dip.py 文件源码

def get_landmarks(self, img):
        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        rects = self.detector(img,  0)

        if len(rects) > 1:
            print 'TooManyFaces'
        if len(rects) == 0:
            raise ValueError('Error: NoFaces!!')

        landmarks = np.matrix([[p.x,  p.y]
                              for p in self.predictor(img, rects[0]).parts()])

        for group in self.MOUTH_POINTS:
            hull = cv2.convexHull(landmarks[group])
        return hull