the-database / traiNNer-redux

Deep learning training framework for image super resolution and restoration.

Home Page:https://basicsr.readthedocs.io/en/latest/

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A community fork of BasicSR and traiNNer-redux that adds experimental features.

  • Adds OmniSR network support.
  • Adds Contextual Loss, Color Loss, Averaging Downscale Loss
  • Adds Mix of Augmentations. Currently supports: CutBlur, CutMixUp, CutOut, CutMix, MixUp, RGB and blend.
  • Adds more optimizers. Currently supports: Lion, Tiger, Lamb, AdamP, Prodigy, DAdaptAdam and DAdaptAdan.

LICENSE

⚑HowTo | πŸ”§Installation | πŸ’»Training Commands | 🐒DatasetPrepare | 🏰Model Zoo

πŸ“œ License and Acknowledgement

This project is released under the Apache 2.0 license.
More details about license and acknowledgement are in LICENSE.

This repository is a fork of BasicSR:

Xintao Wang, Liangbin Xie, Ke Yu, Kelvin C.K. Chan, Chen Change Loy and Chao Dong. BasicSR: Open Source Image and Video Restoration Toolbox. https://github.com/xinntao/BasicSR, 2022.

About

Deep learning training framework for image super resolution and restoration.

https://basicsr.readthedocs.io/en/latest/

License:Apache License 2.0


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