Functions — github.com/Kibeom-Hong/Domain-Aware-Style-Transfer

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Functions166 in github.com/Kibeom-Hong/Domain-Aware-Style-Transfer

⨍ Functions 166◇ Types & classes 33

↓ 33 callersFunctiongram_matrix

(y)

utils.py:417

↓ 26 callersMethodinterpolate

(self, args)

baseline.py:494

↓ 13 callersFunctionfeature_wct_simple

(content_feat, style_feat, alpha=1)

utils.py:265

↓ 12 callersFunctionget_LL_HH

(x)

style_indicator.py:8

↓ 12 callersFunctionimsave

(tensor, path, nrow=4, npadding=0)

data/dataset_util.py:235

↓ 9 callersMethodtrain

(self)

baseline.py:110

↓ 8 callersMethod__init__

(self)

style_indicator.py:17

↓ 8 callersFunction_transformer

(imsize=None, cropsize=None, cencrop=False)

data/dataset_util.py:219

↓ 8 callersFunctionget_LL_HH

(x)

baseline_models.py:25

↓ 8 callersFunctionget_LL_HH

(x)

baseline_models_seg.py:25

↓ 8 callersMethodget_features

(self, x, level)

baseline_models.py:216

↓ 5 callersMethod__init__

(self, use_noise, sigma=0.2)

baseline_models.py:71

↓ 5 callersMethod__init__

(self, use_noise, sigma=0.2)

baseline_models_seg.py:74

↓ 5 callersMethod__init__

(self, root_path, imsize=None, cropsize=None, cencrop=False)

data/dataset_util.py:22

↓ 5 callersMethodget_alphas

(self, imgs)

baseline.py:558

↓ 4 callersFunction_normalizer

(denormalize=False)

data/dataset_util.py:208

↓ 4 callersFunctionones_like

(x)

utils.py:445

↓ 4 callersFunctionsvd

(feat, iden=False, device='cuda:0')

utils.py:14

↓ 3 callersMethod__len__

(self)

data/dataset_util.py:148

↓ 3 callersFunctioncompute_cx

(dist_tilde, band_width)

contextual_utils.py:114

↓ 3 callersFunctioncompute_l2_distance

(x, y)

contextual_utils.py:166

↓ 3 callersFunctioncompute_relative_distance

(dist_raw)

contextual_utils.py:120

↓ 3 callersFunctiongaussian_blur

(x, alpha)

baseline_models.py:32

↓ 3 callersFunctiongaussian_blur

(x, alpha)

baseline_models_seg.py:33

↓ 3 callersFunctionget_rank

(singular_values, dim, eps=0.00001)

utils.py:37

↓ 3 callersFunctionget_squeeze_feat

(feat)

utils.py:31

↓ 2 callersFunctionBw_wct_core

(content_feat, style_feat, weight=1, registers=None, device='cpu')

utils.py:189

↓ 2 callersFunctionSwitchWhiten2d

(x)

utils.py:118

↓ 2 callersFunctioncalc_mean_std

(feat, eps=1e-5)

AdaIN.py:92

↓ 2 callersFunctioncompute_cosine_distance

(x, y)

contextual_utils.py:126

↓ 2 callersFunctioncompute_l1_distance

(x: torch.Tensor, y: torch.Tensor)

contextual_utils.py:152

↓ 2 callersFunctioncompute_label_info

(content_segment, style_segment)

utils.py:391

↓ 2 callersFunctioncontextual_loss_v2

Computes contextual loss between x and y. Args: x: features of shape (N, C, H, W). y: features of shape (N, C, H, W).

contextual_utils.py:194

↓ 2 callersMethodconv2d_with_style_kernels

(self, features, kernels, patch_size, padding='zero', deconv_flag=False)

style_decorator.py:48

↓ 2 callersFunctioncovsqrt_mean

(feature, inverse=False, tolerance=1e-14)

utils.py:46

↓ 2 callersMethoddecode

(self, x, content_skips, style_skips, level, alphas=[], is_recon=True)

baseline_models.py:279

↓ 2 callersMethoddecode

(self, x, content_skips, style_skips, level, content_segment, style_segment, label_set, label_indicator, alpha

baseline_models_seg.py:288

↓ 2 callersMethodencode

(self, x, skips)

baseline_models.py:165

↓ 2 callersMethodencode

(self, x, skips)

baseline_models.py:380

↓ 2 callersMethodencode

(self, x, skips)

baseline_models_seg.py:168

↓ 2 callersMethodencode

(self, x, skips)

baseline_models_seg.py:424

↓ 2 callersFunctionget_HH_LL

(x)

baseline.py:33

↓ 2 callersFunctionget_index

(feat, label)

utils.py:214

↓ 2 callersFunctioninit_weights

(net)

utils.py:286

↓ 2 callersFunctionload_segment

(image_path, image_size=None)

utils.py:376

↓ 2 callersFunctionopen_image

(image_path, image_size=None)

utils.py:326

↓ 2 callersFunctionresize

(feat, target)

utils.py:207

↓ 2 callersFunctionsize_arrange

(x)

baseline_models.py:10

↓ 2 callersFunctionsize_arrange

(x)

baseline_models_seg.py:10

↓ 2 callersFunctionwhitening

(feature)

utils.py:79

↓ 2 callersFunctionzeros_like

(x)

utils.py:442

↓ 1 callersFunctionTVloss

Compute total variation loss. Inputs: - img: PyTorch Variable of shape (1, 3, H, W) holding an input image. - tv_weight: Scalar giving the weight

utils.py:424

↓ 1 callersFunction_normalizer

(denormalize=False)

utils.py:315

↓ 1 callersFunctionadaptive_instance_normalization

(content_feat, style_feat)

AdaIN.py:103

↓ 1 callersMethodbinarization_patch_score

(self, features)

style_decorator.py:77

↓ 1 callersFunctionchange_seg

(seg)

utils.py:341

↓ 1 callersFunctioncoloring

(feature, target)

utils.py:109

↓ 1 callersFunctioncompute_meshgrid

(shape)

contextual_utils.py:181

↓ 1 callersMethodcreate_window

(self, w_size, channel=1)

evaluation.py:42

↓ 1 callersMethoddecode

(self, x, content_skips, style_skips, level, alphas, is_recon=True)

baseline_models.py:383

↓ 1 callersMethoddecode

(self, x, content_skips, style_skips, level, content_segment, style_segment, label_set, label_indicator, alpha

baseline_models_seg.py:427

↓ 1 callersFunctiondenorm

(x)

utils.py:449

↓ 1 callersFunctionextract_patches

(feature, patch_size, stride, padding='zero')

style_decorator.py:6

↓ 1 callersFunctionfeature_wct

(content_feat, style_feat, content_segment=None, style_segment=None, label_set=None, label_indicator=None,

utils.py:252

↓ 1 callersMethodgaussian

(self, w_size, sigma)

evaluation.py:38

↓ 1 callersFunctionget_domainess

(cur_iter, total_iter, batch)

baseline.py:40

↓ 1 callersFunctionget_loader

(image_dir, crop_size=0, image_size=0, batch_size=16, normalize=True, noise=True, split='train', num_workers=2

data/data_loader.py:10

↓ 1 callersMethodkernel_normalize

(self,kernel, k=3, eps=1e-5)

style_decorator.py:35

↓ 1 callersMethodnorm_deconvolution

(self, h, w, patch_size)

style_decorator.py:119

↓ 1 callersMethodreassemble_feature

(self, normalized_content_feature, normalized_style_feature, patch_size, patch_stride)

style_decorator.py:135

↓ 1 callersFunctionstyle_transfer

(vgg, decoder, content, style, alpha=1.0)

AdaIN.py:142

↓ 1 callersMethodtransfer

(self, args)

baseline.py:348

↓ 1 callersMethodtransfer_user_guided

(self, args)

baseline.py:396

↓ 1 callersMethodtrim

(self, video)

data/dataset_util.py:175

↓ 1 callersMethodvideo_transform

(self, video)

data/dataset_util.py:184

↓ 1 callersFunctionwct_core

(cont_feat, styl_feat, weight=1, registers=None, device='cuda:0')

utils.py:149

↓ 1 callersFunctionwct_core_segment

(content_feat, style_feat, content_segment, style_segment, label_set, label_indicator, weight=1, registe

utils.py:204

Method__call__

args: y_true : 4-d ndarray in [batch_size, channels, img_rows, img_cols] y_pred : 4-d ndarray in [batch_size, channel

evaluation.py:14

Method__call__

args: y_true : 4-d ndarray in [batch_size, channels, img_rows, img_cols] y_pred : 4-d ndarray in [batch_size, channel

(self, exc_type, exc_value, exc_tb)

utils.py:311

Method__getitem__

(self, index)

data/dataset_util.py:34

Method__getitem__

(self, index)

data/dataset_util.py:63

Method__getitem__

(self, index)

data/dataset_util.py:94

Method__getitem__

(self, index)

data/dataset_util.py:123

Method__getitem__

(self, index)

data/dataset_util.py:151

Method__getitem__

(self, index)

data/dataset_util.py:192

Method__init__

(self)

style_indicator.py:86

Method__init__

(self)

style_indicator.py:153

Method__init__

(self)

style_indicator.py:247

Method__init__

(self)

style_indicator.py:341

Method__init__

(self)

style_indicator.py:443

Method__init__

(self, size=256)

style_indicator.py:558

Method__init__

(self, size=256)

style_indicator.py:648

Method__init__

(self, size=256)

style_indicator.py:738

baseline_models.py:84

Method__init__

(self, vgg)

baseline_models.py:102

Method__init__

(self)

baseline_models.py:255

Method__init__

(self, pretrained_vgg=None)

baseline_models.py:371

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