调用微软Azure的人脸API进行情绪识别

首先在微软官方网站上申请免费的API

下面是调用的python3代码

# -*- coding: utf-8 -*-
"""
Created on Wed Apr 24 18:47:13 2019

@author: Wesley
"""

import json
import requests
from IPython.display import HTML
import matplotlib.pyplot as plt
from PIL import Image
from matplotlib import patches
from io import BytesIO

subscription_key = 'c726aaee12854a068e2ccf91ebbbe3b8'     #换成自己申请到的key
assert subscription_key
face_api_url = 'https://westcentralus.api.cognitive.microsoft.com/face/v1.0/detect'
image_url = 'https://how-old.net/Images/faces2/main007.jpg'

headers = { 'Ocp-Apim-Subscription-Key': subscription_key }
    
params = {
    'returnFaceId': 'true',
    'returnFaceLandmarks': 'false',
    'returnFaceAttributes': 'age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise',
}

response = requests.post(face_api_url, params=params, headers=headers, json={"url": image_url})
faces = response.json()
print(json.dumps(faces))
HTML("<font size=5>Detected <font color='blue'>%d</font> faces in the image</font>"%len(faces))

#matplotlib inline
response = requests.get(image_url)
image = Image.open(BytesIO(response.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"%(max(fa["emotion"], key=fa["emotion"].get)), fontsize=30, weight="bold", va="bottom")
_ = plt.axis("off")

运行结果