erikwijmans/Pointnet2_PyTorch
A PyTorch implementation of PointNet++ architectures for 3D point cloud processing with custom CUDA operations.
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This repository provides a PyTorch implementation of PointNet and PointNet++ neural network architectures for processing 3D point clouds. It includes custom CUDA operations for point cloud ops and supports multi-GPU training via DataParallel. The training pipeline is built with PyTorch Lightning and Hydra for experiment configuration. It supports classification and semantic segmentation tasks on 3D point cloud data.
Frequently asked
- What is erikwijmans/Pointnet2_PyTorch?
- A PyTorch implementation of PointNet++ architectures for 3D point cloud processing with custom CUDA operations.
- Is Pointnet2_PyTorch open source?
- Yes — erikwijmans/Pointnet2_PyTorch is open source, released under the Unlicense license.
- What language is Pointnet2_PyTorch written in?
- erikwijmans/Pointnet2_PyTorch is primarily written in Python.
- How popular is Pointnet2_PyTorch?
- erikwijmans/Pointnet2_PyTorch has 1.8k stars on GitHub.
- Where can I find Pointnet2_PyTorch?
- erikwijmans/Pointnet2_PyTorch is on GitHub at https://github.com/erikwijmans/Pointnet2_PyTorch.