https://github.com/zafarrehan/face_mesh_landmarks

This repository uses Mediapipe's face_mesh to detect 468 3D landmarks on human face in real-rime
https://github.com/zafarrehan/face_mesh_landmarks

mediapipe-facemesh opencv-python

Last synced: 3 months ago
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This repository uses Mediapipe's face_mesh to detect 468 3D landmarks on human face in real-rime

• Host: GitHub
• URL: https://github.com/zafarrehan/face_mesh_landmarks
• Owner: zafarRehan
• Created: 2022-03-12T08:49:53.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-03-13T18:18:20.000Z (over 3 years ago)
• Last Synced: 2025-01-24T22:08:58.545Z (5 months ago)
• Topics: mediapipe-facemesh, opencv-python
• Language: Python
• Homepage:
• Size: 883 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Face Mesh Landmarks

I am using the MediaPipe Face Mesh [ MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time ] library to get the face landmarks over the image and then looping over the points to draw them over the Video/Frame 



MediaPipe FaceMesh url : https://google.github.io/mediapipe/solutions/face_mesh.html

Required Libraries


    pip install mediapipe

    pip install opencv-python

    

    

Usage

Head to the code (face_landmarks_MP.py) and run it to experience it in real-time


The code is well-commented so all the inner details can be found in comments

Output Video

Source Video Url :

https://www.youtube.com/watch?v=8CCtqtva6ok








Video By:  Mrwhosetheboss