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- from PIL import ImageGrab
- import numpy as np
- import cv2
- import pyautogui
- cat_haar = cv2.CascadeClassifier(r"D:\opencv\build\x64\vc14\bin\data\cascade.xml")
- img = ImageGrab.grab(bbox=(1200,100,1600,700)) #bbox specifies specific region (bbox= x,y,width,height *starts top-left)
- img_np = np.array(img) #this is the array obtained from conversion
- gray = cv2.cvtColor(img_np, cv2.COLOR_BGR2GRAY)
- cat = cat_haar.detectMultiScale(gray, 1.06, 1,minSize=(50, 50))
- # 繪製貓的方框
- for (x, y, w, h) in cat:
- cv2.rectangle(img_np, (x, y), (x + w, y + h), (0, 255, 0), 2)
-
- # pyautogui.click(10,5)
- # pyautogui.click(1200+x+w/2, 100+y + h/2,button='left') # 在(1200+x+w/2, 100+y + h/2)單擊滑鼠,預設左鍵
- pyautogui.click(1200+x+w/2, 100+y + h/2,button='right')
- # 顯示成果
- # cv2.namedWindow('img', cv2.WINDOW_NORMAL) #正常視窗大小
- # cv2.imshow('img', img_np) #秀出圖片
- # frame = cv2.cvtColor(img_np, cv2.COLOR_BGR2GRAY) #擷取寬度 1200-1600 高度 100-700的灰階圖片
- # cv2.imshow("test", frame) #秀出擷取圖片並顯示框架標題
- cv2.waitKey(0)
- cv2.destroyAllWindows()
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