Python与Face++实现简易人脸识别考勤系统

• 一、注册Face++用户
• 二、仿真步骤
• • 1.系统体系结构
  • 2.仿真环境
  • 3.安装依赖环境
  • 4.配置文件
  • 5.创建云端人脸集
  • 6.上传人脸并且进行人脸检测得到Face_token并将其存入CSV文件中
  • 7.主程序
• 三、总结
• 四、参考和拓展

本系统采用的是旷视旗下的Face++人工智能开放平台，首先需要注册一个Face++用户（地址为：https://console.faceplusplus.com.cn/register），在其平台中创建新应用，获得对应的API Key和API Secret

     本文采用的语言为Python语言，代码编译器采用的是Visual Studio Code
     Python版本为：IDLE (Python 3.9 64-bit)      

        直接可以用pip指令去安装

opencv-contrib-python == 4.5.5.62
pencv-python == 4.5.5.62
requests == 2.27.1

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

#配置文件
key = "你申请的API Key"
secret = "申请的API Screct"
outer_id = '*'#人脸库名称

#!/usr/bin/env/ python
# _*_ coding:utf-8 _*_
  
import requests
from json import JSONDecoder
import config

#每个人脸组只需要执行一次
http_url = "https://api-cn.faceplusplus.com/facepp/v3/faceset/create"
get_url = "https://api-cn.faceplusplus.com/facepp/v3/faceset/getfacesets"
getdetails_url = "https://api-cn.faceplusplus.com/facepp/v3/faceset/getdetail"
key = config.key
secret = config.secret
outer_id = config.outer_id

data = {"api_key":key,"api_secret":secret,"outer_id":outer_id}
  
repn = requests.post(http_url,data = data)
print(repn)
print(repn.text)
data = {"api_key":key,"api_secret":secret}
repn = requests.post(get_url,data = data)
print(repn)
print(repn.text)
data = {"api_key":key,"api_secret":secret,"outer_id":outer_id}
repn = requests.post(getdetails_url,data = data)
print(repn)
print(repn.text)

#!usr/bin/
# -*- coding: utf-8 -*-
import requests
from json import JSONDecoder
import csv
import config
#开始学号
#图片用学号命名放在picture文件夹下
id = '学号1'

http_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'
key = config.key
secret = config.secret

faceID_List = []
face_token_List = []
for i in range(0, 5):
    faceID = str(id + i)
    print(faceID)
    file = "./picture/" + faceID + ".jpg"
    data = {"api_key": key, "api_secret": secret, "return_landmark": 1, }
    file = {"image_file": open(file, 'rb')}

    response = requests.post(http_url, data=data, files=file)
    req_con = response.content.decode('utf-8')
    req_dict = JSONDecoder().decode(req_con)
    face_token = req_dict["faces"][0]["face_token"]
    faceID_List.append(faceID)
    face_token_List.append(face_token)

print(faceID_List)
print(face_token_List)

csvfile = open('face_token.csv','a',newline='' )
fwriter = csv.writer(csvfile)
for i in range(len(faceID_List)):
    fwriter.writerow([faceID_List[i], face_token_List[i]])
csvfile.close()

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

#识别程序
import config
import requests
from json import JSONDecoder
import csv
import cv2
import time
import tkinter as tk
  
search_url = "https://api-cn.faceplusplus.com/facepp/v3/search"
getdetail_url = "https://api-cn.faceplusplus.com/facepp/v3/faceset/getdetail"
key = config.key
secret = config.secret

filename = time.time()
filepath = "photo/" + str(filename) + ".jpg"
b = time.localtime(filename);
nowTime = time.strftime("%Y-%m-%d %H:%M:%S", b)
cap = cv2.VideoCapture(0)
while(1):
  # get a frame
  ret, frame = cap.read()
  # show a frame
  cv2.imshow("capture", frame)
  if cv2.waitKey(1) & 0xFF == ord('1'):
    cv2.imwrite(filepath, frame)
    break
cap.release()
cv2.destroyAllWindows()

print("waiting...")

csvfile = open('face_token.csv','r')
freader = csv.reader(csvfile)
dic = dict(freader)
csvfile.close()
faceID_dict = {v:k for k,v in dic.items()}
print("...")

data = {"api_key": key, "api_secret": secret, "outer_id":config.outer_id}
files = {"image_file": open(filepath, "rb")}
print(files)
response = requests.post(search_url, data=data, files=files)
# s = requests.session()
# s.keep_alive = False
req_con = response.content.decode('utf-8')
req_dict = JSONDecoder().decode(req_con)
print(type(req_dict))
print(req_dict)
pre_face_token = req_dict["results"][0]["face_token"]
csvfile = open('face_token.csv', 'r', newline='')
fread = csv.reader(csvfile);
def getStudentId(pre_face_token):
  for item in fread:
    if item[1] == pre_face_token:
      fp=open('考勤统计txt文件绝对路径','a+',encoding='utf-8')
      print("学号为：" + item[0] + "  考勤时间：" + nowTime,file=fp)
      fp.close()
      return
  print("考勤失败，查无此人")
getStudentId(pre_face_token)

本设计还有很多不足，是一个简易人脸识别系统，在人脸识别过程中没有考虑到活体检测这一功能，在后续考勤统计过程中没有加入数据库整合。

源码参考来源（本文代码参考了这位大佬的源码）
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