detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor('res/model.dat')
# detector = dlib.cnn_face_detection_model_v1('mmod_human_face_detector.dat')

cap = cv.VideoCapture(0)

while True:
    _, frame = cap.read(0)
    gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
    dets = detector(gray, 0)
    print(dets)
    for det in dets:
        landmarks = shape_to_np(predictor(gray, det))

    cv.imshow('test', frame)

    if cv.waitKey(1) == ord('q'):
        break