I'm just starting to learn some deep learning concepts for point clouds. I have a project that requires voxelization as an operation, and I need to incorporate voxelization as a layer in a PyTorch model.
I noticed that TorchSparse has a method torchsparse.nn.functional.spvoxelize that seems very similar to the voxelization module in PVCNN. The TorchSparse wiki does not provide information about the counts parameter, I'm not sure what it is.
The question is, if I have coords, feats, and resolution, how can I use spvoxelize to get a voxelized output with the shape (b, c, resolution, resolution, resolution)?
Hi~
I'm just starting to learn some deep learning concepts for point clouds. I have a project that requires voxelization as an operation, and I need to incorporate voxelization as a layer in a PyTorch model.
I noticed that TorchSparse has a method torchsparse.nn.functional.spvoxelize that seems very similar to the voxelization module in PVCNN. The TorchSparse wiki does not provide information about the counts parameter, I'm not sure what it is.
The question is, if I have coords, feats, and resolution, how can I use spvoxelize to get a voxelized output with the shape (b, c, resolution, resolution, resolution)?
thanks very much yifan