Introduction
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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/.
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:
Inpainting
- DeepFillv1 (CVPR'2018)
- DeepFillv2 (CVPR'2019)
- Global&Local (ToG'2017)
- PConv (ECCV'2018)
Super-Resolution
Please refer to model_zoo for more details.
License
This project is released under the Apache 2.0 license.
Changelog
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.
Installation
Please refer to install.md for installation.
Get Started
Please see getting_started.md for the basic usage of MMEditing.
Citation
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}
}Contributing
We appreciate all contributions to improve MMEditing. Please refer to CONTRIBUTING.md in MMDetection for the contributing guideline.
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.
Projects in OpenMMLab
- MMCV: OpenMMLab foundational library for computer vision.
- 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.