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Types & classes38 in github.com/ant-research/CoDeF

⨍ Functions 310◇ Types & classes 38
↓ 4 callersClassVideoVisualizer
Defines the video visualizer that presents images as a video.
utils/video_visualizer.py:9
↓ 3 callersClassFlyingThings3D
data_preprocessing/RAFT/core/datasets.py:137
↓ 3 callersClassautocast
data_preprocessing/RAFT/core/raft.py:15
↓ 2 callersClassBasicEncoder
data_preprocessing/RAFT/core/extractor.py:118
↓ 2 callersClassBottleneckBlock
data_preprocessing/RAFT/core/extractor.py:60
↓ 2 callersClassEmbedding
models/implicit_model.py:72
↓ 2 callersClassFlowHead
data_preprocessing/RAFT/core/update.py:6
↓ 2 callersClassKITTI
data_preprocessing/RAFT/core/datasets.py:161
↓ 2 callersClassMpiSintel
data_preprocessing/RAFT/core/datasets.py:102
↓ 2 callersClassResidualBlock
data_preprocessing/RAFT/core/extractor.py:6
↓ 2 callersClassSmallEncoder
data_preprocessing/RAFT/core/extractor.py:195
↓ 1 callersClassAlternateCorrBlock
data_preprocessing/RAFT/core/corr.py:63
↓ 1 callersClassAnnealedEmbedding
models/implicit_model.py:114
↓ 1 callersClassAnnealedHash
models/implicit_model.py:172
↓ 1 callersClassBasicMotionEncoder
data_preprocessing/RAFT/core/update.py:79
↓ 1 callersClassBasicUpdateBlock
data_preprocessing/RAFT/core/update.py:114
↓ 1 callersClassConvGRU
data_preprocessing/RAFT/core/update.py:16
↓ 1 callersClassCorrBlock
data_preprocessing/RAFT/core/corr.py:12
↓ 1 callersClassDeform_Hash3d
models/implicit_model.py:316
↓ 1 callersClassDeform_Hash3d_Warp
models/implicit_model.py:339
↓ 1 callersClassFlowAugmentor
data_preprocessing/RAFT/core/utils/augmentor.py:15
↓ 1 callersClassFlyingChairs
data_preprocessing/RAFT/core/datasets.py:121
↓ 1 callersClassGradualWarmupScheduler
Gradually warm-up(increasing) learning rate in optimizer. Proposed in 'Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour'. Args:
utils/warmup_scheduler.py:4
↓ 1 callersClassHD1K
data_preprocessing/RAFT/core/datasets.py:180
↓ 1 callersClassImplicitVideo
models/implicit_model.py:220
↓ 1 callersClassImplicitVideoSystem
train.py:41
↓ 1 callersClassImplicitVideo_Hash
models/implicit_model.py:297
↓ 1 callersClassInputPadder
Pads images such that dimensions are divisible by 8
data_preprocessing/RAFT/core/utils/utils.py:7
↓ 1 callersClassRAFT
data_preprocessing/RAFT/core/raft.py:24
↓ 1 callersClassSepConvGRU
data_preprocessing/RAFT/core/update.py:33
↓ 1 callersClassSmallMotionEncoder
data_preprocessing/RAFT/core/update.py:62
↓ 1 callersClassSmallUpdateBlock
data_preprocessing/RAFT/core/update.py:99
↓ 1 callersClassSparseFlowAugmentor
data_preprocessing/RAFT/core/utils/augmentor.py:122
↓ 1 callersClassTranslationField
models/implicit_model.py:13
ClassDistributedWeightedSampler
r"""Sampler that restricts data loading to a subset of the dataset. It is especially useful in conjunction with :class:`torch.nn.parallel.Dis
datasets/distributed_weighted_sampler.py:14
ClassFlowDataset
data_preprocessing/RAFT/core/datasets.py:18
ClassMSELoss
losses.py:7
ClassVideoDataset
datasets/video_dataset.py:12