Google Cloud Vision不接受base64编码的图像python [英] Google cloud vision not accepting base64 encoded images python

问题描述

我对发送到Google Cloud Vision的base64编码图像有问题.有趣的是，如果我通过URI发送图像，则可以正常工作，因此我怀疑编码方式出了问题.

I'm having a problem with base64 encoded images sent to Google Cloud Vision. Funny thing is that if I send the image via URI, it works fine, so I suspect there is something wrong the way I'm encoding.

这是交易:

from google.cloud import vision
import base64
client = vision.ImageAnnotatorClient()
image_path ='8720911950_91828a2aeb_b.jpg'
with open(image_path, 'rb') as image:
    image_content = image.read()
    content = base64.b64encode(image_content)   
    response = client.annotate_image({'image': {'content': content}, 'features': [{'type': vision.enums.Feature.Type.LABEL_DETECTION}],})
    print(response)

我总是得到的答复是:

error {
  code: 3
  message: "Bad image data."
}

如果我尝试改用URI:

If I try using URI instead:

response = client.annotate_image({'image': {'source': {'image_uri': 'https://farm8.staticflickr.com/7408/8720911950_91828a2aeb_b.jpg'}}, 'features': [{'type': vision.enums.Feature.Type.LABEL_DETECTION}],})

响应正常...

label_annotations {
  mid: "/m/0168g6"
  description: "factory"
  score: 0.7942917943000793
}
label_annotations {
  mid: "/m/03rnh"
  description: "industry"
  score: 0.7761002779006958
}

我遵循了推荐的Google编码方式

你知道这是怎么回事吗?

Any idea what is wrong here?

推荐答案

我对Google Cloud Vision没有任何经验，但是在查看了他们的文档和示例后，我的感觉是链接的

I don't have any experience with Google Cloud Vision, however after looking at their documentation and examples, my feeling is that the linked documentation page about base64 encoding of image data is for the case when you create and send the HTTP requests on your own, without using vision.ImageAnnotatorClient. The latter seems to encode the image data automatically, hence in your example double encoding is applied. Therefore I believe that you should remove the encoding step from your code:

from google.cloud import vision
import base64
client = vision.ImageAnnotatorClient()
image_path ='8720911950_91828a2aeb_b.jpg'
with open(image_path, 'rb') as image:
    content = image.read()
    response = client.annotate_image({'image': {'content': content}, 'features': [{'type': vision.enums.Feature.Type.LABEL_DETECTION}],})
    print(response)

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