Functions — github.com/Cold-Winter/BachGAN

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Functions415 in github.com/Cold-Winter/BachGAN

⨍ Functions 415◇ Types & classes 58

↓ 25 callersFunctionget_transform

(opt, params, method=Image.BICUBIC, normalize=True, toTensor=True)

data/base_dataset.py:47

↓ 17 callersFunctionmake_dataset

(dir, recursive=False, read_cache=False, write_cache=False)

data/image_folder.py:36

↓ 13 callersFunctionget_params

(opt, size)

data/base_dataset.py:25

↓ 13 callersMethodsave

(self)

util/html.py:57

↓ 8 callersMethodactvn

(self, x)

models/networks/architecture.py:73

↓ 7 callersMethoddiscriminate

(self, input_semantics, fake_image, real_image)

models/pix2pix_model.py:431

↓ 7 callersFunctionf

(a,b)

docs/b5m.js:1

↓ 7 callersMethodpaths_match

(self, path1, path2)

data/pix2pix_dataset.py:104

↓ 6 callersFunctionfind_network_using_name

(target_network_name, filename)

models/networks/__init__.py:15

↓ 6 callersMethodgenerate_fake

(self, input_semantics, real_image, compute_kld_loss=False)

models/pix2pix_model.py:398

↓ 5 callersFunction_unsqueeze_ft

add new dimensions at the front and the tail

models/networks/sync_batchnorm/batchnorm.py:42

↓ 5 callersMethodadd_images

(self, ims, txts, links, width=512)

util/html.py:45

↓ 5 callersMethodencode_z

(self, real_image)

models/pix2pix_model.py:393

↓ 4 callersMethod__init__

Build pretrained InceptionV3 Parameters ---------- output_blocks : list of int Indices of blocks to return featur

pytorch-fid/inception.py:31

↓ 4 callersMethodactvn

(self, x)

models/networks/architecture.py:146

↓ 4 callersFunctionisUndefined

↓ 4 callersFunctionnatural_sort

(items)

scripts/retrival_seg_ade20k.py:85

↓ 4 callersFunctionnatural_sort

(items)

scripts/retrival_ious_ade20k_halfset/retrival_seg_ade20k.py:85

↓ 4 callersMethodpaths_match

(self, path1, path2)

data/cityscapes_dataset.py:581

↓ 3 callersMethod__init__

(self, requires_grad=False)

models/networks/architecture.py:173

↓ 3 callersMethod__init__

(self, opt)

models/networks/generator.py:27

↓ 3 callersMethodadd_header

(self, str)

util/html.py:37

↓ 3 callersFunctioncreate_network

(cls, opt)

models/networks/__init__.py:40

↓ 3 callersMethodgenerate_fake

(self, input_semantics, real_image, input_semantics_fine,compute_kld_loss=False)

models/pix2pix_dualunpair.py:232

↓ 3 callersMethodgenerate_fake

(self, input_semantics, real_image, input_semantics_fine,compute_kld_loss=False)

models/pix2pix_dual_segspademodel.py:251

↓ 3 callersMethodgenerate_fake

(self, input_semantics, real_image, input_semantics_fine,compute_kld_loss=False)

models/pix2pix_dualmodel.py:232

↓ 3 callersMethodgenerate_fake_memory

(self, input_semantics, real_image, retrival_label_list, compute_kld_loss=False,)

models/pix2pix_model.py:413

↓ 3 callersMethodget

(self)

models/networks/sync_batchnorm/comm.py:32

↓ 3 callersFunctiongetElem

(elem)

docs/lib.js:156

↓ 3 callersFunctionget_nonspade_norm_layer

(opt, norm_type='instance')

models/networks/normalization.py:16

↓ 3 callersMethodget_onehot_box_tensor

(self, fine_label_tensor)

data/ade20k_dataset.py:72

↓ 3 callersFunctionget_out_channel

(layer)

models/networks/normalization.py:18

↓ 3 callersMethodget_paths

(self, opt)

data/pix2pix_dataset.py:97

↓ 3 callersMethodmodify_commandline_options

(parser, is_train)

models/networks/base_network.py:15

↓ 3 callersMethodpostprocess

(self, input_dict)

data/ade20k_dataset.py:538

↓ 3 callersMethodpreprocess_input

(self, data)

models/pix2pix_model.py:172

↓ 3 callersFunctionprintError

(message)

data/city_helpers/csHelpers.py:46

↓ 3 callersMethodput

(self, result)

models/networks/sync_batchnorm/comm.py:26

↓ 3 callersMethoduse_gpu

(self)

models/pix2pix_dualunpair.py:317

↓ 3 callersMethoduse_gpu

(self)

models/pix2pix_dual_segspademodel.py:344

↓ 3 callersMethoduse_gpu

(self)

models/pix2pix_dualmodel.py:317

↓ 3 callersMethoduse_gpu

(self)

models/pix2pix_model.py:476

↓ 2 callersMethod_check_input_dim

(self, input)

models/networks/sync_batchnorm/batchnorm.py:204

↓ 2 callersFunction_compute_statistics_of_path

(path, model, batch_size, dims, cuda)

pytorch-fid/fid_score.py:264

↓ 2 callersFunction_sum_ft

sum over the first and last dimention

models/networks/sync_batchnorm/batchnorm.py:37

↓ 2 callersMethodconvert_visuals_to_numpy

(self, visuals)

util/visualizer.py:128

↓ 2 callersMethoddiscriminate

(self, input_semantics, fake_image, real_image)

models/pix2pix_dualunpair.py:257

↓ 2 callersMethoddiscriminate

(self, input_semantics, fake_image, real_image)

models/pix2pix_dual_segspademodel.py:284

↓ 2 callersMethoddiscriminate

(self, input_semantics, fake_image, real_image)

models/pix2pix_dualmodel.py:257

↓ 2 callersMethoddiscriminate_fine

(self, input_semantics, fake_image, real_image)

models/pix2pix_dualunpair.py:272

↓ 2 callersMethoddiscriminate_fine

(self, input_semantics, fake_image, real_image)

models/pix2pix_dual_segspademodel.py:299

↓ 2 callersMethoddiscriminate_fine

(self, input_semantics, fake_image, real_image)

models/pix2pix_dualmodel.py:272

↓ 2 callersMethoddivide_pred

(self, pred)

models/pix2pix_dualunpair.py:289

↓ 2 callersMethoddivide_pred

(self, pred)

models/pix2pix_dual_segspademodel.py:316

↓ 2 callersMethoddivide_pred

(self, pred)

models/pix2pix_dualmodel.py:289

↓ 2 callersMethodencode_z

(self, real_image)

models/pix2pix_dualunpair.py:227

↓ 2 callersMethodencode_z

(self, real_image)

models/pix2pix_dual_segspademodel.py:246

↓ 2 callersMethodencode_z

(self, real_image)

models/pix2pix_dualmodel.py:227

↓ 2 callersFunctionexecute_replication_callbacks

Execute an replication callback `__data_parallel_replicate__` on each module created by original replication. The callback will be invoked w

models/networks/sync_batchnorm/replicate.py:27

↓ 2 callersFunctionfind_dataset_using_name

(dataset_name)

data/__init__.py:11

↓ 2 callersFunctionfind_model_using_name

(model_name)

models/__init__.py:10

↓ 2 callersMethodget_onehot_box_tensor

(self, ins_label_tensor)

data/cityscapes_dataset.py:85

↓ 2 callersMethodget_target_tensor

(self, input, target_is_real)

models/networks/loss.py:39

↓ 2 callersMethodget_zero_tensor

(self, input)

models/networks/loss.py:51

↓ 2 callersFunctionis_image_file

(filename)

data/image_folder.py:22

↓ 2 callersFunctionis_image_file

(filename)

scripts/retrival_seg.py:28

↓ 2 callersFunctionis_image_file

(filename)

scripts/retrival_seg_ade20k.py:31

↓ 2 callersFunctionis_image_file

(filename)

scripts/retrival_ious_ade20k_halfset/retrival_seg_ade20k.py:31

↓ 2 callersFunctionis_image_file

(filename)

scripts/retrival_ious_city_halfset/retrival_seg.py:28

↓ 2 callersFunctionis_image_file

(filename)

scripts/retrival_ious_city_halfset/retrival_seg_halfset.py:29

↓ 2 callersFunctionis_image_file

(filename)

scripts/retrival_ious_city/retrival_seg.py:28

↓ 2 callersFunctionis_image_file

(filename)

scripts/retrival_ious_city/retrival_seg_halfset.py:28

↓ 2 callersFunctionl

(a)

docs/b5m.js:1

↓ 2 callersFunctionlink_popup

(src, features)

docs/popup.js:15

↓ 2 callersMethodloss

(self, input, target_is_real, for_discriminator=True)

models/networks/loss.py:57

↓ 2 callersFunctionm

(b)

docs/b5m.js:1

↓ 2 callersFunctionmake_dataset

(dir, recursive=False, read_cache=False, write_cache=False)

scripts/retrival_seg.py:42

↓ 2 callersFunctionmake_dataset

(dir, recursive=False, read_cache=False, write_cache=False)

scripts/retrival_seg_ade20k.py:45

↓ 2 callersFunctionmake_dataset

(dir, recursive=False, read_cache=False, write_cache=False)

scripts/retrival_ious_ade20k_halfset/retrival_seg_ade20k.py:45

↓ 2 callersFunctionmake_dataset

(dir, recursive=False, read_cache=False, write_cache=False)

scripts/retrival_ious_city_halfset/retrival_seg.py:42

↓ 2 callersFunctionmake_dataset

(dir, recursive=False, read_cache=False, write_cache=False)

scripts/retrival_ious_city_halfset/retrival_seg_halfset.py:43

↓ 2 callersFunctionmake_dataset

(dir, recursive=False, read_cache=False, write_cache=False)

scripts/retrival_ious_city/retrival_seg.py:42

↓ 2 callersFunctionmake_dataset

(dir, recursive=False, read_cache=False, write_cache=False)

scripts/retrival_ious_city/retrival_seg_halfset.py:42

↓ 2 callersFunctionmap

(list, func)

docs/lib.js:139

↓ 2 callersFunctionmkdir

(path)

util/util.py:157

↓ 2 callersFunctionnatural_sort

(items)

scripts/retrival_seg.py:82

↓ 2 callersFunctionnatural_sort

(items)

scripts/retrival_ious_city_halfset/retrival_seg.py:82

↓ 2 callersFunctionnatural_sort

(items)

scripts/retrival_ious_city_halfset/retrival_seg_halfset.py:83

↓ 2 callersFunctionnatural_sort

(items)

scripts/retrival_ious_city/retrival_seg.py:82

↓ 2 callersFunctionnatural_sort

(items)

scripts/retrival_ious_city/retrival_seg_halfset.py:82

↓ 2 callersMethodoption_file_path

(self, opt, makedir=False)

options/base_options.py:124

↓ 2 callersMethodparse

(self, save=False)

options/base_options.py:157

↓ 2 callersFunctionr

(b)

docs/b5m.js:1

↓ 2 callersMethodreset_parameters

(self)

models/networks/sync_batchnorm/batchnorm_reimpl.py:43

↓ 2 callersFunctions

(a)

docs/b5m.js:1

↓ 2 callersFunctiontile_images

Code borrowed from https://stackoverflow.com/questions/26521365/cleanly-tile-numpy-array-of-images-stored-in-a-flattened-1d-format/26521997

util/util.py:40

↓ 1 callersFunction__crop

(img, pos, size)

data/base_dataset.py:121

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