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⨍ Functions 338◇ Types & classes 117

(self, inplanes, planes, stride=1, downsample=None, reduction=False)

(self, architecture)

(self, in_planes, out_planes, kernel_size, stride, padding=0)

inception_resnet2.py:65

inception_resnet2.py:105

(self, scale=1.0)

inception_resnet2.py:169

inception_resnet2.py:237

(self, scale=1.0)

inception_resnet2.py:283

inception_resnet2.py:339

(self, num_classes=1001)

inception_resnet2.py:465

(self, config, pts_num)

cpm_vgg16.py:20

(self,in_channels,out_channels,kernel_size=1,stride=1,padding=0,dilation=1,bias=False)

Constructor Args: num_classes: number of classes

(self, in_planes, out_planes, kernel_size, stride, padding=0)

inceptionv4.py:36

inceptionv4.py:70

inceptionv4.py:94

inceptionv4.py:108

inceptionv4.py:139

inceptionv4.py:161

inceptionv4.py:195

inceptionv4.py:222

(self, num_classes=1001)

inceptionv4.py:265

(self, inplanes, outplanes, stride=1)

(self, depth, nFeat, nModules, resBlock)

(self, nStacks, nModules, nFeat, nClasses, resBlock=HgResBlock, inplanes=128)

Init Parameters ---------- filters : int Number of channel of the input feature map init_normal_stdde

(self, channels, reduction)

MobileFaceNet.py:20

(self, in_channel, depth, stride)

MobileFaceNet.py:40

(self, in_channel, depth, stride)

MobileFaceNet.py:58

(self, num_layers, drop_ratio, mode='ir')

MobileFaceNet.py:110

(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1)

MobileFaceNet.py:145

(self, in_c, out_c, kernel=(1, 1), stride=(1, 1), padding=(0, 0), groups=1)

MobileFaceNet.py:157

(self, in_c, out_c, residual = False, kernel=(3, 3), stride=(2, 2), padding=(1, 1), groups=1)

MobileFaceNet.py:167

(self, c, num_block, groups, kernel=(3, 3), stride=(1, 1), padding=(1, 1))

MobileFaceNet.py:186

(self, embedding_size)

MobileFaceNet.py:196

(self,embedding_size=512,classnum=51332)

MobileFaceNet.py:286

(self, inplanes, planes, stride=1, downsample=None)

resnet_face.py:36

(self, inplanes, planes, stride=1, downsample=None, use_se=True)

resnet_face.py:68

(self, inplanes, planes, stride=1, downsample=None)

resnet_face.py:106

(self, channel, reduction=16)

resnet_face.py:143

(self, block, layers, use_se=True)

resnet_face.py:161

(self, data=None)

(self, rsp=None)

(self, data=None)

(self, data=None)

(self, data=None)

(self, data=None)

(self, in_planes, out_planes, kernel_size, stride, padding=0)

inception_resnet.py:36

inception_resnet.py:56

(self, scale=1.0)

inception_resnet.py:88

inception_resnet.py:122

(self, scale=1.0)

inception_resnet.py:145

inception_resnet.py:173

(self, num_classes=1001)

inception_resnet.py:236

(self, in_planes, out_planes, kernel_size, stride, padding=0)

cunet_inception_resnet.py:12

cunet_inception_resnet.py:32

(self, scale=1.0)

cunet_inception_resnet.py:64

cunet_inception_resnet.py:98

(self, scale=1.0)

cunet_inception_resnet.py:121

cunet_inception_resnet.py:149

(self, num_classes=68)

cunet_inception_resnet.py:212

(self,in_channels,out_channels,kernel_size=1,stride=1,padding=0,dilation=1,bias=False)

xception1.py:43

Constructor Args: num_classes: number of classes

xception1.py:112

(self, in_channels, out_channels, groups=3, grouped_conv=True, combine='add')

shufflenet_tf.py:57

shufflenet1.py:10

shufflenet1.py:51

(self, in_channels, out_channels, kernel_size=3, stride=2,padding=1)

BiSeNet_fenge.py:3

BiSeNet_fenge.py:14

(self, in_channels, out_channels)

BiSeNet_fenge.py:27

(self, num_classes,in_channels=1024)

BiSeNet_fenge.py:47

(self, num_classes=68)

bninception2renlian.py:29

(self, in_ch, out_ch)

unet-pytorch.py:10

nasnet_seperable.py:34

(self, stride=2, padding=1)

nasnet_seperable.py:48

(self, in_channels, out_channels, dw_kernel, dw_stride, dw_padding, bias=False)

nasnet_seperable.py:62

(self, in_channels, out_channels, kernel_size, stride, padding, bias=False)

nasnet_seperable.py:79

(self, in_channels, out_channels, kernel_size, stride, padding, bias=False)

nasnet_seperable.py:100

(self, in_channels, out_channels, kernel_size, stride, padding, z_padding=1, bias=False)

nasnet_seperable.py:121

(self, stem_filters, num_filters)

nasnet_seperable.py:189

(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)

nasnet_seperable.py:262

(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)

nasnet_seperable.py:331

(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)

nasnet_seperable.py:384

(self, in_channels_left, out_channels_left, in_channels_right, out_channels_right)

nasnet_seperable.py:439

(self, num_classes=1001, stem_filters=96, penultimate_filters=4032, filters_multiplier=2)

nasnet_seperable.py:495

(self, num_classes=68)

bninception.py:29

shufflenet_tf.py:118

shufflenet_tf.py:124

Method_do_upgrade_action_backup

Method_do_upgrade_action_prepare

Method_do_upgrade_action_upload

Method_from_response

Method_from_response

Method_from_response

Method_from_rsp_data

Method_from_rsp_data

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