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github.com/ZPdesu/Barbershop
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Functions
391 in github.com/ZPdesu/Barbershop
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Functions
391
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Types & classes
93
Method
forward
(self, X)
losses/masked_lpips/pretrained_networks.py:85
Method
forward
(self, X)
losses/masked_lpips/pretrained_networks.py:128
Method
forward
(self, X)
losses/masked_lpips/pretrained_networks.py:172
Method
forward
(self, in0, in1, mask=None, retPerLayer=False)
losses/masked_lpips/networks_basic.py:92
Method
forward
(self, inp)
losses/masked_lpips/networks_basic.py:202
Method
forward
(self, d0, d1, eps=0.1)
losses/masked_lpips/networks_basic.py:252
Method
forward
(self, d0, d1, judge)
losses/masked_lpips/networks_basic.py:265
Method
forward
(self, in0, in1, retPerLayer=None)
losses/masked_lpips/networks_basic.py:305
Method
forward
(self)
losses/lpips/base_model.py:19
Method
forward
Pred and target are Variables. If normalize is True, assumes the images are between [0,1] and then scales them between [-1,+1]
losses/lpips/__init__.py:26
Method
forward
(self, X)
losses/lpips/pretrained_networks.py:36
Method
forward
(self, X)
losses/lpips/pretrained_networks.py:81
Method
forward
(self, X)
losses/lpips/pretrained_networks.py:121
Method
forward
(self, X)
losses/lpips/pretrained_networks.py:163
Method
forward
(self, in0, in1, retPerLayer=False)
losses/lpips/networks_basic.py:64
Method
forward
(self, inp)
losses/lpips/networks_basic.py:100
Method
forward
(self,d0,d1,eps=0.1)
losses/lpips/networks_basic.py:128
Method
forward
(self, d0, d1, judge)
losses/lpips/networks_basic.py:138
Method
forward
(self, in0, in1, retPerLayer=None)
losses/lpips/networks_basic.py:169
Function
fused_bias_act
models/stylegan2/op/fused_bias_act.cpp:11
Method
generate_im_from_w_space
(self, code, noises=None)
models/stylegan2/model.py:567
Method
generate_initial_intermediate
(self, code, noises=None)
models/stylegan2/model.py:575
Method
get_current_errors
(self)
losses/masked_lpips/dist_model.py:209
Method
get_current_errors
(self)
losses/masked_lpips/base_model.py:32
Method
get_current_errors
(self)
losses/lpips/dist_model.py:171
Method
get_current_errors
(self)
losses/lpips/base_model.py:31
Method
get_current_visuals
(self)
losses/masked_lpips/dist_model.py:219
Method
get_current_visuals
(self)
losses/masked_lpips/base_model.py:29
Method
get_current_visuals
(self)
losses/lpips/dist_model.py:180
Method
get_current_visuals
(self)
losses/lpips/base_model.py:28
Function
get_dims
models/face_parsing/modules/src/inplace_abn.h:39
Method
get_image_paths
(self)
losses/masked_lpips/base_model.py:23
Method
get_image_paths
(self)
losses/lpips/base_model.py:22
Method
get_latent
(self, input)
models/stylegan2/model.py:474
Method
get_param_str
(self)
utils/PCA_utils.py:10
Method
get_params
(self)
models/face_parsing/model.py:61
Method
get_params
(self)
models/face_parsing/model.py:139
Method
get_params
(self)
models/face_parsing/model.py:174
Method
get_params
(self)
models/face_parsing/model.py:224
Method
initialize
(self, use_gpu=True, gpu_ids=[0])
losses/masked_lpips/base_model.py:16
Method
initialize
(self, use_gpu=True, gpu_ids=[0])
losses/lpips/base_model.py:15
Function
l2
(p0, p1, range=255.0)
losses/masked_lpips/__init__.py:66
Function
l2
(p0, p1, range=255.)
losses/lpips/__init__.py:46
Function
leaky_relu_backward
models/face_parsing/modules/src/inplace_abn.cpp:62
Function
leaky_relu_forward
models/face_parsing/modules/src/inplace_abn.cpp:58
Method
load_network
(self, network, network_label, epoch_label)
losses/masked_lpips/base_model.py:45
Method
load_network
(self, network, network_label, epoch_label)
losses/lpips/base_model.py:44
Function
make_dataset
(dir)
utils/data_utils.py:20
Method
make_noise
(self)
models/stylegan2/model.py:455
Method
mean_latent
(self, n_latent)
models/stylegan2/model.py:466
Function
mean_var
models/face_parsing/modules/src/inplace_abn.cpp:7
Method
name
(self)
losses/masked_lpips/base_model.py:13
Method
name
(self)
losses/lpips/base_model.py:12
Function
normalize_tensor
(in_feat, eps=1e-10)
losses/masked_lpips/__init__.py:60
Function
normalize_tensor
(in_feat,eps=1e-10)
losses/lpips/__init__.py:42
Method
optimize_parameters
(self)
losses/masked_lpips/dist_model.py:156
Method
optimize_parameters
(self)
losses/masked_lpips/base_model.py:26
Method
optimize_parameters
(self)
losses/lpips/dist_model.py:120
Method
optimize_parameters
(self)
losses/lpips/base_model.py:25
Method
out_channels
(self)
models/face_parsing/modules/dense.py:31
Function
print_network
(net)
losses/masked_lpips/networks_basic.py:326
Function
print_network
(net)
losses/lpips/networks_basic.py:182
Function
psnr
(p0, p1, peak=255.0)
losses/masked_lpips/__init__.py:70
Function
psnr
(p0, p1, peak=255.)
losses/lpips/__init__.py:49
Function
reduce
models/face_parsing/modules/src/inplace_abn.h:55
Function
rgb2lab
(in_img, mean_cent=False)
losses/masked_lpips/__init__.py:78
Function
rgb2lab
(in_img,mean_cent=False)
losses/lpips/__init__.py:55
Method
save
(self, path, label)
losses/masked_lpips/dist_model.py:234
Method
save_done
(self, flag=False)
losses/masked_lpips/base_model.py:57
Method
save_done
(self, flag=False)
losses/lpips/base_model.py:56
Function
score_2afc_dataset
Function computes Two Alternative Forced Choice (2AFC) score using distance function 'func' in dataset 'data_loader' INPUTS data_l
losses/masked_lpips/dist_model.py:252
Function
score_2afc_dataset
Function computes Two Alternative Forced Choice (2AFC) score using distance function 'func' in dataset 'data_loader' INPUTS data_
losses/lpips/dist_model.py:212
Function
score_jnd_dataset
Function computes JND score using distance function 'func' in dataset 'data_loader' INPUTS data_loader - CustomDatasetDataLoader object -
losses/masked_lpips/dist_model.py:288
Function
score_jnd_dataset
Function computes JND score using distance function 'func' in dataset 'data_loader' INPUTS data_loader - CustomDatasetDataLoader object -
losses/lpips/dist_model.py:247
Method
set_input
(self, data)
losses/masked_lpips/dist_model.py:168
Method
set_input
(self, data)
losses/lpips/dist_model.py:132
Method
set_seed
(self)
models/Embedding.py:234
Function
tensor2tensorlab
(image_tensor, to_norm=True, mc_only=False)
losses/masked_lpips/__init__.py:97
Function
tensor2tensorlab
(image_tensor,to_norm=True,mc_only=False)
losses/lpips/__init__.py:70
Function
tensor2vec
(vector_tensor)
losses/masked_lpips/__init__.py:150
Function
tensor2vec
(vector_tensor)
losses/lpips/__init__.py:115
Function
tensorlab2tensor
(lab_tensor, return_inbnd=False)
losses/masked_lpips/__init__.py:112
Function
tensorlab2tensor
(lab_tensor,return_inbnd=False)
losses/lpips/__init__.py:84
Method
update_learning_rate
(self, nepoch_decay)
losses/masked_lpips/dist_model.py:241
Method
update_learning_rate
()
losses/masked_lpips/base_model.py:51
Method
update_learning_rate
(self,nepoch_decay)
losses/lpips/dist_model.py:202
Method
update_learning_rate
()
losses/lpips/base_model.py:50
Method
update_on_FS
(self, code, initial_intermediate, initial_F, initial_S, noises=None)
models/stylegan2/model.py:582
Function
upfirdn2d
models/stylegan2/op/upfirdn2d.cpp:12
Function
voc_ap
ap = voc_ap(rec, prec, [use_07_metric]) Compute VOC AP given precision and recall. If use_07_metric is true, uses the VOC 07 11 point meth
losses/masked_lpips/__init__.py:154
Function
voc_ap
ap = voc_ap(rec, prec, [use_07_metric]) Compute VOC AP given precision and recall. If use_07_metric is true, uses the VOC 07 11 point met
losses/lpips/__init__.py:118
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