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Functions132 in github.com/AyanKumarBhunia/semisupervised-FGSBIR

⨍ Functions 132◇ Types & classes 30
↓ 7 callersFunctionbatch_rasterize_relative
(sketch)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/rasterize.py:154
↓ 6 callersMethod__init__
(self, hp=None)
Photo_to_Sketch_2D_Attention/Image_Networks.py:9
↓ 6 callersMethod__init__
(self, hp=None)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Image_Networks.py:7
↓ 4 callersFunctionbatch_rasterize_relative
(sketch)
Photo_to_Sketch_2D_Attention/rasterize.py:154
↓ 4 callersFunctionrasterize_Sketch
(sketch_points)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/rasterize.py:52
↓ 4 callersFunctionsketch_reconstruction_loss
(output, x_input)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Sketch_Networks.py:102
↓ 4 callersFunctionto_FivePoint
(sketch, max_seq_len=130)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/rasterize.py:77
↓ 3 callersMethod__init__
(self, hp)
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:140
↓ 3 callersMethodplot_scalars
(self, scalars, step)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/utils.py:147
↓ 3 callersFunctionto_normal_strokes
Convert from stroke-5 format (from sketch-rnn paper) back to stroke-3.
Photo_to_Sketch_2D_Attention/utils.py:22
↓ 2 callersMethodImage2Sketch_Train
(self, rgb_image, sketch_vector, length_sketch, step, sketch_name)
Photo_to_Sketch_2D_Attention/model.py:28
↓ 2 callersFunctionadjust_temp
(pi_pdf)
Photo_to_Sketch_2D_Attention/utils.py:87
↓ 2 callersFunctionadjust_temp
(pi_pdf)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/utils.py:85
↓ 2 callersMethodforward
(self, x, Seq_Len=None)
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:146
↓ 2 callersFunctionget_dataloader
(hp)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:172
↓ 2 callersFunctionget_transform
(type)
Photo_to_Sketch_2D_Attention/dataset.py:203
↓ 2 callersFunctionget_transform
(type)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:185
↓ 2 callersFunctionmydrawPNG_from_list
(vector_image, Side = 256)
Photo_to_Sketch_2D_Attention/rasterize.py:133
↓ 2 callersFunctionmydrawPNG_from_list
(vector_image, Side = 256)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/rasterize.py:133
↓ 2 callersMethodnormalize
Normalize entire dataset (delta_x, delta_y) by the scaling factor.
Photo_to_Sketch_2D_Attention/dataset.py:287
↓ 2 callersMethodnormalize
Normalize entire dataset (delta_x, delta_y) by the scaling factor.
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:271
↓ 2 callersMethodpurify
removes to small or too long sequences + removes large gaps
Photo_to_Sketch_2D_Attention/dataset.py:253
↓ 2 callersMethodpurify
removes to small or too long sequences + removes large gaps
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:237
↓ 2 callersFunctionrasterize_Sketch
(sketch_points)
Photo_to_Sketch_2D_Attention/rasterize.py:52
↓ 2 callersFunctionset_learninRate
(optimizer, curr_learning_rate)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Sketch_Networks.py:124
↓ 2 callersFunctionto_FivePoint
(sketch, max_seq_len=130)
Photo_to_Sketch_2D_Attention/rasterize.py:77
↓ 2 callersFunctionto_stroke_list
(sketch)
Photo_to_Sketch_2D_Attention/utils.py:292
↓ 2 callersFunctionto_stroke_list
(sketch)
Photo_to_Sketch_2D_Attention/rasterize.py:88
↓ 2 callersFunctionto_stroke_list
(sketch)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/rasterize.py:88
↓ 2 callersMethodvalid_batch
(self, batch_size_sketch_rnn=100)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:302
↓ 1 callersMethodImage2Sketch_Train
(self, rgb_image, sketch_vector, length_sketch, step)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/model.py:26
↓ 1 callersMethod__init__
(self, hp)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Sketch_Networks.py:10
↓ 1 callersMethodcalculate_normalizing_scale_factor
Calculate the normalizing factor explained in appendix of sketch-rnn.
Photo_to_Sketch_2D_Attention/dataset.py:277
↓ 1 callersMethodcalculate_normalizing_scale_factor
Calculate the normalizing factor explained in appendix of sketch-rnn.
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:261
↓ 1 callersFunctionget_dataloader
(hp)
Photo_to_Sketch_2D_Attention/dataset.py:185
↓ 1 callersFunctionget_imageOnly_dataloader
(dataroot = '/home/media/CVPR_2021/Sketch_SelfSupervised/ut-zap50k-images-square')
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:196
↓ 1 callersFunctionmydrawPNG
(vector_image, Side = 256)
Photo_to_Sketch_2D_Attention/rasterize.py:10
↓ 1 callersFunctionmydrawPNG
(vector_image, Side = 256)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/rasterize.py:10
↓ 1 callersMethodplot_scalars
(self, scalars, step)
Photo_to_Sketch_2D_Attention/utils.py:150
↓ 1 callersFunctionpreprocess
(sketch_points, side = 256.0)
Photo_to_Sketch_2D_Attention/rasterize.py:45
↓ 1 callersFunctionpreprocess
(sketch_points, side = 256.0)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/rasterize.py:45
↓ 1 callersMethodpretrain_SketchBranch_ShoeV2
(self, iteration = 10000)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/base_model.py:259
↓ 1 callersFunctionsample_bivariate_normal
(mu_x, mu_y, sigma_x, sigma_y, rho_xy, temperature = 0.2, greedy=False)
Photo_to_Sketch_2D_Attention/utils.py:118
↓ 1 callersFunctionsample_bivariate_normal
(mu_x, mu_y, sigma_x, sigma_y, rho_xy, temperature = 0.2, greedy=False)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/utils.py:116
↓ 1 callersFunctionsample_next_state
(output, hp, temperature =0.01)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/utils.py:83
↓ 1 callersFunctionsave_sketch
(sketch_vector, sketch_name)
Photo_to_Sketch_2D_Attention/utils.py:315
↓ 1 callersFunctionsave_sketch_gen
(sketch_vector, sketch_name)
Photo_to_Sketch_2D_Attention/utils.py:354
↓ 1 callersFunctionset_learninRate
(optimizer, curr_learning_rate)
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:257
↓ 1 callersFunctionshowAttention
(attention_plot, sketch_img, sketch_vector_gt_draw, photo2sketch_gen_draw, sketch_name)
Photo_to_Sketch_2D_Attention/utils.py:157
↓ 1 callersMethodsketch_generation_deterministic
(self, dataloader, number_of_sample=64, condition = True)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/base_model.py:120
↓ 1 callersFunctionsketch_reconstruction_loss
(output, x_input)
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:232
↓ 1 callersFunctionto_delXY
(sketch)
Photo_to_Sketch_2D_Attention/rasterize.py:57
↓ 1 callersFunctionto_delXY
(sketch)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/rasterize.py:57
↓ 1 callersFunctionto_normal_strokes
Convert from stroke-5 format (from sketch-rnn paper) back to stroke-3.
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/utils.py:20
↓ 1 callersFunctiontorch_2d_normal
Returns result of eq # 24 of http://arxiv.org/abs/1308.0850.
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:215
↓ 1 callersFunctiontorch_2d_normal
Returns result of eq # 24 of http://arxiv.org/abs/1308.0850.
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Sketch_Networks.py:85
↓ 1 callersMethodtrain_batch
(self, batch_size_sketch_rnn=50)
Photo_to_Sketch_2D_Attention/dataset.py:296
↓ 1 callersMethodtrain_batch
(self, batch_size_sketch_rnn=100)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:280
↓ 1 callersMethodvis_image
(self, visularize, step)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/utils.py:139
MethodUnfreeze_weights
(self)
Photo_to_Sketch_2D_Attention/base_model.py:34
MethodUnfreeze_weights
(self)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/base_model.py:374
Method__getitem__
(self, item)
Photo_to_Sketch_2D_Attention/dataset.py:91
Method__getitem__
(self, item)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:87
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:11
Method__init__
(self, hidden_size)
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:106
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:158
Method__init__
(self, name = 'Photo2Sketch')
Photo_to_Sketch_2D_Attention/utils.py:131
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/base_model.py:20
Method__init__
(self, hp, mode)
Photo_to_Sketch_2D_Attention/dataset.py:25
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/dataset.py:222
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/model.py:21
Method__init__
(self, hp=None)
Photo_to_Sketch_2D_Attention/Image_Networks.py:40
Method__init__
(self, in_channels=3)
Photo_to_Sketch_2D_Attention/Image_Networks.py:48
Method__init__
(self, out_channels=3)
Photo_to_Sketch_2D_Attention/Image_Networks.py:72
Method__init__
(self, inner_nc, outer_nc)
Photo_to_Sketch_2D_Attention/Image_Networks.py:97
Method__init__
(self, inner_nc, outer_nc, normalize=True)
Photo_to_Sketch_2D_Attention/Image_Networks.py:111
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/Image_Networks.py:124
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Sketch_Networks.py:28
Method__init__
(self, name = 'Photo2Sketch')
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/utils.py:129
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/base_model.py:20
Method__init__
(self, hp, mode)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:22
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:214
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/model.py:19
Method__init__
(self, hp=None)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Image_Networks.py:21
Method__init__
(self, in_channels=3)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Image_Networks.py:29
Method__init__
(self, out_channels=3)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Image_Networks.py:53
Method__init__
(self, inner_nc, outer_nc)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Image_Networks.py:78
Method__init__
(self, inner_nc, outer_nc, normalize=True)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Image_Networks.py:92
Method__init__
(self, hp)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/Image_Networks.py:105
Method__len__
(self)
Photo_to_Sketch_2D_Attention/dataset.py:177
Method__len__
(self)
Photo_to_Sketch_2D_Attention/CVPR_18_Baseline/dataset.py:164
Methodforward
(self, backbone_feature, z_vector, sketch_vector=None, seq_len=None, isTrain=True)
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:20
Methodforward
(self, conv_f, h)
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:119
Methodforward
(self, inputs, z_vector, seq_len = None, hidden_cell=None, isTrain = True, get_deterministic = True)
Photo_to_Sketch_2D_Attention/Sketch_Networks.py:165
Methodforward
(self, x)
Photo_to_Sketch_2D_Attention/Image_Networks.py:16
Methodforward
(self, x)
Photo_to_Sketch_2D_Attention/Image_Networks.py:43
Methodforward
(self, x)
Photo_to_Sketch_2D_Attention/Image_Networks.py:59
Methodforward
(self, x)
Photo_to_Sketch_2D_Attention/Image_Networks.py:84
Methodforward
(self, x)
Photo_to_Sketch_2D_Attention/Image_Networks.py:106
Methodforward
(self, x)
Photo_to_Sketch_2D_Attention/Image_Networks.py:119
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