Functions — github.com/ZengxiZhang/HUPE

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Functions239 in github.com/ZengxiZhang/HUPE

⨍ Functions 239◇ Types & classes 65

↓ 34 callersFunctionopt_get

(opt, keys, default=None)

code/utils/util.py:242

↓ 10 callersMethod__init__

(self, filters, activation='lrelu')

code/models/modules/base_layers.py:6

↓ 8 callersMethodto

(self, device)

code/models/LLFlow_model.py:30

↓ 7 callersMethod__init__

(self, window_size=11, size_average=True)

code/models/modules/loss.py:228

↓ 7 callersFunctionunsqueeze2d

(input, factor=2)

code/models/modules/flow.py:135

↓ 5 callersMethodget_module

(self, model)

code/models/LLFlow_model.py:34

↓ 4 callersFunctionfiFindByWildcard

(wildcard)

code/test.py:13

↓ 4 callersMethodget_logdet

(self, scale)

code/models/modules/FlowAffineCouplingsAblation.py:123

↓ 3 callersMethod__init__

(self, gate_channels, reduction_ratio=16, pool_types=('avg', 'max'), no_spatial=False)

code/models/modules/cbam_fromdehazeflow.py:90

↓ 3 callersMethod__init__

(self, nf, gc=32)

code/models/modules/ConditionEncoder.py:42

↓ 3 callersMethod__init__

(self, in_channels=24, kernel_size=3)

code/models/modules/FlowAffineCouplingsAblation.py:210

↓ 3 callersFunctioncreate_window

(window_size, channel)

code/utils/util.py:30

↓ 3 callersFunctioncreate_window

(window_size, channel)

code/models/modules/loss.py:202

↓ 3 callersFunctiongetConditional

(rrdbResults, position)

code/models/modules/FlowStep.py:14

↓ 3 callersFunctionimread

(path)

code/test.py:31

↓ 3 callersMethodsplit

(self, z)

code/models/modules/FlowAffineCouplingsAblation.py:164

↓ 3 callersFunctiont_tensor

(array)

code/test.py:24

↓ 2 callersMethodF

(self, in_channels, out_channels, hidden_channels, kernel_hidden=1, n_hidden_layers=1)

code/models/modules/FlowAffineCouplingsAblation.py:170

↓ 2 callersMethod__init__

(self, in_channels, out_channels, kernel_size=[3, 3], stride=[1, 1], padding

code/models/modules/flow.py:34

↓ 2 callersMethod__init__

(self, nf, gc=32)

code/models/modules/color_encoder.py:39

↓ 2 callersMethod__init__

(self, nf, gc=32)

code/models/modules/RRDBNet_arch.py:38

↓ 2 callersMethod__init__

(self, num_features, scale=1.)

code/models/modules/FlowActNorms.py:19

↓ 2 callersMethod_center

(self, input, reverse=False, offset=None)

code/models/modules/FlowActNorms.py:48

↓ 2 callersMethod_check_input_dim

(self, input)

code/models/modules/FlowActNorms.py:29

↓ 2 callersMethod_scale

(self, input, logdet=None, reverse=False, offset=None)

code/models/modules/FlowActNorms.py:59

↓ 2 callersFunction_ssim

(img1, img2, window, window_size, channel, size_average=True)

code/utils/util.py:37

↓ 2 callersFunction_ssim

(img1, img2, window, window_size, channel, size_average=True)

code/models/modules/loss.py:209

↓ 2 callersMethodaffine_need_features

(self)

code/models/modules/FlowStep.py:133

↓ 2 callersMethodasserts

(self, scale, shift, z1, z2)

code/models/modules/FlowAffineCouplingsAblation.py:117

↓ 2 callersFunctioncalc_mean_std

(feat, eps = 1e-5)

code/models/modules/loss.py:178

↓ 2 callersMethodexp_eps

(self, logs)

code/models/modules/Split.py:32

↓ 2 callersFunctionf_conv2d_bias

(in_channels, out_channels)

code/models/modules/glow_arch.py:7

↓ 2 callersMethodfeature_extract

(self, z, f)

code/models/modules/FlowAffineCouplingsAblation.py:126

↓ 2 callersMethodfeature_extract_aff

(self, z1, ft, A)

code/models/modules/FlowAffineCouplingsAblation.py:138

↓ 2 callersMethodget_features

(self, image, layers=None)

code/models/modules/loss.py:18

↓ 2 callersMethodget_logdet

(self, logs, mean, z2)

code/models/modules/Split.py:66

↓ 2 callersMethodget_padding

(padding, kernel_size, stride)

code/models/modules/flow.py:20

↓ 2 callersFunctionget_position_name

(H, scale, opt)

code/models/modules/FlowUpsamplerNet.py:305

↓ 2 callersFunctionget_timestamp

()

code/utils/util.py:125

↓ 2 callersMethodlikelihood

lnL = -1/2 * { ln|Var| + ((X - Mu)^T)(Var^-1)(X - Mu) + kln(2*PI) } k = 1 (Independent) Var = logs ** 2

code/models/modules/flow.py:77

↓ 2 callersFunctionmkdir

(path)

code/utils/util.py:129

↓ 2 callersMethodsplit2d_prior

(self, z, ft)

code/models/modules/Split.py:26

↓ 2 callersFunctionsqueeze2d

(input, factor=2)

code/models/modules/flow.py:115

↓ 1 callersFunctionOrderedYaml

yaml orderedDict support

code/utils/util.py:105

↓ 1 callersMethod__init__

(self, optimizer, milestones, restarts=None, weights=None, gamma=0.1, clear_state=False, last

code/models/lr_scheduler.py:9

↓ 1 callersMethod__init__

(self, requires_grad=False)

code/models/modules/vgg.py:8

↓ 1 callersMethodarch_FlowStep

(self, H, K, LU_decomposed, W, actnorm_scale, affineInCh, flow_coupling, flow_permutation,

code/models/modules/FlowUpsamplerNet.py:118

↓ 1 callersMethodarch_additionalFlowAffine

(self, H, LU_decomposed, W, actnorm_scale, hidden_channels, opt)

code/models/modules/FlowUpsamplerNet.py:165

↓ 1 callersMethodarch_split

(self, H, W, L, levels, opt, opt_get)

code/models/modules/FlowUpsamplerNet.py:145

↓ 1 callersMethodarch_squeeze

(self, H, W)

code/models/modules/FlowUpsamplerNet.py:179

↓ 1 callersMethodcheck_image_shape

(self)

code/models/modules/FlowUpsamplerNet.py:194

↓ 1 callersFunctionconv_down

(in_size, out_size, bias=False)

code/models/modules/FlowAffineCouplingsAblation.py:230

↓ 1 callersFunctioncreate_model

(opt, step=0, **opt_kwargs)

code/models/__init__.py:39

↓ 1 callersMethoddecode

(self, rrdbResults, z, eps_std=None, epses=None, logdet=0.0, y_onehot=None,return_middleflow=False)

code/models/modules/FlowUpsamplerNet.py:263

↓ 1 callersFunctionfind_model_using_name

(model_name)

code/models/__init__.py:14

↓ 1 callersFunctionfind_model_using_name

(model_name)

code/models/networks.py:10

↓ 1 callersMethodforward

(self, input)

code/models/modules/flow.py:48

↓ 1 callersMethodforward

(self, input, logdet=None, reverse=False, offset_mask=None, logs_offset=None, bias_offset=None)

code/models/modules/FlowActNorms.py:81

↓ 1 callersMethodforward_split2d

(self, epses, fl_fea, layer, logdet, reverse, rrdbResults, y_onehot=None)

code/models/modules/FlowUpsamplerNet.py:255

↓ 1 callersMethodforward_split2d_reverse

(self, eps_std, epses, fl_fea, layer, rrdbResults, logdet, y_onehot=None)

code/models/modules/FlowUpsamplerNet.py:297

↓ 1 callersFunctiongaussian

(window_size, sigma)

code/utils/util.py:25

↓ 1 callersFunctiongaussian

(window_size, sigma)

code/models/modules/loss.py:197

↓ 1 callersMethodget_affineInCh

(self, opt_get)

code/models/modules/FlowUpsamplerNet.py:189

↓ 1 callersMethodget_condAffSetting

(self, opt, opt_get)

code/models/modules/FlowUpsamplerNet.py:140

↓ 1 callersMethodget_flow_permutation

(self, flow_permutation, opt)

code/models/modules/FlowUpsamplerNet.py:185

↓ 1 callersMethodget_grad_outputs

(self, input)

code/models/modules/loss.py:161

↓ 1 callersMethodget_n_rrdb_channels

(self, opt, opt_get)

code/models/modules/FlowUpsamplerNet.py:113

↓ 1 callersMethodget_sr

(self, lq, heat=None, seed=None, z=None, epses=None)

code/models/LLFlow_model.py:40

↓ 1 callersMethodget_target_label

(self, input, target_is_real)

code/models/modules/loss.py:142

↓ 1 callersMethodget_weight

(self, input, reverse)

code/models/modules/Permutations.py:21

↓ 1 callersMethodget_z

(self, heat, seed=None, batch_size=1, lr_shape=None)

code/models/LLFlow_model.py:51

↓ 1 callersMethodgradient

(self, x)

code/models/modules/ConditionEncoder.py:254

↓ 1 callersFunctionimwrite

(path, img)

code/test.py:35

↓ 1 callersMethodinitialize_parameters

(self, input)

code/models/modules/FlowActNorms.py:32

↓ 1 callersFunctioninitialize_weights

(net_l, scale=1)

code/models/modules/module_util.py:10

↓ 1 callersFunctionload_model

(conf_path, model_path)

code/test.py:16

↓ 1 callersMethodload_network

(self, load_path, network, strict=True, submodule=None)

code/models/base_model.py:22

↓ 1 callersMethodlogp

(mean, logs, x)

code/models/modules/flow.py:89

↓ 1 callersFunctionlogsumexp_2d

(tensor)

code/models/modules/cbam_fromdehazeflow.py:67

↓ 1 callersFunctionmain

()

code/test.py:42

↓ 1 callersMethodnormal_flow

(self, z, logdet, rrdbResults=None)

code/models/modules/FlowStep.py:76

↓ 1 callersFunctionpadding_same

(kernel, stride)

code/models/modules/glow_arch.py:8

↓ 1 callersMethodreset

Reset all statistics

code/utils/util.py:256

↓ 1 callersMethodreverse_flow

(self, z, logdet, rrdbResults=None)

code/models/modules/FlowStep.py:111

↓ 1 callersMethodreverse_flow

(self, lr, z, y_onehot, eps_std, epses=None, lr_enc=None, add_gt_noise=True)

code/models/modules/LLFlow_arch.py:111

↓ 1 callersFunctionrgb

(t)

code/test.py:27

↓ 1 callersMethodrrdbPreprocessing

(self, lr)

code/models/modules/LLFlow_arch.py:87

↓ 1 callersMethodsample_eps

(shape, eps_std, seed=None)

code/models/modules/flow.py:107

↓ 1 callersMethodset_rrdb_training

(self, trainable)

code/models/modules/LLFlow_arch.py:69

↓ 1 callersMethodsplit_ratio

(self, input)

code/models/modules/Split.py:71

↓ 1 callersFunctionsum

(tensor, dim=None, keepdim=False)

code/models/modules/thops.py:7

Method__call__

(self, x, y)

code/models/modules/loss.py:67

Method__call__

(self, p, x,n)

code/models/modules/loss.py:96

Method__enter__

(self)

code/utils/timer.py:8

Method__exit__

(self, *args)

code/utils/timer.py:12

Method__init__

(self, name)

code/utils/timer.py:5

Method__init__

(self)

code/utils/timer.py:19

Method__init__

(self)

code/utils/timer.py:39

Method__init__

(self, window_size=11, size_average=True)

code/utils/util.py:61

Method__init__

(self)

code/utils/util.py:254

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