README.md

Welcome to Projects of MMPose

Hey there! This is the place for you to contribute your awesome keypoint detection techniques to MMPose!

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.

And the best part?

• Projects in this folder are designed to be easier to merge!

• Projects in this folder are NOT strictly required for writing unit tests!

• We want to make it as painless as possible for you to contribute and make MMPose even greater.

If you're not sure where to start, check out our example project to see how to add your algorithms easily. And if you have any questions, take a look at our FAQ.

We also provide some documentation listed below to help you get started:

• New Model Guide

  A guide to help you add new models to MMPose.

• Contribution Guide

  A guide for new contributors on how to add their projects to MMPose.

• Discussions

  We encourage you to start a discussion and share your ideas!

Project List

• ⚡RTMPose: Real-Time Multi-Person Pose Estimation toolkit based on MMPose ^{TRY IT NOW}

  
  
  

• 🎳RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation ^{TRY IT NOW}

  
  
  

• ♾️PoseAnything: A Graph-Based Approach for Category-Agnostic Pose Estimation

  
  
  

• 🎨MMPose4AIGC: Guide AI image generation with MMPose

  
  
  

• 💡YOLOX-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss

  
  
  

• 📖Awesome MMPose: A list of Tutorials, Papers, Datasets related to MMPose

  
  
  

• 💃Just-Dance: Enhancing Dance scoring system for comparing dance performances in videos. ^{TRY IT NOW}

  
  
  

• What's next? Join the rank of MMPose contributors by creating a new project!