CPones/PointNet-with-ModleNet40

基于深度学习的3D点云数据处理——开上之作PointNet模型【Pytorch版】

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/ 100
Experimental

This project helps classify and segment 3D point cloud data, which is common in areas like autonomous driving and augmented reality. It takes raw 3D point cloud data (like laser scans) as input and outputs classified objects or segmented parts of a 3D scene. This is useful for engineers and researchers working with 3D spatial data.

No commits in the last 6 months.

Use this if you need to automatically identify different objects or break down complex scenes within 3D point cloud scans.

Not ideal if your primary goal is to improve the PointNet model itself with advanced deep learning architectures, as this focuses on the foundational implementation.

3D-object-recognition autonomous-driving robotics augmented-reality computer-vision
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 3 / 25

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Stars

57

Forks

1

Language

Python

License

MIT

Last pushed

Apr 27, 2025

Commits (30d)

0

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