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github.com/Cadene/pretrained-models.pytorch
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Functions
373 in github.com/Cadene/pretrained-models.pytorch
⨍
Functions
373
◇
Types & classes
120
Method
__init__
(self, *args)
pretrainedmodels/models/resnext_features/resnext101_32x4d_features.py:26
Method
__init__
(self, *args)
pretrainedmodels/models/resnext_features/resnext101_32x4d_features.py:34
Method
__init__
(self)
examples/imagenet_eval.py:264
Method
__len__
(self)
pretrainedmodels/datasets/voc.py:257
Method
__repr__
(self)
pretrainedmodels/models/dpn.py:459
Method
__str__
(self)
pretrainedmodels/datasets/utils.py:40
Function
add
(x, y)
pretrainedmodels/models/resnext_features/resnext101_64x4d_features.py:43
Function
add
(x, y)
pretrainedmodels/models/resnext_features/resnext101_32x4d_features.py:43
Function
alexnet
r"""AlexNet model architecture from the `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper.
pretrainedmodels/models/torchvision_models.py:168
Function
cafferesnet101
Constructs a ResNet-101 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
pretrainedmodels/models/cafferesnet.py:168
Function
densenet121
r"""Densenet-121 model from `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`
pretrainedmodels/models/torchvision_models.py:205
Function
densenet161
r"""Densenet-161 model from `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`
pretrainedmodels/models/torchvision_models.py:238
Function
densenet169
r"""Densenet-169 model from `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`
pretrainedmodels/models/torchvision_models.py:216
Function
densenet201
r"""Densenet-201 model from `"Densely Connected Convolutional Networks" <https://arxiv.org/pdf/1608.06993.pdf>`
pretrainedmodels/models/torchvision_models.py:227
Function
download_url
Download a URL to a local file. Parameters ---------- url : str The URL to download. destination : str, None The dest
pretrainedmodels/datasets/utils.py:45
Function
dpn107
(num_classes=1000, pretrained='imagenet+5k')
pretrainedmodels/models/dpn.py:188
Function
dpn131
(num_classes=1000, pretrained='imagenet')
pretrainedmodels/models/dpn.py:170
Function
dpn68
(num_classes=1000, pretrained='imagenet')
pretrainedmodels/models/dpn.py:98
Function
dpn68b
(num_classes=1000, pretrained='imagenet+5k')
pretrainedmodels/models/dpn.py:116
Function
dpn92
(num_classes=1000, pretrained='imagenet+5k')
pretrainedmodels/models/dpn.py:134
Function
dpn98
(num_classes=1000, pretrained='imagenet')
pretrainedmodels/models/dpn.py:152
Method
factor
(self)
pretrainedmodels/models/dpn.py:456
Function
fbresnet101
Constructs a ResNet-101 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
pretrainedmodels/models/fbresnet.py:206
Function
fbresnet152
Constructs a ResNet-152 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
pretrainedmodels/models/fbresnet.py:216
Function
fbresnet18
Constructs a ResNet-18 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
pretrainedmodels/models/fbresnet.py:176
Function
fbresnet34
Constructs a ResNet-34 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
pretrainedmodels/models/fbresnet.py:186
Function
fbresnet50
Constructs a ResNet-50 model. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet
pretrainedmodels/models/fbresnet.py:196
Function
features
(self, input)
pretrainedmodels/models/torchvision_models.py:142
Function
find_images_classification
(root, dataset, set)
pretrainedmodels/datasets/voc.py:104
Function
forward
(self, input)
pretrainedmodels/models/torchvision_models.py:157
Method
forward
(self, x)
pretrainedmodels/utils.py:113
Method
forward
(self,x)
pretrainedmodels/models/xception.py:57
Method
forward
(self,inp)
pretrainedmodels/models/xception.py:101
Method
forward
(self, input)
pretrainedmodels/models/xception.py:210
Method
forward
(self, x)
pretrainedmodels/models/inceptionv4.py:48
Method
forward
(self, x)
pretrainedmodels/models/inceptionv4.py:62
Method
forward
(self, x)
pretrainedmodels/models/inceptionv4.py:86
Method
forward
(self, x)
pretrainedmodels/models/inceptionv4.py:100
Method
forward
(self, x)
pretrainedmodels/models/inceptionv4.py:129
Method
forward
(self, x)
pretrainedmodels/models/inceptionv4.py:152
Method
forward
(self, x)
pretrainedmodels/models/inceptionv4.py:185
Method
forward
(self, x)
pretrainedmodels/models/inceptionv4.py:213
Method
forward
(self, x)
pretrainedmodels/models/inceptionv4.py:243
Method
forward
(self, input)
pretrainedmodels/models/inceptionv4.py:308
Method
forward
(self, x)
pretrainedmodels/models/inceptionresnetv2.py:47
Method
forward
(self, x)
pretrainedmodels/models/inceptionresnetv2.py:77
Method
forward
(self, x)
pretrainedmodels/models/inceptionresnetv2.py:109
Method
forward
(self, x)
pretrainedmodels/models/inceptionresnetv2.py:135
Method
forward
(self, x)
pretrainedmodels/models/inceptionresnetv2.py:161
Method
forward
(self, x)
pretrainedmodels/models/inceptionresnetv2.py:194
Method
forward
(self, x)
pretrainedmodels/models/inceptionresnetv2.py:223
Method
forward
(self, input)
pretrainedmodels/models/inceptionresnetv2.py:328
Method
forward
(self, input)
pretrainedmodels/models/resnext.py:52
Method
forward
(self, input)
pretrainedmodels/models/resnext.py:73
Method
forward
(self, x)
pretrainedmodels/models/pnasnet.py:40
Method
forward
(self, x)
pretrainedmodels/models/pnasnet.py:61
Method
forward
(self, x)
pretrainedmodels/models/pnasnet.py:86
Method
forward
(self, x)
pretrainedmodels/models/pnasnet.py:110
Method
forward
(self, x)
pretrainedmodels/models/pnasnet.py:135
Method
forward
(self, x_left)
pretrainedmodels/models/pnasnet.py:220
Method
forward
(self, x_left, x_right)
pretrainedmodels/models/pnasnet.py:284
Method
forward
(self, input)
pretrainedmodels/models/pnasnet.py:366
Method
forward
(self, x)
pretrainedmodels/models/senet.py:97
Method
forward
(self, x)
pretrainedmodels/models/senet.py:111
Method
forward
(self, x)
pretrainedmodels/models/senet.py:363
Method
forward
(self, x)
pretrainedmodels/models/vggm.py:40
Method
forward
(self, input)
pretrainedmodels/models/vggm.py:64
Method
forward
(self, x)
pretrainedmodels/models/vggm.py:99
Method
forward
(self, x)
pretrainedmodels/models/dpn.py:213
Method
forward
(self, x)
pretrainedmodels/models/dpn.py:226
Method
forward
(self, x)
pretrainedmodels/models/dpn.py:240
Method
forward
(self, x)
pretrainedmodels/models/dpn.py:285
Method
forward
(self, input)
pretrainedmodels/models/dpn.py:386
Method
forward
(self, x)
pretrainedmodels/models/dpn.py:447
Method
forward
(self, x)
pretrainedmodels/models/nasnet.py:39
Method
forward
(self, x)
pretrainedmodels/models/nasnet.py:53
Method
forward
(self, x)
pretrainedmodels/models/nasnet.py:71
Method
forward
(self, x)
pretrainedmodels/models/nasnet.py:88
Method
forward
(self, x)
pretrainedmodels/models/nasnet.py:109
Method
forward
(self, x)
pretrainedmodels/models/nasnet.py:125
Method
forward
(self, x)
pretrainedmodels/models/nasnet.py:161
Method
forward
(self, x_conv0, x_stem_0)
pretrainedmodels/models/nasnet.py:223
Method
forward
(self, x, x_prev)
pretrainedmodels/models/nasnet.py:293
Method
forward
(self, x, x_prev)
pretrainedmodels/models/nasnet.py:356
Method
forward
(self, x, x_prev)
pretrainedmodels/models/nasnet.py:410
Method
forward
(self, x, x_prev)
pretrainedmodels/models/nasnet.py:465
Method
forward
(self, input)
pretrainedmodels/models/nasnet.py:602
Method
forward
(self, x)
pretrainedmodels/models/fbresnet.py:46
Method
forward
(self, x)
pretrainedmodels/models/fbresnet.py:81
Method
forward
(self, input)
pretrainedmodels/models/fbresnet.py:170
Method
forward
(self, x)
pretrainedmodels/models/polynet.py:33
Method
forward
(self, x, block_index)
pretrainedmodels/models/polynet.py:59
Method
forward
(self, x)
pretrainedmodels/models/polynet.py:91
Method
forward
(self, x)
pretrainedmodels/models/polynet.py:125
Method
forward
(self, x)
pretrainedmodels/models/polynet.py:147
Method
forward
(self, x)
pretrainedmodels/models/polynet.py:168
Method
forward
(self, x)
pretrainedmodels/models/polynet.py:191
Method
forward
(self, x)
pretrainedmodels/models/polynet.py:220
Method
forward
(self, x)
pretrainedmodels/models/polynet.py:269
Method
forward
(self, x)
pretrainedmodels/models/polynet.py:319
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