drprojects/superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"
PythonMIT
Issues
- 9
- 2
DDP/DP training
#71 opened - 3
fine-tuning on pretrained weights
#70 opened - 1
- 0
Inference on a single csv
#68 opened - 2
- 21
- 6
Odd Classification Behaviour
#63 opened - 1
- 2
inference error
#61 opened - 0
inference error
#60 opened - 3
- 1
- 1
Raw and Processed file
#57 opened - 1
Focal Loss
#56 opened - 2
Is CUDA 12.0 supported now?
#55 opened - 4
s3dis dataset corrupt
#54 opened - 10
- 2
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- 8
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nag.select().save() RuntimeError
#42 opened - 6
- 4
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Custom Dataset Index Error
#36 opened - 5
Implementing SensatUrban
#35 opened - 4
Prediction without sampling
#34 opened - 1
custom dataset problem
#33 opened - 3
RANSAC Error on Custom Dataset
#32 opened - 3
- 2
Evaluation on KITTI-360 Test set
#30 opened - 8
- 3
Can't resolve OOM Error caused by FRNN
#28 opened - 5
OutOfMemoryError when run eval.py
#27 opened - 5
- 1
About Superpoint-Graphs Computation
#25 opened - 1
Where can I get pretrained model?
#24 opened - 6
- 5
- 9
cuda out of memory when test
#21 opened - 8
- 1
Inference on own data
#19 opened - 14
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