/docs#/Face-Detect/top
这个是百度人脸识别api
参考博客：/qq_38412868/article/details/92394766
调用主要有三步：
获取access_token将图片处理成base64编码格式post请求访问接口得到结果
1.获取access_token
官方给的python示例代码，不过这个是python2的代码，python3里已经没有了urllib2，而且很繁琐
给出博主自己编写的py3利用requests的demo:
def get_access_token(client_id, client_secret):# client_id 为官网获取的AK， client_secret 为官网获取的SK# 帮助文档# /docs#/Auth/top# 帮助文档中python代码基于python2,本文已经转换为python3x调试通过。host = '/oauth/2.0/token?grant_type=client_credentials&client_id=' + client_id + '&client_secret=' + client_secretheader = {'Content-Type': 'application/json; charset=UTF-8'}response1 = requests.post(url=host, headers=header) # <class 'requests.models.Response'>json1 = response1.json() # <class 'dict'>access_token = json1['access_token']return access_token
2.将图片处理成base64编码格式
流程大致是将图片读取为二进制格式，再利用二进制到base64格式的函数转换
打开文件夹，选择图片，自动记录图片目录
def open_pic2base64():# 本地图片地址，根据自己的图片进行修改# 打开本地图片，并转化为base64root = tkinter.Tk() # 创建一个Tkinter.Tk()实例root.withdraw() # 将Tkinter.Tk()实例隐藏file_path = tkinter.filedialog.askopenfilename(title=u'选择文件')f = open(file_path, 'rb')img = base64.b64encode(f.read()).decode('utf-8')return img
3.post请求访问接口得到结果
识别人脸，给出性别、年龄、人种、颜值分数、是否带眼镜等信息
def bd_rec_face(client_id, client_secret):# 识别人脸，给出性别、年龄、人种、颜值分数、是否带眼镜等信息# 帮助文档中python代码基于python2,本文已经转换为python3x调试通过。request_url = "/rest/2.0/face/v3/detect"params = {"image": open_pic2base64(), "image_type": "BASE64","face_field": "age,beauty,glasses,gender,race"}header = {'Content-Type': 'application/json'}access_token = get_access_token(client_id, client_secret) # '[调用鉴权接口获取的token]'request_url = request_url + "?access_token=" + access_tokenrequest_url = request_url + "?access_token=" + access_tokenresponse1 = requests.post(url=request_url, data=params, headers=header)json1 = response1.json()print("性别为", json1["result"]["face_list"][0]['gender']['type'])print("年龄为", json1["result"]["face_list"][0]['age'], '岁')print("人种为", json1["result"]["face_list"][0]['race']['type'])print("颜值评分为", json1["result"]["face_list"][0]['beauty'], '分/100分')print("是否带眼镜", json1["result"]["face_list"][0]['glasses']['type'])
完整代码：
# 调用百度API完成人脸识别"""Created on -06-21@author: DaDaBaoBaoRen"""import requestsimport base64import tkinter.filedialogdef get_access_token(client_id, client_secret):# client_id 为官网获取的AK， client_secret 为官网获取的SK# 帮助文档# /docs#/Auth/top# 帮助文档中python代码基于python2,本文已经转换为python3x调试通过。host = '/oauth/2.0/token?grant_type=client_credentials&client_id=' + client_id + '&client_secret=' + client_secretheader = {'Content-Type': 'application/json; charset=UTF-8'}response1 = requests.post(url=host, headers=header) # <class 'requests.models.Response'>json1 = response1.json() # <class 'dict'>access_token = json1['access_token']return access_tokendef open_pic2base64():# 本地图片地址，根据自己的图片进行修改# 打开本地图片，并转化为base64root = tkinter.Tk() # 创建一个Tkinter.Tk()实例root.withdraw() # 将Tkinter.Tk()实例隐藏file_path = tkinter.filedialog.askopenfilename(title=u'选择文件')f = open(file_path, 'rb')img = base64.b64encode(f.read()).decode('utf-8')return imgdef bd_rec_face(client_id, client_secret):# 识别人脸，给出性别、年龄、人种、颜值分数、是否带眼镜等信息# 帮助文档中python代码基于python2,本文已经转换为python3x调试通过。request_url = "/rest/2.0/face/v3/detect"params = {"image": open_pic2base64(), "image_type": "BASE64","face_field": "age,beauty,glasses,gender,race"}header = {'Content-Type': 'application/json'}access_token = get_access_token(client_id, client_secret) # '[调用鉴权接口获取的token]'request_url = request_url + "?access_token=" + access_tokenrequest_url = request_url + "?access_token=" + access_tokenresponse1 = requests.post(url=request_url, data=params, headers=header)json1 = response1.json()print("性别为", json1["result"]["face_list"][0]['gender']['type'])print("年龄为", json1["result"]["face_list"][0]['age'], '岁')print("人种为", json1["result"]["face_list"][0]['race']['type'])print("颜值评分为", json1["result"]["face_list"][0]['beauty'], '分/100分')print("是否带眼镜", json1["result"]["face_list"][0]['glasses']['type'])if __name__ == '__main__':# 以下为代码功能测试：# 账户id，client_id 为官网获取的AK， client_secret 为官网获取的SK。# https://console./ai/?fromai=1#/ai/face/app/listclient_id = XXXXXXXXXXXXXXXXXXXXXXXXXXXXX' # akclient_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXX' # sk# 实例1：人脸识别bd_rec_face(client_id, client_secret)
