3、OpenCV Python 色彩空间

 __author__ = "WSX"
 import cv2 as cv
 import numpy as np

 def color_space( img ):
     gray_img = cv.cvtColor(img , cv.COLOR_BGR2GRAY)  #色彩空间转换
     hsv_img = cv.cvtColor(img , cv.COLOR_BGR2HSV)
     hls_img = cv.cvtColor(img, cv.COLOR_BGR2HLS)
     ycrcb_img = cv.cvtColor(img, cv.COLOR_BGR2YCrCb)
     return gray_img

 def image_show():
     img = cv.imread("1.JPG")
     End_image = color_space( img )
     cv.namedWindow("Show", cv.WINDOW_AUTOSIZE)
     cv.imshow("Show" , End_image)
     cv.waitKey(0)
     cv.destroyAllWindows()

 def video_exe():  #过滤视频中的颜色
     video = cv.VideoCapture("2.mp4")
     ret , frame = video.read()
     while True:
         if ret == False:
             break
         hsv = cv.cvtColor(frame , cv.COLOR_BGR2HSV)
         low = np.array([37 , 43 ,46])   #筛选HSV空间中的绿色
         upper = np.array([77, 255, 255])
         msk = cv.inRange(hsv , lowerb= low , upperb= upper)
         #dst = cv.bitwise_and(frame,frame ,mask = msk)
         cv.imshow("video" , frame)
         cv.imshow("new_video" , msk)
         #cv.imshow("dst_video", dst)
         c = cv.waitKey(30)
         if c == 27:
             break

     cv.destroyAllWindows()

 #image_show()
 video_exe()

 #opencv支持通道分离（b,g,r = cv.split）
 #opencv支持通道合并（img = cv.merge（b,g,r））