Resources

• https://arxiv.org/abs/1612.00593
• https://github.com/charlesq34/pointnet
• https://github.com/yanx27/Pointnet_Pointnet2_pytorch

Datasets

• http://buildingparser.stanford.edu/dataset.html
• https://modelnet.cs.princeton.edu/

API

Generate proto files:

• python -m grpc_tools.protoc -I./grpc --python_out=src/gen/ --grpc_python_out=src/gen/ --pyi_out=src/gen grpc/ai.proto

Usage

• Download dataset modelnet40_ply_hdf5_2048.zip

• Run: python src/app.py --pretrained_c pretrained/best_model_cls.t7

• Generate .ply files from dataset: python src/gen_clouds.py --pretrained_c pretrained/best_model_cls.t7

Labels

SemSeg: classes = ['ceiling', 'floor', 'wall', 'beam', 'column', 'window', 'door', 'table', 'chair', 'sofa', 'bookcase', 'board', 'clutter']