Facial Landmark Detection with MediaPipe

Features

• Real-time facial landmark detection (468 points)
• Webcam integration in Google Colab
• Visualizes face mesh tessellation and contours
• Customizable drawing styles

Requirements

• Google Colab (recommended) or Jupyter Notebook
• Modern web browser (Chrome recommended)
• Webcam access

Usage

1. Run the first cell to initialize the face detection model
2. Allow camera access when prompted by your browser
3. Click the "Capture" button to take a photo
4. The program will:
   • Detect facial landmarks
   • Draw the face mesh on your image
   • Display the processed image

Customization

mp_drawing.DrawingSpec(color=(0,255,0), thickness=1) # Green contours

Adjust detection parameters

mp_face_mesh.FaceMesh( max_num_faces=1, # Maximum faces to detect refine_landmarks=True, # Get more precise landmarks min_detection_confidence=0.5, # Detection confidence threshold min_tracking_confidence=0.5 # Tracking confidence threshold )