Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

auto updates #7760

Merged
merged 1 commit into from
May 13, 2024
Merged

auto updates #7760

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion monai/data/video_dataset.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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
Expand Down
4 changes: 2 additions & 2 deletions monai/networks/nets/daf3d.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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):
Expand Down Expand Up @@ -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)
Expand Down
Loading