Comments (1)
There have been some non-backward-compatible changes in Pointnet2_PyTorch repository.
We have fixed the issue and suggest two solutions:
- Pulling our dev Docker image (linux / amd64)
- Building your own Docker image using the given updated Dockerfile. See registration/README.md
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Related Issues (20)
- NameError: name 'farthest_point_sample' is not defined HOT 3
- Whether the SampleNet is suitable for large scene data sets like semantic3d or KITTI? HOT 2
- Compare with your first paper HOT 3
- What does "Classification accuracy" mean in the paper? HOT 1
- Can SampleNet obtain better performance on Semantic Segmentation task? HOT 4
- problem with knn_cuda torch HOT 1
- Some problems with converting Tensorflow framework to PyTorch framework HOT 5
- Difference test set accuracy of train_samplenet.py and evaluate_samplenet.py in the classification task HOT 3
- Visualization HOT 7
- Have you applied this work to PointNet++? HOT 1
- Reconstruction Use other data HOT 6
- Question about reflectivity HOT 1
- How to process my point cloud file with the network HOT 5
- problem with dataloader HOT 1
- Can't run compile_ops.sh in classification folder and GPU usage HOT 7
- registration result visualization HOT 1
- classification HOT 1
- Using the SampleNet for LiDAR pointcloud HOT 1
- Docker problem in registration HOT 1
- Classification Accuracy HOT 9
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