Coldplayplay

You can just make your data learning from the style of Stanford3dDataset_v1.2. And then make use of collect_indoor3d_data.py for data re-organization and gen_indoor3d_h5.py to generate HDF5 files, as the author...

yeah, I am looking for methods of making semantic segmentation label directly on own point cloud data too, anyone has suggestions?