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Functions335 in github.com/SamvitJ/ReXCam

Method__init__
(self, num_classes, loss={'xent'}, bypass=True, **kwargs)
models/SqueezeNet.py:68
Method__init__
(self, in_c, out_c, k, s=1, p=0, g=1)
models/Xception.py:23
Method__init__
(self, nchannels)
models/Xception.py:47
Method__init__
(self, in_channels, out_channels)
models/Xception.py:109
Method__init__
(self, in_channels, out_channels, num_repeats)
models/Xception.py:122
Method__init__
(self, in_channels, nchannels)
models/Xception.py:137
Method__init__
(self, num_classes, loss={'xent'}, num_mid_flows=8, **kwargs)
models/Xception.py:166
Method__init__
(self, in_channels, out_channels, expansion_factor, stride)
models/MobileNet.py:32
Method__init__
(self, num_classes, loss={'xent'}, **kwargs)
models/MobileNet.py:58
Method__init__
(self, num_classes, loss={'xent'}, **kwargs)
models/ResNeXt.py:1410
Method__init__
(self, num_classes, loss={'xent'}, **kwargs)
models/ResNeXt.py:1451
Method__iter__
(self)
samplers.py:28
Method__len__
(self)
samplers.py:39
Method__len__
(self)
dataset_loader.py:31
Method__len__
(self)
dataset_loader.py:48
Method__len__
(self)
dataset_loader.py:71
Method__repr__
(self)
models/DPN.py:496
Method_deref
(ref)
data_manager.py:226
Method_extract_classic_split
(meta_data, test_split)
data_manager.py:264
Method_extract_img
(name)
data_manager.py:247
Method_extract_new_split
(split_dict, img_dir)
data_manager.py:325
Method_extract_set
(filelist, pids, pid2label, idxs, img_dir, relabel)
data_manager.py:312
Method_process_images
(img_refs, campid, pid, save_dir)
data_manager.py:229
Functiondpn107
(num_classes=1000, pretrained='imagenet+5k')
models/DPN.py:195
Functiondpn131
(num_classes=1000, pretrained='imagenet')
models/DPN.py:177
Functiondpn68
(num_classes=1000, pretrained='imagenet')
models/DPN.py:105
Functiondpn68b
(num_classes=1000, pretrained='imagenet+5k')
models/DPN.py:123
Functiondpn92
(num_classes=1000, pretrained='imagenet+5k')
models/DPN.py:141
Functiondpn98
(num_classes=1000, pretrained='imagenet')
models/DPN.py:159
Methodfactor
(self)
models/DPN.py:493
Methodflush
(self)
utils.py:71
Methodforward
Args: inputs: prediction matrix (before softmax) with shape (batch_size, num_classes) targets: ground truth labels wi
losses.py:45
Methodforward
Args: inputs: feature matrix with shape (batch_size, feat_dim) targets: ground truth labels with shape (num_classes)
losses.py:74
Methodforward
Args: x: feature matrix with shape (batch_size, feat_dim). labels: ground truth labels with shape (num_classes).
losses.py:120
Methodforward
(self, x)
losses.py:157
Methodforward
(self, x)
models/DenseNet.py:19
Methodforward
(self, x)
models/DPN.py:220
Methodforward
(self, x)
models/DPN.py:233
Methodforward
(self, x)
models/DPN.py:247
Methodforward
(self, x)
models/DPN.py:292
Methodforward
(self, input)
models/DPN.py:408
Methodforward
(self, x)
models/DPN.py:484
Methodforward
(self, x)
models/MuDeep.py:26
Methodforward
(self, x)
models/MuDeep.py:37
Methodforward
(self, x)
models/MuDeep.py:62
Methodforward
(self, x)
models/MuDeep.py:82
Methodforward
(self, x)
models/MuDeep.py:111
Methodforward
(self, x1, x2, x3, x4)
models/MuDeep.py:131
Methodforward
(self, x)
models/MuDeep.py:167
Methodforward
(self, x)
models/NASNet.py:61
Methodforward
(self, x)
models/NASNet.py:75
Methodforward
(self, x)
models/NASNet.py:93
Methodforward
(self, x)
models/NASNet.py:111
Methodforward
(self, x)
models/NASNet.py:137
Methodforward
(self, x)
models/NASNet.py:153
Methodforward
(self, x)
models/NASNet.py:189
Methodforward
(self, x_conv0, x_stem_0)
models/NASNet.py:254
Methodforward
(self, x, x_prev)
models/NASNet.py:324
Methodforward
(self, x, x_prev)
models/NASNet.py:387
Methodforward
(self, x, x_prev)
models/NASNet.py:441
Methodforward
(self, x, x_prev)
models/NASNet.py:499
Methodforward
(self, input)
models/NASNet.py:628
Methodforward
(self, x)
models/ShuffleNet.py:15
Methodforward
(self, x)
models/ShuffleNet.py:42
Methodforward
(self, x)
models/ShuffleNet.py:109
Methodforward
(self, x)
models/HACNN.py:26
Methodforward
(self, x)
models/HACNN.py:56
Methodforward
(self, x)
models/HACNN.py:88
Methodforward
(self, x)
models/HACNN.py:102
Methodforward
(self, x)
models/HACNN.py:121
Methodforward
(self, x)
models/HACNN.py:140
Methodforward
(self, x)
models/HACNN.py:158
Methodforward
(self, x)
models/HACNN.py:173
Methodforward
(self, x)
models/HACNN.py:270
Methodforward
(self, x)
models/InceptionResNetV2.py:53
Methodforward
(self, x)
models/InceptionResNetV2.py:83
Methodforward
(self, x)
models/InceptionResNetV2.py:115
Methodforward
(self, x)
models/InceptionResNetV2.py:141
Methodforward
(self, x)
models/InceptionResNetV2.py:167
Methodforward
(self, x)
models/InceptionResNetV2.py:200
Methodforward
(self, x)
models/InceptionResNetV2.py:229
Methodforward
(self, input)
models/InceptionResNetV2.py:366
Methodforward
(self, x)
models/SEResNet.py:98
Methodforward
(self, x)
models/SEResNet.py:112
Methodforward
(self, x)
models/SEResNet.py:364
Methodforward
(self, x)
models/SEResNet.py:456
Methodforward
(self, x)
models/SEResNet.py:484
Methodforward
(self, x)
models/SEResNet.py:512
Methodforward
(self, x)
models/SEResNet.py:540
Methodforward
(self, x)
models/InceptionV4.py:53
Methodforward
(self, x)
models/InceptionV4.py:67
Methodforward
(self, x)
models/InceptionV4.py:91
Methodforward
(self, x)
models/InceptionV4.py:105
Methodforward
(self, x)
models/InceptionV4.py:134
Methodforward
(self, x)
models/InceptionV4.py:157
Methodforward
(self, x)
models/InceptionV4.py:190
Methodforward
(self, x)
models/InceptionV4.py:218
Methodforward
(self, x)
models/InceptionV4.py:248
Methodforward
(self, input)
models/InceptionV4.py:312
Methodforward
(self, x)
models/InceptionV4.py:352
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