如果我们知道语言，如何在检测图像上的文本时改进 Google 视觉结果

Question

如何将以下 Python 代码修改为德语的 return 结果？可能吗？谢谢。

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)))

Answer 1

是的，您可以使用 "languageHints": [ "de"]

指定

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

对于所有类型的语言代码，请选中 supported Google vision languages

如果我们知道语言，如何在检测图像上的文本时改进 Google 视觉结果

How to improve Google Vision results while detecting a text on an image if we know the language of

python

google-vision

text-recognition