wwhio / mmediting

OpenMMLab Image and Video Editing Toolbox

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

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool


English | 简体中文

Documentation actions codecov PyPI LICENSE Average time to resolve an issue Percentage of issues still open

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+. Please kindly note that MMEditing will switch to PyTorch 1.5+ from Oct. 2021. The compatibility to earlier versions of PyTorch will no longer be guaranteed.

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

Major features

  • 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.

Model Zoo

Supported algorithms:


Please refer to model_zoo for more details.


This project is released under the Apache 2.0 license.


v0.10.0 was released in 2021-8-12.

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.

Get Started

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


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

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


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.

Projects in OpenMMLab

  • MMCV: OpenMMLab foundational library for computer vision.
  • MIM: MIM Installs OpenMMLab Packages.
  • MMClassification: OpenMMLab image classification toolbox and benchmark.
  • 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.
  • MMFlow: OpenMMLab optical flow toolbox and benchmark.
ezoic increase your site revenue


OpenMMLab Image and Video Editing Toolbox


License:Apache License 2.0


Language:Python 99.7%Language:Shell 0.2%Language:Dockerfile 0.0%Language:Batchfile 0.0%Language:Makefile 0.0%