From f36cc1dad816ecceef4d74d8d900849686f89d5d Mon Sep 17 00:00:00 2001 From: monai-bot Date: Mon, 13 May 2024 06:16:15 +0000 Subject: [PATCH] [MONAI] code formatting Signed-off-by: monai-bot --- monai/data/video_dataset.py | 2 +- monai/networks/nets/daf3d.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/monai/data/video_dataset.py b/monai/data/video_dataset.py index 9ff23ebeff..031e85db26 100644 --- a/monai/data/video_dataset.py +++ b/monai/data/video_dataset.py @@ -177,7 +177,7 @@ def get_available_codecs() -> dict[str, str]: for codec, ext in all_codecs.items(): writer = cv2.VideoWriter() fname = os.path.join(tmp_dir, f"test{ext}") - fourcc = cv2.VideoWriter_fourcc(*codec) # type: ignore[attr-defined] + fourcc = cv2.VideoWriter_fourcc(*codec) noviderr = writer.open(fname, fourcc, 1, (10, 10)) if noviderr: codecs[codec] = ext diff --git a/monai/networks/nets/daf3d.py b/monai/networks/nets/daf3d.py index c9a18c746a..31c2bf4c31 100644 --- a/monai/networks/nets/daf3d.py +++ b/monai/networks/nets/daf3d.py @@ -196,7 +196,7 @@ def __init__(self, in_planes, planes, spatial_dims=3, stride=1, downsample=None) self.conv2 = conv_type(planes, planes, kernel_size=3, padding=1, stride=stride, groups=32, bias=False) # adapt activation function - self.relu = nn.PReLU() # type: ignore + self.relu = nn.PReLU() class Daf3dResNetDilatedBottleneck(Daf3dResNetBottleneck): @@ -287,7 +287,7 @@ def __init__( n_input_channels, self.in_planes, kernel_size=7, stride=(1, 2, 2), padding=(3, 3, 3), bias=False ) self.bn1 = norm_type(32, 64) - self.relu = nn.PReLU() # type: ignore + self.relu = nn.PReLU() # adapt layers to our needs self.layer1 = self._make_layer(Daf3dResNetBottleneck, block_inplanes[0], layers[0], spatial_dims, shortcut_type)