import cv2
from PIL import ImageGrab
import numpy as np
import pyautogui
if __name__ == '__main__':
im = ImageGrab.grab()
im.save('./res/screen.png', 'png')
img_rgb = cv2.imread('./res/screen.png')
# 所有操作在灰度版中进行
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread('./check/icon.png', 0)
res = cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED)
threshold = 0.9
loc = np.where(res >= threshold)
for pt in zip(*loc[::-1]):
print(pt[0], pt[1])
# pyautogui.moveTo(pt[0] + template.shape[0] / 2, pt[1] + template.shape[1] / 2)
pyautogui.doubleClick(pt[0] + template.shape[0] / 2, pt[1] + template.shape[1] / 2)
print('over')