不断收到错误 w, h = small_image.shape[:-1] AttributeError: 'NoneType' 对象没有属性 'shape'

如何解决不断收到错误 w, h = small_image.shape[:-1] AttributeError: 'NoneType' 对象没有属性 'shape'

我的知识很少，正在尝试学习 Python，并且一直做得很好。

直到！

当试图匹配图像时，我得到 w,h = small_image.shape[:2]

AttributeError: 'nonetype' 对象没有属性 'shape'

我的图片在正确的路径中，但一直收到上面的错误，已经调试了很多次并在互联网上搜索了答案。

我找到的唯一答案是检查我拥有的路径，它们似乎是正确的。

请原谅我所知甚少。我只是想学习任何指针，将不胜感激。

def __init__(self,handle=None):
        self._handle = handle
        self._item_memory = {}
        self._item_area = (525,227,80,275)

def match_image(self,largeImg,smallImg,threshold=0.1,debug=False):
      
        method = cv2.TM_SQDIFF_norMED

        # Read the images from the file
        small_image = cv2.imread(smallImg)
        large_image = cv2.imread(largeImg)
        w,h = small_image.shape[:2]

        result = cv2.matchTemplate(small_image,large_image,method)

        # We want the minimum squared difference
        mn,_,mnLoc,_ = cv2.minMaxLoc(result)

        if (mn >= threshold):
            return False

        # Extract the coordinates of our best match
        x,y = mnLoc

        if debug:
            # Draw the rectangle:
            # Get the size of the template. This is the same size as the match.
            trows,tcols = small_image.shape[:2]

            # Draw the rectangle on large_image
            cv2.rectangle(large_image,(x,y),(x+tcols,y+trows),(0,255),2)

            # display the original image with the rectangle around the match.
            cv2.imshow('output',large_image)

            # The image is only displayed if we call this
            cv2.waitKey(0)

        # Return coordinates to center of match
        return (x + (w * 0.5),y + (h * 0.5))`

    def find_item(self,item_name,threshold=0.15,max_tries=1,recapture=True):

        self.set_active()
        tries = 0
        res = False
        while not res and tries < max_tries:
            tries += 1

            if tries > 1:
                # Wait 1 second before re-trying
                self.wait(0.5)
                recapture = True

            if recapture:
                self.mouse_out_of_area(self._item_area)
                self.screenshot('item_area.png',region=self._item_area)

            res = self.match_image(
                'item_area.png',('items/' + item_name + '.png'),threshold)

        if res is not False:
            x,y = res
            offset_x,offset_y = self._item_area[:2]
            item_pos = (offset_x + x,offset_y + y)
            # Remember location
            self._item_memory[item_name] = item_pos
            return item_pos
        else:
            return False