issue when training on colmap data
Closed this issue · 3 comments
Hi there,
I have encountered this issue when training on colmap data (neus-colmap and nerf-colmap)
RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu)
This error message shows up when the training process hits 5000 iterations
I have searched online but nothing really helpful
Any ideas how to solve this issue?
Thanks so much!
Hi there,
I have encountered this issue when training on colmap data (neus-colmap and nerf-colmap)
RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu)
This error message shows up when the training process hits 5000 iterations I have searched online but nothing really helpful Any ideas how to solve this issue?
Thanks so much!
I have the same problem. Have you solved it?
Hi there,
I have encountered this issue when training on colmap data (neus-colmap and nerf-colmap)
RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu)
This error message shows up when the training process hits 5000 iterations I have searched online but nothing really helpful Any ideas how to solve this issue?
Thanks so much!I have the same problem. Have you solved it?
This is because the dataset is not loaded on gpu, simply change load_data_on_gpu
in configs/neus-colmap.yaml
to true would fix the problem.
It took me several hours to find out lol.
Can you train Neus on the Colmap dataset and achieve good results? I can't render it on the mip nerf dataset and tTAT dataset, it always doesn't converge