Skip to main content

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

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}
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pillow_dat-0.1.3.tar.gz (16.6 kB view details)

Uploaded Source

Built Distribution

pillow_dat-0.1.3-py3-none-any.whl (19.2 kB view details)

Uploaded Python 3

File details

Details for the file pillow_dat-0.1.3.tar.gz.

File metadata

  • Download URL: pillow_dat-0.1.3.tar.gz
  • Upload date:
  • Size: 16.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.2 Windows/11

File hashes

Hashes for pillow_dat-0.1.3.tar.gz
Algorithm Hash digest
SHA256 454fde5b9df253262aee8449bcd1f636dee6b6426bf3020886a236c5dcd5f67e
MD5 dadadedce43aa2668c93d3213fd2ad71
BLAKE2b-256 2b600f46b1d2f782fc346e93a72fbc93ae9b92fe0d009ec7b036ee10d824d367

See more details on using hashes here.

File details

Details for the file pillow_dat-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: pillow_dat-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 19.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.12.2 Windows/11

File hashes

Hashes for pillow_dat-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 c8d0d7ad456da27e6a15d7f65733aa693ef5a5db4cf10a4da7a93cd3507a6b0b
MD5 800c8483d694ae718a28524e0383100b
BLAKE2b-256 e6663aa5571d849eb2de95c49ccbb5df35de134ed46aef934f5aeecf14341a17

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page