Opencv 如何在视频中使用圆检测

我对python和OpenCV非常陌生。我想做的是用hough圆在视频中的某个部分上找到一个圆，并在该圆在摄像机视野中移动时跟踪该圆。我可以在静止图像上使用hough圆。到目前为止，这就是我所拥有的，但我认为这离工作还有一段距离

import cv2
import numpy as np

img = cv2.VideoCapture(0)

circles = cv2.HoughCircles(img,cv2.cv.CV_HOUGH_GRADIENT,1,20,
                        param1=200,param2=100,minRadius=0,maxRadius=0)

circles = np.uint16(np.around(circles))
    for i in circles[0,:]:
    # draw the outer circle
    cv2.circle(cimg,(i[0],i[1]),i[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(cimg,(i[0],i[1]),2,(0,0,255),3)

cv2.imshow('detected circles',img)

cv2.waitKey(0)
cv2.destroyAllWindows()

---

对于视频分析，您必须连续从网络摄像头（在本例中）读取图像。因此，您需要一个循环，如中的教程所示

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

while(1):

     #read frame from capture
     img = cap.read()

     ##############################
     # here do the whole stuff with circles and your actual image
     ##############################

     cv2.imshow('show image', img)

     #exit condition to leave the loop
     k = cv2.waitKey(30) & 0xff
     if k == 27:
          break

cv2.destroyAllWindows()
cap.release()