python opencv人脸识别考勤系统

<h3>python opencv人脸识别考勤系统</h3>
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运行结果如下：
<img alt="" height="316" src="https://beijingoptbbs.oss-cn-beijing.aliyuncs.com/cs/5606289-6a42548d4beb802001259ce8c2caf6e1.png" width="548">
代码如下：
<pre class="blockcode"><code>
import wx
import wx.grid
from time import localtime,strftime
import os
import io
import zlib
import dlib # 人脸识别的库dlib
import numpy as np # 数据处理的库numpy
import cv2 # 图像处理的库OpenCv
import _thread
import threading

ID_NEW_REGISTER = 160
ID_FINISH_REGISTER = 161

ID_START_PUNCHCARD = 190
ID_END_PUNCARD = 191

ID_OPEN_LOGCAT = 283
ID_CLOSE_LOGCAT = 284

ID_WORKER_UNAVIABLE = -1

PATH_FACE = "data/face_img_database/"
# face recognition model, the object maps human faces into 128D vectors
facerec = dlib.face_recognition_model_v1("model/dlib_face_recognition_resnet_model_v1.dat")
# Dlib 预测器
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor('model/shape_predictor_68_face_landmarks.dat')

class WAS(wx.Frame):
def __init__(self):
 wx.Frame.__init__(self,parent=None,title="员工考勤系统",size=(920,560))

 self.initMenu()
 self.initInfoText()
 self.initGallery()
 self.initDatabase()
 self.initData()

def initData(self):
 self.name = ""
 self.id =ID_WORKER_UNAVIABLE
 self.face_feature = ""
 self.pic_num = 0
 self.flag_registed = False
 self.puncard_time = "21:00:00"
 self.loadDataBase(1)

def initMenu(self):

 menuBar = wx.MenuBar() #生成菜单栏
 menu_Font = wx.Font()#Font(faceName="consolas",pointsize=20)
 menu_Font.SetPointSize(14)
 menu_Font.SetWeight(wx.BOLD)

 registerMenu = wx.Menu() #生成菜单
 self.new_register = wx.MenuItem(registerMenu,ID_NEW_REGISTER,"新建录入")
 self.new_register.SetBitmap(wx.Bitmap("drawable/new_register.png"))
 self.new_register.SetTextColour("SLATE BLUE")
 self.new_register.SetFont(menu_Font)
 registerMenu.Append(self.new_register)

 self.finish_register = wx.MenuItem(registerMenu,ID_FINISH_REGISTER,"完成录入")
 self.finish_register.SetBitmap(wx.Bitmap("drawable/finish_register.png"))
 self.finish_register.SetTextColour("SLATE BLUE")
 self.finish_register.SetFont(menu_Font)
 self.finish_register.Enable(False)
 registerMenu.Append(self.finish_register)

 puncardMenu = wx.Menu()
 self.start_punchcard = wx.MenuItem(puncardMenu,ID_START_PUNCHCARD,"开始签到")
 self.start_punchcard.SetBitmap(wx.Bitmap("drawable/start_punchcard.png"))
 self.start_punchcard.SetTextColour("SLATE BLUE")
 self.start_punchcard.SetFont(menu_Font)
 puncardMenu.Append(self.start_punchcard)

 self.close_logcat = wx.MenuItem(logcatMenu, ID_CLOSE_LOGCAT, "关闭日志")
 self.close_logcat.SetBitmap(wx.Bitmap("drawable/close_logcat.png"))
 self.close_logcat.SetFont(menu_Font)
 self.close_logcat.SetTextColour("SLATE BLUE")
 logcatMenu.Append(self.close_logcat)

 menuBar.Append(registerMenu,"&人脸录入")
 menuBar.Append(puncardMenu,"&刷脸签到")
 menuBar.Append(logcatMenu,"&考勤日志")
 self.SetMenuBar(menuBar)

 self.Bind(wx.EVT_MENU,self.OnNewRegisterClicked,id=ID_NEW_REGISTER)
 self.Bind(wx.EVT_MENU,self.OnFinishRegisterClicked,id=ID_FINISH_REGISTER)
 self.Bind(wx.EVT_MENU,self.OnStartPunchCardClicked,id=ID_START_PUNCHCARD)
 self.Bind(wx.EVT_MENU,self.OnEndPunchCardClicked,id=ID_END_PUNCARD)
 self.Bind(wx.EVT_MENU,self.OnOpenLogcatClicked,id=ID_OPEN_LOGCAT)
 self.Bind(wx.EVT_MENU,self.OnCloseLogcatClicked,id=ID_CLOSE_LOGCAT)

 pass

def OnCloseLogcatClicked(self,event):
 self.SetSize(920,560)

 self.initGallery()
 pass

def register_cap(self,event):
 # 创建 cv2 摄像头对象
 self.cap = cv2.VideoCapture(0)
 # cap.set(propId, value)
 # 设置视频参数，propId设置的视频参数，value设置的参数值
 # self.cap.set(3, 600)
 # self.cap.set(4,600)
 # cap是否初始化成功
 while self.cap.isOpened():
 # cap.read()
 # 返回两个值：
 # 一个布尔值true/false，用来判断读取视频是否成功/是否到视频末尾
 # 图像对象，图像的三维矩阵
 flag, im_rd = self.cap.read()

 # 每帧数据延时1ms，延时为0读取的是静态帧
 kk = cv2.waitKey(1)
 # 人脸数 dets
 dets = detector(im_rd, 1)

 # 检测到人脸
 if len(dets) != 0:
 biggest_face = dets[0]
 #取占比最大的脸
 maxArea = 0
 for det in dets:
 w = det.right() -