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github.com/SamvitJ/ReXCam
/ functions
Functions
335 in github.com/SamvitJ/ReXCam
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Functions
335
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Types & classes
116
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
Function
dpn107
(num_classes=1000, pretrained='imagenet+5k')
models/DPN.py:195
Function
dpn131
(num_classes=1000, pretrained='imagenet')
models/DPN.py:177
Function
dpn68
(num_classes=1000, pretrained='imagenet')
models/DPN.py:105
Function
dpn68b
(num_classes=1000, pretrained='imagenet+5k')
models/DPN.py:123
Function
dpn92
(num_classes=1000, pretrained='imagenet+5k')
models/DPN.py:141
Function
dpn98
(num_classes=1000, pretrained='imagenet')
models/DPN.py:159
Method
factor
(self)
models/DPN.py:493
Method
flush
(self)
utils.py:71
Method
forward
Args: inputs: prediction matrix (before softmax) with shape (batch_size, num_classes) targets: ground truth labels wi
losses.py:45
Method
forward
Args: inputs: feature matrix with shape (batch_size, feat_dim) targets: ground truth labels with shape (num_classes)
losses.py:74
Method
forward
Args: x: feature matrix with shape (batch_size, feat_dim). labels: ground truth labels with shape (num_classes).
losses.py:120
Method
forward
(self, x)
losses.py:157
Method
forward
(self, x)
models/DenseNet.py:19
Method
forward
(self, x)
models/DPN.py:220
Method
forward
(self, x)
models/DPN.py:233
Method
forward
(self, x)
models/DPN.py:247
Method
forward
(self, x)
models/DPN.py:292
Method
forward
(self, input)
models/DPN.py:408
Method
forward
(self, x)
models/DPN.py:484
Method
forward
(self, x)
models/MuDeep.py:26
Method
forward
(self, x)
models/MuDeep.py:37
Method
forward
(self, x)
models/MuDeep.py:62
Method
forward
(self, x)
models/MuDeep.py:82
Method
forward
(self, x)
models/MuDeep.py:111
Method
forward
(self, x1, x2, x3, x4)
models/MuDeep.py:131
Method
forward
(self, x)
models/MuDeep.py:167
Method
forward
(self, x)
models/NASNet.py:61
Method
forward
(self, x)
models/NASNet.py:75
Method
forward
(self, x)
models/NASNet.py:93
Method
forward
(self, x)
models/NASNet.py:111
Method
forward
(self, x)
models/NASNet.py:137
Method
forward
(self, x)
models/NASNet.py:153
Method
forward
(self, x)
models/NASNet.py:189
Method
forward
(self, x_conv0, x_stem_0)
models/NASNet.py:254
Method
forward
(self, x, x_prev)
models/NASNet.py:324
Method
forward
(self, x, x_prev)
models/NASNet.py:387
Method
forward
(self, x, x_prev)
models/NASNet.py:441
Method
forward
(self, x, x_prev)
models/NASNet.py:499
Method
forward
(self, input)
models/NASNet.py:628
Method
forward
(self, x)
models/ShuffleNet.py:15
Method
forward
(self, x)
models/ShuffleNet.py:42
Method
forward
(self, x)
models/ShuffleNet.py:109
Method
forward
(self, x)
models/HACNN.py:26
Method
forward
(self, x)
models/HACNN.py:56
Method
forward
(self, x)
models/HACNN.py:88
Method
forward
(self, x)
models/HACNN.py:102
Method
forward
(self, x)
models/HACNN.py:121
Method
forward
(self, x)
models/HACNN.py:140
Method
forward
(self, x)
models/HACNN.py:158
Method
forward
(self, x)
models/HACNN.py:173
Method
forward
(self, x)
models/HACNN.py:270
Method
forward
(self, x)
models/InceptionResNetV2.py:53
Method
forward
(self, x)
models/InceptionResNetV2.py:83
Method
forward
(self, x)
models/InceptionResNetV2.py:115
Method
forward
(self, x)
models/InceptionResNetV2.py:141
Method
forward
(self, x)
models/InceptionResNetV2.py:167
Method
forward
(self, x)
models/InceptionResNetV2.py:200
Method
forward
(self, x)
models/InceptionResNetV2.py:229
Method
forward
(self, input)
models/InceptionResNetV2.py:366
Method
forward
(self, x)
models/SEResNet.py:98
Method
forward
(self, x)
models/SEResNet.py:112
Method
forward
(self, x)
models/SEResNet.py:364
Method
forward
(self, x)
models/SEResNet.py:456
Method
forward
(self, x)
models/SEResNet.py:484
Method
forward
(self, x)
models/SEResNet.py:512
Method
forward
(self, x)
models/SEResNet.py:540
Method
forward
(self, x)
models/InceptionV4.py:53
Method
forward
(self, x)
models/InceptionV4.py:67
Method
forward
(self, x)
models/InceptionV4.py:91
Method
forward
(self, x)
models/InceptionV4.py:105
Method
forward
(self, x)
models/InceptionV4.py:134
Method
forward
(self, x)
models/InceptionV4.py:157
Method
forward
(self, x)
models/InceptionV4.py:190
Method
forward
(self, x)
models/InceptionV4.py:218
Method
forward
(self, x)
models/InceptionV4.py:248
Method
forward
(self, input)
models/InceptionV4.py:312
Method
forward
(self, x)
models/InceptionV4.py:352
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