Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) applications. Like putting a mask, specs, or a filter on your face.

Mediapipe has a bunch of solutions that help us detect facial landmarks, iris, hands, pose, and full body movement. Mediapipe offers pre-trained models for free which we can directly use for any application.

I hope you stick till the end of the video to learn how to implement Facial Landmark Detecting using OpenCV Python.



Mediapipe Documentation: https://google.github.io/mediapipe/solutions/face_mesh.html

Complete Code: https://github.com/Coding-Lane/Facial-Landmark-Detection---Mediapipe



Timestamps:
0:00 Demo
0:19 Intro
2:04 Installation
2:38 Capture Video using opencv
7:35 Mediapipe Facial Landmark Detection
14:49 Custom Styles
15:55 Demo and end



RNN Playlist: https://www.youtube.com/watch?v=lWPkNkShNbo&list=PLuhqtP7jdD8ARBnzj8SZwNFhwWT89fAFr&t=0s

CNN Playlist: https://www.youtube.com/watch?v=E5Z7FQp7AQQ&list=PLuhqtP7jdD8CD6rOWy20INGM44kULvrHu&t=0s

Complete Neural Network: https://www.youtube.com/watch?v=mlk0rddP3L4&list=PLuhqtP7jdD8CftMk831qdE8BlIteSaNzD&t=0s

Complete Logistic Regression Playlist: https://www.youtube.com/watch?v=U1omz0B9FTw&list=PLuhqtP7jdD8Chy7QIo5U0zzKP8-emLdny&t=0s

Complete Linear Regression Playlist: https://www.youtube.com/watch?v=nwD5U2WxTdk&list=PLuhqtP7jdD8AFocJuxC6_Zz0HepAWL9cF&t=0s



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