detect.py

import requests
import matplotlib.pyplot as plt
from PIL import Image
from matplotlib import patches
from io import BytesIO

# Replace <Subscription Key> with your valid subscription key.
subscription_key = "f264a424fd2f430c99cad98d1c825437"
assert subscription_key

# You must use the same region in your REST call as you used to get your
# subscription keys. For example, if you got your subscription keys from
# westus, replace "westcentralus" in the URI below with "westus".
#
# Free trial subscription keys are generated in the westcentralus region.
# If you use a free trial subscription key, you shouldn't need to change
# this region.
face_api_url = 'https://westcentralus.api.cognitive.microsoft.com/face/v1.0/detect'

# Set image_url to the URL of an image that you want to analyze.
image_url = 'https://avatars2.githubusercontent.com/u/28821763?s=400&v=4'

headers = {'Ocp-Apim-Subscription-Key': subscription_key}
params = {
    'returnFaceId': 'true',
    'returnFaceLandmarks': 'false',
    'returnFaceAttributes': 'age,gender'
}
data = {'url': image_url}
response = requests.post(face_api_url, params=params, headers=headers, json=data)
faces = response.json()
#print(faces)
#print('json done')
print('Image link')
print(image_url)
print(faces)
# Display the original image and overlay it with the face information.
image = Image.open(BytesIO(requests.get(image_url).content))
plt.figure(figsize=(8, 8))
ax = plt.imshow(image, alpha=0.6)
for face in faces:
    fr = face["faceRectangle"]
    fa = face["faceAttributes"]
    origin = (fr["left"], fr["top"])
    p = patches.Rectangle(
        origin, fr["width"], fr["height"], fill=False, linewidth=2, color='b')
    ax.axes.add_patch(p)
    plt.text(origin[0], origin[1], "%s, %d"%(fa["gender"].capitalize(), fa["age"]),
             fontsize=20, weight="bold", va="bottom")
_ = plt.axis("off")