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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/so... 📕 Complete Code: https://github.com/Coding-Lane/Facial... ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 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: • What is Recurrent Neural Network in D... ✔ CNN Playlist: • What is CNN in deep learning? Convolu... ✔ Complete Neural Network: • How Neural Networks work in Machine L... ✔ Complete Logistic Regression Playlist: • Logistic Regression Machine Learning ... ✔ Complete Linear Regression Playlist: • What is Linear Regression in Machine ... ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ If you want to ride on the Lane of Machine Learning, then Subscribe ▶ to my channel here: / @machinelearningwithjay