yanx27/Pointnet_Pointnet2_pytorch

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4936 stars · 1020 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A pure PyTorch implementation of the PointNet and PointNet++ deep learning architectures for point cloud processing. It includes training and testing code for classification (ModelNet10/40), part segmentation (ShapeNet), and semantic segmentation (S3DIS) with pre-trained models.

Use cases

• classify 3D point clouds with PointNet
• train PointNet++ on ModelNet40
• semantic segmentation of indoor scenes with S3DIS
• part segmentation on ShapeNet
• reproduce PointNet paper results in PyTorch
• learn point cloud deep learning
• visualize point cloud segmentation results

When to choose

• you need a faithful, well-starred PyTorch reimplementation of PointNet/PointNet++
• you want pre-trained models for point cloud classification or segmentation benchmarks
• you are learning or teaching 3D deep learning on point sets

When to avoid

• you need state-of-the-art point cloud models beyond PointNet++
• you want a maintained library with recent updates and broad API support
• you need production-ready 3D perception pipelines rather than research code

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing data-visualization deep-learning computer-vision machine-learning artificial-intelligence python pointnet pointnet2 point-cloud pytorch semantic-segmentation classification modelnet shapenet s3dis 3d-deep-learning linux gpu

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