python基础教程：face++与python实现人脸识别签到（考勤）功能Pythonpython函数基础教程-

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这篇文章主要为大家详细介绍了face++与python实现人脸识别签到（考勤）功能，具有一定的参考价值，感兴趣的小伙伴们可以参考一下
项目实现利用face++开发一个课堂签到的软件，实现面向摄像头即可完成记录学号、姓名和时间的签到工作。

项目架构
项目使用场景
代码：

流程代码，主文件

#!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] + "nnn" +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") 

建立云脸数据集的模块：

#!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) 

初始建立云联数据集的模块：

#!/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) 

生成存储facetoken：

这里从171860学号开始生成我的facetoken

#!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() 

非常感谢你的阅读
大学的时候选择了自学python，工作了发现吃了计算机基础不好的亏，学历不行这是
没办法的事，只能后天弥补，于是在编码之外开启了自己的逆袭之路，不断的学习python核心知识，深入的研习计算机基础知识，整理好了，如果你也不甘平庸，那就与我一起在编码之外，不断成长吧！
其实这里不仅有技术，更有那些技术之外的东西，比如，如何做一个精致的程序员，而不是“屌丝”，程序员本身就是高贵的一种存在啊，难道不是吗？[点击加入]想做你自己想成为高尚人，加油！