1.功能描述：
百度人脸识别功能，包含人脸检测与属性分析、人脸对比、人脸搜索、活体检测等能力。人脸检测与属性分析能够对人的性别、年龄等属性进行准确的分析。

2.平台接入

具体接入方式比较简单，可以参考我的另一个帖子，这里就不重复了：
http://ai.baidu.com/forum/topic/show/943327

3.调用攻略（Python3）及评测

3.1首先认证授权：

在开始调用任何API之前需要先进行认证授权，具体的说明请参考：

http://ai.baidu.com/docs#/Auth/top

具体Python3代码如下：

# -*- coding: utf-8 -*-
#!/usr/bin/env python

import urllib
import base64
import json
#client_id 为官网获取的AK， client_secret 为官网获取的SK
client_id =【百度云应用的AK】
client_secret =【百度云应用的SK】

#获取token
def get_token():
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + client_id + '&client_secret=' + client_secret
request = urllib.request.Request(host)
request.add_header('Content-Type', 'application/json; charset=UTF-8')
response = urllib.request.urlopen(request)
token_content = response.read()
#print (token_content)
if token_content:
token_info = json.loads(token_content)
token_key = token_info['access_token']
return token_key

3.2百度人脸检测接口调用：

详细说明请参考： https://ai.baidu.com/ai-doc/FACE/yk37c1u4t

说明的比较清晰，这里就不重复了。

大家需要注意的是：人脸检测
API访问URL：https://aip.baidubce.com/rest/2.0/face/v3/detect

Python3调用代码如下：

def draw_gestures(originfilename,gestures,resultfilename,fontsize):
    setFont = ImageFont.truetype('C:/windows/fonts/simfang.ttf', fontsize)
    image_origin = Image.open(originfilename)
    draw =ImageDraw.Draw(image_origin)
    
    for gesture in gestures:
        location=gesture['location']
        x=gesture['gender']['type']
        dict = {"female" : "女", "male" : "男"}
        content='性别:'+dict[x]+"\n"+'年龄:'+str(gesture['age'])
        draw.rectangle((location['left'],location['top'],location['left']+location['width'],location['top']+location['height']),outline = "grey",width=2)
        draw.text((location['left']+location['width'],location['top']), content,font=setFont,fill="blue")
    image_origin.save(resultfilename, "JPEG")
    

def age_detect(filename,resultfilename):
    request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"
    print(filename)
    # 二进制方式打开图片文件
    f = open(filename, 'rb')
    img = base64.b64encode(f.read())
    
    params = dict()
    params['image'] = img
    params['image_type'] = 'BASE64'
    params['face_field'] = 'age,beauty,expression,face_shape,gender,glasses'
    params = urllib.parse.urlencode(params).encode("utf-8")
    #params = json.dumps(params).encode('utf-8')
    
    access_token = get_token()
    begin = time.perf_counter()
    request_url = request_url + "?access_token=" + access_token
    request = urllib.request.Request(url=request_url, data=params)
    request.add_header('Content-Type', 'application/x-www-form-urlencoded')
    response = urllib.request.urlopen(request)
    content = response.read()
    end = time.perf_counter()

    print('处理时长:'+'%.2f'%(end-begin)+'秒')
    if content:
        #print(content)
        content=content.decode('utf-8')
        #print(content)
        data = json.loads(content)
        result=data['result']['face_list']
        draw_gestures(filename,result,resultfilename,25)

4.功能评测：

具体效果如下（以下例子均来自网上）：：

5.测试结论和建议
经过测试发现人脸检测对于年龄，性别等内容的判断非常准确，可以用于多种应用场景。