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调用百度API实现人脸识别_xmur78 top

xmur78 top

人脸识别,听着很高级,但实际上它确实很高级。不过对于我们开发人员来说,我们大部分人都是拿来主义。这次展示的是调用百度人脸识别API进行人脸信息分析,笔者试了下,发现还是挺准确的,而且代码量很少才8行。(用的python,如果用java铁定不止)。下面来看步骤:
第一步:用你的百度账号登陆百度云管理中心,找到人脸识别后,进去创建应用。这个就不细说啦。

第二步:根据百度分配给你的API Key和Secret Key获得access_token。

 

获取Access Token
请求URL数据格式
向授权服务地址https://aip.baidubce.com/oauth/2.0/token发送请求(推荐使用POST),并在URL中带上以下参数:
grant_type: 必须参数,固定为client_credentials;
client_id: 必须参数,应用的API Key;
client_secret: 必须参数,应用的Secret Key;
python代码如下(使用时请改成自己申请的key):

  1. import  requests
  2. host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=Va5yQRHlA4Fq5eR3LT0vuXV4&client_secret=0rDSjzQ20XUj5itV6WRtznPQSzr5pVw2&'
  3. header={'Content-Type':'application/json; charset=UTF-8'}
  4. content= requests.get(host,headers=header).text
  5. print(content)

第三步:既然是人脸识别,那肯定需要一张图片。这里我用的是BASE64,可以进入这个网站前端在线工具站,将一张图片转为BASE64编码。
第四步:直接上代码(这里如果去掉注释不换行参数也就八行代码)

  1. import  requests
  2. #请求URL
  3. request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"
  4. #参数  image:第三步得到的base64编码
  5. params = "{\"image\":\"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\"," \
  6.          #image_type:我们用的编码所以选择BASE64
  7.          "\"image_type\":\"BASE64\"," \
  8.         #多处理人脸的数目,默认值为1,仅检测图片中面积最大的那个人脸;最大值10,检测图片中面积最大的几张人脸。
  9.          "\"max_face_num\":\"2\"," \
  10.         #需要返回的人脸信息,自己根据需要配置
  11.          "\"face_field\":\"age,beauty,face_shape,gender,glasses,race\"}"
  12.          #第二步得到的token
  13. access_token = '24.818f685d9558ee234d7ae16007f9e794.2592000.1537433960.282335-11707532'
  14. request_url = request_url + "?access_token=" + access_token
  15. header={'Content-Type':'application/json'}
  16. #构造post请求
  17. content=requests.post(request_url,headers=header,data=params).text
  18. print(content)

运行完毕后我们就得到信息了如下:

  1. {
  2.     "error_code"0,
  3.     "error_msg""SUCCESS",
  4.     "log_id"6520175201201,
  5.     "timestamp"1534899652,
  6.     "cached"0,
  7.     "result": {
  8.         "face_num"1,
  9.         "face_list": [{
  10.             "face_token""23a753b546352d6f4622dd78dc04713e",
  11.             "location": {
  12.                 "left"164.1158142,
  13.                 "top"108.0578461,
  14.                 "width"97,
  15.                 "height"94,
  16.                 "rotation": -4
  17.             },
  18.             "face_probability"1,
  19.             "angle": {//人脸角度
  20.                 "yaw": -5.471499443,
  21.                 "pitch"10.16471004,
  22.                 "roll": -5.072036266
  23.             },
  24.             "age"23,//年龄
  25.             "beauty"75.99904633,//美丽程度打分
  26.             "face_shape": {//面部形状
  27.                 "type""oval",
  28.                 "probability"0.6435587406
  29.             },
  30.             "gender": {//性别
  31.                 "type""male",
  32.                 "probability"0.9998631477
  33.             },
  34.             "glasses": {//是否戴眼镜
  35.                 "type""none",
  36.                 "probability"0.9999995232
  37.             },
  38.             "race": {//人种
  39.                 "type""yellow",
  40.                 "probability"0.9999850988
  41.             }
  42.         }]
  43.     }
  44. }

返回参数具体说明详见百度

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