Preprocess from frames using face detector

def process_frames_face(self, frames):
        """
        Preprocess from frames using face detector
        """
        detector = dlib.get_frontal_face_detector()
        predictor = dlib.shape_predictor(self.face_predictor_path)
        mouth_frames = self.get_frames_mouth(detector, predictor, frames)
        self.face = np.array(frames)
        self.mouth = np.array(mouth_frames)
        if mouth_frames[0] is not None:
            self.set_data(mouth_frames)