使用 PyAutoGui locateCenter 函数尝试/排除循环

编程问答 2022-06-01

问题描述

由于双增量，这段代码应该通过 for 循环的 6 次迭代/技术上的 3 次迭代来执行。相反，我收到了一个错误。

如果需要其余代码，请评论。

对我的代码的任何批评也表示赞赏，任何建议都会有所帮助。

我的代码：

import pyautogui
import time
import random
import keyboard
import sys



def findClickShaftFunction():
    count = 1
    v = 1.0

movementTime = random.uniform(0.24,1.88)
timetoSleep = random.uniform(25.32,62.5)    

for count in range (0,5):
    try:
        print("Try:",count," Sample:"," Image:",count)
        pictureOfShaftsX,pictureOfShaftsY = pyautogui.locateCenterOnScreen('C:/Users/pyautogui_ImageRecognition/shafts{}.png'.format(count),confidence=v)            
    except TypeError:
        continue
        print("Try:",count+1,count+1)
        pictureOfShaftsX,pictureOfShaftsY = pyautogui.locateCenterOnScreen('C:/Users/pyautogui_ImageRecognition/shafts{}.png'.format(count+1),confidence=v - 0.10)                      
    #else:
        #count = count + 1  
        #print("Unable to trace " + count)


time.sleep(timetoSleep)

pictureOfShaftsX = pictureOfShaftsX - (random.randint(2,11))
pictureOfShaftsY = pictureOfShaftsY - (random.randint(2,11))
pyautogui.moveto(pictureOfShaftsX,pictureOfShaftsY,movementTime)
pyautogui.click()

完整的错误追溯：

       Would you like to begin? Enter y to continue. y
       Try: 0  Sample: 0  Image: 0
       Try: 1  Sample: 1  Image: 1
       Traceback (most recent call last):
       File "C:\Users\pyautogui_Shaft_Trial\pyautogui_Shaft_Trial\pyautogui_Shaft_Trial.py",line 17,in findClickShaftFunction
    pictureOfShaftsX,confidence=v)
       TypeError: cannot unpack non-iterable nonetype object

       During handling of the above exception,another exception occurred:

       Traceback (most recent call last):
          File "C:\Users\pyautogui_Shaft_Trial\pyautogui_Shaft_Trial\pyautogui_Shaft_Trial.py",line 78,in <module>
    main()
          File "C:\Users\pyautogui_Shaft_Trial\pyautogui_Shaft_Trial\pyautogui_Shaft_Trial.py",line 56,in main
    findClickShaftFunction()
          File "C:\Users\pyautogui_Shaft_Trial\pyautogui_Shaft_Trial\pyautogui_Shaft_Trial.py",line 20,confidence=v - 0.10)
         TypeError: cannot unpack non-iterable nonetype object
         Press any key to continue . . .

更改后

except TypeError:
        print("Try:",confidence=v - 0.10)

到

 except TypeError:
         continue

它在实际定位图像之前遍历整个循环。

Would you like to begin? Enter y to continue. y
Try: 0  Sample: 0  Image: 0
Try: 1  Sample: 1  Image: 1
Try: 2  Sample: 2  Image: 2
Try: 3  Sample: 3  Image: 3
Try: 4  Sample: 4  Image: 4
Try: 5  Sample: 5  Image: 5
Try: 0  Sample: 0  Image: 0
Try: 1  Sample: 1  Image: 1
Try: 2  Sample: 2  Image: 2
Try: 3  Sample: 3  Image: 3
Try: 4  Sample: 4  Image: 4
Try: 5  Sample: 5  Image: 5
Try: 0  Sample: 0  Image: 0
Try: 1  Sample: 1  Image: 1
Try: 2  Sample: 2  Image: 2
Try: 3  Sample: 3  Image: 3
Try: 4  Sample: 4  Image: 4
Try: 5  Sample: 5  Image: 5
Try: 0  Sample: 0  Image: 0
Try: 1  Sample: 1  Image: 1
Try: 2  Sample: 2  Image: 2
Try: 3  Sample: 3  Image: 3
Try: 4  Sample: 4  Image: 4
Try: 5  Sample: 5  Image: 5
Try: 0  Sample: 0  Image: 0
Try: 1  Sample: 1  Image: 1
Try: 2  Sample: 2  Image: 2
Try: 3  Sample: 3  Image: 3
Try: 4  Sample: 4  Image: 4
Try: 5  Sample: 5  Image: 5
Try: 0  Sample: 0  Image: 0
Try: 1  Sample: 1  Image: 1
Try: 2  Sample: 2  Image: 2
Try: 3  Sample: 3  Image: 3
Try: 4  Sample: 4  Image: 4
Try: 5  Sample: 5  Image: 5

我打算让循环执行的示例（没有打印语句）

    try:
        pictureOfShaftsX,pictureOfShaftsY = pyautogui.locateCenterOnScreen('C:/Users/pyautogui_ImageRecognition/shafts0.png',confidence=0.7)      
    except TypeError:
        pictureOfShaftsX,pictureOfShaftsY = pyautogui.locateCenterOnScreen('C:/Users/pyautogui_ImageRecognition/shafts1.png',confidence=0.6)
        try:
            pictureOfShaftsX,pictureOfShaftsY = pyautogui.locateCenterOnScreen('C:/Users/pyautogui_ImageRecognition/shafts2.png',confidence=0.55)      
        except TyperError:
            pictureOfShaftsX,pictureOfShaftsY = pyautogui.locateCenterOnScreen('C:/Users/pyautogui_ImageRecognition/shafts3.png',confidence=0.50)

解决方法

据我所知，pyautogui.locateCenterOnScreen 正在返回 None，这就是您得到 TypeError 的原因。与其在 except 块中调用相同的方法，您可能只想continue 到循环的下一次迭代，如下所示：

for count in range(6):
    try:
        print("Try:",count," Sample:"," Image:",count)
        pictureOfShaftsX,pictureOfShaftsY = pyautogui.locateCenterOnScreen('C:/Users/PyAutoGui_ImageRecognition/shafts{}.png'.format(count),confidence=v)
    except TypeError:
        continue

另外，请注意 range(1,6) 从 1-5 包含在内 - 您可能希望 range(6) 为 0-5 包含（总共 6 次迭代）。

,

我认为这是对我的问题的合理回答。它似乎按预期迭代 - 检查每个图像。现在，我开始意识到 TensorFlow 可能更适合我的应用程序。

如有任何进一步的建议，我们将不胜感激。

    count = 0;
    v = 0.55
    
    movementTime = random.uniform(0.24,1.88)
    timeToSleep = random.uniform(25.32,62.5)    
    success = False

    while not success:
        try:
            print("Try:",count)
            pictureOfShaftsX,confidence=v)
            success = True
        except TypeError:
            count = count + 1           
            pass
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