图形识别并对比元素变化的能力还挺强的 opencv-python库-学到什么贡献什么！！

import cv2
import numpy as np

def compare_images(img1_path, img2_path):
    # 读取两张图片（灰度图）
    img1 = cv2.imread(img1_path, cv2.IMREAD_GRAYSCALE)
    img2 = cv2.imread(img2_path, cv2.IMREAD_GRAYSCALE)

    # 确保两张图片尺寸一致
    if img1.shape != img2.shape:
        raise ValueError("两张图片尺寸不一致，无法比较")

    # 计算图像差值
    diff = cv2.absdiff(img1, img2)

    # 设定阈值，提取差异区域
    _, thresh = cv2.threshold(diff, 30, 255, cv2.THRESH_BINARY)

    # 寻找轮廓
    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    # 在原图上绘制差异区域
    img1_color = cv2.cvtColor(img1, cv2.COLOR_GRAY2BGR)
    for contour in contours:
        (x, y, w, h) = cv2.boundingRect(contour)
        cv2.rectangle(img1_color, (x, y), (x + w, y + h), (0, 0, 255), 2)

    # 显示结果
    combined = np.hstack((img1, diff, thresh))
    combined_color = np.hstack((img1_color, cv2.cvtColor(thresh, cv2.COLOR_GRAY2BGR)))

    cv2.imshow('Difference Detection', combined_color)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    # 保存结果（可选）
    cv2.imwrite('difference_result.png', combined_color)

# 使用示例
compare_images('3m.png', '4m.png')