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））