如何使用Python和OpenCV从9000x7000像素的图片中提取两个圆形区域？

import cv2
import numpy as np

image_path = r"c:\users\17607\desktop\smls pictures\pic_20231122151507973.bmp"

# 读取图像
img = cv2.imread(image_path)

# 缩放图像 (调整缩放比例根据实际情况)
scale_percent = 10  # 缩放至原图的1/10
width = int(img.shape[1] / scale_percent)
height = int(img.shape[0] / scale_percent)
dim = (width, height)
resized_img = cv2.resize(img, dim, interpolation=cv2.INTER_AREA)

# 灰度转换
gray = cv2.cvtColor(resized_img, cv2.COLOR_BGR2GRAY)

# 高斯模糊
blurred = cv2.GaussianBlur(gray, (5, 5), 0)

# Canny边缘检测
edges = cv2.Canny(blurred, 50, 150)

# 霍夫圆变换
circles = cv2.HoughCircles(edges, cv2.HOUGH_GRADIENT, 1, 40, param1=50, param2=30, minRadius=0, maxRadius=0)

if circles is not None:
    circles = np.uint16(np.around(circles))
    # 选择两个最大的圆
    circles = circles[0, :]
    circles = circles[np.argsort(circles[:, 2])[::-1][:2]]  # 选择半径最大的两个圆

    for i in circles:
        center_x, center_y, radius = i
        # 在缩放后的图像上绘制圆形
        cv2.circle(resized_img, (center_x, center_y), radius, (0, 0, 255), 2)
        cv2.circle(resized_img, (center_x, center_y), 2, (255, 0, 0), 3)

    cv2.imshow("Detected Circles", resized_img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()