如何修复TypeError：预期的str，字节或os.PathLike对象，而不是python中的PngImageFile

Question

请找到下面的代码

def get_document_bounds（图像，功能）：＃[START vision_document_text_tutorial_detect_bounds]“”“返回给定图像的文档边界。”“”os.environ ['GOOGLE_APPLICATION_CREDENTIALS'] = r'C：\ DSpython \ bounds.json'客户端= 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。为此，我正在此函数“ get document _bounds”中创建边界。

“”使用io.open（image，'rb'）as image_file：“当使用io.open函数打开图像时，我得到了上面的代码。

Answer 1

你是不是想放

image= types.Image(content=content)

之前

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

？