fxia22/pointnet.pytorch
PyTorch implementation of PointNet for 3D point cloud classification and segmentation.

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This repository provides a PyTorch implementation of the PointNet architecture, a deep learning model designed for processing 3D point sets. The model supports two primary tasks: classification on datasets like ModelNet40 and ShapeNet, and part segmentation on ShapeNet. The implementation includes training scripts for both tasks and a feature transform option for improved performance.