Comments (3)
ThibaultGROUEIX
commented on July 19, 2024
Hi @kampelmuehler
I think it is just changing the types, that's a great idea.
You're welcome to make a PR for this.
Cheers,
Thibault
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ThibaultGROUEIX
commented on July 19, 2024
Though now looking at the date of your issue, you may not be interested in this feature anymore
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kampelmuehler
commented on July 19, 2024
Thanks, you're right - my interest has dwindled meanwhile
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Related Issues (20)
- Compile problem HOT 5
- error in nnd updateOutput: invalid device function HOT 2
- chamfer4D HOT 2
- error in nnd updateOutput: invalid device function ; error in nnd get grad: invalid device function HOT 4
- Due to KITTI Semantic datasets' dimension is 4D(xyz+brightness),I tried to imitate a 4d version of chamfer,can you help me to inspect whether my code is correct? HOT 1
- Problem about installation HOT 5
- ImportError: DLL load failed while importing chamfer3D: The specified module could not be found. HOT 2
- 'Segmentation fault (core dumped)' when moving a tensor to a device HOT 1
- The results of the two runs are different HOT 1
- Doesn't work with cpuonly pytorch install HOT 1
- pytorch-1.2.0，get error HOT 2
- larger 3D point clouds HOT 3
- CUDA ERROR HOT 2
- ModuleNotFoundError: No module named 'chamfer3D.dist_chamfer_3D'; 'chamfer3D' is not a package HOT 3
- How to build with CUDA11+? HOT 3
- Unit Test HOT 1
- error:Command '['ninja', '-v']' returned non-zero exit status 1. HOT 3
- How to calculate the loss during training. HOT 1
- the question is how do I calculate the L2 Chamfer distance in predicted point cloud and real point cloud in your paper code
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