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Update install pipeline

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Matt Tancik 2022-09-30 10:55:04 -07:00
parent 5fac867502
commit 7d2552efe0
3 changed files with 8 additions and 4 deletions
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5
README.md
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@ -67,9 +67,10 @@ For more complex changes (e.g. running with your own data/ setting up a new NeRF
We reccomend using conda to manage dependencies. Make sure to install [Conda](https://docs.conda.io/en/latest/miniconda.html) before preceding.
```
conda create --name nerfstudio python=3.8.13
conda create --name nerfstudio -y python=3.8.13;
conda activate nerfstudio
python -m pip install --upgrade pip
```
### Dependencies
@ -79,6 +80,7 @@ Install pytorch with CUDA (this repo has been tested with CUDA 11.3) and [tiny-c
```
pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 -f https://download.pytorch.org/whl/torch_stable.html
pip install git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
```
### Installing nerfstudio
@ -95,6 +97,7 @@ If you would want the latest and greatest:
git clone git@github.com:plenoptix/nerfstudio.git
cd nerfstudio
pip install -e .
```
### Optional Installs

5
docs/tutorials/quickstart.md
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@ -5,9 +5,10 @@
We reccomend using conda to manage dependencies. Make sure to install [Conda](https://docs.conda.io/en/latest/miniconda.html) before preceding.
```bash
conda create --name nerfstudio python=3.8.13
conda create --name nerfstudio -y python=3.8.13
conda activate nerfstudio
python -m pip install --upgrade pip
```
### Dependencies
@ -17,6 +18,7 @@ Install pytorch with CUDA (this repo has been tested with CUDA 11.3) and [tiny-c
```bash
pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 -f https://download.pytorch.org/whl/torch_stable.html
pip install git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
```
### Installing nerfstudio
@ -33,6 +35,7 @@ If you would want the latest and greatest:
git clone git@github.com:plenoptix/nerfstudio.git
cd nerfstudio
pip install -e .
```
### Optional Installs

2
pyproject.toml
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@ -23,8 +23,6 @@ dependencies = [
"ninja==1.10.2.3",
"functorch==0.2.1",
"h5py>=2.9.0",
"hydra-colorlog==1.2.0",
"hydra-core==1.2.0",
"imageio==2.21.1",
"ipywidgets>=7.6",
"jupyterlab==3.3.4",