Returns the bounds for the boxes around the text detected in a document.
For detailed documentation that includes this code sample, see the following:
Before trying this sample, follow the Python setup instructions in the Vision quickstart using client libraries. For more information, see the Vision Python API reference documentation.
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 = vision.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. return bounds
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