy_reader.py /^ def test_npy(self):$/;" m class:TestNumpyReader -test_npy_pickle tests/test_numpy_reader.py /^ def test_npy_pickle(self):$/;" m class:TestNumpyReader -test_npz1 tests/test_numpy_reader.py /^ def test_npz1(self):$/;" m class:TestNumpyReader -test_npz2 tests/test_numpy_reader.py /^ def test_npz2(self):$/;" m class:TestNumpyReader -test_npz3 tests/test_numpy_reader.py /^ def test_npz3(self):$/;" m class:TestNumpyReader -test_num_samples tests/test_weighted_random_sampler_dist.py /^ def test_num_samples(self):$/;" m class:DistributedWeightedRandomSamplerTest -test_number_of_dimensions_less_than_2_should_raise_error tests/test_compute_f_beta.py /^ def test_number_of_dimensions_less_than_2_should_raise_error(self):$/;" m class:TestFBetaScore -test_numpy tests/test_meta_tensor.py /^ def test_numpy(self, device=None, dtype=None):$/;" m class:TestMetaTensor -test_numpy_input tests/test_to_cupy.py /^ def test_numpy_input(self):$/;" m class:TestToCupy -test_numpy_input tests/test_to_cupyd.py /^ def test_numpy_input(self):$/;" m class:TestToCupyd -test_numpy_input tests/test_to_numpy.py /^ def test_numpy_input(self):$/;" m class:TestToNumpy -test_numpy_input tests/test_to_numpyd.py /^ def test_numpy_input(self):$/;" m class:TestToNumpyd -test_numpy_input_dtype tests/test_to_cupy.py /^ def test_numpy_input_dtype(self):$/;" m class:TestToCupy -test_numpy_values tests/test_concat_itemsd.py /^ def test_numpy_values(self):$/;" m class:TestConcatItemsd -test_numpy_values tests/test_copy_itemsd.py /^ def test_numpy_values(self, keys, times, names):$/;" m class:TestCopyItemsd -test_nvtx_transfroms_alone tests/test_nvtx_transform.py /^ def test_nvtx_transfroms_alone(self, input):$/;" m class:TestNVTXTransforms -test_nvtx_transfroms_array tests/test_nvtx_transform.py /^ def test_nvtx_transfroms_array(self, input):$/;" m class:TestNVTXTransforms -test_nvtx_transfroms_dict tests/test_nvtx_transform.py /^ def test_nvtx_transfroms_dict(self, input):$/;" m class:TestNVTXTransforms -test_old_ignite_metric tests/test_handler_ignite_metric.py /^ def test_old_ignite_metric(self, input_param, input_data, expected_val):$/;" m class:TestHandlerIgniteMetricHandler -test_one_of tests/test_one_of.py /^ def test_one_of(self):$/;" m class:TestOneOf -test_one_range_input tests/test_rand_bias_field.py /^ def test_one_range_input(self, class_args, expected):$/;" m class:TestRandBiasField -test_one_range_input tests/test_rand_bias_fieldd.py /^ def test_one_range_input(self, class_args, expected):$/;" m class:TestRandBiasFieldd -test_one_save_one_load tests/test_handler_checkpoint_loader.py /^ def test_one_save_one_load(self):$/;" m class:TestHandlerCheckpointLoader -test_onnx tests/test_retinanet.py /^ def test_onnx(self, model, input_param, input_shape):$/;" m class:TestRetinaNet -test_onnx_export tests/test_bundle_onnx_export.py /^ def test_onnx_export(self, use_trace):$/;" m class:TestONNXExport -test_onnx_save tests/utils.py /^def test_onnx_save(net, *inputs, device=None, rtol=1e-4, atol=0.0):$/;" f -test_onnx_trt_export tests/test_bundle_trt_export.py /^ def test_onnx_trt_export(self, convert_precision, input_shape, dynamic_batch):$/;" m class:TestTRTExport -test_orientation tests/test_nifti_rw.py /^ def test_orientation(self, array, affine, reader_param, expected):$/;" m class:TestNiftiLoadRead -test_ornt_meta tests/test_orientation.py /^ def test_ornt_meta($/;" m class:TestOrientationCase -test_ornt_torch tests/test_orientation.py /^ def test_ornt_torch(self, init_param, img: torch.Tensor, track_meta: bool, device):$/;" m class:TestOrientationCase -test_orntd tests/test_orientationd.py /^ def test_orntd($/;" m class:TestOrientationdCase -test_orntd_torch tests/test_orientationd.py /^ def test_orntd_torch(self, init_param, img: torch.Tensor, track_meta: bool, device):$/;" m class:TestOrientationdCase -test_orntd_torch tests/test_spacingd.py /^ def test_orntd_torch(self, init_param, img: torch.Tensor, track_meta: bool, device):$/;" m class:TestSpacingDCase -test_out tests/test_meta_tensor.py /^ def test_out(self):$/;" m class:TestMetaTensor -test_output tests/test_hausdorff_distance.py /^ test_input, test_output = test_case # type: ignore$/;" v -test_output tests/test_pathology_prob_nms.py /^ def test_output(self, class_args, call_args, probs_map, expected):$/;" m class:TestPathologyProbNMS -test_output tests/test_probnms.py /^ def test_output(self, class_args, probs_map, expected):$/;" m class:TestProbNMS -test_output tests/test_probnmsd.py /^ def test_output(self, class_args, probs_map, expected):$/;" m class:TestProbNMS -test_output tests/test_watershed.py /^ def test_output(self, args, image, hover_map, expected_shape):$/;" m class:TestWatershed -test_output tests/test_watershedd.py /^ def test_output(self, args, image, hover_map, expected_shape):$/;" m class:TestWatershedd -test_output_shape tests/test_rand_bias_field.py /^ def test_output_shape(self, class_args, img_shape):$/;" m class:TestRandBiasField -test_output_shape tests/test_rand_bias_fieldd.py /^ def test_output_shape(self, class_args, img_shape):$/;" m class:TestRandBiasFieldd -test_output_str tests/test_query_memory.py /^ def test_output_str(self):$/;" m class:TestQueryMemory -test_pad tests/test_border_pad.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestBorderPad -test_pad tests/test_border_padd.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestBorderPadd -test_pad tests/test_divisible_pad.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestDivisiblePad -test_pad tests/test_divisible_padd.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestDivisiblePadd -test_pad tests/test_pad_mode.py /^ def test_pad(self):$/;" m class:TestPadMode -test_pad tests/test_recon_net_utils.py /^ def test_pad(self, test_data):$/;" m class:TestReconNetUtils -test_pad tests/test_spatial_pad.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestSpatialPad -test_pad tests/test_spatial_padd.py /^ def test_pad(self, input_param, input_shape, expected_shape):$/;" m class:TestSpatialPadd -test_pad_collation tests/test_pad_collation.py /^ def test_pad_collation(self, t_type, collate_method, transform):$/;" m class:TestPadCollation -test_pad_kwargs tests/test_border_pad.py /^ def test_pad_kwargs(self):$/;" m class:TestBorderPad -test_pad_kwargs tests/test_divisible_pad.py /^ def test_pad_kwargs(self):$/;" m class:TestDivisiblePad -test_pad_kwargs tests/test_spatial_pad.py /^ def test_pad_kwargs(self):$/;" m class:TestSpatialPad -test_pad_shape tests/test_resize_with_pad_or_crop.py /^ def test_pad_shape(self, input_param, input_shape, expected_shape, _):$/;" m class:TestResizeWithPadOrCrop -test_pad_shape tests/test_resize_with_pad_or_cropd.py /^ def test_pad_shape(self, input_param, input_data, expected_val):$/;" m class:TestResizeWithPadOrCropd -test_padding_mode tests/test_zoom.py /^ def test_padding_mode(self):$/;" m class:TestZoom -test_pair_content tests/test_prepare_batch_default.py /^ def test_pair_content(self):$/;" m class:TestPrepareBatchDefault -test_parameters tests/test_ultrasound_confidence_map_transform.py /^ def test_parameters(self):$/;" m class:TestUltrasoundConfidenceMapTransform -test_parse tests/test_config_parser.py /^ def test_parse(self, config, expected_ids, output_types):$/;" m class:TestConfigParser -test_parse_json_raise tests/test_config_parser.py /^ def test_parse_json_raise(self, config_string, extension, _, __):$/;" m class:TestConfigParser -test_parse_json_warn tests/test_config_parser.py /^ def test_parse_json_warn(self, config_string, extension, expected_unique_val, expected_dupli/;" m class:TestConfigParser -test_partial_over_load tests/test_handler_checkpoint_loader.py /^ def test_partial_over_load(self):$/;" m class:TestHandlerCheckpointLoader -test_partial_under_load tests/test_handler_checkpoint_loader.py /^ def test_partial_under_load(self):$/;" m class:TestHandlerCheckpointLoader -test_pass_applied_operations tests/test_image_filter.py /^ def test_pass_applied_operations(self):$/;" m class:TestImageFilter -test_pass_empty_metadata_dict tests/test_image_filter.py /^ def test_pass_empty_metadata_dict(self):$/;" m class:TestImageFilter -test_patch_inferer_dict tests/test_patch_inferer.py /^ def test_patch_inferer_dict(self, inputs, arguments, network, expected):$/;" m class:PatchInfererTests -test_patch_inferer_errors tests/test_patch_inferer.py /^ def test_patch_inferer_errors(self, inputs, arguments, expected_error):$/;" m class:PatchInfererTests -test_patch_inferer_list_tensor tests/test_patch_inferer.py /^ def test_patch_inferer_list_tensor(self, inputs, arguments, network, expected):$/;" m class:PatchInfererTests -test_patch_inferer_tensor tests/test_patch_inferer.py /^ def test_patch_inferer_tensor(self, inputs, arguments, network, expected):$/;" m class:PatchInfererTests -test_patch_iter tests/test_grid_dataset.py /^ def test_patch_iter(self, in_type, input_parameters, image, expected, coords):$/;" m class:TestGridPatchDataset -test_patch_iterd tests/test_grid_dataset.py /^ def test_patch_iterd(self, in_type, input_parameters, image, expected, coords):$/;" m class:TestGridPatchDataset -test_patch_merging tests/test_swin_unetr.py /^ def test_patch_merging(self):$/;" m class:TestSWINUNETR -test_pdb tests/test_config_parser.py /^ def test_pdb(self):$/;" m class:TestConfigParser -test_pending_ops tests/test_border_pad.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestBorderPad -test_pending_ops tests/test_border_padd.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestBorderPadd -test_pending_ops tests/test_center_scale_crop.py /^ def test_pending_ops(self, input_param, input_shape, _, align_corners):$/;" m class:TestCenterScaleCrop -test_pending_ops tests/test_center_scale_cropd.py /^ def test_pending_ops(self, input_param, input_shape, _, align_corners):$/;" m class:TestCenterScaleCropd -test_pending_ops tests/test_center_spatial_crop.py /^ def test_pending_ops(self, input_param, input_shape, _, align_corners):$/;" m class:TestCenterSpatialCrop -test_pending_ops tests/test_center_spatial_cropd.py /^ def test_pending_ops(self, input_param, input_shape, _expected_shape, _same_area):$/;" m class:TestCenterSpatialCropd -test_pending_ops tests/test_crop_foreground.py /^ def test_pending_ops(self, input_param, image, _expected_data, align_corners):$/;" m class:TestCropForeground -test_pending_ops tests/test_crop_foregroundd.py /^ def test_pending_ops(self, input_param, image, _expected_data, align_corners):$/;" m class:TestCropForegroundd -test_pending_ops tests/test_divisible_pad.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestDivisiblePad -test_pending_ops tests/test_divisible_padd.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestDivisiblePadd -test_pending_ops tests/test_meta_tensor.py /^ def test_pending_ops(self):$/;" m class:TestMetaTensor -test_pending_ops tests/test_rand_crop_by_label_classes.py /^ def test_pending_ops(self, input_param, input_data, _expected_type, _expected_shape):$/;" m class:TestRandCropByLabelClasses -test_pending_ops tests/test_rand_crop_by_label_classesd.py /^ def test_pending_ops(self, input_param, input_data, _expected_type, _expected_shape):$/;" m class:TestRandCropByLabelClassesd -test_pending_ops tests/test_rand_crop_by_pos_neg_label.py /^ def test_pending_ops(self, input_param, input_data, _expected_shape):$/;" m class:TestRandCropByPosNegLabel -test_pending_ops tests/test_rand_crop_by_pos_neg_labeld.py /^ def test_pending_ops(self, input_param, input_data, _expected_shape):$/;" m class:TestRandCropByPosNegLabeld -test_pending_ops tests/test_rand_scale_crop.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestRandScaleCrop -test_pending_ops tests/test_rand_scale_cropd.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestRandScaleCropd -test_pending_ops tests/test_rand_spatial_crop.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestRandSpatialCrop -test_pending_ops tests/test_rand_spatial_crop_samples.py /^ def test_pending_ops(self, input_param, input_shape, _expected_shape, _expected_last_item):$/;" m class:TestRandSpatialCropSamples -test_pending_ops tests/test_rand_spatial_crop_samplesd.py /^ def test_pending_ops(self, input_param, input_data, _expected_shape, _expected_last):$/;" m class:TestRandSpatialCropSamplesd -test_pending_ops tests/test_rand_spatial_cropd.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestRandSpatialCropd -test_pending_ops tests/test_rand_weighted_crop.py /^ def test_pending_ops(self, _, input_param, img, weight, expected_shape, expected_vals):$/;" m class:TestRandWeightedCrop -test_pending_ops tests/test_rand_weighted_cropd.py /^ def test_pending_ops(self, _, input_param, input_data, expected_shape, expected_centers):$/;" m class:TestRandWeightedCrop -test_pending_ops tests/test_resize_with_pad_or_crop.py /^ def test_pending_ops(self, input_param, input_shape, _expected_data, align_corners):$/;" m class:TestResizeWithPadOrCrop -test_pending_ops tests/test_resize_with_pad_or_cropd.py /^ def test_pending_ops(self, input_param, input_data, _expected_data):$/;" m class:TestResizeWithPadOrCropd -test_pending_ops tests/test_spatial_crop.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestSpatialCrop -test_pending_ops tests/test_spatial_cropd.py /^ def test_pending_ops(self, input_param, input_shape, _expected_shape, _same_area):$/;" m class:TestSpatialCropd -test_pending_ops tests/test_spatial_pad.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestSpatialPad -test_pending_ops tests/test_spatial_padd.py /^ def test_pending_ops(self, input_param, input_shape, _):$/;" m class:TestSpatialPadd -test_pending_ops tests/test_zoom.py /^ def test_pending_ops(self, zoom, mode, align_corners=False, keep_size=False):$/;" m class:TestZoom -test_percentile tests/test_utils_pytorch_numpy_unification.py /^ def test_percentile(self):$/;" m class:TestPytorchNumpyUnification -test_pickle tests/test_hashing.py /^ def test_pickle(self):$/;" m class:TestPickleHashing -test_pickling tests/test_meta_tensor.py /^ def test_pickling(self):$/;" m class:TestMetaTensor -test_pil tests/test_nifti_endianness.py /^ def test_pil(self):$/;" m class:TestNiftiEndianness -test_plot tests/test_threadcontainer.py /^ def test_plot(self):$/;" m class:TestThreadContainer -test_png tests/test_load_imaged.py /^ def test_png(self):$/;" m class:TestConsistency -test_precision tests/test_compute_confusion_matrix.py /^ def test_precision(self, input_data, expected_value):$/;" m class:TestConfusionMatrix -test_prediction_and_result_have_different_shape tests/test_compute_f_beta.py /^ def test_prediction_and_result_have_different_shape(self):$/;" m class:TestFBetaScore -test_preserve_range tests/test_scale_intensity_fixed_mean.py /^ def test_preserve_range(self, p):$/;" m class:TestScaleIntensityFixedMean -test_pretrain tests/test_flexible_unet.py /^ def test_pretrain(self, input_param, efficient_input_param, weight_list):$/;" m class:TestFLEXIBLEUNET -test_pretrain_consistency tests/test_densenet.py /^ def test_pretrain_consistency(self, model, input_param, input_shape):$/;" m class:TestPretrainedDENSENET -test_pretrain_consistency tests/test_senet.py /^ def test_pretrain_consistency(self, model, input_param):$/;" m class:TestPretrainedSENET -test_pretrained_networks tests/utils.py /^def test_pretrained_networks(network, input_param, device):$/;" f -test_print_info tests/test_print_info.py /^ def test_print_info(self):$/;" m class:TestPrintInfo -test_prob_k_spatial_axes tests/test_rand_rotate90.py /^ def test_prob_k_spatial_axes(self):$/;" m class:TestRandRotate90 -test_prob_k_spatial_axes tests/test_rand_rotate90d.py /^ def test_prob_k_spatial_axes(self):$/;" m class:TestRandRotate90d -test_prob_k_spatial_axes tests/test_rotate90.py /^ def test_prob_k_spatial_axes(self):$/;" m class:TestRotate90 -test_prob_k_spatial_axes tests/test_rotate90.py /^ def test_prob_k_spatial_axes(self):$/;" m class:TestRotate903d -test_prob_k_spatial_axes tests/test_rotate90d.py /^ def test_prob_k_spatial_axes(self):$/;" m class:TestRotate90d -test_prob_map_generator tests/test_handler_prob_map_producer.py /^ def test_prob_map_generator(self, name, size):$/;" m class:TestHandlerProbMapGenerator -test_profile_callable tests/test_profiling.py /^ def test_profile_callable(self):$/;" m class:TestWorkflowProfiler -test_profile_context tests/test_profiling.py /^ def test_profile_context(self):$/;" m class:TestWorkflowProfiler -test_profile_iteration tests/test_profiling.py /^ def test_profile_iteration(self):$/;" m class:TestWorkflowProfiler -test_profile_multithread 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docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.indexentries -zsize docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -zzz docs/build/html/searchindex.js /^Search.setIndex({"docnames": ["_gen\/monai.transforms.croppad.array", "_gen\/monai.transforms.cr/;" p property:anonymousObject06adab590105.terms -~Indexer monai/csrc/utils/tensor_indexing.h /^ ~Indexer() {$/;" f struct:Indexer -~TensorDescription monai/csrc/utils/tensor_description.h /^ ~TensorDescription() {$/;" f struct:TensorDescription From 93f5208d14d2e18e7b955d6de45484b3d30acdcc Mon Sep 17 00:00:00 2001 From: Fabian Klopfer <fabian.klopfer@ieee.org> Date: Thu, 18 Apr 2024 13:07:20 +0200 Subject: [PATCH 10/11] add flag to squeeze and compute mean only on dim 0 Signed-off-by: Fabian Klopfer <fabian.klopfer@ieee.org> --- monai/losses/perceptual.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/monai/losses/perceptual.py b/monai/losses/perceptual.py index 6a512a292f..f26830a8ba 100644 --- a/monai/losses/perceptual.py +++ b/monai/losses/perceptual.py @@ -179,9 +179,15 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: loss = loss_sagittal + loss_axial + loss_coronal else: # 2D and real 3D cases - loss = self.perceptual_function(input, target).squeeze() + loss = self.perceptual_function(input, target) - return torch.mean(loss, dim=0) + if self.channel_wise: + loss = loss.squeeze() + loss = torch.mean(loss, dim=0) + else: + loss = torch.mean(loss) + + return loss class MedicalNetPerceptualSimilarity(nn.Module): From 913a2fc73e1db5b4d6446bbd7c6c5418b1d98df6 Mon Sep 17 00:00:00 2001 From: Fabian Klopfer <fabian.klopfer@ieee.org> Date: Fri, 19 Apr 2024 13:42:26 +0200 Subject: [PATCH 11/11] merge two lines into one Co-authored-by: YunLiu <55491388+KumoLiu@users.noreply.github.com> Signed-off-by: Fabian Klopfer <fabian.klopfer@ieee.org> --- monai/losses/perceptual.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/monai/losses/perceptual.py b/monai/losses/perceptual.py index f26830a8ba..02493f412b 100644 --- a/monai/losses/perceptual.py +++ b/monai/losses/perceptual.py @@ -182,8 +182,7 @@ def forward(self, input: torch.Tensor, target: torch.Tensor) -> torch.Tensor: loss = self.perceptual_function(input, target) if self.channel_wise: - loss = loss.squeeze() - loss = torch.mean(loss, dim=0) + loss = torch.mean(loss.squeeze(), dim=0) else: loss = torch.mean(loss)