我正在尝试将来自 Google Cloud Vision API 客户端库的响应转换为 json 格式。但是我收到以下错误:
AttributeError: 'google.protobuf.pyext._message.RepeatedCompositeCo' object has no attribute 'DESCRIPTOR
资源
from flask_restful import Resource
from flask import request
from flask import json
from util.GoogleVision import GoogleVision
from util.Convert import Convert
import base64
import requests
import os
class Vision(Resource):
def post(self):
googleVision = GoogleVision()
req = request.get_json()
url = req['url']
result = googleVision.detectLabels(url)
return result
GoogleVision.py
import os
from google.cloud import vision
from google.cloud.vision import types
from google.protobuf.json_format import MessageToJson
class GoogleVision():
def detectLabels(self, uri):
client = vision.ImageAnnotatorClient()
image = types.Image()
image.source.image_uri = uri
response = client.label_detection(image=image)
labels = response.label_annotations
res = MessageToJson(labels)
return res
labels 变量的类型是 <class'google.protobuf.pyext._message.RepeatedCompositeContainer'>
如您所见,我在标签响应上使用了 message to json 函数。但我收到上述错误。
有没有办法把结果转成json格式?
最佳答案
一种简单的方法是使用 Discovery API。您可以使用 build() 创建服务对象功能。执行请求时,您将获得字典形式的响应。然后您可以使用 json.dumps()
将其转换为 JSON .
Discovery API 示例:
import json
import apiclient.discovery
import base64
class GoogleVision():
def detectLabels(self, uri):
# Instantiates a client
service = apiclient.discovery.build('vision', 'v1')
# Image file
file_name=uri
# Loads the image into memory
with open(file_name, 'rb') as image:
image_content = base64.b64encode(image.read())
# Creates the request
service_request = service.images().annotate(body={
'requests': [{
'image': {
'content': image_content.decode('UTF-8')
},
'features': [{
'type': 'LABEL_DETECTION',
}]
}]
})
# Execute the request
response = service_request.execute()
# Convert to Json
res_json = json.dumps(response)
return res_json
如果您不想使用 Discovery API,可以使用 MessageToDict()
将响应转换为字典先使用函数,然后使用 json.dumps()
转换为 JSON .
不使用 Discovery API 的示例 MessageToDict()
:
import json
from google.cloud import vision
from google.cloud.vision import types
from google.protobuf.json_format import MessageToDict
class GoogleVision():
def detectLabels(self, uri):
# Instantiates a client
client = vision.ImageAnnotatorClient()
# Image file
file_name=uri
# Loads the image into memory
with open(file_name, 'rb') as image:
image_content = image.read()
image = types.Image(content=image_content)
# Performs label detection on the image file
response = client.label_detection(image=image)
#Convert the response to dictionary
response = MessageToDict(response)
# Convert to Json
res_json = json.dumps(response)
return res_json
关于python - 如何将 Google 客户端视觉库响应转换为 Json,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/50874265/