np使用创建图像 霍夫圆检测 video操作，显示canny边缘

np使用创建图像
def creat_image():
    image = np.zeros([400, 400, 3], np.uint8)   //三通道
    image[:, :, 2] = np.ones([400, 400])*255    
    cv.imshow('creat image', image )

霍夫圆检测
def detect_circle_Demo(image):
    dst = cv.pyrMeanShiftFiltering(image, 10, 100)
    cv.imshow('sdasda',dst)
    cimage = cv.cvtColor(dst, cv.COLOR_BGR2GRAY)
    circles = cv.HoughCircles(cimage, cv.HOUGH_GRADIENT, 1, 200, param1=50, param2=30, minRadius=0, maxRadius=0)
    circles = np.uint16(np.around(circles))
    for i in circles[0, :]:
        cv.circle(image, (i[0], i[1]), i[2], (0, 0, 255), 2)
        cv.circle(image, (i[0], i[1]), 2, (0, 0, 255), 2)
    cv.imshow('circles', image)
　　

video操作，显示canny边缘
def video_Demo():
    capture = cv.VideoCapture(0)
    while True:
        ret, frame = capture.read()
        frame = cv.flip(frame, 1)
        frame_gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
        canny = cv.Canny(frame_gray, 50, 150)
        cv.imshow('video', canny)
        c = cv.waitKey(50)
        if c == 27:
            break