# 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](https://pytorch.org/docs/stable/cpp_extension.html#torch-utils-cpp-extension) following the structure of [DirectVoxGO](https://github.com/sunset1995/DirectVoxGO).

## Setup
```console
pip install grid-fusion-pytorch
```

## Requirements
[PyTorch](https://pytorch.org/get-started/locally/) must be installed with CUDA support. Also, [Ninja](https://ninja-build.org/) is required to load C++ extensions. Install it with pip.

```console
pip install ninja
```

## Usage
Check out the [colab demo](https://colab.research.google.com/github/JanNogga/grid_fusion_pytorch/blob/main/example_colab.ipynb).


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

Meet the Socket Team at BlackHat and DEF CON in Las Vegas, Aug 4-6

grid-fusion-pytorch

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

jnogga

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grid-fusion-pytorch

grid_fusion_pytorch

Setup

Requirements

Usage

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