https://github.com/qxresearch/face-mesh-detection

Face Mesh Detection of Static Image & Live Video Using Python
https://github.com/qxresearch/face-mesh-detection

computer-vision face-landmark-detection mediapipe mediapipe-facemesh opencv opencv-python python

Last synced: about 3 hours ago
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Face Mesh Detection of Static Image & Live Video Using Python

• Host: GitHub
• URL: https://github.com/qxresearch/face-mesh-detection
• Owner: qxresearch
• Created: 2021-07-06T05:19:29.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-12-04T06:27:28.000Z (almost 3 years ago)
• Last Synced: 2024-02-29T18:34:42.678Z (9 months ago)
• Topics: computer-vision, face-landmark-detection, mediapipe, mediapipe-facemesh, opencv, opencv-python, python
• Language: Python
• Homepage: https://qxresearch.github.io/research
• Size: 2.94 MB
• Stars: 6
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        


  

    

  

  
Face Mesh Detection

  
 

  Face Mesh Detection with MediaPipe (468 Face Landmarks)

  


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    [![Open All Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1o-Q_jhZI25Gl2lCTTHKsQWktLZgaNF_Z?usp=sharing)

MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor. Utilizing lightweight model architectures together with GPU acceleration throughout the pipeline, the solution delivers real-time performance critical for live experiences.



  Results : Static Image





  

    

  





  Results : Web Camera





  

    

  



Using mediapipe we will estimate 468 face landmarks in live video, which could be really helpful in AR effects utilizing facial surface geometry and face recognition. In the demo website you'll be able to see your unique facial landmarks. In this project we've also used partial static image to discovere as much landmarks as possible.

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### Citation (MediaPipe)

```

@article{lugaresi2019mediapipe,

  title={Mediapipe: A framework for building perception pipelines},

  author={Lugaresi, Camillo and Tang, Jiuqiang and Nash, Hadon and McClanahan, Chris and Uboweja, Esha and Hays, Michael and Zhang, Fan and Chang, Chuo-Ling and Yong, Ming Guang and Lee, Juhyun and others},

  journal={arXiv preprint arXiv:1906.08172},

  year={2019}

}

```

---

YouTube : [@qxresearch/mediapipe-face-mesh]()




Live Demo : [Your-face-mesh]()

Tags : `mediapipe` `face-mesh` `openCV` `python` `facial-landmark-detection`

Google Colab : [![Open All Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1o-Q_jhZI25Gl2lCTTHKsQWktLZgaNF_Z?usp=sharing)