如何在opencv python中自动设置HoughCircles参数来检测不同大小的圆？

import cv2
import numpy as np

image = cv2.imread('image.jpg', 0)
blur = cv2.GaussianBlur(image, (5, 5), 0)

dp = 1  # 累加器分辨率与图像分辨率的反比
minDist = 20  # 圆心之间的最小距离
param1 = 50  # Canny边缘检测的高阈值
param2 = 30  # 累加器阈值，低于该值的圆将被忽略
minRadius = 10  # 圆的最小半径
maxRadius = 100  # 圆的最大半径

circles = cv2.HoughCircles(blur, cv2.HOUGH_GRADIENT, dp, minDist, param1=param1, param2=param2, minRadius=minRadius, maxRadius=maxRadius)

if circles is not None:
    circles = np.uint16(np.around(circles))
    for circle in circles[0, :]:
        center = (circle[0], circle[1])
        radius = circle[2]
        cv2.circle(image, center, radius, (0, 255, 0), 2)

cv2.imshow('Detected Circles', image)
cv2.waitKey(0)
cv2.destroyAllWindows()