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】
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.
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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.
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57
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Language
Python
License
MIT
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Last pushed
Apr 27, 2025
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