Functions — github.com/WangLiwen1994/DeepRelight

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Functions372 in github.com/WangLiwen1994/DeepRelight

⨍ Functions 372◇ Types & classes 94

↓ 1 callersMethodinit_loss_filter

(self, use_gan_feat_loss, use_vgg_loss)

models/pix2pixHD_model.py:16

↓ 1 callersMethodinitialize

(self, opt)

data/custom_dataset_data_loader.py:18

↓ 1 callersMethodinitialize

(self, opt)

data/aligned_dataset.py:18

↓ 1 callersMethodinitialize

(self)

options/base_options.py:11

↓ 1 callersFunctionis_image_file

(filename)

test.py:15

↓ 1 callersFunctionis_image_file

(filename)

data/image_folder.py:17

↓ 1 callersMethodis_image_file

(swlf, filename)

data/aligned_dataset.py:32

↓ 1 callersFunctionlabelcolormap

(N)

util/util.py:61

↓ 1 callersFunctionlcm

(a,b)

train.py:8

↓ 1 callersMethodload_newhdrmodel

(self)

models/networks.py:243

↓ 1 callersFunctionmsssim

(img1, img2, window_size=11, size_average=True, val_range=None, normalize=False)

util/pytorch_ssim/__init__.py:71

↓ 1 callersMethodname

(self)

data/custom_dataset_data_loader.py:15

↓ 1 callersMethodname

(self)

data/aligned_dataset.py:38

↓ 1 callersMethodname

(self)

models/ui_model.py:12

↓ 1 callersFunctionnormalize

()

data/base_dataset.py:60

↓ 1 callersMethodplot_current_errors

(self, errors, step)

util/visualizer.py:95

↓ 1 callersMethodprint_current_errors

(self, epoch, i, errors, t)

util/visualizer.py:102

↓ 1 callersMethodprint_layer_times

(self)

run_engine.py:54

↓ 1 callersMethodquery

(self, images)

util/image_pool.py:11

↓ 1 callersMethodreparametrize

(self, mu, logvar)

models/Modules_chutak.py:1770

↓ 1 callersMethodreparametrize

(self, mu, logvar)

models/Modules_chutak.py:1929

↓ 1 callersMethodreparametrize

(self, mu, logvar)

models/Modules_chutak.py:2102

↓ 1 callersMethodreparametrize

(self, mu, logvar)

models/Modules_chutak.py:2762

↓ 1 callersMethodreparametrize

(self, mu, logvar)

models/Modules_chutak.py:2905

↓ 1 callersMethodreparametrize

(self, mu, logvar)

models/Modules_chutak.py:3048

↓ 1 callersMethodreparametrize

(self, mu, logvar, z_msk_img)

models/Modules_chutak.py:3218

↓ 1 callersMethodsave

(self, label)

models/base_model.py:38

↓ 1 callersMethodshortcut

(self, x_featmap, c_featmap)

models/Modules_chutak.py:1000

↓ 1 callersMethodshortcut

(self, x_featmap, c_featmap)

models/Modules_chutak.py:1048

↓ 1 callersMethodsingleD_forward

(self, model, input)

models/Modules_chutak.py:694

↓ 1 callersMethodsingleD_forward

(self, model, input)

models/networks.py:518

↓ 1 callersFunctionspiltImg

(PIL_img)

test.py:63

↓ 1 callersFunctiontensor2im

(image_tensor, imtype=np.uint8, normalize=True)

test.py:19

↓ 1 callersFunctiontensor2im

(image_tensor, imtype=np.uint8, normalize=True)

util/util.py:10

↓ 1 callersFunctiontensorList2img

(prediction_4, input_refshape)

test.py:87

↓ 1 callersFunctionuint82bin

returns the binary of integer n, count refers to amount of bits

util/util.py:57

↓ 1 callersMethodupdate_fixed_params

(self)

models/pix2pixHD_model.py:303

↓ 1 callersMethodupdate_learning_rate

()

models/base_model.py:90

Method__call__

(self, input, target_is_real)

models/Modules_chutak.py:601

Method__call__

(self, input, target_is_real)

models/networks.py:109

data/aligned_dataset.py:91

Method__getitem__

(self, index)

data/aligned_dataset.py:164

Method__getitem__

(self, index)

data/image_folder.py:54

data/base_data_loader.py:3

Method__init__

(self)

data/base_dataset.py:8

Method__init__

(self)

data/aligned_dataset.py:21

Method__init__

(self, root, transform=None, return_paths=False, loader=default_loader)

data/image_folder.py:40

Method__init__

(self)

options/base_options.py:7

Method__init__

(self, max_levels=5, k_size=5, sigma=2.0)

models/pix2pixHD_model.py:395

Method__init__

(self, input_nc, output_nc, ngf=64, n_downsampling=3, n_blocks=9, norm_layer=nn.BatchNorm2d,

models/Modules_chutak.py:157

Method__init__

(self, input_nc, output_nc, ngf=64, n_downsampling=4, n_blocks=4, norm_layer=nn.InstanceNorm2d,

models/Modules_chutak.py:214

Method__init__

(self, input_nc, output_nc, ngf=64, n_downsampling=3, n_blocks=3, norm_layer=nn.InstanceNorm2d,

models/Modules_chutak.py:357

Method__init__

(self)

models/Modules_chutak.py:449

Method__init__

(self, max_levels=5, k_size=5, sigma=2.0)

models/Modules_chutak.py:470

Method__init__

(self, max_levels=5, k_size=5, sigma=2.0)

models/Modules_chutak.py:489

Method__init__

(self, gpu_ids)

models/Modules_chutak.py:508

Method__init__

(self, use_lsgan=True, target_real_label=1.0, target_fake_label=0.0, tensor=torch.FloatTensor)

models/Modules_chutak.py:573

Method__init__

(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.InstanceNorm2d, use_sigmoid=False, getInt

models/Modules_chutak.py:617

Method__init__

(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, use_sigmoid=False, num_D=3,

models/Modules_chutak.py:677

Method__init__

(self, input_nc, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, bias=True, pad_ty

models/Modules_chutak.py:765

Method__init__

(self, input_nc, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, bias=True, pad_ty

models/Modules_chutak.py:818

Method__init__

(self, input_nc_each, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, bias=True, p

models/Modules_chutak.py:861

Method__init__

(self, input_nc, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, bias=True, pad_ty

models/Modules_chutak.py:910

Method__init__

(self, input_nc, kernel_size=3, stride=1, padding=1, dilation=1, groups=1, bias=True, pad_ty

models/Modules_chutak.py:938

Method__init__

(self, s_input_nc, input_nc, output_nc, scale_factor, norm='spectral')

models/Modules_chutak.py:966

Method__init__

(self, s_input_nc, input_nc, output_nc, scale_factor, norm='spectral')

models/Modules_chutak.py:1011

Method__init__

(self, input_nc, output_nc, norm='instance')

models/Modules_chutak.py:1059

Method__init__

(self, input_nc, output_nc, kernel_size, stride=2, pyr=2, gated=True, pad_type='reflect', no

models/Modules_chutak.py:1079

Method__init__

(self, input_nc, inter_nc=None, sub_sample=True, bn_layer=True)

models/Modules_chutak.py:1124

Method__init__

(self, input_nc, inter_nc=None, sub_sample=True, bn_layer=True)

models/Modules_chutak.py:1181

Method__init__

(self, input_nc, output_nc, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True,

models/Modules_chutak.py:1238

Method__init__

(self, input_nc, output_nc, kernel_size, stride=1, padding=0, dilation=1, groups=1, bias=True,

models/Modules_chutak.py:1304

Method__init__

(self, input_nc, output_nc, norm=None, acti='lrelu')

models/Modules_chutak.py:1379

Method__init__

(self, num_features, eps=1e-5, momentum=0.1)

models/Modules_chutak.py:1427

Method__init__

(self, module, name='weight', power_iterations=1)

models/Modules_chutak.py:1488

Method__init__

(self, input_nc, output_nc, ngf, ndf, latent_variable_size)

models/Modules_chutak.py:1544

Method__init__

(self, input_nc, output_nc, ngf, ndf, latent_variable_size)

models/Modules_chutak.py:1683

Method__init__

(self, input_nc, output_nc, ngf, ndf, latent_variable_size)

models/Modules_chutak.py:1831

Method__init__

(self, input_nc, output_nc, ngf, ndf, latent_variable_size)

models/Modules_chutak.py:1997

Method__init__

(self, input_nc, output_nc, kernel_size, stride=1, padding=1, bias=True, pad_type='zero', norm=None,

models/Modules_chutak.py:2178

Method__init__

(self, input_nc, output_nc, kernel_size, stride=1, padding=1, bias=True, pad_type='zero', norm=None,

models/Modules_chutak.py:2232

Method__init__

(self, input_nc, output_nc, ngf, ndf, latent_variable_size)

models/Modules_chutak.py:2287

Method__init__

(self, input_nc, output_nc, ngf, ndf, latent_variable_size)

models/Modules_chutak.py:2485

Method__init__

(self, input_nc, output_nc, ngf, ndf, latent_variable_size)

models/Modules_chutak.py:2655

Method__init__

(self, input_nc, output_nc, ngf, ndf, latent_variable_size)

models/Modules_chutak.py:2827

Method__init__

(self, input_nc, output_nc, ngf, ndf, latent_variable_size)

models/Modules_chutak.py:2968

Method__init__

(self, input_nc, output_nc, ngf, ndf, latent_variable_size)

models/Modules_chutak.py:3111

Method__init__

(self)

models/models_lifeifei.py:115

Method__init__

(self, input_size, output_size, kernel_size, stride, padding, bias=True)

models/models_lifeifei.py:209

Method__init__

(self, gate_channels)

models/cbam.py:8

Method__init__

(self, gate_channels, reduction_ratio=16, pool_types=['avg', 'max'])

models/cbam.py:26

Method__init__

(self, in_planes, out_planes, kernel_size, stride=1, padding=0, dilation=1, groups=1, relu=True,

models/cbam.py:72

Method__init__

(self, gate_channels, reduction_ratio=16, pool_types=['avg', 'max'])

(self, use_lsgan=True, target_real_label=1.0, target_fake_label=0.0, tensor=torch.FloatTensor

models/networks.py:78

Method__init__

(self, gpu_ids)

models/networks.py:123

Method__init__

(self, input_nc, output_nc, ngf=32, n_downsample_global=3, n_blocks_global=9, n_local_enhance

models/networks.py:141

Method__init__

(self, input_nc, output_nc, ngf=64, n_downsampling=3, n_blocks=9, norm_layer=nn.BatchNorm2d,

models/networks.py:200

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