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MMEditing is an open source image and video editing toolbox based on PyTorch. It is a part of the OpenMMLab project.

The master branch works with PyTorch 1.3 to 1.6.

Documentation: https://mmediting.readthedocs.io/en/latest/.

• Modular design

  We decompose the editing framework into different components and one can easily construct a customized editor framework by combining different modules.

• Support of multiple tasks in editing

  The toolbox directly supports popular and contemporary inpainting, matting, super-resolution and generation tasks.

• State of the art

  The toolbox provides state-of-the-art methods in inpainting/matting/super-resolution/generation.

Supported algorithms:

Please refer to model_zoo for more details.

This project is released under the Apache 2.0 license.

v0.9.0 was released in 2021-6-31.

Note that MMSR has been merged into this repo, as a part of MMEditing. With elaborate designs of the new framework and careful implementations, hope MMEditing could provide better experience.

Please refer to install.md for installation.

Please see getting_started.md for the basic usage of MMEditing.

If you find this project useful in your research, please consider cite:

@misc{mmediting2020,
    title={OpenMMLab Editing Estimation Toolbox and Benchmark},
    author={MMEditing Contributors},
    howpublished = {\url{https://github.com/open-mmlab/mmediting}},
    year={2020}
}

We appreciate all contributions to improve MMEditing. Please refer to CONTRIBUTING.md in MMDetection for the contributing guideline.

MMEditing is an open source project that is contributed by researchers and engineers from various colleges and companies. We appreciate all the contributors who implement their methods or add new features, as well as users who give valuable feedbacks. We wish that the toolbox and benchmark could serve the growing research community by providing a flexible toolkit to reimplement existing methods and develop their own new methods.

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• MMDetection: OpenMMLab detection toolbox and benchmark.
• MMDetection3D: OpenMMLab's next-generation platform for general 3D object detection.
• MMSegmentation: OpenMMLab semantic segmentation toolbox and benchmark.
• MMAction2: OpenMMLab's next-generation action understanding toolbox and benchmark.
• MMTracking: OpenMMLab video perception toolbox and benchmark.
• MMPose: OpenMMLab pose estimation toolbox and benchmark.
• MMEditing: OpenMMLab image and video editing toolbox.
• MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding.
• MMGeneration: A powerful toolkit for generative models.