Please refer to model_zoo for more details.

Contributing

We appreciate all contributions to improve MMEditing. Please refer to our contributing guidelines.

Acknowledgement

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.

Branch Maintenance Plan

MMEditing currently has two branches, the master and 1.x branches, which go through the following three phases.

| Phase | Time | Branch | description | | -------------------- | --------------------- | ----------------------------------------------------------------------------- | ---------------------------------------------------------------------------------- | | RC Period | 2022/9/1 - 2022.12.31 | Release candidate code (1.x version) will be released on 1.x branch. Default master branch is still 0.x version | Master and 1.x branches iterate normally | | Compatibility Period | 2023/1/1 - 2023.12.31 | Default master branch will be switched to 1.x branch, and 0.x branch will correspond to 0.x version | We still maintain the old version 0.x, respond to user needs, but try not to introduce changes that break compatibility; master branch iterates normally | | Maintenance Period | From 2024/1/1 | Default master branch corresponds to 1.x version and 0.x branch is 0.x version | 0.x branch is in maintenance phase, no more new feature support; master branch is iterating normally |

Citation

If MMEditing is helpful to your research, please cite it as below.

bibtex @misc{mmediting2022, title = {{MMEditing}: {OpenMMLab} Image and Video Editing Toolbox}, author = {{MMEditing Contributors}}, howpublished = {\url{https://github.com/open-mmlab/mmediting}}, year = {2022} }

License

This project is released under the Apache 2.0 license.

Projects in OpenMMLab

• MMEngine: OpenMMLab foundational library for training deep learning models.
• MMCV: OpenMMLab foundational library for computer vision.
• MMEval: A unified evaluation library for multiple machine learning libraries.
• 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.
• MMRotate: OpenMMLab rotated object detection toolbox and benchmark.
• MMSegmentation: OpenMMLab semantic segmentation toolbox and benchmark.
• MMOCR: OpenMMLab text detection, recognition, and understanding toolbox.
• MMPose: OpenMMLab pose estimation toolbox and benchmark.
• MMHuman3D: OpenMMLab 3D human parametric model toolbox and benchmark.
• MMSelfSup: OpenMMLab self-supervised learning toolbox and benchmark.
• MMRazor: OpenMMLab model compression toolbox and benchmark.
• MMFewShot: OpenMMLab fewshot learning toolbox and benchmark.
• MMAction2: OpenMMLab's next-generation action understanding toolbox and benchmark.
• MMTracking: OpenMMLab video perception toolbox and benchmark.
• MMFlow: OpenMMLab optical flow toolbox and benchmark.
• MMEditing: OpenMMLab image and video editing toolbox.
• MMGeneration: OpenMMLab image and video generative models toolbox.
• MMDeploy: OpenMMLab model deployment framework.