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Functions391 in github.com/ZPdesu/Barbershop

⨍ Functions 391◇ Types & classes 93
Method__init__
(self, opt)
losses/blend_loss.py:7
Method__init__
(self, VGG16_ACTIVATIONS_LIST=[21], normalize=False, distance="l2")
losses/style/style_loss.py:12
Method__init__
(self, feature_idx)
losses/style/vgg_activations.py:13
Method__init__
(self, feature_idx, requires_grad=False)
losses/style/vgg_activations.py:31
Method__init__
(self)
losses/masked_lpips/base_model.py:10
Method__init__
( self, model="net-lin", net="alex", vgg_blocks=[1, 2, 3, 4, 5], color
losses/masked_lpips/__init__.py:14
Method__init__
(self, requires_grad=False, pretrained=True)
losses/masked_lpips/pretrained_networks.py:8
Method__init__
(self, requires_grad=False, pretrained=True)
losses/masked_lpips/pretrained_networks.py:62
Method__init__
(self, requires_grad=False, pretrained=True, num=18)
losses/masked_lpips/pretrained_networks.py:149
Method__init__
(self)
losses/masked_lpips/networks_basic.py:193
Method__init__
(self, chn_in, chn_out=1, use_dropout=False)
losses/masked_lpips/networks_basic.py:209
Method__init__
(self, chn_mid=32, use_sigmoid=True)
losses/masked_lpips/networks_basic.py:228
Method__init__
(self, chn_mid=32)
losses/masked_lpips/networks_basic.py:259
Method__init__
(self, use_gpu=True, colorspace="Lab")
losses/masked_lpips/networks_basic.py:273
Method__init__
(self)
losses/lpips/base_model.py:9
Method__init__
(self, model='net-lin', net='alex', colorspace='rgb', spatial=False, use_gpu=True, gpu_ids=[0])
losses/lpips/__init__.py:14
Method__init__
(self, requires_grad=False, pretrained=True)
losses/lpips/pretrained_networks.py:7
Method__init__
(self, requires_grad=False, pretrained=True)
losses/lpips/pretrained_networks.py:58
Method__init__
(self, requires_grad=False, pretrained=True, num=18)
losses/lpips/pretrained_networks.py:140
Method__init__
(self)
losses/lpips/networks_basic.py:95
Method__init__
(self, chn_in, chn_out=1, use_dropout=False)
losses/lpips/networks_basic.py:106
Method__init__
(self, chn_mid=32, use_sigmoid=True)
losses/lpips/networks_basic.py:116
Method__init__
(self, chn_mid=32)
losses/lpips/networks_basic.py:132
Method__init__
(self, use_gpu=True, colorspace='Lab')
losses/lpips/networks_basic.py:145
Method__len__
(self)
datasets/image_dataset.py:24
Method__repr__
(self)
models/face_parsing/modules/bn.py:74
Method__repr__
(self)
models/face_parsing/modules/bn.py:121
Method__repr__
(self)
models/stylegan2/model.py:127
Method__repr__
(self)
models/stylegan2/model.py:165
Method__repr__
(self)
models/stylegan2/model.py:232
Function_broadcast_shape
(x)
models/face_parsing/modules/functions.py:33
Function_check
(fn, *args, **kwargs)
models/face_parsing/modules/functions.py:27
Method_loss_face_percept
(self, gen_im, ref_im, mask, **kwargs)
losses/blend_loss.py:29
Method_loss_hair_percept
(self, gen_im, ref_im, mask, **kwargs)
losses/blend_loss.py:33
Method_loss_l2
(self, gen_im, ref_im, **kwargs)
losses/embedding_loss.py:25
Method_loss_lpips
(self, gen_im, ref_im, **kwargs)
losses/embedding_loss.py:29
Function_reduce
(x)
models/face_parsing/modules/functions.py:43
Functionatomic_add
models/face_parsing/modules/src/utils/common.h:23
Functionbackward
models/face_parsing/modules/src/inplace_abn.cpp:45
Methodbackward
(ctx, dz)
models/face_parsing/modules/functions.py:203
Methodbackward
(ctx, gradgrad_input, gradgrad_bias)
models/stylegan2/op/fused_act.py:42
Methodbackward
(ctx, grad_output)
models/stylegan2/op/fused_act.py:63
Methodbackward
(ctx, gradgrad_input)
models/stylegan2/op/upfirdn2d.py:63
Functiondssim
(p0, p1, range=255.0)
losses/masked_lpips/__init__.py:74
Functiondssim
(p0, p1, range=255.)
losses/lpips/__init__.py:52
Functionedz_eydz
models/face_parsing/modules/src/inplace_abn.cpp:32
Functionelu_backward
models/face_parsing/modules/src/inplace_abn.cpp:78
Functionelu_forward
models/face_parsing/modules/src/inplace_abn.cpp:74
Methodfit_partial
(self, X)
utils/PCA_utils.py:16
Functionforward
models/face_parsing/modules/src/inplace_abn.cpp:19
Methodforward
(self, x, nhwc=False, clip_round=False, byte_output=False)
utils/bicubic.py:37
Methodforward
(self, x)
models/face_parsing/model.py:32
Methodforward
(self, x)
models/face_parsing/model.py:50
Methodforward
(self, x)
models/face_parsing/model.py:82
Methodforward
(self, x)
models/face_parsing/model.py:110
Methodforward
(self, x)
models/face_parsing/model.py:161
Methodforward
(self, fsp, fcp)
models/face_parsing/model.py:206
Methodforward
(self, x)
models/face_parsing/model.py:247
Methodforward
(self, x)
models/face_parsing/resnet.py:36
Methodforward
(self, x)
models/face_parsing/resnet.py:71
Methodforward
(self, inputs)
models/face_parsing/modules/misc.py:10
Methodforward
(self, input)
models/face_parsing/modules/misc.py:19
Methodforward
(self, x)
models/face_parsing/modules/dense.py:34
Methodforward
(self, x)
models/face_parsing/modules/deeplab.py:50
Methodforward
(cls, ctx, x, weight, bias, running_mean, running_var, training=True, momentum=0.1, eps=1e-05,
models/face_parsing/modules/functions.py:141
Methodforward
(self, x)
models/face_parsing/modules/residual.py:77
Methodforward
(self, x)
models/face_parsing/modules/bn.py:61
Methodforward
(self, x)
models/face_parsing/modules/bn.py:107
Methodforward
(self, x)
models/face_parsing/modules/bn.py:117
Methodforward
(self, input)
models/stylegan2/model.py:20
Methodforward
(self, input)
models/stylegan2/model.py:50
Methodforward
(self, input)
models/stylegan2/model.py:71
Methodforward
(self, input)
models/stylegan2/model.py:90
Methodforward
(self, input)
models/stylegan2/model.py:116
Methodforward
(self, input)
models/stylegan2/model.py:153
Methodforward
(self, input)
models/stylegan2/model.py:177
Methodforward
(self, input, style)
models/stylegan2/model.py:238
Methodforward
(self, image, noise=None)
models/stylegan2/model.py:288
Methodforward
(self, input)
models/stylegan2/model.py:302
Methodforward
(self, input, style, noise=None)
models/stylegan2/model.py:337
Methodforward
(self, input, style, skip=None)
models/stylegan2/model.py:356
Methodforward
( self, styles, return_latents=False, inject_index=None,
models/stylegan2/model.py:477
Methodforward
(self, input)
models/stylegan2/model.py:657
Methodforward
(self, input)
models/stylegan2/model.py:707
Methodforward
(ctx, grad_output, out, negative_slope, scale)
models/stylegan2/op/fused_act.py:21
Methodforward
(ctx, input, bias, negative_slope, scale)
models/stylegan2/op/fused_act.py:53
Methodforward
(self, input)
models/stylegan2/op/fused_act.py:81
Methodforward
( ctx, grad_output, kernel, grad_kernel, up, down, pad, g_pad, in_size, out_size )
models/stylegan2/op/upfirdn2d.py:21
Methodforward
(ctx, input, kernel, up, down, pad)
models/stylegan2/op/upfirdn2d.py:90
Methodforward
(self, X)
losses/vgg_loss.py:28
Methodforward
(self, x, y)
losses/vgg_loss.py:46
Methodforward
(self, ref_im_H,ref_im_L, gen_im_H, gen_im_L)
losses/embedding_loss.py:35
Methodforward
(self, gen_im, im_1, im_3, mask_face, mask_hair)
losses/blend_loss.py:38
Methodforward
(self, x, x_hat, mask1=None, mask2=None)
losses/style/style_loss.py:98
Methodforward
(self, x)
losses/style/vgg_activations.py:20
Methodforward
(self, x)
losses/style/vgg_activations.py:39
Methodforward
(self, x)
losses/style/vgg_activations.py:133
Methodforward
(self)
losses/masked_lpips/base_model.py:20
Methodforward
Pred and target are Variables. If normalize is True, assumes the images are between [0,1] and then scales them between [-1,+1]
losses/masked_lpips/__init__.py:43
Methodforward
(self, X)
losses/masked_lpips/pretrained_networks.py:37
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