如果我们知道图像的语言，如何在检测图像上的文本时改善Google视觉结果 [英] How to improve Google Vision results while detecting a text on an image if we know the language of

问题描述

如何修改以下Python代码以德语返回结果?是否有可能?谢谢.

How to modify the following Python code to return results in German? Is it possible? Thank you.

def detect_text_uri(uri):
    """Detects text in the file located in Google Cloud Storage or on the Web.
    """
    client = vision.ImageAnnotatorClient()
    image = types.Image()
    image.source.image_uri = uri

    response = client.text_detection(image=image)
    texts = response.text_annotations
    print('Texts:')

    for text in texts:
        print('\n"{}"'.format(text.description))

        vertices = (['({},{})'.format(vertex.x, vertex.y)
                for vertex in text.bounding_poly.vertices])

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

推荐答案

是的，您可以使用"languageHints": [ "de"]

{
  "requests": [
    {
      "imageContext": {
        "languageHints": ["de"]
      }
    }
  ]
}

对于所有类型的语言代码，请检查支持的Google视觉语言

For all types of language codes, check supported Google vision languages

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