使用opencv模板匹配方式。
这种方式针对从原始图片中直接扣小图情况比较好。

import cv2 as cv2def find_positions(image_path, small_image_path):# 读取大图和小图large_image = cv2.imread(image_path)small_image = cv2.imread(small_image_path)# 小图规格small_image_h, small_image_w = small_image.shape[:2]# 对比大图与小图# 匹配模板res = cv2.matchTemplate(large_image, small_image, cv2.TM_CCOEFF_NORMED)min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)# 计算矩形左边top_left = max_loc# 适用于小图长度>高度情况# bottom_right = (max_loc[0] + small_image_h, max_loc[1] + small_image_w)# 适用于小图长度<高度情况bottom_right = (max_loc[0] + small_image_w, max_loc[1] + small_image_h)# 画矩形cv2.rectangle(large_image, top_left, bottom_right, (0, 0, 255), 3)# 展示结果cv2.imshow('large_image', large_image)cv2.waitKey(0)passimage_path = "D:/Desktop/big.png"
small_image_path = "D:/Desktop/small.png"
find_positions(image_path, small_image_path)

大图：

小图：

最后结果：