Python basic tutorial: face ++ and python implement face recognition check-in (attendance) function

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This article mainly introduces the face recognition and attendance (attendance) function of face ++ and python for everyone. It has a certain reference value. Interested friends can refer to the
project to use face ++ to develop a classroom check-in software to achieve The camera can complete the check-in work of recording the student number, name and time.

Project architecture
Project usage scenario
Code:

Process code, main file

#!usr/bin/
# -*- coding: utf-8 -*-
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 = "***************"
secret = "*********************"
  
filename = time.time()
filepath = "photo/" + str(filename) + ".jpg"
  
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":'zbpm'}
files = {"image_file": open(filepath, "rb")}
response = requests.post(search_url, data=data, files=files)
req_con = response.content.decode('utf-8')
req_dict = JSONDecoder().decode(req_con)
pre_face_token = req_dict["results"][0]["face_token"]
pre_confidence = req_dict["results"][0]["confidence"]
pre_thresholds = req_dict["thresholds"]["1e-5"]
print("...")
  
data = {"api_key": key, "api_secret": secret,"outer_id":'zbpm'}
response = requests.post(getdetail_url, data=data)
req_con = response.content.decode('utf-8')
req_dict = JSONDecoder().decode(req_con)
faces_token = req_dict["face_tokens"]
print("...")
  
if pre_face_token in faces_token and pre_confidence >= pre_thresholds:
  labaltext = faceID_dict[pre_face_token] + "\n\n\n" +str(time.asctime(time.localtime()))
  window = tk.Tk()
  window.title = ('FaceID')
  window.geometry = ('200x200')
  var = tk.StringVar() 
  l = tk.Label(window,bg = 'yellow',text = labaltext,font=("黑体",20 ,"bold"),width = 30,height = 20)
  l.pack()
  l.config(text=labaltext+var.get())
  #tk.messagebox.askokcancel('faceId', faceID_dict[pre_face_token] + "\n" +str(time.asctime(time.localtime())))
  print(faceID_dict[pre_face_token])
else:
  tkinter.messagebox.askokcancel('提示', '未找到')
  print("未找到")

Module for building cloud face dataset:

#!usr/bin/
# -*- coding: utf-8 -*-
import requests
import time
from json import JSONDecoder
import csv
  
  
http_url ='https://api-cn.faceplusplus.com/facepp/v3/faceset/addface'
key = "z_qkMMqK1efq8ikgAPOEn89A7And-lAa"
secret = "***********************"
faceset_token = '******************************'
  
face_tokens_str = ''
csvfile = open('face_token.csv','r')
freader = csv.reader(csvfile)
facedata = []
i = 0
for item in freader:
  i = i + 1
  face_tokens_str = face_tokens_str + item[1] + ','
  if i%5 == 0:
    face_tokens_str = face_tokens_str[:-1]
    facedata.append (face_tokens_str)
    face_tokens_str = ''
face_tokens_str = face_tokens_str[:-1]
facedata.append (face_tokens_str)
csvfile.close()
  
for item in facedata:
  print(item)
  data = {"api_key":key,"api_secret":secret,"faceset_token":faceset_token,"face_tokens":item}
  response = requests.post(http_url, data=data)
  print(response)
  print(response.text)

The module for initially establishing a cloud-linked data set:

#!/usr/bin/env/ python
# _*_ coding:utf-8 _*_
  
import requests
from json import JSONDecoder
  
  
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 = "**********************"
secret = "*********************"
  
data = {"api_key":key,"api_secret":secret,"display_name":'SEUers',"outer_id":'zbpm'}
  
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":'zbpm'}
repn = requests.post(getdetails_url,data = data)
print(repn)
print(repn.text)

Generate storage facetoken:

Here I generate my facetoken from 171860 student number

#!usr/bin/
# -*- coding: utf-8 -*-
import requests
from json import JSONDecoder
import csv
  
id = 171860
  
http_url ='https://api-cn.faceplusplus.com/facepp/v3/detect'
key = "*******************"
secret = "*******************"
  
  
  
faceID_List = []
face_token_List = []
for i in range (0,10):
  faceID = str(id + i)
  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()

Thank you very much for reading
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