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Functions391 in github.com/ZPdesu/Barbershop

⨍ Functions 391◇ Types & classes 93

↓ 1 callersMethodinit_weight

models/face_parsing/model.py:218

↓ 1 callersMethodinit_weight

models/face_parsing/model.py:262

↓ 1 callersMethodinit_weight

models/face_parsing/resnet.py:82

↓ 1 callersMethodinitialize

INPUTS model - ['net-lin'] for linearly calibrated network ['net'] for off-the-shelf network

losses/masked_lpips/dist_model.py:28

↓ 1 callersMethodinitialize

INPUTS model - ['net-lin'] for linearly calibrated network ['net'] for off-the-shelf network

losses/lpips/dist_model.py:28

↓ 1 callersMethodinvert_images_in_FS

(self, image_path=None)

models/Embedding.py:132

↓ 1 callersMethodinvert_images_in_W

(self, image_path=None)

models/Embedding.py:97

↓ 1 callersFunctionis_image_file

utils/data_utils.py:15

↓ 1 callersFunctionis_url

Determine whether the given object is a valid URL string.

utils/drive.py:14

↓ 1 callersFunctionleaky_relu_backward_cpu

models/face_parsing/modules/src/inplace_abn_cpu.cpp:85

↓ 1 callersMethodload_PCA_model

models/Net.py:55

↓ 1 callersMethodload_downsampling

models/Embedding.py:29

↓ 1 callersMethodload_downsampling

models/Alignment.py:51

↓ 1 callersMethodload_downsampling

models/Blending.py:41

↓ 1 callersMethodload_segmentation_network

models/Alignment.py:40

↓ 1 callersMethodload_segmentation_network

models/Blending.py:46

↓ 1 callersMethodload_weights

models/Net.py:19

↓ 1 callersFunctionmain

↓ 1 callersFunctionmean_var_cpu

models/face_parsing/modules/src/inplace_abn_cpu.cpp:45

↓ 1 callersMethodname

losses/masked_lpips/dist_model.py:25

↓ 1 callersMethodname

losses/lpips/dist_model.py:25

↓ 1 callersFunctionopen_url

Download the given URL and return a binary-mode file object to access the data.

utils/drive.py:30

↓ 1 callersFunctionrequires_grad

(model, flag=True)

losses/style/vgg_activations.py:7

↓ 1 callersMethodreset_parameters

(self, activation, slope)

models/face_parsing/modules/deeplab.py:37

↓ 1 callersMethodreset_parameters

models/face_parsing/modules/bn.py:54

↓ 1 callersMethodsave_FS_results

(self, ref_name, gen_im, latent_in, latent_F)

models/Embedding.py:219

↓ 1 callersMethodsave_W_intermediate_results

(self, ref_name, gen_im, latent_in, step)

models/Embedding.py:203

↓ 1 callersMethodsave_W_results

(self, ref_name, gen_im, latent_in)

models/Embedding.py:188

↓ 1 callersMethodsave_align_results

(self, im_name_1, im_name_2, sign, gen_im, latent_in, latent_F, save_intermediate=True)

models/Alignment.py:360

↓ 1 callersMethodsave_blend_results

(self, im_name_1, im_name_2, im_name_3, sign, gen_im, latent_in, latent_F)

models/Blending.py:140

↓ 1 callersFunctionsave_vis_mask

(img_path1, img_path2, sign, output_dir, mask)

utils/seg_utils.py:38

↓ 1 callersMethodsetup_FS_optimizer

(self, latent_W, F_init)

models/Embedding.py:59

↓ 1 callersMethodsetup_W_optimizer

models/Embedding.py:33

↓ 1 callersMethodsetup_align_loss_builder

models/Alignment.py:56

↓ 1 callersMethodsetup_blend_loss_builder

models/Blending.py:66

↓ 1 callersMethodsetup_blend_optimizer

models/Blending.py:58

↓ 1 callersMethodsetup_embedding_loss_builder

models/Embedding.py:93

↓ 1 callersFunctionsharpen

models/face_parsing/makeup.py:7

↓ 1 callersMethodstyle_loss

(self, im1, im2, mask1, mask2)

losses/align_loss.py:32

↓ 1 callersFunctiontensor2im

(image_tensor, imtype=np.uint8, cent=1.0, factor=255.0 / 2.0)

losses/masked_lpips/__init__.py:138

↓ 1 callersFunctiontensor2im

(image_tensor, imtype=np.uint8, cent=1., factor=255./2.)

losses/lpips/__init__.py:106

↓ 1 callersFunctiontensor2np

losses/masked_lpips/__init__.py:87

↓ 1 callersFunctiontensor2np

losses/lpips/__init__.py:62

↓ 1 callersFunctionupfirdn2d_native

( input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1 )

models/stylegan2/op/upfirdn2d.py:159

↓ 1 callersFunctionvis_seg

utils/seg_utils.py:5

FunctionPYBIND11_MODULE

models/face_parsing/modules/src/inplace_abn.cpp:86

FunctionPYBIND11_MODULE

models/stylegan2/op/fused_bias_act.cpp:19

FunctionPYBIND11_MODULE

models/stylegan2/op/upfirdn2d.cpp:21

models/face_parsing/transform.py:14

models/face_parsing/transform.py:39

models/face_parsing/transform.py:64

models/face_parsing/transform.py:84

models/face_parsing/transform.py:102

models/face_parsing/transform.py:114

Method__getitem__

datasets/image_dataset.py:27

(self, factor=4, cuda=True, padding='reflect')

utils/bicubic.py:20

(self, n_components)

utils/PCA_utils.py:4

(self, opts, image_path=None)

datasets/image_dataset.py:10

models/Embedding.py:20

(self, opts, net=None)

models/Alignment.py:28

models/Net.py:10

(self, opts, net=None)

models/Blending.py:27

(self, size, *args, **kwargs)

models/face_parsing/transform.py:11

(self, p=0.5, *args, **kwargs)

models/face_parsing/transform.py:36

(self, scales=(1, ), *args, **kwargs)

models/face_parsing/transform.py:61

(self, brightness=None, contrast=None, saturation=None, *args, **kwargs)

models/face_parsing/transform.py:76

models/face_parsing/transform.py:99

(self, do_list)

models/face_parsing/transform.py:111

(self, in_chan, out_chan, ks=3, stride=1, padding=1, *args, **kwargs)

models/face_parsing/model.py:21

(self, in_chan, mid_chan, n_classes, *args, **kwargs)

models/face_parsing/model.py:44

(self, in_chan, out_chan, *args, **kwargs)

models/face_parsing/model.py:74

(self, *args, **kwargs)

models/face_parsing/model.py:99

(self, *args, **kwargs)

models/face_parsing/model.py:153

(self, in_chan, out_chan, *args, **kwargs)

models/face_parsing/model.py:187

(self, in_chan, out_chan, stride=1)

models/face_parsing/resnet.py:21

Global average pooling over the input's spatial dimensions

models/face_parsing/modules/misc.py:6

(self, in_channels, growth, layers, bottleneck_factor=4, norm_act=ABN, dilation=1)

models/face_parsing/modules/dense.py:10

(self, in_channels, out_channels, hidden_channels=256,

models/face_parsing/modules/deeplab.py:10

Configurable identity-mapping residual block Parameters ---------- in_channels : int Number of input channels.

models/face_parsing/modules/residual.py:9

Creates an InPlace Activated Batch Normalization module Parameters ---------- num_features : int Number of featur

models/face_parsing/modules/bn.py:87

(self, optimizer, params, **kwargs)

models/optimizer/ClampOptimizer.py:7

models/stylegan2/model.py:17

(self, kernel, factor=2)

models/stylegan2/model.py:36

(self, kernel, factor=2)

models/stylegan2/model.py:57

( self, in_channel, out_channel, kernel_size, stride=1, padding=0, bias=True )

models/stylegan2/model.py:97

( self, in_dim, out_dim, bias=True, bias_init=0, lr_mul=1, activation=None )

models/stylegan2/model.py:135

(self, negative_slope=0.2)

models/stylegan2/model.py:172

( self, in_channel, out_channel, kernel_size, style_dim, demod

models/stylegan2/model.py:184

models/stylegan2/model.py:283

(self, channel, size=4)

models/stylegan2/model.py:297

( self, in_channel, out_channel, kernel_size, style_dim, upsam

models/stylegan2/model.py:310

(self, in_channel, style_dim, upsample=True, blur_kernel=[1, 3, 3, 1])

models/stylegan2/model.py:347

( self, size, style_dim, n_mlp, channel_multiplier=2, blur_ker

models/stylegan2/model.py:369

( self, in_channel, out_channel, kernel_size, downsample=False,

models/stylegan2/model.py:598

(self, in_channel, out_channel, blur_kernel=[1, 3, 3, 1])

models/stylegan2/model.py:647

(self, size, channel_multiplier=2, blur_kernel=[1, 3, 3, 1])

models/stylegan2/model.py:668

(self, channel, negative_slope=0.2, scale=2 ** 0.5)

models/stylegan2/op/fused_act.py:74

losses/vgg_loss.py:40

losses/embedding_loss.py:8

losses/align_loss.py:5

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