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Functions284 in github.com/SHShim0513/SD-VITON

⨍ Functions 284◇ Types & classes 77
Methodforward
(self, X)
eval_models/pretrained_networks.py:36
Methodforward
(self, X)
eval_models/pretrained_networks.py:81
Methodforward
(self, X)
eval_models/pretrained_networks.py:121
Methodforward
(self, X)
eval_models/pretrained_networks.py:163
Methodforward
(self, in0, in1, retPerLayer=False)
eval_models/networks_basic.py:64
Methodforward
(self, inp)
eval_models/networks_basic.py:100
Methodforward
(self,d0,d1,eps=0.1)
eval_models/networks_basic.py:128
Methodforward
(self, d0, d1, judge)
eval_models/networks_basic.py:138
Methodforward
(self, in0, in1, retPerLayer=None)
eval_models/networks_basic.py:169
Methodforward
(self, input_)
sync_batchnorm/batchnorm_reimpl.py:48
Methodforward
(self, input)
sync_batchnorm/batchnorm.py:50
Methodforward
(self, x)
pg_modules/blocks.py:35
Methodforward
(self, feat)
pg_modules/blocks.py:43
Methodforward
(self, noise)
pg_modules/blocks.py:60
Methodforward
(self, x, c)
pg_modules/blocks.py:85
Methodforward
(self, x, c)
pg_modules/blocks.py:121
Methodforward
(self, feat_small, feat_big)
pg_modules/blocks.py:149
Methodforward
(self, x)
pg_modules/blocks.py:164
Methodforward
(self, feat)
pg_modules/blocks.py:187
Methodforward
(self, feat)
pg_modules/blocks.py:201
Methodforward
(self, x)
pg_modules/blocks.py:214
Methodforward
(self, *xs)
pg_modules/blocks.py:233
Methodforward
(self, feat, noise=None)
pg_modules/blocks.py:256
Methodforward
(self, x, y)
pg_modules/blocks.py:282
Methodforward
Forward pass. Args: x (tensor): input Returns: tensor: interpolated data
pg_modules/blocks.py:307
Methodforward
(self, x, c)
pg_modules/discriminator.py:56
Methodforward
(self, x, c)
pg_modules/discriminator.py:117
Methodforward
(self, features, c)
pg_modules/discriminator.py:155
Methodforward
(self, x, c=None)
pg_modules/discriminator.py:195
Methodforward
(self, z, c, **kwargs)
pg_modules/networks_fastgan.py:17
Methodforward
(self, input, c, **kwargs)
pg_modules/networks_fastgan.py:58
Methodforward
(self, input, c, update_emas=False)
pg_modules/networks_fastgan.py:122
Methodforward
(self, z, c, **kwargs)
pg_modules/networks_fastgan.py:175
Methodforward
(self, x)
pg_modules/networks_stylegan2.py:106
Methodforward
(self, x, gain=1)
pg_modules/networks_stylegan2.py:165
Methodforward
(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False)
pg_modules/networks_stylegan2.py:223
Methodforward
(self, x, w, noise_mode='random', fused_modconv=True, gain=1)
pg_modules/networks_stylegan2.py:300
Methodforward
(self, x, w, fused_modconv=True)
pg_modules/networks_stylegan2.py:341
Methodforward
(self, x, img, ws, force_fp32=False, fused_modconv=None, update_emas=False, **layer_kwargs)
pg_modules/networks_stylegan2.py:404
Methodforward
(self, ws, c=None, **block_kwargs)
pg_modules/networks_stylegan2.py:489
Methodforward
(self, z, c, truncation_psi=1, truncation_cutoff=None, update_emas=False, **synthesis_kwargs)
pg_modules/networks_stylegan2.py:534
Methodforward
(self, x)
pg_modules/projector.py:112
Functiongen_noise
(shape)
utils.py:21
Functionget_clothes_mask
(old_label)
utils.py:9
Methodget_current_errors
(self)
eval_models/dist_model.py:171
Methodget_current_errors
(self)
eval_models/base_model.py:30
Methodget_current_visuals
(self)
eval_models/dist_model.py:180
Methodget_current_visuals
(self)
eval_models/base_model.py:27
Methodget_image_paths
(self)
eval_models/base_model.py:21
Methodinit_func
(m)
network_generator.py:21
Methodinitialize
(self, use_gpu=True, gpu_ids=[0])
eval_models/base_model.py:14
Functionl2
(p0, p1, range=255.)
eval_models/__init__.py:46
Functionlinear
(*args, **kwargs)
pg_modules/blocks.py:23
Methodload_network
(self, network, network_label, epoch_label)
eval_models/base_model.py:43
Methodname
(self)
cp_dataset_test.py:45
Methodname
(self)
cp_dataset.py:47
Methodname
(self)
eval_models/base_model.py:11
Functionnew_replicate
(module, device_ids)
sync_batchnorm/replicate.py:89
Methodnext_batch
(self)
cp_dataset_test.py:259
Functionnormalize_tensor
(in_feat,eps=1e-10)
eval_models/__init__.py:42
Methodnr_slaves
(self)
sync_batchnorm/comm.py:136
Methodoptimize_parameters
(self)
eval_models/dist_model.py:120
Methodoptimize_parameters
(self)
eval_models/base_model.py:24
Functionpatch_replication_callback
Monkey-patch an existing `DataParallel` object. Add the replication callback. Useful when you have customized `DataParallel` implementation.
sync_batchnorm/replicate.py:70
Functionprint_network
(net)
eval_models/networks_basic.py:182
Functionpsnr
(p0, p1, peak=255.)
eval_models/__init__.py:49
Functionrand_brightness
(x)
pg_modules/diffaug.py:22
Functionrand_contrast
(x)
pg_modules/diffaug.py:33
Functionrand_cutout
(x, ratio=0.2)
pg_modules/diffaug.py:55
Functionrand_saturation
(x)
pg_modules/diffaug.py:27
Functionrand_translation
(x, ratio=0.125)
pg_modules/diffaug.py:39
Methodreplicate
(self, module, device_ids)
sync_batchnorm/replicate.py:64
Functionrgb2lab
(in_img,mean_cent=False)
eval_models/__init__.py:55
Methodsave_done
(self, flag=False)
eval_models/base_model.py:55
Functionscore_2afc_dataset
Function computes Two Alternative Forced Choice (2AFC) score using distance function 'func' in dataset 'data_loader' INPUTS data_
eval_models/dist_model.py:212
Functionscore_jnd_dataset
Function computes JND score using distance function 'func' in dataset 'data_loader' INPUTS data_loader - CustomDatasetDataLoader object -
eval_models/dist_model.py:247
Methodset_input
(self, data)
eval_models/dist_model.py:132
Functiontensor2tensorlab
(image_tensor,to_norm=True,mc_only=False)
eval_models/__init__.py:70
Functiontensor2vec
(vector_tensor)
eval_models/__init__.py:115
Functiontensorlab2tensor
(lab_tensor,return_inbnd=False)
eval_models/__init__.py:84
Methodupdate_learning_rate
(self,nepoch_decay)
eval_models/dist_model.py:202
Methodupdate_learning_rate
()
eval_models/base_model.py:49
Functionvoc_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
eval_models/__init__.py:118
Functionweights_init
(m)
networks.py:510
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