HYTOS

def detect_text(path):

    """Detects text in the file."""

    from google.cloud import vision

    import cv2

    import numpy as np

    client = vision.ImageAnnotatorClient()

    with open(path, "rb") as image_file:

        content = image_file.read()

    _image = cv2.imread(path, 1)

    image = vision.Image(content=content)

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

    #response = client.document_text_detection(image=image)

    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)

    '''

    texts = response.text_annotations

    #print("Texts:")

    for text in texts[1:]:

        #print(f'\n"{text.description}"')

        #vertices = [ f"({vertex.x},{vertex.y})" for vertex in text.bounding_poly.vertices ]

        #print("bounds: {}".format(",".join(vertices)))

        _vertices = [(vertex.x,vertex.y) for vertex in text.bounding_poly.vertices]

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

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

    '''

    cv2.imwrite(path.replace('.png', '_res.png'), _image)

    if response.error.message:

        raise Exception(

            "{}\nFor more info on error messages, check: "

            "https://cloud.google.com/apis/design/errors".format(response.error.message)

        )

if __name__ == "__main__":

    import os

    path = 'E:\Projects\DTIPID\minorTools\gcloud'

    path = os.path.join(path, '1.png')

    detect_text(path)