《计算机视觉》—— 表情识别

• 根据计算眼睛、嘴巴的变化，判断是什么表情
• 结合以下两篇文章来理解表情识别的实现方法
  • 基于 dilib 库的人脸检测
    • https://blog.youkuaiyun.com/weixin_73504499/article/details/142977202?spm=1001.2014.3001.5501
  • 基于 dlib 库的人脸关键点定位
    • https://blog.youkuaiyun.com/weixin_73504499/article/details/142990867?spm=1001.2014.3001.5501
• 完整代码如下：

  import numpy as np
  import dlib
  import cv2
  from sklearn.metrics.pairwise import euclidean_distances
  from PIL import Image, ImageDraw, ImageFont
  
  # 计算眼睛的宽高比
  def eye_aspect_ratio(eye):
      A = euclidean_distances(eye[1].reshape(1, 2), eye[5].reshape(1, 2))
      B = euclidean_distances(eye[2].reshape(1, 2), eye[4].reshape(1, 2))
      C = euclidean_distances(eye[0].reshape(1, 2), eye[3].reshape(1, 2))
      ear = ((A + B) / 2.0) / C
      return ear
  
  
  # 计算嘴的宽高比
  def MAR(shape)