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Types & classes69 in github.com/CGuangyan-BIT/PointGPT

⨍ Functions 329◇ Types & classes 69
↓ 6 callersClassAcc_Metric
tools/runner_finetune.py:37
↓ 6 callersClassAverageMeter
utils/AverageMeter.py:2
↓ 4 callersClassAcc_Metric
tools/runner_pretrain.py:31
↓ 4 callersClassChamferDistanceL1
f''' Chamder Distance L1
extensions/chamfer_dist/__init__.py:64
↓ 4 callersClassChamferDistanceL2
f''' Chamder Distance L2
extensions/chamfer_dist/__init__.py:28
↓ 2 callersClassBlock
models/GPT.py:8
↓ 2 callersClassBlock
segmentation/models/gpt2_seg.py:7
↓ 2 callersClassEncoder_large
models/PointGPT.py:18
↓ 2 callersClassEncoder_small
models/PointGPT.py:55
↓ 2 callersClassGPT_extractor
models/GPT.py:31
↓ 2 callersClassGPT_generator
models/GPT.py:104
↓ 2 callersClassGroup
models/PointGPT.py:90
↓ 2 callersClassPartNormalDataset
segmentation/dataset.py:66
↓ 2 callersClassPositionEmbeddingCoordsSine
Similar to transformer's position encoding, but generalizes it to arbitrary dimensions and continuous coordinates. Args: n_dim: Numbe
models/PointGPT.py:257
↓ 1 callersClassAttention
models/PointGPT.py:207
↓ 1 callersClassAttention
segmentation/models/pt.py:210
↓ 1 callersClassBNMomentumScheduler
utils/misc.py:97
↓ 1 callersClassBNMomentumScheduler
segmentation/misc.py:102
↓ 1 callersClassBlock
segmentation/models/pt.py:240
↓ 1 callersClassChamferDistanceL1
f''' Chamder Distance L1
segmentation/extensions/chamfer_dist/__init__.py:64
↓ 1 callersClassChamferDistanceL2
f''' Chamder Distance L2
segmentation/extensions/chamfer_dist/__init__.py:28
↓ 1 callersClassEncoder_large
segmentation/models/pt.py:154
↓ 1 callersClassEncoder_small
segmentation/models/pt.py:121
↓ 1 callersClassGPT_Transformer
models/PointGPT.py:307
↓ 1 callersClassGPT_extractor
segmentation/models/gpt2_seg.py:35
↓ 1 callersClassGPT_generator
segmentation/models/gpt2_seg.py:95
↓ 1 callersClassGroup
segmentation/models/pt.py:28
↓ 1 callersClassMlp
models/PointGPT.py:188
↓ 1 callersClassMlp
segmentation/models/pt.py:191
↓ 1 callersClassModelNetDataLoader
segmentation/dataset.py:9
↓ 1 callersClassPointNetFeaturePropagation
segmentation/models/pointnet2_utils.py:262
↓ 1 callersClassPositionEmbeddingCoordsSine
Similar to transformer's position encoding, but generalizes it to arbitrary dimensions and continuous coordinates. Args: n_dim: Numbe
segmentation/models/pt.py:288
↓ 1 callersClassearth_mover_distance
f''' emd
extensions/emd/emd.py:26
↓ 1 callersClassearth_mover_distance
f''' emd
segmentation/extensions/emd/emd.py:26
ClassBlock
models/PointGPT.py:235
ClassChamferDistanceL2_split
f''' Chamder Distance L2
extensions/chamfer_dist/__init__.py:46
ClassChamferDistanceL2_split
f''' Chamder Distance L2
segmentation/extensions/chamfer_dist/__init__.py:46
ClassChamferDistanceTestCase
extensions/chamfer_dist/test.py:23
ClassChamferDistanceTestCase
segmentation/extensions/chamfer_dist/test.py:23
ClassChamferFunction
extensions/chamfer_dist/__init__.py:13
ClassChamferFunction
segmentation/extensions/chamfer_dist/__init__.py:13
ClassEarthMoverDistanceFunction
extensions/emd/emd.py:5
ClassEarthMoverDistanceFunction
segmentation/extensions/emd/emd.py:5
ClassIO
datasets/io.py:6
ClassLabeledHybrid
datasets/LabeledHybrid.py:10
ClassModelNet
datasets/ModelNetDataset.py:53
ClassModelNetFewShot
datasets/ModelNetDatasetFewShot.py:29
ClassPointGPT
models/PointGPT.py:442
ClassPointNetFeaturePropagation
segmentation/pointnet_util.py:261
ClassPointNetSetAbstraction
segmentation/pointnet_util.py:159
ClassPointNetSetAbstraction
segmentation/models/pointnet2_utils.py:158
ClassPointNetSetAbstractionMsg
segmentation/pointnet_util.py:199
ClassPointNetSetAbstractionMsg
segmentation/models/pointnet2_utils.py:202
ClassPointTransformer
models/PointGPT.py:503
ClassPointcloudJitter
datasets/data_transforms.py:36
ClassPointcloudRandomInputDropout
datasets/data_transforms.py:78
ClassPointcloudRotate
datasets/data_transforms.py:6
ClassPointcloudScale
datasets/data_transforms.py:50
ClassPointcloudScaleAndTranslate
datasets/data_transforms.py:20
ClassPointcloudTranslate
datasets/data_transforms.py:64
ClassRandomHorizontalFlip
datasets/data_transforms.py:95
ClassRegistry
A registry to map strings to classes. Registered object could be built from registry. Example: >>> MODELS = Registry('models')
utils/registry.py:6
ClassScanObjectNN
datasets/ScanObjectNNDataset.py:12
ClassScanObjectNN_hardest
datasets/ScanObjectNNDataset.py:52
ClassShapeNet
datasets/ShapeNet55Dataset.py:11
ClassTransformerEncoder
Transformer Encoder without hierarchical structure
segmentation/models/pt.py:261
ClassUnlabeledHybrid
datasets/UnlabeledHybrid.py:11
Classget_loss
segmentation/models/pt.py:522
Classget_model
segmentation/models/pt.py:338