😃 Face Landmark Detection using MediaPipe Tasks (Python + OpenCV)

This project demonstrates real-time Face Landmark Detection using the MediaPipe Tasks API and OpenCV in Python.
It detects 468 facial landmark points from video frames using the face_landmarker.task model in VIDEO mode.

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🚀 Features

• ✅ Real-time face landmark detection
• ✅ 468 facial landmark points
• ✅ Video file & webcam support
• ✅ MediaPipe Tasks API (latest approach)
• ✅ Timestamp handling for VIDEO mode
• ✅ OpenCV visualization

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🛠️ Technologies Used

• Python
• OpenCV
• MediaPipe Tasks API
• NumPy

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• main1.py has low range effective accuracy for face mapping but feels faster due to higher frame rate
• main2.py has high range effective accuracy for face mapping but feels a bit slower due to low frame rate