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Functions373 in github.com/Cadene/pretrained-models.pytorch

Method__call__
(self, path_img)
pretrainedmodels/utils.py:102
Method__call__
(self, img)
pretrainedmodels/datasets/utils.py:37
Method__getitem__
(self, index)
pretrainedmodels/datasets/voc.py:248
Method__init__
(self, is_bgr)
pretrainedmodels/utils.py:11
Method__init__
(self, is_255)
pretrainedmodels/utils.py:25
Method__init__
(self, opts, scale=0.875, random_crop=False, random_hflip=False, random_vflip=False,
pretrainedmodels/utils.py:36
Method__init__
(self, space='RGB')
pretrainedmodels/utils.py:86
Method__init__
(self, model, scale=0.875)
pretrainedmodels/utils.py:98
Method__init__
(self)
pretrainedmodels/utils.py:110
Method__init__
(self, difficult_examples=False)
pretrainedmodels/datasets/utils.py:100
Method__init__
(self, root, set, transform=None, target_transform=None)
pretrainedmodels/datasets/voc.py:217
Method__init__
(self,in_channels,out_channels,kernel_size=1,stride=1,padding=0,dilation=1,bias=False)
pretrainedmodels/models/xception.py:51
Method__init__
Constructor Args: num_classes: number of classes
pretrainedmodels/models/xception.py:119
Method__init__
(self, in_planes, out_planes, kernel_size, stride, padding=0)
pretrainedmodels/models/inceptionv4.py:37
Method__init__
(self)
pretrainedmodels/models/inceptionv4.py:71
Method__init__
(self)
pretrainedmodels/models/inceptionv4.py:95
Method__init__
(self)
pretrainedmodels/models/inceptionv4.py:109
Method__init__
(self)
pretrainedmodels/models/inceptionv4.py:140
Method__init__
(self)
pretrainedmodels/models/inceptionv4.py:162
Method__init__
(self)
pretrainedmodels/models/inceptionv4.py:196
Method__init__
(self)
pretrainedmodels/models/inceptionv4.py:223
Method__init__
(self, num_classes=1001)
pretrainedmodels/models/inceptionv4.py:266
Method__init__
(self, in_planes, out_planes, kernel_size, stride, padding=0)
pretrainedmodels/models/inceptionresnetv2.py:36
Method__init__
(self)
pretrainedmodels/models/inceptionresnetv2.py:56
Method__init__
(self, scale=1.0)
pretrainedmodels/models/inceptionresnetv2.py:88
Method__init__
(self)
pretrainedmodels/models/inceptionresnetv2.py:122
Method__init__
(self, scale=1.0)
pretrainedmodels/models/inceptionresnetv2.py:145
Method__init__
(self)
pretrainedmodels/models/inceptionresnetv2.py:173
Method__init__
(self, num_classes=1001)
pretrainedmodels/models/inceptionresnetv2.py:236
Method__init__
(self, num_classes=1000)
pretrainedmodels/models/resnext.py:60
Method__init__
(self, kernel_size, stride=1, padding=1, zero_pad=False)
pretrainedmodels/models/pnasnet.py:35
Method__init__
(self, in_channels, out_channels, dw_kernel_size, dw_stride, dw_padding)
pretrainedmodels/models/pnasnet.py:51
Method__init__
(self, in_channels, out_channels, kernel_size, stride=1, stem_cell=False, zero_pad=False)
pretrainedmodels/models/pnasnet.py:69
Method__init__
(self, in_channels, out_channels, kernel_size, stride=1)
pretrainedmodels/models/pnasnet.py:102
Method__init__
(self, in_channels, out_channels)
pretrainedmodels/models/pnasnet.py:119
Method__init__
(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)
pretrainedmodels/models/pnasnet.py:183
Method__init__
(self, num_classes=1001)
pretrainedmodels/models/pnasnet.py:292
Method__init__
(self, channels, reduction)
pretrainedmodels/models/senet.py:87
Method__init__
(self, inplanes, planes, groups, reduction, stride=1, downsample=None)
pretrainedmodels/models/senet.py:140
Method__init__
(self, inplanes, planes, groups, reduction, stride=1, downsample=None)
pretrainedmodels/models/senet.py:166
Method__init__
(self, inplanes, planes, groups, reduction, stride=1, downsample=None, base_width=4)
pretrainedmodels/models/senet.py:189
Method__init__
(self, local_size=1, alpha=1.0, beta=0.75, k=1, ACROSS_CHANNELS=True)
pretrainedmodels/models/vggm.py:25
Method__init__
(self, fn, *args)
pretrainedmodels/models/vggm.py:53
Method__init__
(self, in_chs, activation_fn=nn.ReLU(inplace=True))
pretrainedmodels/models/dpn.py:208
Method__init__
(self, in_chs, out_chs, kernel_size, stride, padding=0, groups=1, activation_fn=nn.ReLU(inpla
pretrainedmodels/models/dpn.py:219
Method__init__
(self, num_init_features, kernel_size=7, padding=3, activation_fn=nn.ReLU(inplace=True))
pretrainedmodels/models/dpn.py:231
Method__init__
( self, in_chs, num_1x1_a, num_3x3_b, num_1x1_c, inc, groups, block_type='normal', b=False)
pretrainedmodels/models/dpn.py:249
Method__init__
(self, output_size=1, pool_type='avg')
pretrainedmodels/models/dpn.py:434
Method__init__
(self)
pretrainedmodels/models/nasnet.py:34
Method__init__
(self, stride=2, padding=1)
pretrainedmodels/models/nasnet.py:48
Method__init__
(self, in_channels, out_channels, dw_kernel, dw_stride, dw_padding, bias=False)
pretrainedmodels/models/nasnet.py:62
Method__init__
(self, in_channels, out_channels, kernel_size, stride, padding, bias=False)
pretrainedmodels/models/nasnet.py:79
Method__init__
(self, in_channels, out_channels, kernel_size, stride, padding, bias=False)
pretrainedmodels/models/nasnet.py:100
Method__init__
(self, in_channels, out_channels, kernel_size, stride, padding, z_padding=1, bias=False)
pretrainedmodels/models/nasnet.py:121
Method__init__
(self, stem_filters, num_filters)
pretrainedmodels/models/nasnet.py:189
Method__init__
(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)
pretrainedmodels/models/nasnet.py:262
Method__init__
(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)
pretrainedmodels/models/nasnet.py:331
Method__init__
(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)
pretrainedmodels/models/nasnet.py:384
Method__init__
(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)
pretrainedmodels/models/nasnet.py:439
Method__init__
(self, num_classes=1001, stem_filters=96, penultimate_filters=4032, filters_multiplier=2)
pretrainedmodels/models/nasnet.py:495
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
pretrainedmodels/models/fbresnet.py:36
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
pretrainedmodels/models/fbresnet.py:68
Method__init__
(self, in_planes, out_planes, kernel_size, stride=1, padding=0, output_relu=True)
pretrainedmodels/models/polynet.py:25
Method__init__
(self, in_planes, out_planes, kernel_size, num_blocks, stride=1, padding=0)
pretrainedmodels/models/polynet.py:49
Method__init__
(self)
pretrainedmodels/models/polynet.py:111
Method__init__
(self)
pretrainedmodels/models/polynet.py:137
Method__init__
(self)
pretrainedmodels/models/polynet.py:158
Method__init__
(self)
pretrainedmodels/models/polynet.py:181
Method__init__
(self)
pretrainedmodels/models/polynet.py:203
Method__init__
(self, scale, num_blocks)
pretrainedmodels/models/polynet.py:239
Method__init__
(self, scale, num_blocks)
pretrainedmodels/models/polynet.py:289
Method__init__
(self, scale, block_cls, num_blocks)
pretrainedmodels/models/polynet.py:332
Method__init__
(self, scale)
pretrainedmodels/models/polynet.py:351
Method__init__
(self, scale)
pretrainedmodels/models/polynet.py:358
Method__init__
(self, scale)
pretrainedmodels/models/polynet.py:365
Method__init__
(self, scale)
pretrainedmodels/models/polynet.py:372
Method__init__
(self, scale)
pretrainedmodels/models/polynet.py:378
Method__init__
(self, num_classes=1000)
pretrainedmodels/models/polynet.py:384
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
pretrainedmodels/models/cafferesnet.py:32
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
pretrainedmodels/models/cafferesnet.py:64
Method__init__
(self)
pretrainedmodels/models/nasnet_mobile.py:50
Method__init__
(self, stride=2, padding=1)
pretrainedmodels/models/nasnet_mobile.py:64
Method__init__
(self, in_channels, out_channels, dw_kernel, dw_stride, dw_padding, bias=False)
pretrainedmodels/models/nasnet_mobile.py:78
Method__init__
(self, in_channels, out_channels, kernel_size, stride, padding, name=None, bias=False)
pretrainedmodels/models/nasnet_mobile.py:95
Method__init__
(self, in_channels, out_channels, kernel_size, stride, padding, bias=False)
pretrainedmodels/models/nasnet_mobile.py:122
Method__init__
(self, in_channels, out_channels, kernel_size, stride, padding, z_padding=1, bias=False)
pretrainedmodels/models/nasnet_mobile.py:143
Method__init__
(self, stem_filters, num_filters)
pretrainedmodels/models/nasnet_mobile.py:211
Method__init__
(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)
pretrainedmodels/models/nasnet_mobile.py:287
Method__init__
(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)
pretrainedmodels/models/nasnet_mobile.py:356
Method__init__
(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)
pretrainedmodels/models/nasnet_mobile.py:409
Method__init__
(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)
pretrainedmodels/models/nasnet_mobile.py:464
Method__init__
(self, num_classes=1000, stem_filters=32, penultimate_filters=1056, filters_multiplier=2)
pretrainedmodels/models/nasnet_mobile.py:523
Method__init__
(self, pooling)
pretrainedmodels/models/wideresnet.py:60
Method__init__
(self, num_classes=1000)
pretrainedmodels/models/bninception.py:29
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
pretrainedmodels/models/fbresnet/resnet152_load.py:29
Method__init__
(self, inplanes, planes, stride=1, downsample=None)
pretrainedmodels/models/fbresnet/resnet152_load.py:61
Method__init__
(self, *args)
pretrainedmodels/models/resnext_features/resnext101_64x4d_features.py:8
Method__init__
(self, *args)
pretrainedmodels/models/resnext_features/resnext101_64x4d_features.py:26
Method__init__
(self, *args)
pretrainedmodels/models/resnext_features/resnext101_64x4d_features.py:34
Method__init__
(self, *args)
pretrainedmodels/models/resnext_features/resnext101_32x4d_features.py:8
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