Functions — github.com/chi0tzp/WarpedGANSpace

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Functions310 in github.com/chi0tzp/WarpedGANSpace

⨍ Functions 310◇ Types & classes 95

Method_check_input_dim

(self, input)

models/BigGAN/sync_batchnorm/batchnorm.py:345

Method_data_parallel_master

Reduce the sum and square-sum, compute the statistics, and broadcast it.

models/BigGAN/sync_batchnorm/batchnorm.py:120

Method_forward_FAN

(self, images)

lib/evaluation/au_detector/AU_detector.py:18

MethodassertTensorClose

(self, x, y)

models/BigGAN/sync_batchnorm/unittest.py:16

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:62

Functionbboxlog

(x1, y1, x2, y2, axc, ayc, aww, ahh)

lib/evaluation/sfd/bbox.py:30

Functionbboxloginv

(dx, dy, dw, dh, axc, ayc, aww, ahh)

lib/evaluation/sfd/bbox.py:37

Methodcuda

(self, device=None)

models/SNGAN/distribution.py:11

Methoddetect_from_directory

Detects faces from all the images present in a given directory. Arguments: path {string} -- a string containing a path that po

lib/evaluation/sfd/core.py:76

Methoddetect_from_image

(self, tensor_or_path)

lib/evaluation/sfd/sfd_detector.py:15

Methoddetect_pose_batch

(self, image)

lib/evaluation/hopenet/pose_estimator.py:86

Functionencode

Encode the variances from the priorbox layers into the ground truth boxes we have matched (based on jaccard overlap) with the prior boxes. A

lib/evaluation/sfd/bbox.py:69

Methodextra_repr

(self)

models/BigGAN/layers.py:323

Functionflip_detect

(net, img, device)

lib/evaluation/sfd/detect.py:78

Methodforward

(self, x1, x2)

lib/reconstructor.py:71

Methodforward

(self, support_sets_mask, z)

lib/support_sets.py:81

Methodforward

(self, x, x_prime)

lib/evaluation/archface/arcface.py:21

Methodforward

(x)

lib/evaluation/archface/arcface.py:32

Methodforward

(self, x)

lib/evaluation/archface/arcface.py:53

Methodforward

(self, x)

lib/evaluation/archface/arcface.py:76

Methodforward

(self, x)

lib/evaluation/archface/arcface.py:100

Methodforward

(self, x)

lib/evaluation/archface/arcface.py:160

Methodforward

(self, x)

lib/evaluation/celeba_attributes/celeba_attr_predictor.py:30

Methodforward

(self, x)

lib/evaluation/celeba_attributes/celeba_attr_predictor.py:64

Methodforward

(self, x)

lib/evaluation/celeba_attributes/celeba_attr_predictor.py:97

Methodforward

(self, x)

lib/evaluation/celeba_attributes/celeba_attr_predictor.py:166

Methodforward

(self, x)

lib/evaluation/hopenet/hopenet.py:51

Methodforward

(self, x)

lib/evaluation/hopenet/hopenet.py:109

Methodforward

(self, x)

lib/evaluation/hopenet/hopenet.py:155

Methodforward

(self, x)

lib/evaluation/au_detector/hourglass.py:43

Methodforward

(self, x)

lib/evaluation/au_detector/hourglass.py:111

Methodforward

(self, x)

lib/evaluation/au_detector/hourglass.py:149

Methodforward

(self, x)

lib/evaluation/au_detector/hourglass.py:229

Methodforward

(self, x)

lib/evaluation/sfd/net_s3fd.py:16

Methodforward

(self, x)

lib/evaluation/sfd/net_s3fd.py:70

Methodforward

(self, z, shift=None)

models/gan_load.py:27

Methodforward

(self, z, shift=None)

models/gan_load.py:79

Methodforward

(self, z, shift=None)

models/gan_load.py:119

Methodforward

StyleGAN2 generator forward function. Args: z (torch.Tensor) : Batch of latent codes in Z-space shift (torch.Tens

models/gan_load.py:157

Methodforward

(self, input)

models/SNGAN/sn_gen_resnet.py:20

Methodforward

(self, x)

models/SNGAN/sn_gen_resnet.py:53

Methodforward

(self, batch_size)

models/SNGAN/sn_gen_resnet.py:70

Methodforward

(self, batch_size)

models/SNGAN/distribution.py:23

Methodforward

(self, batch_size)

models/SNGAN/distribution.py:31

Methodforward

(self, z, y)

models/BigGAN/BigGAN.py:222

Methodforward

(self, x, y=None)

models/BigGAN/BigGAN.py:386

Methodforward

(self, z, gy, x=None, dy=None, train_G=False, return_G_z=False, split_D=False)

models/BigGAN/BigGAN.py:410

Methodforward

(self, input)

models/BigGAN/layers.py:52

Methodforward

(self, x)

models/BigGAN/layers.py:107

Methodforward

(self, x)

models/BigGAN/layers.py:118

Methodforward

(self, x)

models/BigGAN/layers.py:134

Methodforward

(self, x, y=None)

models/BigGAN/layers.py:153

Methodforward

(self, x, gain, bias)

models/BigGAN/layers.py:231

Methodforward

(self, x, y)

models/BigGAN/layers.py:303

Methodforward

(self, x, y=None)

models/BigGAN/layers.py:356

Methodforward

(self, x, y)

models/BigGAN/layers.py:395

Methodforward

(self, x)

models/BigGAN/layers.py:441

Methodforward

(self, input_)

models/BigGAN/sync_batchnorm/batchnorm_reimpl.py:48

Methodforward

(self, input, gain=None, bias=None)

models/BigGAN/sync_batchnorm/batchnorm.py:48

Methodforward

(x)

models/StyleGAN2/model.py:14

Methodforward

(self, x)

models/StyleGAN2/model.py:44

Methodforward

(self, x)

models/StyleGAN2/model.py:63

Methodforward

(self, x)

models/StyleGAN2/model.py:80

Methodforward

(self, x)

models/StyleGAN2/model.py:100

Methodforward

(self, x)

models/StyleGAN2/model.py:127

Methodforward

(self, x)

models/StyleGAN2/model.py:144

Methodforward

(self, input, style)

models/StyleGAN2/model.py:187

Methodforward

(self, image, noise=None)

models/StyleGAN2/model.py:236

Methodforward

(self, x)

models/StyleGAN2/model.py:249

Methodforward

(self, x, style, noise=None)

models/StyleGAN2/model.py:266

Methodforward

(self, x, style, skip=None)

models/StyleGAN2/model.py:278

Methodforward

(self, styles, return_latents=False, inject_index=None, truncation=1, truncation_latent=None,

models/StyleGAN2/model.py:359

Methodforward

(self, x)

models/StyleGAN2/model.py:449

Methodforward

(self, x)

models/StyleGAN2/model.py:488

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:20

Methodforward

(ctx, input, kernel, up, down, pad)

models/StyleGAN2/op/upfirdn2d.py:89

Methodforward

(x)

models/ProgGAN/model.py:17

Methodforward

(self, x)

models/ProgGAN/model.py:28

Methodforward

(self, x)

models/ProgGAN/model.py:42

Methodforward

(self, x)

models/ProgGAN/model.py:57

Methodforward

(self, x)

models/ProgGAN/model.py:92

Functionfused_bias_act

models/StyleGAN2/op/fused_bias_act.cpp:11

Functioninit_func

(m)

lib/evaluation/au_detector/hourglass.py:186

Functionjson_exists

Check if given json file exists and contains a non-empty json object (an empty json object takes 2 bytes).

traverse_attribute_space.py:61

Methodmake_noise

(self)

models/StyleGAN2/model.py:337

Methodmean_latent

(self, n_latent)

models/StyleGAN2/model.py:348

Functionnew_replicate

(module, device_ids)

models/BigGAN/sync_batchnorm/replicate.py:89

Methodnr_slaves

(self)

models/BigGAN/sync_batchnorm/comm.py:136

Functionone_hot

(dims, value, idx)

traverse_latent_space.py:73

Functionpatch_replication_callback

Monkey-patch an existing `DataParallel` object. Add the replication callback. Useful when you have customized `DataParallel` implementation.

models/BigGAN/sync_batchnorm/replicate.py:70

Functionpts_to_bb

(pts)

lib/evaluation/sfd/detect.py:91

Methodreference_scale

(self)

lib/evaluation/sfd/core.py:126

Methodreference_scale

(self)

lib/evaluation/sfd/sfd_detector.py:44

Methodreference_x_shift

(self)

lib/evaluation/sfd/core.py:130

Methodreference_x_shift

(self)

lib/evaluation/sfd/sfd_detector.py:48

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