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github.com/baowenbo/DAIN
/ types & classes
Types & classes
65 in github.com/baowenbo/DAIN
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Functions
273
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Types & classes
65
↓ 26 callers
Class
LambdaReduce
MegaDepth/pytorch_DIW_scratch.py:26
↓ 14 callers
Class
AverageMeter
Computes and stores the average and current value
AverageMeter.py:3
↓ 9 callers
Class
FilterInterpolationModule
my_package/FilterInterpolation/FilterInterpolationModule.py:8
↓ 4 callers
Class
Correlation
PWCNet/correlation_package_pytorch1_0/correlation.py:47
↓ 4 callers
Class
FlowProjectionModule
my_package/FlowProjection/FlowProjectionModule.py:5
↓ 4 callers
Class
LambdaMap
MegaDepth/pytorch_DIW_scratch.py:22
↓ 4 callers
Class
S2DF
S2D_models/S2DF.py:97
↓ 3 callers
Class
DepthFlowProjectionModule
my_package/DepthFlowProjection/DepthFlowProjectionModule.py:7
↓ 3 callers
Class
TrainOptions
MegaDepth/options/train_options.py:3
↓ 2 callers
Class
ListDataset
datasets/listdatasets.py:53
↓ 2 callers
Class
MultipleBasicBlock
Resblock/BasicBlock.py:50
↓ 2 callers
Class
PairedData
MegaDepth/data/aligned_data_loader.py:12
↓ 2 callers
Class
PixelValueLayer
my_package/FilterInterpolation/FilterInterpolationLayer.py:172
↓ 2 callers
Class
PixelWeightLayer
my_package/FilterInterpolation/FilterInterpolationLayer.py:267
↓ 2 callers
Class
ReliableWeightLayer
my_package/FilterInterpolation/FilterInterpolationLayer.py:441
↓ 2 callers
Class
Stack
Stack.py:2
↓ 2 callers
Class
WeightLayer
my_package/FilterInterpolation/FilterInterpolationLayer.py:82
↓ 1 callers
Class
AdaptiveWeightInterpolationModule
my_package/FilterInterpolation/FilterInterpolationModule.py:25
↓ 1 callers
Class
AlignedDataLoader
MegaDepth/data/aligned_data_loader.py:35
↓ 1 callers
Class
AlignedDataLoader_TEST
MegaDepth/data/aligned_data_loader.py:58
↓ 1 callers
Class
BasicBlock
Resblock/BasicBlock.py:11
↓ 1 callers
Class
CorrelationFunction
PWCNet/correlation_package_pytorch1_0/correlation.py:6
↓ 1 callers
Class
FlowProjectionLayer
my_package/FlowProjection/FlowProjectionLayer.py:10
↓ 1 callers
Class
HGModel
MegaDepth/models/HG_model.py:10
↓ 1 callers
Class
HTML
MegaDepth/util/html.py:6
↓ 1 callers
Class
ImageFolder
MegaDepth/data/image_folder.py:34
↓ 1 callers
Class
ImageFolder_TEST
MegaDepth/data/image_folder.py:124
↓ 1 callers
Class
InterpolationChModule
my_package/InterpolationCh/InterpolationChModule.py:5
↓ 1 callers
Class
InterpolationModule
my_package/Interpolation/InterpolationModule.py:5
↓ 1 callers
Class
PWCDCNet
PWC-DC net. add dilation convolution and densenet connections
PWCNet/PWCNet.py:41
↓ 1 callers
Class
PWCDCNet
PWC-DC net. add dilation convolution and densenet connections
PWCNet/models/PWCNet.py:38
↓ 1 callers
Class
PWCDCNet_old
PWC-DC net. add dilation convolution and densenet connections
PWCNet/PWCNet.py:322
↓ 1 callers
Class
PWCDCNet_old
PWC-DC net. add dilation convolution and densenet connections
PWCNet/models/PWCNet.py:276
↓ 1 callers
Class
ReduceLROnPlateau
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 callers
Class
S2DFsim
S2D_models/S2DF.py:147
↓ 1 callers
Class
SeparableConvFlowLayer
my_package/SeparableConvFlow/SeparableConvFlowLayer.py:10
↓ 1 callers
Class
SeparableConvFlowModule
my_package/SeparableConvFlow/SeparableConvFlowModule.py:5
↓ 1 callers
Class
SeparableConvLayer
my_package/SeparableConv/SeparableConvLayer.py:10
↓ 1 callers
Class
SeparableConvModule
my_package/SeparableConv/SeparableConvModule.py:5
Class
BaseDataLoader
MegaDepth/data/base_data_loader.py:2
Class
BaseModel
MegaDepth/models/base_model.py:4
Class
BaseOptions
MegaDepth/options/base_options.py:5
Class
BasicBlock
S2D_models/S2DF.py:26
Class
Bottleneck
S2D_models/S2DF.py:58
Class
DAIN
networks/DAIN.py:16
Class
DAIN_slowmotion
networks/DAIN_slowmotion.py:16
Class
DepthFlowProjectionLayer
my_package/DepthFlowProjection/DepthFlowProjectionLayer.py:7
Class
ExponentialLR
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
Class
FilterInterpolationLayer
my_package/FilterInterpolation/FilterInterpolationLayer.py:10
Class
FlowFillholelayer
my_package/FlowProjection/FlowProjectionLayer.py:87
Class
ImagePool
MegaDepth/util/image_pool.py:6
Class
InterpolationChLayer
my_package/InterpolationCh/InterpolationChLayer.py:10
Class
InterpolationLayer
my_package/Interpolation/InterpolationLayer.py:10
Class
Lambda
MegaDepth/pytorch_DIW_scratch.py:18
Class
LambdaBase
MegaDepth/pytorch_DIW_scratch.py:7
Class
LambdaLR
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
Class
MultiStepLR
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
Class
RandomBalancedSampler
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
Class
SequentialBalancedSampler
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
Class
StepLR
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
Class
TestOptions
MegaDepth/options/test_options.py:3
Class
Visualizer
MegaDepth/util/visualizer.py:8
Class
_LRScheduler
lr_scheduler.py:5
Class
minDepthFlowProjectionLayer
my_package/MinDepthFlowProjection/minDepthFlowProjectionLayer.py:7
Class
minDepthFlowProjectionModule
my_package/MinDepthFlowProjection/minDepthFlowProjectionModule.py:7