grid_fusion_pytorch
Efficient operations for fusing depth maps or point clouds with or without semantic annotation in a 3D voxel grid in pytorch. Corresponding backward passes are WIP. Uses TORCH.UTILS.CPP_EXTENSION following the structure of DirectVoxGO.
Setup
pip install grid-fusion-pytorch
Requirements
PyTorch must be installed with CUDA support. Also, Ninja is required to load C++ extensions. Install it with pip.
pip install ninja
Usage
Check out the colab demo.
1 maintainer
Metadata
1 maintainer
Release files for grid-fusion-pytorch 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| grid_fusion_pytorch-0.1.2.tar.gz | 501.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| grid_fusion_pytorch-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 526.8 kB
Release files / grid_fusion_pytorch-0.1.2.tar.gz
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| Tags | Python 3 |
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