Comments (1)
The code release in this repo is meant for reproducing the results of research papers.
We help users who have trouble using the code to reproduce results in the paper, but in general, we do not provide suggestions on other issues such as how to apply the method to a new task or dataset.
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Related Issues (20)
- RuntimeError: Error building extension '_pvcnn_backend': HOT 3
- CUDA kernel failed : an illegal memory access was encountered HOT 2
- How to convert custom op into tensorrt HOT 1
- Why use the code x = x - (minx + args.block_size / 2) in data/s3dis/prepare_data.py? HOT 2
- Two questions about feature extraction HOT 2
- error when running "from modules.functional.backend import _backend" HOT 11
- Function TrilinearDevoxelizationBackward returned an invalid gradient at index 0 - got [4, 192, 32, 32, 32] but expected shape compatible with [4, 192, 34, 34, 34]
- voxelization part HOT 1
- Some issues about feature propessing. HOT 4
- Data Pre processing Issue. HOT 4
- Code about S3DIS visualization HOT 1
- About ModuleNotFoundError: No module named 'config.shapenet' HOT 1
- Can I use just one step of voxelization and devoxelization operator to voxelize and devoxelize the point cloud? HOT 2
- Pretrained Models Page Not Found HOT 3
- Voxel features are all zero HOT 3
- ImportError: DLL load failed while importing _pvcnn_backend: 找不到指定的模块。 HOT 2
- Model Inference HOT 1
- vox_coords = torch.round(norm_coords).to(torch.int32) HOT 1
- nvcc error : 'cudafe++' died with status 0xC00000FD (STACK_OVERFLOW) HOT 1
- Question about voxelization modul (compares to spvoxelize in torchsparse) HOT 1
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