import cv2
import numpy as np
import pyautogui# 获取屏幕截图
screenshot = pyautogui.screenshot()
screenshot = np.array(screenshot)
screenshot = cv2.cvtColor(screenshot, cv2.COLOR_RGB2BGR)# 转换为灰度图像
gray = cv2.cvtColor(screenshot, cv2.COLOR_BGR2GRAY)# 计算灰度图像的平均值
average_color = np.mean(gray)# 设置白屏的阈值
threshold = 200  # 这里可以根据实际情况调整# 判断屏幕是否为白屏
if average_color > threshold:print("屏幕为白屏")
else:print("屏幕不是白屏")

import cv2# 加载两张图片
image1 = cv2.imread('image1.jpg')
image2 = cv2.imread('image2.jpg')# 将图片转换为灰度图像
gray_image1 = cv2.cvtColor(image1, cv2.COLOR_BGR2GRAY)
gray_image2 = cv2.cvtColor(image2, cv2.COLOR_BGR2GRAY)# 计算两张灰度图像的结构相似度指数（SSIM）
sift = cv2.SIFT_create()
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