BasicSR

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BasicSR is an open source image and video super-resolution toolbox based on PyTorch (may extend to more restoration tasks in the future).
_{(ESRGAN, EDVR, DNI, SFTGAN)}

Dependencies and Installation

• Python >= 3.7 (Recommend to use Anaconda or Miniconda)
• PyTorch >= 1.3
• NVIDIA GPU + CUDA

Please run the following commands in the BasicSR root path to install BasicSR:

python setup.py develop
pip install -r requirements.txt

Note that BasicSR is only tested in Ubuntu, and may be not suitable for Windows. You may try Windows WSL with CUDA supports :-) (It is now only available for insider build with Fast ring).

TODO List

Please see project boards.

Dataset Preparation

Please refer to Datasets.md for more details.

Train and Test

Please see TrainTest.md for the basic usage, i.e., training and testing.

Model Zoo and Baselines

Results and pre-trained models are available in ModelZoo.md.

Codebase Designs and Conventions

Please see DesignConvention.md for the designs and convetions of the BasicSR codebase.

License

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

Contact

If you have any question, please email xintao.wang@outlook.com.

_{^{BasicSR-private}}