example of google vision api for label detection

google_vision_ex.py

import argparse
import base64
import httplib2
import os

from apiclient.discovery import build
from oauth2client.client import GoogleCredentials

os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = 'secret.json'


def main(photo_file):
  '''Run a label request on a single image'''

 #returns a label of what the image is
  API_DISCOVERY_FILE = 'https://vision.googleapis.com/$discovery/rest?version=v1'
  http = httplib2.Http()

  credentials = GoogleCredentials.get_application_default().create_scoped(
      ['https://www.googleapis.com/auth/cloud-platform'])
  credentials.authorize(http)

  service = build('vision', 'v1', http, discoveryServiceUrl=API_DISCOVERY_FILE)

  with open(photo_file, 'rb') as image:
    image_content = base64.b64encode(image.read())
    service_request = service.images().annotate(
      body={
        'requests': [{
          'image': {
            'content': image_content
           },
          'features': [{
            'type': 'TEXT_DETECTION',
            'maxResults': 1,
           }]
         }]
      })
    response = service_request.execute()
    print response
    #https://cloud.google.com/vision/reference/rest/v1/images/annotate
    #label = response['responses'][0]['labelAnnotations'][0]['description']
    #print('Found label: %s for %s' % (label, photo_file))
    return 0

if __name__ == '__main__':
  parser = argparse.ArgumentParser()
  parser.add_argument(
    'image_file', help='The image you\'d like to label.')
  args = parser.parse_args()
  main(args.image_file)