## Setup
1. Install anaconda or miniconda
2. Install git, then clone respository: `git clone https://github.com/harskish/ganspace/`
3. Create environment: `conda create -n ganspace python=3.7`
4. Activate environment: `conda activate ganspace`
5. Install dependencies: `conda env update -f environment.yml --prune`
6. Setup submodules: `git submodule update --init --recursive`
7. Run command `python -c "import nltk; nltk.download('wordnet')"`

### Interactive viewer
The interactive viewer (<i>interactive.py</i>) has the following dependencies:
- Glumpy
- PyCUDA with OpenGL support

#### Windows
Install included dependencies (downloaded from https://www.lfd.uci.edu/~gohlke/pythonlibs/):<br/> 
`pip install deps/windows/*`

#### Linux
1. Install CUDA toolkit (match the version in environment.yml)
2. Download pycuda sources from: https://pypi.org/project/pycuda/#files
3. Extract files: `tar -xzf pycuda-VERSION.tar.gz`
4. Configure: `python configure.py --cuda-enable-gl --cuda-root=/path/to/cuda`
5. Compile and install: `make install`
6. Install Glumpy: `pip install setuptools cython glumpy`

### StyleGAN2 setup (optional)
StyleGAN2 contains custom CUDA kernels for improved performance.<br>
Less performant native PyTorch fallbacks are used by default.
1. Install CUDA toolkit (match the version in environment.yml)
2. On Windows: install and open 'x64 Native Tools Command Prompt for VS 2017'
3. `conda activate ganspace`
4. `cd models/stylegan2/stylegan2-pytorch/op`
5. `python setup.py install`
6. Test: `python -c "import torch; import upfirdn2d_op; import fused; print('OK')"`