Drowsiness-detection

Detect sleepy person using OpenCV

OpenCV: Open Source Computer Vision Library

Resources

• Homepage: https://opencv.org
  • Courses: https://opencv.org/courses
• Docs: https://docs.opencv.org/4.x/
• Q&A forum: https://forum.opencv.org
  • previous forum (read only): http://answers.opencv.org
• Issue tracking: https://github.com/opencv/opencv/issues
• Additional OpenCV functionality: https://github.com/opencv/opencv_contrib

Contributing

Please read the contribution guidelines before starting work on a pull request.

Summary of the guidelines:

• One pull request per issue;
• Choose the right base branch;
• Include tests and documentation;
• Clean up "oops" commits before submitting;
• Follow the coding style guide.

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Face Mesh Detection

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from cvzone.FaceMeshModule import FaceMeshDetector
import cv2

cap = cv2.VideoCapture(0)
detector = FaceMeshDetector(maxFaces=2)
while True:
    success, img = cap.read()
    img, faces = detector.findFaceMesh(img)
    if faces:
        print(faces[0])
    cv2.imshow("Image", img)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cap.release()
cv2.destroyAllWindows()