import cv2
import numpy as np
import pyautogui# 獲取屏幕截圖
screenshot = pyautogui.screenshot()
screenshot = np.array(screenshot)
screenshot = cv2.cvtColor(screenshot, cv2.COLOR_RGB2BGR)# 轉換為灰度圖像
gray = cv2.cvtColor(screenshot, cv2.COLOR_BGR2GRAY)# 計算灰度圖像的平均值
average_color = np.mean(gray)# 設置白屏的閾值
threshold = 200  # 這里可以根據實際情況調整# 判斷屏幕是否為白屏
if average_color > threshold:print("屏幕為白屏")
else:print("屏幕不是白屏")

import cv2# 加載兩張圖片
image1 = cv2.imread('image1.jpg')
image2 = cv2.imread('image2.jpg')# 將圖片轉換為灰度圖像
gray_image1 = cv2.cvtColor(image1, cv2.COLOR_BGR2GRAY)
gray_image2 = cv2.cvtColor(image2, cv2.COLOR_BGR2GRAY)# 計算兩張灰度圖像的結構相似度指數（SSIM）
sift = cv2.SIFT_create()
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