#PointNet++

Explore a simple, effective method for 3D point cloud classification, supported by robust baselines for protocols like PointNet++, DGCNN, and RSCNN. The project's comprehensive setup guide and pre-built configurations facilitate experimentation, allowing improvements through pre-trained models on datasets such as ModelNet40 and ScanObjectNN.

Discover how Open3D and PointNet++ improve semantic segmentation on Semantic3D datasets. This project exemplifies advanced 3D data processing, including visualization, voxel down-sampling, and efficient nearest neighbor searching. It provides comprehensive guidelines from preprocessing to model training and prediction, assisting researchers and developers in refining 3D segmentation processes.