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Types & classes63 in github.com/CVMI-Lab/DODA

↓ 35 callersClassAverageMeter
Computes and stores the average and current value
util/common_utils.py:41
↓ 2 callersClassDataAugmentor
dataset/augmentor/data_augmentor.py:111
↓ 2 callersClassDistributedSampler
dataset/__init__.py:21
↓ 2 callersClassSplitSampler
dataset/augmentor/data_augmentor.py:43
↓ 2 callersClassUBlock
model/unet_block.py:55
↓ 1 callersClassCallbackContext
lib/sync_bn/replicate.py:23
↓ 1 callersClassCuboidMixingDataset
dataset/mix_dataset.py:59
↓ 1 callersClassDSNorm
model/dsnorm.py:12
↓ 1 callersClassDataReader
util/common_utils.py:20
↓ 1 callersClassFutureResult
A thread-safe future implementation. Used only as one-to-one pipe.
lib/sync_bn/comm.py:18
↓ 1 callersClassQueue
dataset/augmentor/data_augmentor.py:15
↓ 1 callersClassSlavePipe
Pipe for master-slave communication.
lib/sync_bn/comm.py:46
↓ 1 callersClassStableBCELoss
util/lovasz_loss.py:111
↓ 1 callersClassSyncMaster
An abstract `SyncMaster` object. - During the replication, as the data parallel will trigger an callback of each module, all slave devices should
lib/sync_bn/comm.py:56
↓ 1 callersClasslovasz_softmax_with_logit
util/loss_utils.py:9
ClassAggregation
lib/pointops2/functions/pointops_ablation.py:134
ClassAggregation
lib/pointops2/functions/pointops2.py:156
ClassAggregation
lib/pointops2/functions/pointops.py:178
ClassBFSCluster
lib/pointgroup_ops/functions/pointgroup_ops.py:155
ClassBallQueryBatchP
lib/pointgroup_ops/functions/pointgroup_ops.py:117
ClassConnectedComponent
lib/pointgroup_ops/src/datatype/datatype.h:37
ClassDSNorm1d
r"""Applies Batch Normalization over a 2D or 3D input (a mini-batch of 1D inputs with optional additional channel dimension) as described in the p
model/dsnorm.py:217
ClassDSNorm2d
r"""Applies Batch Normalization over a 4D input (a mini-batch of 2D inputs with additional channel dimension) as described in the paper `Batch
model/dsnorm.py:276
ClassDataParallelWithCallback
Data Parallel with a replication callback. An replication callback `__data_parallel_replicate__` of each module will be invoked after being
lib/sync_bn/replicate.py:50
ClassDataset
dataset/dataset.py:19
ClassFront3dDataset
dataset/front3d.py:18
ClassFurthestSampling
lib/pointops2/functions/pointops_ablation.py:10
ClassFurthestSampling
lib/pointops2/functions/pointops2.py:33
ClassFurthestSampling
lib/pointops2/functions/pointops.py:56
ClassGetIoU
lib/pointgroup_ops/functions/pointgroup_ops.py:226
ClassGrouping
lib/pointops2/functions/pointops_ablation.py:48
ClassGrouping
lib/pointops2/functions/pointops2.py:72
ClassGrouping
lib/pointops2/functions/pointops.py:94
ClassIntArrayHash
lib/pointgroup_ops/src/datatype/datatype.h:13
ClassInterpolation
lib/pointops2/functions/pointops_ablation.py:182
ClassInterpolation
lib/pointops2/functions/pointops2.py:204
ClassInterpolation
lib/pointops2/functions/pointops.py:226
ClassKNNBatch
lib/pointgroup_ops/functions/pointgroup_ops.py:349
ClassKNNQuery
lib/pointops2/functions/pointops_ablation.py:30
ClassKNNQuery
lib/pointops2/functions/pointops2.py:54
ClassKNNQuery
lib/pointops2/functions/pointops.py:76
ClassMixDatasetTemp
dataset/mix_dataset.py:8
ClassPointRecover
lib/pointgroup_ops/functions/pointgroup_ops.py:80
ClassResidualBlock
model/unet_block.py:10
ClassRoiPool
lib/pointgroup_ops/functions/pointgroup_ops.py:187
ClassS3DISDataset
dataset/s3dis.py:12
ClassScanNetDataset
dataset/scannet.py:11
ClassSecMax
lib/pointgroup_ops/functions/pointgroup_ops.py:322
ClassSecMean
lib/pointgroup_ops/functions/pointgroup_ops.py:258
ClassSecMin
lib/pointgroup_ops/functions/pointgroup_ops.py:294
ClassSparseConvNet
model/unet.py:15
ClassSparseGrid
lib/pointgroup_ops/src/datatype/datatype.h:26
ClassSubtraction
lib/pointops2/functions/pointops_ablation.py:104
ClassSubtraction
lib/pointops2/functions/pointops2.py:126
ClassSubtraction
lib/pointops2/functions/pointops.py:148
ClassSynchronizedBatchNorm1d
r"""Applies Synchronized Batch Normalization over a 2d or 3d input that is seen as a mini-batch. .. math:: y = \frac{x - mean[x]}{ \
lib/sync_bn/batchnorm.py:128
ClassSynchronizedBatchNorm2d
r"""Applies Batch Normalization over a 4d input that is seen as a mini-batch of 3d inputs .. math:: y = \frac{x - mean[x]}{ \sqrt{Va
lib/sync_bn/batchnorm.py:191
ClassSynchronizedBatchNorm3d
r"""Applies Batch Normalization over a 5d input that is seen as a mini-batch of 4d inputs .. math:: y = \frac{x - mean[x]}{ \sqrt{Va
lib/sync_bn/batchnorm.py:254
ClassTorchTestCase
lib/sync_bn/unittest.py:23
ClassVGGBlock
model/unet_block.py:41
ClassVoxelization
lib/pointgroup_ops/functions/pointgroup_ops.py:44
ClassVoxelization_Idx
lib/pointgroup_ops/functions/pointgroup_ops.py:13
Class_SynchronizedBatchNorm
lib/sync_bn/batchnorm.py:38