HYTOS

    response = client.text_detection(image=image, image_context={"language_hints": ["en"]})

    bounds = []

    document = response.full_text_annotation

    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)

                    '''

                    _vertices = [(vertex.x,vertex.y) for vertex in word.bounding_box.vertices]

                    cv2.rectangle(_image, _vertices[0], _vertices[2], (100, 100, 100), 2)

                    cv2.putText(_image, ''.join([s.text for s in word.symbols]), (_vertices[0][0] + 30, (_vertices[0][1] - 10)), cv2.FONT_HERSHEY_PLAIN, 1, (100, 100, 100), 1)

                _vertices = [(vertex.x,vertex.y) for vertex in paragraph.bounding_box.vertices]

                cv2.rectangle(_image, _vertices[0], _vertices[2], (100, 100, 100), 2)

                #if feature == FeatureType.PARA:

                #    bounds.append(paragraph.bounding_box)

            #if feature == FeatureType.BLOCK:

            #    bounds.append(block.bounding_box)

    '''

        cv2.putText(_image, text.description, (_vertices[0][0] + 30, (_vertices[0][1] - 10)), cv2.FONT_HERSHEY_PLAIN, 1, (100, 100, 100), 1)

    '''