Functions — github.com/Cold-Winter/BachGAN

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Functions415 in github.com/Cold-Winter/BachGAN

⨍ Functions 415◇ Types & classes 58

↓ 1 callersMethod__data_parallel_replicate__

(self, ctx, copy_id)

models/networks/sync_batchnorm/batchnorm.py:95

↓ 1 callersFunction__flip

(img, flip)

data/base_dataset.py:128

↓ 1 callersMethod__init__

(self)

data/city_helpers/annotation.py:74

↓ 1 callersMethod__init__

(self, gan_mode, target_real_label=1.0, target_fake_label=0.0, tensor=torch.FloatTensor, opt=

models/networks/loss.py:17

↓ 1 callersMethod__init__

(self, opt)

models/networks/discriminator.py:74

↓ 1 callersMethod__init__

Args: master_callback: a callback to be invoked after having collected messages from slave devices.

models/networks/sync_batchnorm/comm.py:67

↓ 1 callersFunction__make_power_2

(img, base, method=Image.BICUBIC)

data/base_dataset.py:92

↓ 1 callersFunction__resize

(img, w, h, method=Image.BICUBIC)

data/base_dataset.py:88

↓ 1 callersFunction__resize

(img, w, h, method=Image.BICUBIC)

scripts/retrival_seg.py:103

↓ 1 callersFunction__resize

(img, w, h, method=Image.BICUBIC)

scripts/retrival_ious_city_halfset/retrival_seg.py:103

↓ 1 callersFunction__resize

(img, w, h, method=Image.BICUBIC)

scripts/retrival_ious_city_halfset/retrival_seg_halfset.py:104

↓ 1 callersFunction__resize

(img, w, h, method=Image.BICUBIC)

scripts/retrival_ious_city/retrival_seg.py:103

↓ 1 callersFunction__resize

(img, w, h, method=Image.BICUBIC)

scripts/retrival_ious_city/retrival_seg_halfset.py:103

↓ 1 callersFunction__scale_shortside

(img, target_width, method=Image.BICUBIC)

data/base_dataset.py:110

↓ 1 callersFunction__scale_width

(img, target_width, method=Image.BICUBIC)

data/base_dataset.py:101

↓ 1 callersMethod_compute_mean_std

Compute the mean and standard-deviation with sum and square-sum. This method also maintains the moving average on the master device.

models/networks/sync_batchnorm/batchnorm.py:128

↓ 1 callersMethodadd_table

(self, border=1)

util/html.py:41

↓ 1 callersFunctionatoi

(text)

scripts/retrival_seg.py:72

↓ 1 callersFunctionatoi

(text)

scripts/retrival_seg_ade20k.py:75

↓ 1 callersFunctionatoi

(text)

scripts/retrival_ious_ade20k_halfset/retrival_seg_ade20k.py:75

↓ 1 callersFunctionatoi

(text)

scripts/retrival_ious_city_halfset/retrival_seg.py:72

↓ 1 callersFunctionatoi

(text)

scripts/retrival_ious_city_halfset/retrival_seg_halfset.py:73

↓ 1 callersFunctionatoi

(text)

scripts/retrival_ious_city/retrival_seg.py:72

↓ 1 callersFunctionatoi

(text)

scripts/retrival_ious_city/retrival_seg_halfset.py:72

↓ 1 callersFunctionatoi

(text)

util/util.py:162

↓ 1 callersFunctioncalculate_activation_statistics

Calculation of the statistics used by the FID. Params: -- files : List of image files paths -- model : Instance of inceptio

pytorch-fid/fid_score.py:239

↓ 1 callersFunctioncalculate_fid_given_paths

Calculates the FID of two paths

pytorch-fid/fid_score.py:278

↓ 1 callersFunctioncalculate_frechet_distance

Numpy implementation of the Frechet Distance. The Frechet distance between two multivariate Gaussians X_1 ~ N(mu_1, C_1) and X_2 ~ N(mu_2, C

pytorch-fid/fid_score.py:182

↓ 1 callersMethodcompute_D_input_nc

(self, opt)

models/networks/discriminator.py:102

↓ 1 callersMethodcompute_discriminator_loss

(self, input_semantics, real_image, input_semantics_fine, real_image_fine)

models/pix2pix_dualunpair.py:202

↓ 1 callersMethodcompute_discriminator_loss

(self, input_semantics, real_image, input_semantics_fine)

models/pix2pix_dual_segspademodel.py:221

↓ 1 callersMethodcompute_discriminator_loss

(self, input_semantics, real_image, input_semantics_fine)

models/pix2pix_dualmodel.py:202

↓ 1 callersMethodcompute_discriminator_loss

(self, input_semantics, real_image)

models/pix2pix_model.py:327

↓ 1 callersMethodcompute_discriminator_loss_retrival

(self, input_semantics, real_image, retrival_image)

models/pix2pix_model.py:344

↓ 1 callersMethodcompute_discriminator_loss_retrival_memory

(self, input_semantics, real_image, retrival_label_list)

models/pix2pix_model.py:368

↓ 1 callersMethodcompute_generator_loss

(self, input_semantics, real_image, fine_label,input_semantics_fine, real_image_fine)

models/pix2pix_dualunpair.py:160

↓ 1 callersMethodcompute_generator_loss

(self, input_semantics, real_image, fine_label,input_semantics_fine)

models/pix2pix_dual_segspademodel.py:174

↓ 1 callersMethodcompute_generator_loss

(self, input_semantics, real_image, fine_label,input_semantics_fine)

models/pix2pix_dualmodel.py:160

↓ 1 callersMethodcompute_generator_loss

(self, input_semantics, real_image, fine_label)

models/pix2pix_model.py:207

↓ 1 callersMethodcompute_generator_loss_retrival

(self, input_semantics, real_image, fine_label, retrival_image)

models/pix2pix_model.py:244

↓ 1 callersMethodcompute_generator_loss_retrival_memory

(self, input_semantics, real_image, fine_label, retrival_label_list)

models/pix2pix_model.py:285

↓ 1 callersMethodcompute_latent_vector_size

(self, opt)

models/networks/generator.py:93

↓ 1 callersMethodcompute_latent_vector_size

(self, opt)

models/networks/generator.py:294

↓ 1 callersMethodcompute_latent_vector_size

(self, opt)

models/networks/generator.py:442

↓ 1 callersMethodcreate_optimizers

(self, opt)

models/pix2pix_model.py:125

↓ 1 callersMethodcreate_single_discriminator

(self, opt)

models/networks/discriminator.py:38

↓ 1 callersFunctiond

()

docs/b5m.js:1

↓ 1 callersMethoddisplay_current_results

(self, visuals, epoch, step)

util/visualizer.py:42

↓ 1 callersMethoddivide_pred

(self, pred)

models/pix2pix_model.py:448

↓ 1 callersMethoddownsample

(self, input)

models/networks/discriminator.py:46

↓ 1 callersFunctionfid_inception_v3

Build pretrained Inception model for FID computation The Inception model for FID computation uses a different set of weights and has a slight

pytorch-fid/inception.py:166

↓ 1 callersFunctionfilter

(list, func)

docs/lib.js:146

↓ 1 callersMethodfromJsonText

(self, jsonText, objId=-1)

data/city_helpers/annotation.py:161

↓ 1 callersMethodfromJsonText

(self, jsonText)

data/city_helpers/annotation.py:192

↓ 1 callersFunctiong

(a)

docs/b5m.js:1

↓ 1 callersMethodgather_options

(self)

options/base_options.py:81

↓ 1 callersFunctiongetCsFileInfo

(fileName)

data/city_helpers/csHelpers.py:86

↓ 1 callersFunctionget_activations

Calculates the activations of the pool_3 layer for all images. Params: -- files : List of image files paths -- model : In

pytorch-fid/fid_score.py:73

↓ 1 callersFunctionget_color_images

()

scripts/retrival_seg_ade20k.py:170

↓ 1 callersMethodget_edges

(self, t)

models/pix2pix_dualunpair.py:304

↓ 1 callersMethodget_edges

(self, t)

models/pix2pix_dual_segspademodel.py:331

↓ 1 callersMethodget_edges

(self, t)

models/pix2pix_dualmodel.py:304

↓ 1 callersMethodget_edges

(self, t)

models/pix2pix_model.py:463

↓ 1 callersMethodget_image_dir

(self)

util/html.py:34

↓ 1 callersMethodget_latest_generated

(self)

trainers/pix2pix_trainer.py:64

↓ 1 callersMethodget_latest_losses

(self)

trainers/pix2pix_trainer.py:61

↓ 1 callersFunctionget_onehot_box_tensor

(fine_label_tensor)

scripts/retrival_ious_ade20k_halfset/retrival_seg_ade20k.py:262

↓ 1 callersFunctionhasClass

↓ 1 callersMethodinit_weights

(self, init_type='normal', gain=0.02)

models/networks/base_network.py:28

↓ 1 callersMethodinitialize

(self, opt)

data/base_dataset.py:21

↓ 1 callersMethodinitialize

(self, parser)

options/base_options.py:20

↓ 1 callersMethodinitialize_networks

(self, opt)

models/pix2pix_dualunpair.py:104

↓ 1 callersMethodinitialize_networks

(self, opt)

models/pix2pix_dual_segspademodel.py:102

↓ 1 callersMethodinitialize_networks

(self, opt)

models/pix2pix_dualmodel.py:104

↓ 1 callersMethodinitialize_networks

(self, opt)

models/pix2pix_model.py:154

↓ 1 callersFunctionlabelcolormap

(N)

util/util.py:237

↓ 1 callersFunctionlisten

(event, elem, func)

docs/lib.js:182

↓ 1 callersFunctionload_and_save_all_pkl

()

scripts/retrival_ious_city_halfset/retrival_seg_halfset.py:145

↓ 1 callersMethodload_options

(self, opt)

options/base_options.py:152

↓ 1 callersFunctionmake_dataset_rec

(dir, images)

data/image_folder.py:26

↓ 1 callersFunctionmake_dataset_rec

(dir, images)

scripts/retrival_seg.py:32

↓ 1 callersFunctionmake_dataset_rec

(dir, images)

scripts/retrival_seg_ade20k.py:35

↓ 1 callersFunctionmake_dataset_rec

(dir, images)

scripts/retrival_ious_ade20k_halfset/retrival_seg_ade20k.py:35

↓ 1 callersFunctionmake_dataset_rec

(dir, images)

scripts/retrival_ious_city_halfset/retrival_seg.py:32

↓ 1 callersFunctionmake_dataset_rec

(dir, images)

scripts/retrival_ious_city_halfset/retrival_seg_halfset.py:33

↓ 1 callersFunctionmake_dataset_rec

(dir, images)

scripts/retrival_ious_city/retrival_seg.py:32

↓ 1 callersFunctionmake_dataset_rec

(dir, images)

scripts/retrival_ious_city/retrival_seg_halfset.py:32

↓ 1 callersMethodmodify_commandline_options

(parser, is_train)

models/networks/discriminator.py:69

↓ 1 callersMethodneeds_displaying

(self)

util/iter_counter.py:73

↓ 1 callersMethodneeds_printing

(self)

util/iter_counter.py:70

↓ 1 callersMethodneeds_saving

(self)

util/iter_counter.py:67

↓ 1 callersFunctiono

(a)

docs/b5m.js:1

↓ 1 callersMethodplot_current_errors

(self, errors, step)

util/visualizer.py:108

↓ 1 callersMethodpreprocess_input

(self, data)

models/pix2pix_dualunpair.py:124

↓ 1 callersMethodpreprocess_input

(self, data)

models/pix2pix_dual_segspademodel.py:135

↓ 1 callersMethodpreprocess_input

(self, data)

models/pix2pix_dualmodel.py:124

↓ 1 callersMethodprint_current_errors

(self, epoch, i, errors, t)

util/visualizer.py:116

↓ 1 callersMethodprint_network

(self)

models/networks/base_network.py:18

↓ 1 callersMethodprint_options

(self, opt)

options/base_options.py:112

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