如何修复TypeError：应为str、bytes或os.PathLike对象，而不是python中的PngImageFile

Question

请查找下面的代码

def获取文档边界（图像、功能）： #[START vision\u document\u text\u tutorial\u detect\u bounds] “”“返回给定图像的文档边界。”“” os.environ['GOOGLE\u APPLICATION\u CREDENTIALS']=r'C:\DSpython\bounds.json' client=vision.ImageAnnotatorClient（）

bounds = []

with io.open(image, 'rb') as image_file:
    content = image_file.read()

image= types.Image(content=content)

response = client.document_text_detection(image=image)
document = response.full_text_annotation

# Collect specified feature bounds by enumerating all document features
for page in document.pages:
    for block in page.blocks:
        for paragraph in block.paragraphs:
            for word in paragraph.words:
                for symbol in word.symbols:
                    if (feature == FeatureType.SYMBOL):
                        bounds.append(symbol.bounding_box)

                if (feature == FeatureType.WORD):
                    bounds.append(word.bounding_box)

            if (feature == FeatureType.PARA):
                bounds.append(paragraph.bounding_box)

        if (feature == FeatureType.BLOCK):
            bounds.append(block.bounding_box)

# The list `bounds` contains the coordinates of the bounding boxes.
# [END vision_document_text_tutorial_detect_bounds]
return bounds

***我的目标是需要从图像中提取文本。作为其中的一部分，我在函数“GetDocument\u bounds”中创建边界

使用io.open（image，'rb'）作为image_文件：“当使用io.open函数打开映像时，我得到了上面的代码

Answer 1

你的意思是说

image= types.Image(content=content)

以前

with io.open(image, 'rb') as image_file:
content = image_file.read()

?