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1020 B
1020 B
NeRF Tutorial
This example code is largely inspried from the Jupyter Notebook given by https://github.com/facebookresearch/pytorch3d/blob/master/docs/tutorials/fit_simple_neural_radiance_field.ipynb
It has been adapted to be ran inside a python sheel and not a jupyer notebook. It is GPU only, there is support for CPU.
It cannot run my lab computer: NVIDIA GeForce RTX 2060 (6GiB of VRAM) and thus need to be run on the cluster which has more VRAM.
Installation
Please refer to the original Pytorch3D project, here is a quick summary:
conda create -n pytorhc3d python=3.8
conda activate pytorch3d
conda install -c pytorch pytorch=1.7.1 torchvision cudatoolkit=10.2
conda install -c conda-forge -c fvcore -c iopath fvcore iopath
conda install -c bottle nvidiacub
conda intall numpy matplotlib plotly
You can then clone this repo and run the code
git clone https://gitea.auro.re/otthorn/nerf_tutorial.git
cd nerf_tutorial
python3 main.py
To deactivate the conda env
conda deactivate