5 ms·

The Github page has a lot more information: https://github.com/taki0112/UGATIT https://github.com/taki0112/UGATIT Might be worth changing the link to this.

• bentcorner 6y ago
  So, as someone with literally no experience with using this type of software, how do I go about self-hosting this? What are the hardware requirements?
  • walrus 6y ago
    The following instructions are for Linux or macOS. It may work on Windows too, but I'm not very experienced with Windows. No special hardware is required (you can run it on a CPU; no GPU needed). Install pyenv[0] and pyenv-virtualenv[1]. Clone the repo and set up an environment: git clone https://github.com/taki0112/UGATIT cd UGATIT pyenv install 3.6.10 # [2] pyenv virtualenv 3.6.10 UGATIT pyenv local UGATIT pyenv activate pip install opencv-python==4.2.0.34 tensorflow==1.14.0 Download the pretrained weights from https://github.com/taki0112/UGATIT/issues/50#issuecomment-531489641 https://github.com/taki0112/UGATIT/issues/50#issuecomment-53.... Extract them: tar xf ugatit100.tar.xz mkdir checkpoint mv UGATIT_selfie2anime* checkpoint mkdir -p dataset/selfie2anime/{train,test}{A,B} Crop your images in a 1:1 aspect ratio so that they contain only the head. Place them in the dataset/selfie2anime/testA/ directory. Run the program: python main.py --dataset selfie2anime --phase test Open results/*/index.html in your browser to see the results. [0] https://github.com/pyenv/pyenv#installation https://github.com/pyenv/pyenv#installation [1] https://github.com/pyenv/pyenv-virtualenv#installation https://github.com/pyenv/pyenv-virtualenv#installation [2] Other versions may work, but this is the version mentioned in https://github.com/taki0112/UGATIT#requirements https://github.com/taki0112/UGATIT#requirements
    • bentcorner 6y ago
      Thank you so much! I'll give this a crack on windows and see how it turns out.
      • bentcorner 6y ago
        I got it working via WSL on windows. Thanks!