| # Installation |
|
|
| Before installing anything please make sure to set the environment variable |
| *$CUDA_SAMPLES_INC* to the path that contains the header `helper_math.h`, which |
| can be found in the repo [CUDA Samples repository](https://github.com/NVIDIA/cuda-samples). |
| To install the module run the following commands: |
|
|
| **1. Clone this repository** |
| ```Shell |
| git clone https://github.com/vchoutas/torch-mesh-isect |
| cd torch-mesh-isect |
| ``` |
| **2. Install the dependencies** |
| ```Shell |
| pip install -r requirements.txt |
| ``` |
| **3. Run the *setup.py* script** |
| ```Shell |
| python setup.py install |
| ``` |
|
|
| ## Dependencies |
|
|
| 1. [PyTorch](https://pytorch.org) |
|
|
| ### Optional Dependencies |
|
|
| 1. [Trimesh](https://trimsh.org) for loading triangular meshes |
| 2. [open3d](http://www.open3d.org/) for visualization |
|
|
| The code has been tested with Python 3.6, CUDA 10.0, CuDNN 7.3 and PyTorch 1.0. |
|
|
