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Types & classes65 in github.com/baowenbo/DAIN

↓ 26 callersClassLambdaReduce
MegaDepth/pytorch_DIW_scratch.py:26
↓ 14 callersClassAverageMeter
Computes and stores the average and current value
AverageMeter.py:3
↓ 9 callersClassFilterInterpolationModule
my_package/FilterInterpolation/FilterInterpolationModule.py:8
↓ 4 callersClassCorrelation
PWCNet/correlation_package_pytorch1_0/correlation.py:47
↓ 4 callersClassFlowProjectionModule
my_package/FlowProjection/FlowProjectionModule.py:5
↓ 4 callersClassLambdaMap
MegaDepth/pytorch_DIW_scratch.py:22
↓ 4 callersClassS2DF
S2D_models/S2DF.py:97
↓ 3 callersClassDepthFlowProjectionModule
my_package/DepthFlowProjection/DepthFlowProjectionModule.py:7
↓ 3 callersClassTrainOptions
MegaDepth/options/train_options.py:3
↓ 2 callersClassListDataset
datasets/listdatasets.py:53
↓ 2 callersClassMultipleBasicBlock
Resblock/BasicBlock.py:50
↓ 2 callersClassPairedData
MegaDepth/data/aligned_data_loader.py:12
↓ 2 callersClassPixelValueLayer
my_package/FilterInterpolation/FilterInterpolationLayer.py:172
↓ 2 callersClassPixelWeightLayer
my_package/FilterInterpolation/FilterInterpolationLayer.py:267
↓ 2 callersClassReliableWeightLayer
my_package/FilterInterpolation/FilterInterpolationLayer.py:441
↓ 2 callersClassStack
Stack.py:2
↓ 2 callersClassWeightLayer
my_package/FilterInterpolation/FilterInterpolationLayer.py:82
↓ 1 callersClassAdaptiveWeightInterpolationModule
my_package/FilterInterpolation/FilterInterpolationModule.py:25
↓ 1 callersClassAlignedDataLoader
MegaDepth/data/aligned_data_loader.py:35
↓ 1 callersClassAlignedDataLoader_TEST
MegaDepth/data/aligned_data_loader.py:58
↓ 1 callersClassBasicBlock
Resblock/BasicBlock.py:11
↓ 1 callersClassCorrelationFunction
PWCNet/correlation_package_pytorch1_0/correlation.py:6
↓ 1 callersClassFlowProjectionLayer
my_package/FlowProjection/FlowProjectionLayer.py:10
↓ 1 callersClassHGModel
MegaDepth/models/HG_model.py:10
↓ 1 callersClassHTML
MegaDepth/util/html.py:6
↓ 1 callersClassImageFolder
MegaDepth/data/image_folder.py:34
↓ 1 callersClassImageFolder_TEST
MegaDepth/data/image_folder.py:124
↓ 1 callersClassInterpolationChModule
my_package/InterpolationCh/InterpolationChModule.py:5
↓ 1 callersClassInterpolationModule
my_package/Interpolation/InterpolationModule.py:5
↓ 1 callersClassPWCDCNet
PWC-DC net. add dilation convolution and densenet connections
PWCNet/PWCNet.py:41
↓ 1 callersClassPWCDCNet
PWC-DC net. add dilation convolution and densenet connections
PWCNet/models/PWCNet.py:38
↓ 1 callersClassPWCDCNet_old
PWC-DC net. add dilation convolution and densenet connections
PWCNet/PWCNet.py:322
↓ 1 callersClassPWCDCNet_old
PWC-DC net. add dilation convolution and densenet connections
PWCNet/models/PWCNet.py:276
↓ 1 callersClassReduceLROnPlateau
Reduce learning rate when a metric has stopped improving. Models often benefit from reducing the learning rate by a factor of 2-10 once lear
lr_scheduler.py:167
↓ 1 callersClassS2DFsim
S2D_models/S2DF.py:147
↓ 1 callersClassSeparableConvFlowLayer
my_package/SeparableConvFlow/SeparableConvFlowLayer.py:10
↓ 1 callersClassSeparableConvFlowModule
my_package/SeparableConvFlow/SeparableConvFlowModule.py:5
↓ 1 callersClassSeparableConvLayer
my_package/SeparableConv/SeparableConvLayer.py:10
↓ 1 callersClassSeparableConvModule
my_package/SeparableConv/SeparableConvModule.py:5
ClassBaseDataLoader
MegaDepth/data/base_data_loader.py:2
ClassBaseModel
MegaDepth/models/base_model.py:4
ClassBaseOptions
MegaDepth/options/base_options.py:5
ClassBasicBlock
S2D_models/S2DF.py:26
ClassBottleneck
S2D_models/S2DF.py:58
ClassDAIN
networks/DAIN.py:16
ClassDAIN_slowmotion
networks/DAIN_slowmotion.py:16
ClassDepthFlowProjectionLayer
my_package/DepthFlowProjection/DepthFlowProjectionLayer.py:7
ClassExponentialLR
Set the learning rate of each parameter group to the initial lr decayed by gamma every epoch. When last_epoch=-1, sets initial lr as lr. A
lr_scheduler.py:147
ClassFilterInterpolationLayer
my_package/FilterInterpolation/FilterInterpolationLayer.py:10
ClassFlowFillholelayer
my_package/FlowProjection/FlowProjectionLayer.py:87
ClassImagePool
MegaDepth/util/image_pool.py:6
ClassInterpolationChLayer
my_package/InterpolationCh/InterpolationChLayer.py:10
ClassInterpolationLayer
my_package/Interpolation/InterpolationLayer.py:10
ClassLambda
MegaDepth/pytorch_DIW_scratch.py:18
ClassLambdaBase
MegaDepth/pytorch_DIW_scratch.py:7
ClassLambdaLR
Sets the learning rate of each parameter group to the initial lr times a given function. When last_epoch=-1, sets initial lr as lr. Args:
lr_scheduler.py:34
ClassMultiStepLR
Set the learning rate of each parameter group to the initial lr decayed by gamma once the number of epoch reaches one of the milestones. When
lr_scheduler.py:109
ClassRandomBalancedSampler
Samples elements randomly, with an arbitrary size, independant from dataset length. this is a balanced sampling that will sample the whole dataset
balancedsampler.py:4
ClassSequentialBalancedSampler
Samples elements dequentially, with an arbitrary size, independant from dataset length. this is a balanced sampling that will sample the whole dat
balancedsampler.py:33
ClassStepLR
Sets the learning rate of each parameter group to the initial lr decayed by gamma every step_size epochs. When last_epoch=-1, sets initial l
lr_scheduler.py:73
ClassTestOptions
MegaDepth/options/test_options.py:3
ClassVisualizer
MegaDepth/util/visualizer.py:8
Class_LRScheduler
lr_scheduler.py:5
ClassminDepthFlowProjectionLayer
my_package/MinDepthFlowProjection/minDepthFlowProjectionLayer.py:7
ClassminDepthFlowProjectionModule
my_package/MinDepthFlowProjection/minDepthFlowProjectionModule.py:7