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64 lines
1.6 KiB
Markdown
64 lines
1.6 KiB
Markdown
# NeRF Tutorial
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This example code is largely inspried from the Jupyter Notebook given by
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[the pytorch repository](https://github.com/facebookresearch/pytorch3d/blob/master/docs/tutorials/fit_simple_neural_radiance_field.ipynb).
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It has been adapted to be ran inside a python sheel and not a jupyer notebook.
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It is GPU only, there is support for CPU.
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It cannot run my lab computer: NVIDIA GeForce RTX 2060 (6GiB of VRAM)
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and thus need to be run on the cluster which has more VRAM.
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## Installation (using conda)
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Please refer to the original Pytorch3D project, here is a quick summary:
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```
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conda create -n pytorhc3d python=3.8
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conda activate pytorch3d
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conda install -c pytorch pytorch=1.7.1 torchvision cudatoolkit=10.2
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conda install -c conda-forge -c fvcore -c iopath fvcore iopath
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conda install -c bottler nvidiacub
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conda intall numpy matplotlib plotly
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```
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You can then clone this repo and run the code
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```
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git clone https://gitea.auro.re/otthorn/nerf_tutorial.git
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cd nerf_tutorial
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python3 main.py
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```
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To deactivate the conda env
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```
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conda deactivate
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```
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## Installation (using pip and virtualenv)
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This requires `Python>=3.8`
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First, clone the repo
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```
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git clone https://gitea.auro.re/otthorn/nerf_tutorial.git
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cd nerf_tutorial
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```
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Then install pytorch3d inside a virtualenv
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```
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virtualenv -p /usr/bin/python3.8 pytorch3d
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source pytorch3d/bin/activate
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pip3 install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu102_pyt171/download.html
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pip3 install torch torchvision
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```
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You can then run the code
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```
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python3 main.py
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```
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To deactivate the virtualenv
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```
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deactivate
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```
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