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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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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[shanlk]

can we do same thing to image not to like real time?

[GuvenSenturk]

How caan we do this for multiple faces

[bilalyarankakar]

I really enjoy your videos. You explain everything very well! Can you please make videos about transformers and encoder decoders ? With the implementation? Thank you

[revanthrajam]

please make the video on Decision Tree Algoritham

[dheerajreddygadi]

brother please create project related to video data not images
like human activity recognition in real time

[PumaTomb]

The imshow() issue with Jupyter and CV2 notebooks ruins this great tutorial. Running this code crashes my machine.