Faster our code in CUDA.
- chamfer3D: 3D chamfer distance within two point cloud, by Qingwen Zhang involved when she was working on SeFlow.
- mmcv: directly from mmcv, not our code.
- mmdet: only python file, no need to compile
- histlib: from Yancong's ICP-Flow project.
Quick View about CUDA speed on our chamfer3D (Faster 60x than others):
The number of points: (pc0: 88132, pc1: 88101)
| Function | Time (ms) |
|---|---|
| Faiss | 817.698 |
| CUDA(SCOOP, Batch) | 83.275 |
| Pytorch3D | 68.256 |
| CUDA(SeFlow, SharedM) | 14.308 |
| 651.510 |