如何在Python中處理大尺寸圖片以查找白色區(qū)域中的圓形區(qū)域？

import cv2 import numpy as np  image_path = r"C:Users17607Desktopsmls picturesPic_20231122151507973.bmp"  # 請(qǐng)?zhí)鎿Q為你的圖片路徑  def detect_circles(image_path):     # 讀取圖像     img = cv2.imread(image_path)     # 縮放圖像 (調(diào)整縮放比例根據(jù)實(shí)際情況修改)     img = cv2.resize(img, (img.shape[1] // 10, img.shape[0] // 10))     # 轉(zhuǎn)換為灰度圖像     gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)     # 二值化處理 (調(diào)整閾值根據(jù)實(shí)際情況修改)     _, thresh = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)     # 霍夫圓變換 (調(diào)整參數(shù)根據(jù)實(shí)際情況修改)     circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, 40, param1=50, param2=30, minRadius=0, maxRadius=0)      if circles is not None:         circles = np.round(circles[0, :]).astype("int")         for (x, y, r) in circles:             # 篩選位于白色區(qū)域的圓形 (調(diào)整閾值根據(jù)實(shí)際情況修改)             if np.mean(thresh[y - r:y + r, x - r:x + r]) > 200:                 cv2.circle(img, (x, y), r, (0, 255, 0), 2)  # 畫出圓圈                 cv2.circle(img, (x, y), 2, (0, 0, 255), 3)  # 畫出圓心     return img  result_image = detect_circles(image_path) cv2.imshow("Detected Circles", result_image) cv2.waitKey(0) cv2.destroyAllwindows()