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Functions335 in github.com/SamvitJ/ReXCam

⨍ Functions 335◇ Types & classes 116

models/ResNet.py:19

models/ResNet.py:47

models/ResNet.py:89

models/SqueezeNet.py:26

models/SqueezeNet.py:35

models/SqueezeNet.py:56

models/SqueezeNet.py:86

models/Xception.py:28

models/Xception.py:43

models/Xception.py:90

models/Xception.py:115

models/Xception.py:133

models/Xception.py:149

models/Xception.py:176

models/MobileNet.py:28

models/MobileNet.py:43

models/MobileNet.py:94

models/ResNeXt.py:29

models/ResNeXt.py:33

models/ResNeXt.py:37

models/ResNeXt.py:1427

models/ResNeXt.py:1468

Functionget_names

data_manager.py:1833

Functionget_names

models/__init__.py:40

Functioninceptionresnetv2

r"""InceptionResNetV2 model architecture from the `"InceptionV4, Inception-ResNet..." <https://arxiv.org/abs/1602.07261>`_ paper.

models/InceptionResNetV2.py:239

Functioninit_img_dataset

(name, **kwargs)

data_manager.py:1836

Functioninit_model

(name, *args, **kwargs)

models/__init__.py:43

Functioninit_vid_dataset

(name, **kwargs)

data_manager.py:1841

models/DPN.py:396

Functionnasnetamobile

r"""NASNetALarge model architecture from the `"NASNet" <https://arxiv.org/abs/1707.07012>`_ paper.

models/NASNet.py:648

Functionresnext101_32x4d

models/ResNeXt.py:1377

Functionresnext101_64x4d

models/ResNeXt.py:1392

Functionse_resnet152

(num_classes=1000, pretrained='imagenet')

models/SEResNet.py:413

Functionsenet154

(num_classes=1000, pretrained='imagenet')

models/SEResNet.py:382

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