mirror of https://github.com/open-mmlab/mmpose
88 lines
3.6 KiB
Markdown
88 lines
3.6 KiB
Markdown
# Welcome to Projects of MMPose
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Hey there! This is the place for you to contribute your awesome keypoint detection techniques to MMPose!
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We know the unit tests in core package can be a bit intimidating, so we've made it easier and more efficient for you to implement your algorithms here.
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And the **best part**?
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- Projects in this folder are designed to be **easier to merge**!
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- Projects in this folder are **NOT** strictly required for **writing unit tests**!
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- We want to make it **as painless as possible** for you to contribute and make MMPose even greater.
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If you're not sure where to start, check out our [example project](./example_project) to see how to add your algorithms easily. And if you have any questions, take a look at our [FAQ](./faq.md).
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We also provide some documentation listed below to help you get started:
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- [New Model Guide](https://mmpose.readthedocs.io/en/latest/guide_to_framework.html#step3-model)
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A guide to help you add new models to MMPose.
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- [Contribution Guide](https://mmpose.readthedocs.io/en/latest/contribution_guide.html)
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A guide for new contributors on how to add their projects to MMPose.
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- [Discussions](https://github.com/open-mmlab/mmpose/discussions)
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We encourage you to start a discussion and share your ideas!
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## Project List
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- **[:zap:RTMPose](./rtmpose)**: Real-Time Multi-Person Pose Estimation toolkit based on MMPose <sup>
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<a href="https://openxlab.org.cn/apps/detail/mmpose/RTMPose">
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<i>TRY IT NOW</i>
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</a>
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</sup>
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<div align="center">
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<img src="https://github.com/open-mmlab/mmpose/assets/13503330/5b637d76-41dd-4376-9a7f-854cd120799d" width=800 height=200 />
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</div><br/>
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- **[🎳RTMO](./rtmo)**: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation <sup>
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<a href="https://openxlab.org.cn/apps/detail/mmpose/RTMPose">
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<i>TRY IT NOW</i>
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</a>
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</sup>
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<div align="center">
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<img src="https://github.com/open-mmlab/mmpose/assets/26127467/61120930-09e5-4457-aa2c-b2f131d4f710" width=800 />
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</div><br/>
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- **[♾️PoseAnything](./pose_anything/)**: A Graph-Based Approach for Category-Agnostic Pose Estimation
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<div align=center>
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<img src="https://github.com/open-mmlab/mmpose/assets/26127467/47acbd42-e812-4994-b287-b2a2b5ccbd80" width="800"/>
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</div><br/>
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- **[:art:MMPose4AIGC](./mmpose4aigc)**: Guide AI image generation with MMPose
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<div align=center>
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<img src="https://user-images.githubusercontent.com/13503330/222403836-c65ba905-4bdd-4a44-834c-ff8d5959649d.png" width="800"/>
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</div><br/>
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- **[:bulb:YOLOX-Pose](./yolox_pose)**: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss
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<div align=center>
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<img src="https://user-images.githubusercontent.com/26127467/226655503-3cee746e-6e42-40be-82ae-6e7cae2a4c7e.jpg" width="800" style="width: 800px; height: 200px; object-fit: cover"/>
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</div><br/>
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- **[📖Awesome MMPose](./awesome-mmpose/)**: A list of Tutorials, Papers, Datasets related to MMPose
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<div align=center>
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<img src="https://user-images.githubusercontent.com/13503330/231416285-5467d313-0732-4ada-97e1-12be6ec69a28.png" width="800"/>
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</div><br/>
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- **[💃Just-Dance](./just_dance)**: Enhancing Dance scoring system for comparing dance performances in videos. <sup>
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<a href="https://openxlab.org.cn/apps/detail/mmpose/just_dance-mmpose">
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<i>TRY IT NOW</i>
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</a>
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</sup>
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<div align=center>
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<img src="https://github.com/open-mmlab/mmpose/assets/26127467/a80978ad-c66d-4bac-bf56-1fa191716f1c" width="800" style="width: 800px; height: 200px; object-fit: cover"/>
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</div><br/>
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- **What's next? Join the rank of <span style="color:blue"> *MMPose contributors* </span> by creating a new project**!
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