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PIL × DAT - Pillow extension for AI-based image upscaling.

Project description

iLoveData

PIL × DAT - Pillow extension for AI-based image upscaling.

License


Installation

For PyPI:

pip install pillow-dat

For Conda:

conda install -c conda-forge pillow-dat

Get started

    1. Download DAT_light_x2.pth model weight from Google Drive. We highly recommend utilizing DAT_light_x*.pth models due to their lightweight design and exceptional speed.
    1. 🎉 Then you are all set to upscale your images:
from PIL.Image import open
from PIL_DAT.Image import upscale

image = open("./lumine.png")
image = upscale(lumine_image, "./DAT_light_x2.pth", 2)
image.show()

Contribution

Please install Miniconda.

Please install VSCode extensions:

  • Black Formatter
  • isort
  • Python
  • Pylance

To create or update the pillow-dat Python environment:

conda env create --file environment.yml
conda env update --file environment.yml --prune

To install dependencies:

poetry install

To run unit tests:

pytest

Acknowledgement

This library is founded upon the pioneering research paper, "Dual Aggregation Transformer for Image Super-Resolution".

@inproceedings{chen2023dual,
    title={Dual Aggregation Transformer for Image Super-Resolution},
    author={Chen, Zheng and Zhang, Yulun and Gu, Jinjin and Kong, Linghe and Yang, Xiaokang and Yu, Fisher},
    booktitle={ICCV},
    year={2023}
}

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