fxia22/pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3428
- days_rel: n/a
- days_push: 1259
- n_releases_24m: 0
Adoption not part of the score
2354 stars · 632 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A PyTorch implementation of PointNet, the deep learning model for classification and segmentation of 3D point sets. It includes training scripts for ModelNet40 classification and ShapeNet part segmentation, plus a C++ visualization tool.
Use cases
- classify 3d point clouds with pointnet in pytorch
- train pointnet on modelnet40
- run part segmentation on shapenet point clouds
- reproduce pointnet paper results
- learn how pointnet works from code
- segment parts of 3d objects from point sets
When to choose
- you want a simple, readable PyTorch port of the original PointNet
- you need to train or evaluate point cloud classification or segmentation on ModelNet40 or ShapeNet
- you are studying or teaching point cloud deep learning
When to avoid
- you need state-of-the-art point cloud models like PointNet++ or transformers
- you need production-grade training pipelines with modern PyTorch features
- you need active development or frequent updates
Facets
library · maturity maintenance
machine-learning deep-learning machine-learning computer-vision python pointnet point-cloud pytorch 3d-classification 3d-segmentation modelnet40 shapenet
1 source
- readme: https://github.com/fxia22/pointnet.pytorch · fetched 2026-08-28 · bdb859224aaf
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| fxia22/pointnet.pytorch | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="fxia22/pointnet.pytorch")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem