text: import cv2
  import numpy as np
  # 滑动条的回调函数，获取滑动条位置处的值
  def empty(a):
      h_min = cv2.getTrackbarPos("Hue Min","TrackBars")
      h_max = cv2.getTrackbarPos("Hue Max", "TrackBars")
      s_min = cv2.getTrackbarPos("Sat Min", "TrackBars")
      s_max = cv2.getTrackbarPos("Sat Max", "TrackBars")
      v_min = cv2.getTrackbarPos("Val Min", "TrackBars")
      v_max = cv2.getTrackbarPos("Val Max", "TrackBars")
      print(h_min, h_max, s_min, s_max, v_min, v_max)
      return h_min, h_max, s_min, s_max, v_min, v_max
  
  path = 'img/jump001.png'
  # 创建一个窗口，放置6个滑动条
  cv2.namedWindow("TrackBars")
  cv2.resizeWindow("TrackBars",640,240)
  cv2.createTrackbar("Hue Min","TrackBars",0,179,empty)
  cv2.createTrackbar("Hue Max","TrackBars",19,179,empty)
  cv2.createTrackbar("Sat Min","TrackBars",110,255,empty)
  cv2.createTrackbar("Sat Max","TrackBars",240,255,empty)
  cv2.createTrackbar("Val Min","TrackBars",153,255,empty)
  cv2.createTrackbar("Val Max","TrackBars",255,255,empty)
  
  
  while True:
      img = cv2.imread(path)
      imgHSV = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
      # 调用回调函数，获取滑动条的值
      h_min,h_max,s_min,s_max,v_min,v_max = empty(0)
      lower = np.array([h_min,s_min,v_min])
      upper = np.array([h_max,s_max,v_max])
      # 获得指定颜色范围内的掩码
      mask = cv2.inRange(imgHSV,lower,upper)
      # 对原图图像进行按位与的操作，掩码区域保留
      imgResult = cv2.bitwise_and(img,img,mask=mask)
     
      cv2.imshow("Mask", mask)
      cv2.imshow("Result", imgResult)
      
      cv2.waitKey(1)
  