Avoid too many return
statements within this function. Open
return encoder.layer4
Line too long (105 > 79 characters) Open
This model can be constructed with 'resnet18', 'resnet34', 'resnet50', 'resnet101', 'resnet152' encoders.
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (111 > 79 characters) Open
self.encoder_stages = nn.ModuleList([self.get_encoder(base_model, idx) for idx in range(len(filters))])
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (98 > 79 characters) Open
return AlbUNet(model, classes_num, weights_url=model_urls['resnet34'] if pretrained else None)
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (106 > 79 characters) Open
self.bottlenecks = nn.ModuleList([self.bottleneck_type(f * 2, f) for f in reversed(filters[:-1])])
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (84 > 79 characters) Open
:param pretrained: If True, returns a model with encoder pre-trained on ImageNet
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (84 > 79 characters) Open
:param pretrained: If True, returns a model with encoder pre-trained on ImageNet
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (103 > 79 characters) Open
pretrained_weights = {k: v for k, v in pretrained_weights.items() if k in model_state_dict}
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (98 > 79 characters) Open
return AlbUNet(model, classes_num, weights_url=model_urls['resnet50'] if pretrained else None)
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (99 > 79 characters) Open
return AlbUNet(model, classes_num, weights_url=model_urls['resnet152'] if pretrained else None)
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (113 > 79 characters) Open
This module created AlbUNet: U-Net with ResNet encoder. This model writed by Alexander Buslaev and spoiled by me.
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (84 > 79 characters) Open
:param pretrained: If True, returns a model with encoder pre-trained on ImageNet
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (95 > 79 characters) Open
def __init__(self, base_model: torch.nn.Module, num_classes: int, weights_url: str = None):
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (97 > 79 characters) Open
# initial ideas are U-Net and LinkNet. see papers or blogposts for additional information
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (99 > 79 characters) Open
return AlbUNet(model, classes_num, weights_url=model_urls['resnet101'] if pretrained else None)
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (111 > 79 characters) Open
self.decoder_stages = nn.ModuleList([self.get_decoder(filters, idx) for idx in range(1, len(filters))])
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (83 > 79 characters) Open
self.conv1 = nn.Conv2d(in_channels, 64, kernel_size=7, stride=2, padding=3,
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (98 > 79 characters) Open
return AlbUNet(model, classes_num, weights_url=model_urls['resnet18'] if pretrained else None)
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (84 > 79 characters) Open
:param pretrained: If True, returns a model with encoder pre-trained on ImageNet
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.
Line too long (84 > 79 characters) Open
:param pretrained: If True, returns a model with encoder pre-trained on ImageNet
- Read upRead up
- Exclude checks
Limit all lines to a maximum of 79 characters.
There are still many devices around that are limited to 80 character
lines; plus, limiting windows to 80 characters makes it possible to
have several windows side-by-side. The default wrapping on such
devices looks ugly. Therefore, please limit all lines to a maximum
of 79 characters. For flowing long blocks of text (docstrings or
comments), limiting the length to 72 characters is recommended.
Reports error E501.