import cv2
import mediapipe as mp

mp_face_detection = mp.solutions.face_detection
mp_drawing = mp.solutions.drawing_utils

cap = cv2.VideoCapture(0)
ratio = cap.get(cv2.CAP_PROP_FRAME_WIDTH) / cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
WIDTH = 400
HEIGHT = int(WIDTH / ratio)

face_detection = mp_face_detection.FaceDetection(min_detection_confidence = 0.5)

while cap.isOpened():
    ret, frame = cap.read()

    if ret:
        frame = cv2.resize(frame, (WIDTH, HEIGHT))
        frame = cv2.rotate(frame, rotateCode = 1)
        frame = cv2.flip(frame, 1)
        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        frame.flags.writeable = False
        results = face_detection.process(frame)
        frame.flags.writeable = True
        frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)

        if results.detections:
            for detection in results.detections:
                mp_drawing.draw_detection(frame, detection)

        cv2.imshow("MediaPipe Face Detection", frame)

    if cv2.waitKey(1) == 27:
        break

cap.release()
cv2.destroyAllWindows()