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Functions150 in github.com/KupynOrest/DeblurGAN

⨍ Functions 150◇ Types & classes 31
↓ 10 callersMethodforward
(self)
models/base_model.py:19
↓ 7 callersMethodsave
(self)
util/html.py:45
↓ 6 callersMethodfit
(self, show=False, save=False)
motion_blur/generate_PSF.py:26
↓ 5 callersFunctionmake_dataset
(dir)
data/image_folder.py:24
↓ 4 callersMethod__init__
(self, dim, padding_type, norm_layer, use_dropout, use_bias)
models/networks.py:205
↓ 3 callersMethodadd_header
(self, str)
util/html.py:25
↓ 3 callersMethodadd_images
(self, ims, txts, links, width=400)
util/html.py:33
↓ 3 callersFunctionchunk
(tag, data)
util/png.py:16
↓ 3 callersMethodget
Download a dataset. Args: save_path : str A directory to save the data to. dataset : str, o
util/get_data.py:81
↓ 3 callersMethodget_loss
(self, net, realA, fakeB, realB)
models/losses.py:97
↓ 3 callersMethodload_network
(self, network, network_label, epoch_label)
models/base_model.py:51
↓ 2 callersFunctionCreateDataLoader
(opt)
data/data_loader.py:2
↓ 2 callersMethod__init__
( self, use_l1=True, target_real_label=1.0, target_fake_label=0.0, tensor=torch.FloatTensor)
models/losses.py:48
↓ 2 callersFunction__scale_width
(img, target_width)
data/base_dataset.py:39
↓ 2 callersMethod_print
(self, text)
util/get_data.py:37
↓ 2 callersFunctioncreate_model
(opt)
models/models.py:3
↓ 2 callersMethodforward
(self)
models/conditional_gan_model.py:74
↓ 2 callersMethodget_current_visuals
(self)
models/test_model.py:45
↓ 2 callersMethodget_g_loss
(self,net, realA, fakeB)
models/losses.py:92
↓ 2 callersFunctionget_norm_layer
(norm_type='instance')
models/networks.py:25
↓ 2 callersFunctionget_transform
(opt)
data/base_dataset.py:15
↓ 2 callersMethodinitialize
(self, opt)
data/single_dataset.py:9
↓ 2 callersMethodload_data
()
data/base_data_loader.py:10
↓ 2 callersFunctionmkdir
(path)
util/util.py:74
↓ 2 callersMethodparse
(self)
options/base_options.py:46
↓ 2 callersMethodsave_network
(self, network, network_label, epoch_label, gpu_ids)
models/base_model.py:42
↓ 2 callersMethodset_input
(self, input)
models/test_model.py:28
↓ 1 callersFunctionCreateDataset
(opt)
data/custom_dataset_data_loader.py:5
↓ 1 callersFunctionPSNR
(img1, img2)
util/metrics.py:39
↓ 1 callersMethod__plot_canvas
(self, show, save)
motion_blur/blur_image.py:83
↓ 1 callersMethod__plot_canvas
(self, show, save)
motion_blur/generate_PSF.py:74
↓ 1 callersMethod__plot_canvas
(self, show, save)
motion_blur/generate_trajectory.py:99
↓ 1 callersMethod_download_data
(self, dataset_url, save_path)
util/get_data.py:58
↓ 1 callersMethod_get_options
(r)
util/get_data.py:42
↓ 1 callersMethod_present_options
(self)
util/get_data.py:48
↓ 1 callersMethodadd_table
(self, border=1)
util/html.py:29
↓ 1 callersMethodbackward_D
(self)
models/conditional_gan_model.py:89
↓ 1 callersMethodbackward_G
(self)
models/conditional_gan_model.py:94
↓ 1 callersMethodblur_image
(self, save=False, show=False)
motion_blur/blur_image.py:44
↓ 1 callersMethodcalc_gradient_penalty
(self, netD, real_data, fake_data)
models/losses.py:141
↓ 1 callersMethodcontentFunc
(self)
models/losses.py:24
↓ 1 callersFunctioncreate_window
(window_size, channel)
util/metrics.py:12
↓ 1 callersMethoddisplay_current_results
(self, visuals, epoch)
util/visualizer.py:31
↓ 1 callersMethodfit
Generate motion, you can save or plot, coordinates of motion you can find in x property. Also you can fin properties tot_length, big_
motion_blur/generate_trajectory.py:40
↓ 1 callersFunctiongaussian
(window_size, sigma)
util/metrics.py:8
↓ 1 callersMethodget_current_errors
(self)
models/base_model.py:35
↓ 1 callersMethodget_image_dir
(self)
util/html.py:22
↓ 1 callersMethodget_image_paths
(self)
models/test_model.py:42
↓ 1 callersMethodget_target_tensor
(self, input, target_is_real)
models/losses.py:62
↓ 1 callersFunctioninit_loss
(opt, tensor)
models/losses.py:174
↓ 1 callersMethodinitialize
(self)
options/base_options.py:11
↓ 1 callersFunctionis_image_file
(filename)
data/image_folder.py:20
↓ 1 callersMethodname
(self)
data/custom_dataset_data_loader.py:26
↓ 1 callersMethodname
(self)
data/single_dataset.py:32
↓ 1 callersMethodname
(self)
models/conditional_gan_model.py:18
↓ 1 callersMethodoptimize_parameters
(self)
models/base_model.py:29
↓ 1 callersMethodplot_current_errors
(self, epoch, counter_ratio, opt, errors)
util/visualizer.py:95
↓ 1 callersMethodprint_current_errors
(self, epoch, i, errors, t)
util/visualizer.py:111
↓ 1 callersFunctionraw_data
()
util/png.py:9
↓ 1 callersMethodsave
(self, label)
models/base_model.py:38
↓ 1 callersMethodsave_images
(self, webpage, visuals, image_path)
util/visualizer.py:121
↓ 1 callersMethodtest
(self)
models/test_model.py:36
↓ 1 callersFunctiontrain
(opt, data_loader, model, visualizer)
train.py:9
↓ 1 callersMethodupdate_learning_rate
()
models/base_model.py:56
FunctionSSIM
(img1, img2)
util/metrics.py:18
Method__call__
(self, input, target_is_real)
models/losses.py:80
Method__getitem__
(self, index)
data/unaligned_dataset.py:27
Method__getitem__
(self, index)
data/aligned_dataset.py:27
Method__getitem__
(self, index)
data/image_folder.py:57
Method__getitem__
(self, index)
data/single_dataset.py:20
Method__init__
(self)
data/base_data_loader.py:3
Method__init__
(self)
data/base_dataset.py:6
Method__init__
(self, opt)
data/custom_dataset_data_loader.py:29
Method__init__
(self, opt)
data/aligned_dataset.py:11
Method__init__
(self, root, transform=None, return_paths=False, loader=default_loader)
data/image_folder.py:43
Method__init__
(self)
options/base_options.py:7
Method__init__
:param image_path: path to square, RGB image. :param PSFs: array of Kernels. :param part: int number of kernel to use.
motion_blur/blur_image.py:13
Method__init__
(self, canvas=None, trajectory=None, fraction=None, path_to_save=None)
motion_blur/generate_PSF.py:8
Method__init__
Generates a variety of random motion trajectories in continuous domain as in [Boracchi and Foi 2012]. Each trajectory consists of a c
motion_blur/generate_trajectory.py:7
Method__init__
(self, opt)
models/conditional_gan_model.py:21
Method__init__
(self, opt)
models/test_model.py:13
Method__init__
(self, opt)
models/base_model.py:9
Method__init__
(self, loss)
models/losses.py:16
Method__init__
(self, loss)
models/losses.py:36
Method__init__
(self, opt, tensor)
models/losses.py:88
Method__init__
(self, opt, tensor)
models/losses.py:116
Method__init__
(self, opt, tensor)
models/losses.py:131
Method__init__
( self, input_nc, output_nc, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False, n_b
models/networks.py:104
Method__init__
( self, input_nc, output_nc, num_downs, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout
models/networks.py:298
Method__init__
( self, outer_nc, inner_nc, submodule=None, outermost=False, innermost=False, norm_lay
models/networks.py:335
Method__init__
(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, use_sigmoid=False, gpu_ids=[],
models/networks.py:414
Method__init__
(self, technique='cyclegan', verbose=True)
util/get_data.py:29
Method__init__
(self, web_dir, title, reflesh=0)
util/html.py:7
Method__init__
(self, opt)
util/visualizer.py:9
Method__init__
(self, pool_size)
util/image_pool.py:6
Method__len__
(self)
data/unaligned_dataset.py:41
Method__len__
(self)
data/custom_dataset_data_loader.py:43
Method__len__
(self)
data/aligned_dataset.py:53
Method__len__
(self)
data/image_folder.py:67
Method__len__
(self)
data/single_dataset.py:29
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