main.py 文件源码

def get_facial_landmarks(img):
    # No need to upsample
    rects = face_detector(img, 0)

    if len(rects) == 0:
        print "No faces"
        return None

    rect = rects[0]
    shape = shape_predictor(img, rect)
    return np.matrix([[pt.x, pt.y] for pt in shape.parts()]), rect