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github.com/CVMI-Lab/DODA
/ types & classes
Types & classes
63 in github.com/CVMI-Lab/DODA
⨍
Functions
369
◇
Types & classes
63
↓ 35 callers
Class
AverageMeter
Computes and stores the average and current value
util/common_utils.py:41
↓ 2 callers
Class
DataAugmentor
dataset/augmentor/data_augmentor.py:111
↓ 2 callers
Class
DistributedSampler
dataset/__init__.py:21
↓ 2 callers
Class
SplitSampler
dataset/augmentor/data_augmentor.py:43
↓ 2 callers
Class
UBlock
model/unet_block.py:55
↓ 1 callers
Class
CallbackContext
lib/sync_bn/replicate.py:23
↓ 1 callers
Class
CuboidMixingDataset
dataset/mix_dataset.py:59
↓ 1 callers
Class
DSNorm
model/dsnorm.py:12
↓ 1 callers
Class
DataReader
util/common_utils.py:20
↓ 1 callers
Class
FutureResult
A thread-safe future implementation. Used only as one-to-one pipe.
lib/sync_bn/comm.py:18
↓ 1 callers
Class
Queue
dataset/augmentor/data_augmentor.py:15
↓ 1 callers
Class
SlavePipe
Pipe for master-slave communication.
lib/sync_bn/comm.py:46
↓ 1 callers
Class
StableBCELoss
util/lovasz_loss.py:111
↓ 1 callers
Class
SyncMaster
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 callers
Class
lovasz_softmax_with_logit
util/loss_utils.py:9
Class
Aggregation
lib/pointops2/functions/pointops_ablation.py:134
Class
Aggregation
lib/pointops2/functions/pointops2.py:156
Class
Aggregation
lib/pointops2/functions/pointops.py:178
Class
BFSCluster
lib/pointgroup_ops/functions/pointgroup_ops.py:155
Class
BallQueryBatchP
lib/pointgroup_ops/functions/pointgroup_ops.py:117
Class
ConnectedComponent
lib/pointgroup_ops/src/datatype/datatype.h:37
Class
DSNorm1d
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
Class
DSNorm2d
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
Class
DataParallelWithCallback
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
Class
Dataset
dataset/dataset.py:19
Class
Front3dDataset
dataset/front3d.py:18
Class
FurthestSampling
lib/pointops2/functions/pointops_ablation.py:10
Class
FurthestSampling
lib/pointops2/functions/pointops2.py:33
Class
FurthestSampling
lib/pointops2/functions/pointops.py:56
Class
GetIoU
lib/pointgroup_ops/functions/pointgroup_ops.py:226
Class
Grouping
lib/pointops2/functions/pointops_ablation.py:48
Class
Grouping
lib/pointops2/functions/pointops2.py:72
Class
Grouping
lib/pointops2/functions/pointops.py:94
Class
IntArrayHash
lib/pointgroup_ops/src/datatype/datatype.h:13
Class
Interpolation
lib/pointops2/functions/pointops_ablation.py:182
Class
Interpolation
lib/pointops2/functions/pointops2.py:204
Class
Interpolation
lib/pointops2/functions/pointops.py:226
Class
KNNBatch
lib/pointgroup_ops/functions/pointgroup_ops.py:349
Class
KNNQuery
lib/pointops2/functions/pointops_ablation.py:30
Class
KNNQuery
lib/pointops2/functions/pointops2.py:54
Class
KNNQuery
lib/pointops2/functions/pointops.py:76
Class
MixDatasetTemp
dataset/mix_dataset.py:8
Class
PointRecover
lib/pointgroup_ops/functions/pointgroup_ops.py:80
Class
ResidualBlock
model/unet_block.py:10
Class
RoiPool
lib/pointgroup_ops/functions/pointgroup_ops.py:187
Class
S3DISDataset
dataset/s3dis.py:12
Class
ScanNetDataset
dataset/scannet.py:11
Class
SecMax
lib/pointgroup_ops/functions/pointgroup_ops.py:322
Class
SecMean
lib/pointgroup_ops/functions/pointgroup_ops.py:258
Class
SecMin
lib/pointgroup_ops/functions/pointgroup_ops.py:294
Class
SparseConvNet
model/unet.py:15
Class
SparseGrid
lib/pointgroup_ops/src/datatype/datatype.h:26
Class
Subtraction
lib/pointops2/functions/pointops_ablation.py:104
Class
Subtraction
lib/pointops2/functions/pointops2.py:126
Class
Subtraction
lib/pointops2/functions/pointops.py:148
Class
SynchronizedBatchNorm1d
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
Class
SynchronizedBatchNorm2d
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
Class
SynchronizedBatchNorm3d
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
Class
TorchTestCase
lib/sync_bn/unittest.py:23
Class
VGGBlock
model/unet_block.py:41
Class
Voxelization
lib/pointgroup_ops/functions/pointgroup_ops.py:44
Class
Voxelization_Idx
lib/pointgroup_ops/functions/pointgroup_ops.py:13
Class
_SynchronizedBatchNorm
lib/sync_bn/batchnorm.py:38