MCPcopy Create free account

hub / github.com/MingtaoGuo/StyleSwap / functions

Functions255 in github.com/MingtaoGuo/StyleSwap

⨍ Functions 255◇ Types & classes 59↳ Endpoints 1
Methodforward
(self, inputs, id_emb, return_latents=False, inject_index=None, trunca
face_model/gpen_model.py:704
Methodforward
(self, input)
face_model/gpen_model.py:769
Methodforward
(self, X)
face_model/gpen_model.py:817
Methodforward
(self, x)
face_model/arcface.py:60
Methodforward
(self, x)
face_model/arcface.py:148
Methodforward
(ctx, grad_output, out, negative_slope, scale)
face_model/op/fused_act.py:27
Methodforward
(ctx, input, bias, negative_slope, scale)
face_model/op/fused_act.py:59
Methodforward
(self, input)
face_model/op/fused_act.py:88
Methodforward
( ctx, grad_output, kernel, grad_kernel, up, down, pad, g_pad, in_size, out_size )
face_model/op/upfirdn2d.py:25
Methodforward
(ctx, input, kernel, up, down, pad)
face_model/op/upfirdn2d.py:94
Functionfused_bias_act
face_model/op/fused_bias_act.cpp:11
Functiongather_grad
(params)
distributed.py:57
Methodget_current_errors
(self)
training/lpips/trainer.py:145
Methodget_current_visuals
(self)
training/lpips/trainer.py:154
Methodget_image_paths
(self)
training/lpips/trainer.py:200
Methodget_latent
(self, input)
face_model/gpen_model.py:504
Methodget_params
(self)
face_parsing/bisenet.py:54
Methodget_params
(self)
face_parsing/bisenet.py:132
Methodget_params
(self)
face_parsing/bisenet.py:167
Methodget_params
(self)
face_parsing/bisenet.py:217
Methodinitialize
INPUTS model - ['lpips'] for linearly calibrated network ['baseline'] for off-the-shelf network
training/lpips/trainer.py:19
Functioniresnet100
(pretrained=False, progress=True, **kwargs)
face_model/arcface.py:187
Functioniresnet18
(pretrained=False, progress=True, **kwargs)
face_model/arcface.py:172
Functioniresnet200
(pretrained=False, progress=True, **kwargs)
face_model/arcface.py:192
Functioniresnet34
(pretrained=False, progress=True, **kwargs)
face_model/arcface.py:177
Functionl2
(p0, p1, range=255.)
training/lpips/__init__.py:46
Functionload_image
(path)
training/lpips/__init__.py:103
Methodload_network
(self, network, network_label, epoch_label)
training/lpips/trainer.py:183
Methodmake_noise
(self)
face_model/gpen_model.py:485
Methodmean_latent
(self, n_latent)
face_model/gpen_model.py:496
Methodname
(self)
training/lpips/trainer.py:16
Functionnormalize_tensor
(in_feat,eps=1e-10)
training/lpips/__init__.py:42
Methodoptimize_parameters
(self)
training/lpips/trainer.py:97
Methodpredict
(self, image, task='Face Restoration', output_individual=False, broken_image=True)
misc/predict.py:56
Functionprint_network
(net)
training/lpips/lpips.py:214
Functionpsnr
(p0, p1, peak=255.)
training/lpips/__init__.py:49
Functionrandom_add_gaussian_noise
(img, sigma_range=(0, 1.0), gray_prob=0, clip=True, rounds=False)
training/data_loader/degradations.py:525
Functionrandom_add_gaussian_noise_pt
(img, sigma_range=(0, 1.0), gray_prob=0, clip=True, rounds=False)
training/data_loader/degradations.py:545
Functionrandom_add_jpg_compression
Randomly add JPG compression artifacts. Args: img (Numpy array): Input image, shape (h, w, c), range [0, 1], float32. quality_ran
training/data_loader/degradations.py:751
Functionrandom_add_poisson_noise
(img, scale_range=(0, 1.0), gray_prob=0, clip=True, rounds=False)
training/data_loader/degradations.py:695
Functionrandom_add_poisson_noise_pt
(img, scale_range=(0, 1.0), gray_prob=0, clip=True, rounds=False)
training/data_loader/degradations.py:715
Functionrandom_mixed_kernels
Randomly generate mixed kernels. Args: kernel_list (tuple): a list name of kernel types, support ['iso', 'aniso', 'skew', 'ge
training/data_loader/degradations.py:327
Functionrgb2lab
(in_img,mean_cent=False)
training/lpips/__init__.py:56
Methodsave_done
(self, flag=False)
training/lpips/trainer.py:203
Functionscore_2afc_dataset
Function computes Two Alternative Forced Choice (2AFC) score using distance function 'func' in dataset 'data_loader' INPUTS data_
training/lpips/trainer.py:208
Functionscore_jnd_dataset
Function computes JND score using distance function 'func' in dataset 'data_loader' INPUTS data_loader - CustomDatasetDataLoader object -
training/lpips/trainer.py:243
Methodset_input
(self, data)
training/lpips/trainer.py:109
Methodsetup
(self)
misc/predict.py:17
Functiontensor2tensorlab
(image_tensor,to_norm=True,mc_only=False)
training/lpips/__init__.py:71
Functiontensor2vec
(vector_tensor)
training/lpips/__init__.py:129
Functiontensorlab2tensor
(lab_tensor,return_inbnd=False)
training/lpips/__init__.py:85
Methodupdate_learning_rate
(self,nepoch_decay)
training/lpips/trainer.py:189
Functionupfirdn2d
face_model/op/upfirdn2d.cpp:12
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
training/lpips/__init__.py:146
Functionwarp_and_crop_face
(src_img, facial_pts, reference_pts=None,
align_faces.py:210
← previous201–255 of 255, ranked by callers