def inRange(src, lowerb, upperb, dst=None)　　#lowerb是上面每个颜色分段的最小值，upperb是上面每个颜色分段的最大值，都是列表类型

import cv2 as cv

import numpy as np

def extrace_object():

    capture = cv.VideoCapture("./1.mp4")

    while True:

        ret,frame = capture.read()  #frame是每一帧图像，ret是返回值，为0是表示图像读取完毕

        if ret == False:

            break

        hsv = cv.cvtColor(frame,cv.COLOR_BGR2HSV)

        lower_hsv = np.array([0,43,46])

        upper_hsv = np.array([10,255,255])

        mask = cv.inRange(hsv,lower_hsv,upper_hsv)

        cv.imshow("video",frame)

        cv.imshow("mask", mask)

        c = cv.waitKey()

        if c == :

            break

extrace_object(src) 

src = cv.imread("./6.jpg")  #读取图片
cv.namedWindow("RGB",cv.WINDOW_AUTOSIZE)    #创建GUI窗口,形式为自适应
cv.imshow("RGB",src)    #通过名字将图像和窗口联系

b,g,r = cv.split(src)   #通道分离为r,g,b三个
cv.imshow("B",b)
cv.imshow("G",g)
cv.imshow("R",r)

src[:,:,0]=0    #b变为0黑
cv.imshow("change image0",src)
src[:,:,1]=0    #g变为黑
cv.imshow("change image1",src)
src[:,:,2]=0    #r变为黑
cv.imshow("change image2",src)

src2 = cv.merge([b,g,r])

cv.imshow("meger image",src2)