for scannet #18
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Hi, I just checked my version of scene0059_00 and it has a sequence length of 1807. Please double check the integrity of your data and see if the error persists. |
I met the same error, and my GS viewer result is very bad, and get the inf new_scaling in gaussian. So I think you can check the GS viwer. |
(hislam2) gx@DESKTOP-UJ6NTN6:~/HISLAM2 (3)$ CUDA_LAUNCH_BLOCKING=1 python demo.py --imagedir data/scene0059_00/color --calib
calib/scannet.txt --config config/scannet_config.yaml --output outputs/scene0059 \
Processing keyframe 2 gs 0: 100%|█████████████████████████████████████████████████████████| 1024/1024 [00:29<00:00, 34.62it/s]
Traceback (most recent call last):
File "/home/gx/HISLAM2 (3)/demo.py", line 135, in
traj = hi2.terminate()
File "/home/gx/HISLAM2 (3)/hislam2/hi2.py", line 117, in terminate
d_covis = self.video.distance_covis(torch.arange(1, self.video.counter.value-1, device='cuda'))
File "/home/gx/HISLAM2 (3)/hislam2/depth_video.py", line 218, in distance_covis
d = d * (1. / self.disps[ii].median())
File "/home/gx/anaconda3/envs/hislam2/lib/python3.9/site-packages/torch/_tensor.py", line 40, in wrapped
return f(*args, **kwargs)
File "/home/gx/anaconda3/envs/hislam2/lib/python3.9/site-packages/torch/_tensor.py", line 913, in rdiv
return self.reciprocal() * other
RuntimeError: CUDA error: invalid configuration argument
Compile with
TORCH_USE_CUDA_DSAto enable device-side assertions.[W CudaIPCTypes.cpp:15] Producer process has been terminated before all shared CUDA tensors released. See Note [Sharing CUDA tensors]
The error message above is what I encountered when running the scene0059_00 dataset. I observed that the scene0059_00 dataset only has 1024 images, and the image quality is very low. Is it because of this reason that not enough keyframes are captured, making it difficult to initialize the map? Thank you for your answer.
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