Detect faces in a local image using the Azure Face API in Python

azure_face_local_image.py

import json
import urllib
import requests

from pprint import pprint
from os.path import expanduser

headers = {
    'Content-Type': 'application/octet-stream',
    'Ocp-Apim-Subscription-Key': 'your-api-key',
}

params = urllib.urlencode({
    'returnFaceId': 'true',
    'returnFaceLandmarks': 'false',
    'returnFaceAttributes': 'age,gender,headPose,smile,facialHair,glasses',
})

url = 'https://api.projectoxford.ai/face/v1.0/detect?%s' % params

img = open(expanduser('~/pictures/clarifai/burning_basmatty.jpg'), 'rb')
response = requests.post(url, data=img, headers=headers)
pprint(response.json())
if response.status_code != 200:
    raise ValueError(
        'Request to Azure returned an error %s, the response is:\n%s'
        % (response.status_code, response.text)
    )