Facial Landmark Detection | OpenCV | Python | Mediapipe
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.
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📕 Mediapipe Documentation: https://google.github.io/mediapipe/so...
📕 Complete Code: https://github.com/Coding-Lane/Facial...
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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
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