I followed your instruction to run mip nerf 360 data successfully with four commands. When I was trying to run my own data with ns-train tetranerf colmap --data, an error occurred called File "/media/stereye/f1a736d6-e532-4ef2-a3b9-493fb9fb7ab/sam/codes/nerfstudio/nerfstudio/cameras/cameras.py",line 288,in is jagged h jagged = not torch.all(self.height == self.height.view(-1)[0]) RuntimeError: CUDA error:device-side assert triggered CuDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA LAUNCH BLOCKING=1 Compile with TORCH USE CUDA DSA' to enable device-side assertions.
I also tried ns-train tetranerf colmap with mipnnerf 360 dataset, since it also accord with the colmap data structure. The same errors occurred. So, does the command work?
Hi, thank you for your work.
I followed your instruction to run mip nerf 360 data successfully with four commands. When I was trying to run my own data with
ns-train tetranerf colmap --data, an error occurred calledFile "/media/stereye/f1a736d6-e532-4ef2-a3b9-493fb9fb7ab/sam/codes/nerfstudio/nerfstudio/cameras/cameras.py",line 288,in is jagged h jagged = not torch.all(self.height == self.height.view(-1)[0]) RuntimeError: CUDA error:device-side assert triggered CuDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA LAUNCH BLOCKING=1 Compile with TORCH USE CUDA DSA' to enable device-side assertions.I also tried
ns-train tetranerf colmapwith mipnnerf 360 dataset, since it also accord with the colmap data structure. The same errors occurred. So, does the command work?