获取 google vision API 找到单词的顶点答案

【问题标题】：Getting vertices where google vision API found words获取 google vision API 找到单词的顶点
【发布时间】：2018-12-15 20:34:13
【问题描述】：

我正在使用 Google Vision API。

我想获取 google vision 找到一个单词块的矩形的顶点（（x，y）位置）。到目前为止，我正在从谷歌客户端获取文本。

credentials = service_account.Credentials.from_service_account_file("/api-key.json")
client = vision.ImageAnnotatorClient(credentials=credentials)

#open file
with io.open(path, 'rb') as image_file:
    content = image_file.read()

#call api
image = types.Image(content=content)
response = client.document_text_detection(image=image)
document = response.full_text_annotation

我想要的是在document.text 中获取每个单词块的顶点。

【问题讨论】：

标签： python vision

【解决方案1】：

从 google documentation，您可以找到 API 响应的结构（BLOCK、PARAGRAPH、...）以及如何检索相应的顶点。

特别是这个功能：

def get_document_bounds(image_file, feature):
"""Returns document bounds given an image."""
client = vision.ImageAnnotatorClient()

bounds = []

with io.open(image_file, '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)

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

# The list `bounds` contains the coordinates of the bounding boxes.
return bounds

【讨论】：