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Efficient operations for fusing semantically annotated RGB-D measurements in a 3D voxel grid in pytorch.

Project description

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.

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