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Types & classes65 in github.com/ZengxiZhang/HUPE

⨍ Functions 239◇ Types & classes 65
↓ 8 callersClassConv2D
code/models/modules/base_layers.py:91
↓ 5 callersClassConvTranspose2D
code/models/modules/base_layers.py:106
↓ 4 callersClassMaxPooling2D
code/models/modules/base_layers.py:121
↓ 3 callersClassConv_BN_Relu
code/models/modules/base_layers.py:41
↓ 3 callersClassResidualDenseBlock_5C
code/models/modules/color_encoder.py:13
↓ 3 callersClassResidualDenseBlock_5C
code/models/modules/RRDBNet_arch.py:12
↓ 3 callersClassResidualDenseBlock_5C
code/models/modules/ConditionEncoder.py:13
↓ 2 callersClassConcat
code/models/modules/base_layers.py:181
↓ 2 callersClassConv2d
code/models/modules/flow.py:13
↓ 2 callersClassConv2dZeros
code/models/modules/flow.py:55
↓ 2 callersClassFlowStep
code/models/modules/FlowStep.py:19
↓ 2 callersClassMeanShift
code/models/modules/loss.py:34
↓ 2 callersClassRRDBNet
code/models/modules/RRDBNet_arch.py:51
↓ 2 callersClassVgg19
code/models/modules/vgg.py:41
↓ 1 callersClassActNorm2d
code/models/modules/FlowActNorms.py:113
↓ 1 callersClassBasicConv
code/models/modules/cbam_fromdehazeflow.py:6
↓ 1 callersClassCBAM
code/models/modules/base_layers.py:170
↓ 1 callersClassCBAM
code/models/modules/cbam_fromdehazeflow.py:89
↓ 1 callersClassChannelAttention
code/models/modules/base_layers.py:139
↓ 1 callersClassChannelGate
code/models/modules/cbam_fromdehazeflow.py:26
↓ 1 callersClassChannelPool
code/models/modules/cbam_fromdehazeflow.py:73
↓ 1 callersClassColorEncoder
code/models/modules/color_encoder.py:52
↓ 1 callersClassConEncoder1
code/models/modules/ConditionEncoder.py:62
↓ 1 callersClassContext
code/models/modules/FlowAffineCouplingsAblation.py:194
↓ 1 callersClassCosineAnnealingLR_Restart
code/models/lr_scheduler.py:37
↓ 1 callersClassFFTConvBlock
code/models/modules/FlowAffineCouplingsAblation.py:234
↓ 1 callersClassFlatten
code/models/modules/cbam_fromdehazeflow.py:22
↓ 1 callersClassFlowUpsamplerNet
code/models/modules/FlowUpsamplerNet.py:16
↓ 1 callersClassMultiStepLR_Restart
code/models/lr_scheduler.py:8
↓ 1 callersClassNoneDict
code/options/options.py:29
↓ 1 callersClassSpatialAttention
code/models/modules/base_layers.py:156
↓ 1 callersClassSpatialGate
code/models/modules/cbam_fromdehazeflow.py:77
ClassAFG
code/models/modules/FlowAffineCouplingsAblation.py:209
ClassAverageMeter
Computes and stores the average and current value
code/utils/util.py:252
ClassAvgPooling2D
code/models/modules/base_layers.py:130
ClassBaseModel
code/models/base_model.py:13
ClassCharbonnierLoss
Charbonnier Loss (L1)
code/models/modules/loss.py:108
ClassCondAffineSeparatedAndCond
code/models/modules/FlowAffineCouplingsAblation.py:11
ClassDoubleConv
code/models/modules/base_layers.py:57
ClassGANLoss
code/models/modules/loss.py:121
ClassGaussianDiag
code/models/modules/flow.py:73
ClassGradientPenaltyLoss
code/models/modules/loss.py:155
ClassInvertibleConv1x1
code/models/modules/Permutations.py:12
ClassLLFlow
code/models/modules/LLFlow_arch.py:21
ClassLLFlowModel
code/models/LLFlow_model.py:17
ClassMSIA
code/models/modules/base_layers.py:5
ClassMaskedActNorm2d
code/models/modules/FlowActNorms.py:125
ClassNoEncoder
code/models/modules/ConditionEncoder.py:153
ClassRRDB
Residual in Residual Dense Block
code/models/modules/color_encoder.py:36
ClassRRDB
Residual in Residual Dense Block
code/models/modules/RRDBNet_arch.py:35
ClassRRDB
Residual in Residual Dense Block
code/models/modules/ConditionEncoder.py:39
ClassResConv
code/models/modules/base_layers.py:68
ClassResidualBlock_noBN
Residual block w/o BN ---Conv-ReLU-Conv-+- |________________|
code/models/modules/module_util.py:37
ClassSSIM
code/utils/util.py:60
ClassSSIM
code/models/modules/loss.py:227
ClassScopeTimer
code/utils/timer.py:4
ClassSplit2d
code/models/modules/Split.py:13
ClassSqueezeLayer
code/models/modules/flow.py:152
ClassTickTock
code/utils/timer.py:38
ClassTimer
code/utils/timer.py:18
ClassTripleLoss
code/models/modules/loss.py:77
ClassVGGLoss1
code/models/modules/loss.py:50
ClassVGG_Loss
Calculates perceptual loss in vgg19 space
code/models/modules/loss.py:9
ClassVgg16
code/models/modules/vgg.py:7
Class_ActNorm
Activation Normalization Initialize the bias and scale with a given minibatch, so that the output per-channel have zero mean and unit var
code/models/modules/FlowActNorms.py:10