nikitakaraevv/pointnet

PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

49
/ 100
Emerging

This project helps classify 3D objects or segment their parts directly from raw 3D point cloud data. You feed in a 3D scan or point cloud representation of an object, and it tells you what the object is (e.g., a chair, a bathtub) or identifies its distinct parts (e.g., an airplane wing, fuselage). It's ideal for engineers, designers, or researchers working with 3D models and scans.

274 stars. No commits in the last 6 months.

Use this if you need to automatically identify 3D objects or their components from raw point cloud data for tasks like quality control, robotics, or augmented reality.

Not ideal if your input data is in 2D image format or if you need to perform complex scene understanding beyond single object classification or segmentation.

3D object recognition point cloud analysis industrial automation 3D modeling computer vision
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

How are scores calculated?

Stars

274

Forks

72

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

May 05, 2023

Commits (30d)

0

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