自学教程：OpenCV半小时掌握基本操作之色彩空间

import numpy as npimport cv2def color_space(image):    """色彩空间转换"""    hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)    hls = cv2.cvtColor(image, cv2.COLOR_BGR2HLS)    ycrcb = cv2.cvtColor(image, cv2.COLOR_BGR2YCrCb)    yuv = cv2.cvtColor(image, cv2.COLOR_BGR2YUV)    h1 = np.hstack((hsv, hls))    h2 = np.hstack((ycrcb, yuv))    stack = np.vstack((h1, h2))    return stack# 读取图片img = cv2.imread("beautiful_girl.jpg")# 不同色彩空间stack = color_space(img)# 图片展示cv2.imshow("stack", stack)cv2.waitKey(0)cv2.destroyAllWindows()

import numpy as npimport cv2def video_capture():    """读取视频"""        # 从摄像头获取视频    capture = cv2.VideoCapture(0)        # 循环    while (True):        # 读取一帧        ret, frame = capture.read()        # 如果读取帧, 返回值为False, break        if ret == False:            break        # 设置颜色阈值        lower = np.array([0, 0, 0])        upper = np.array([100, 100, 255])        mask = cv2.inRange(frame, lowerb=lower, upperb=upper)                # 展示        cv2.imshow("video", frame)        cv2.imshow("mask", mask)        # 按下q键退出        if cv2.waitKey(20) & 0xFF == ord("q"):            breakif __name__ == "__main__":    video_capture()