Face-Tracker/realtimeFT.py at main · SSHpectator/Face-Tracker · GitHub

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import cv2

face_classifier = cv2.CascadeClassifier(
    cv2.data.haarcascades + 'haarcascade_frontalface_default.xml'
)

'''
    Access the device's camera
'''
video_capt = cv2.VideoCapture(0)

def detect_face(video):
    gray_img = cv2.cvtColor(video, cv2.COLOR_BGR2GRAY)
    faces = face_classifier.detectMultiScale(
        gray_img, 1.1, 20, minSize=(40,40)
    )

    for (x, y, w, h) in faces:
        cv2.rectangle(video,(x,y), (x + w, y + h), (0, 255, 0), 4)

    return faces

while True:

    result, video_frame = video_capt.read() # Read frames from video
    if result is False:
        break

    faces = detect_face(video_frame)

    cv2.imshow("Face Tracker", video_frame)

    if cv2.waitKey(1) & 0x77 == ord('q'):
        break

video_capt.release()
cv2.destroyAllWindows()