def get_facial_landmarks_from_mask(img, pts): rect = cv2.boundingRect(pts) rect = dlib.rectangle(rect[0], rect[1], rect[0] + rect[2], rect[1] + rect[3]) return np.matrix([list(pt) for pt in pts]), rect