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Functions215 in github.com/azadis/CompositionalGAN

⨍ Functions 215◇ Types & classes 36
Method__init__
(self)
options/base_options.py:15
Method__init__
(self)
options/baseAFN_options.py:8
Method__init__
(self)
options/baseAFNCompose_options.py:8
Method__init__
(self, input_nc, output_nc, gpu_ids=[])
models/networks.py:275
Method__init__
(self, input_nc, output_nc, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False, n_blocks=6, gpu_ids=[], padd
models/networks.py:299
Method__init__
(self, input_nc, output_nc, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False, n_blocks=6, gpu_ids=[], padd
models/networks.py:385
Method__init__
(self, dim, padding_type, norm_layer, use_dropout, use_bias)
models/networks.py:469
Method__init__
(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, use_sigmoid=False, gpu_ids=[],y_x=1)
models/networks.py:515
Method__init__
(self, input_nc, n_blocks=0, gpu_ids=[],y_x=1)
models/networks.py:575
Method__init__
(self, input_nc, n_blocks=0, gpu_ids=[],y_x=1)
models/networks.py:679
Method__init__
(self, view_dim=19, flow_mask=0, norm_layer=nn.BatchNorm2d, padding_type='zero', use_dropout=False, use_bias=F
models/networks.py:784
Method__init__
(self, view_dim=19, flow_mask=0, res=128, norm_layer=nn.BatchNorm2d, padding_type='zero', use_dropout=False, u
models/networks.py:905
Method__init__
(self, input_nc, res=128, norm_layer=nn.BatchNorm2d, padding_type='zero', use_dropout=False, use_bias=False, n
models/networks.py:1104
Method__init__
(self, web_dir, title, reflesh=0)
util/html.py:7
Method__init__
(self, opt)
util/visualizer.py:11
Method__init__
(self, pool_size)
util/image_pool.py:8
Method__iter__
(self)
data/custom_dataset_data_loader.py:56
Method__len__
(self)
data/compose_dataset.py:154
Method__len__
(self)
data/compose_dataset.py:287
Method__len__
(self)
data/custom_dataset_data_loader.py:52
Method__len__
(self)
data/AFN_compose_dataset.py:96
Method__len__
(self)
data/image_folder.py:67
Method__len__
(self)
data/AFN_dataset.py:127
Methodbackward_mask
(self)
models/AFN_model.py:153
Functiondefault_loader
(path)
data/image_folder.py:37
Functiondefine_AFN
(model, input_nc=3, view_dim=19, flow_mask=0, res=128, init_type='normal', use_dropout=False, gpu_ids=[])
models/networks.py:196
Functiondefine_D
(input_nc, ndf, which_model_netD, n_layers_D=3, norm='batch', use_sigmoid=False, init_type='norma
models/networks.py:152
Functiondefine_G
(input_nc, output_nc, ngf, which_model_netG, norm='batch', use_dropout=False, init_type='normal', gpu_ids=[],
models/networks.py:128
Functiondefine_STN
(input_nc, res=64, gpu_ids=[],y_x=1, STN_model='')
models/networks.py:173
Functiondiagnose_network
(net, name='network')
util/util.py:29
Methodflow_to_grid
(self, flow)
models/AFN_model.py:78
Methodforward
(self)
models/base_model.py:23
Methodforward
(self, input)
models/networks.py:286
Methodforward
(self, input, z=[])
models/networks.py:370
Methodforward
(self, input)
models/networks.py:454
Methodforward
(self, x)
models/networks.py:505
Methodforward
(self, input)
models/networks.py:565
Methodforward
(self, input, no_translatoin=False)
models/networks.py:615
Methodforward
(self, input, no_translatoin=False)
models/networks.py:721
Methodforward
(self, img, view)
models/networks.py:874
Methodforward
(self, img, view)
models/networks.py:1062
Methodforward
(self, input)
models/networks.py:1201
Methodget_current_errors
(self)
models/objCompose_unsupervised_model.py:932
Methodget_current_errors
(self)
models/base_model.py:39
Methodget_current_errors
(self)
models/AFN_compose_model.py:118
Methodget_current_errors
(self)
models/objCompose_supervised_model.py:663
Methodget_current_errors_test
(self)
models/objCompose_unsupervised_model.py:946
Methodget_current_visuals
(self)
models/objCompose_unsupervised_model.py:992
Methodget_current_visuals
(self)
models/base_model.py:36
Methodget_current_visuals
(self)
models/AFN_compose_model.py:126
Methodget_current_visuals
(self)
models/objCompose_supervised_model.py:682
Methodget_image_paths
(self)
models/objCompose_unsupervised_model.py:478
Methodget_image_paths
(self)
models/base_model.py:30
Methodget_image_paths
(self)
models/AFN_compose_model.py:91
Methodget_image_paths
(self)
models/objCompose_supervised_model.py:291
Functionget_scheduler
(optimizer, opt)
models/networks.py:112
Functionget_transform
(opt, pad=False, size=(128,128))
data/base_dataset.py:20
Methodinitialize
(self, opt)
data/base_data_loader.py:6
Methodinitialize
(self, opt)
data/compose_dataset.py:23
Methodinitialize
(self, opt)
data/compose_dataset.py:164
Methodinitialize
(self, opt)
data/base_dataset.py:17
Methodinitialize
(self, opt)
data/AFN_dataset.py:19
Methodinitialize
(self)
options/trainAFN_options.py:5
Methodinitialize
(self)
options/testAFN_options.py:5
Methodinitialize
(self)
options/train_options.py:12
Methodinitialize
(self)
options/test_options.py:5
Methodinitialize
(self)
options/trainAFNCompose_options.py:5
Methodinitialize
(self)
options/testAFNCompose_options.py:5
Methodinitialize
(self, opt)
models/objCompose_unsupervised_model.py:26
Methodinitialize
(self, opt)
models/base_model.py:10
Methodinitialize
(self, opt)
models/objCompose_supervised_model.py:24
Methodinitialize
(self, opt)
models/AFN_model.py:17
Functionlambda_rule
(epoch)
models/networks.py:114
Methodload_data
(self)
data/custom_dataset_data_loader.py:49
FunctionmagicOpt
logProbsNet: logprobs, i.e, the output of last layer of the network being trained. Should be of the shape [bs,2,ht,wt]. gtMasks:
util/robust_loss.py:5
Methodmake_html
(self, webpage,visuals, image_path)
util/visualizer.py:152
Functionmkdirs
(paths)
util/util.py:57
Methodname
(self)
data/compose_dataset.py:157
Methodname
(self)
data/compose_dataset.py:290
Methodname
(self)
data/base_dataset.py:14
Methodname
(self)
data/AFN_dataset.py:130
Methodname
(self)
models/objCompose_unsupervised_model.py:23
Methodname
(self)
models/base_model.py:7
Methodname
(self)
models/objCompose_supervised_model.py:21
Methodname
(self)
models/AFN_model.py:14
Methodoptimize_parameters
(self, total_steps)
models/objCompose_unsupervised_model.py:861
Methodoptimize_parameters
(self)
models/base_model.py:33
Methodoptimize_parameters
(self, total_steps, epoch)
models/objCompose_supervised_model.py:608
Methodoptimize_parameters_test
(self, total_steps)
models/objCompose_unsupervised_model.py:890
Methodoptimize_parameters_test_random
(self, index, theta, total_steps,rand_inds)
models/objCompose_unsupervised_model.py:911
Methodparse
(self)
options/baseAFN_options.py:43
Methodparse
(self)
options/baseAFNCompose_options.py:42
Functionprint_network
(net)
models/networks.py:221
Functionprint_numpy
(x, val=True, shp=False)
util/util.py:47
Methodsave
(self, label, compl_pretrain=False, STN_pretrain=False)
models/objCompose_unsupervised_model.py:1009
Methodsave
(self, label, cls_pretrain=False)
models/AFN_compose_model.py:141
Methodsave
(self, label, cls_pretrain=False)
models/objCompose_supervised_model.py:700
Methodsave
(self, label, cls_pretrain=False)
models/AFN_model.py:186
Functionsave_image
(image_numpy, image_path)
util/util.py:42
Methodset_input
Samples at training time
models/objCompose_unsupervised_model.py:222
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