text: # -*- coding:utf-8 -*-
  #本程序用于将一张彩色图片分解成BGR的分量显示，灰度图显示，HSV分量显示
  import cv2  #导入opencv模块
  import numpy as np
  import os 
  
  
  def average_pixel(img_name):
      img = cv2.imread(img_name)  #导入图片，图片放在程序所在目录
      #使用cvtColor转换为HSV图
      out_img_HSV=cv2.cvtColor(img,cv2.COLOR_BGR2HSV)#将图片转换为灰度图
      hsvChannels=cv2.split(out_img_HSV)  #将HSV格式的图片分解为3个通道
  
      img_v = hsvChannels[2]
  
      height,width = img_v.shape
  
      square = 50
      padding = 50
  
      left_up = img_v[padding:padding+square,padding:padding+square]
      right_up = img_v[padding:padding+square,width-padding-square:width-padding]
      left_down = img_v[height-padding-square:height-padding,padding:padding+square]
      right_down = img_v[height-padding-square:height-padding,width-padding-square:width-padding]
  
      num = 0
      average = 0
  
      name = [left_up,right_up,left_down,right_down]
      for k in range(4):     
          pixel = name[k]
          for i in range(square):
              for j in range(square):
                  num = num + pixel[i,j]
  
      average = num/(4*square*square)
  
      if average >= 125:
          return 1
      else:
          return 0
  
  path = "img/GOOD_CASE"
  pic_name = os.listdir(path)
  # #print(pic_name)
  flag = 0
  flag_num = 0 
  
  for i in range(len(pic_name)):
      img_name = path + "/" + pic_name[i]
      flag = average_pixel(img_name)
      if flag == 1:
          flag_num = flag_num + 1
  
  print(flag_num)
  
  # GOOD_CASE threshold=125   50:13
  # jump threshold=125    8:61
  