python实现的人脸识别打卡系统
作者:king-xw 发布时间:2022-12-01 16:15:21
标签:python,人脸识别,打卡
目录
项目地址:
简介
使用
主要代码
项目地址:
https://github.com/king-xw/Face_Recogntion
简介
本仓库是使用python编写的一个简单的人脸识别考勤打卡系统
主要功能有录入人脸信息、人脸识别打卡、设置上下班时间、导出打卡日志等
下面是各模块截图
首页
录入人脸信息
人脸识别打卡
输出日志
使用
直接运行**==workAttendanceSystem==**.py即可
主要代码
import datetime
import time
import win32api
import win32con
import wx
import wx.grid
import sqlite3
from time import localtime, strftime
import os
from skimage import io as iio
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
import win32com.client
import tkinter as tk
from tkinter import filedialog
import csv
spk = win32com.client.Dispatch("SAPI.SpVoice")
ID_NEW_REGISTER = 160
ID_FINISH_REGISTER = 161
ID_START_PUNCHCARD = 190
ID_END_PUNCARD = 191
ID_TODAY_LOGCAT = 283
ID_CUSTOM_LOGCAT = 284
ID_WORKING_HOURS = 301
ID_OFFWORK_HOURS = 302
ID_DELETE = 303
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')
def speak_info(info):
spk.Speak(info)
def return_euclidean_distance(feature_1, feature_2):
feature_1 = np.array(feature_1)
feature_2 = np.array(feature_2)
dist = np.sqrt(np.sum(np.square(feature_1 - feature_2)))
print("欧式距离: ", dist)
if dist > 0.4:
return "diff"
else:
return "same"
class WAS(wx.Frame):
def __init__(self):
wx.Frame.__init__(self, parent=None, title="智能监控打卡系统", size=(920, 560))
self.Folderpath = None
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.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 BLACK")
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 BLACK")
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 BLACK")
self.start_punchcard.SetFont(menu_Font)
puncardMenu.Append(self.start_punchcard)
self.end_puncard = wx.MenuItem(puncardMenu, ID_END_PUNCARD, "结束签到")
self.end_puncard.SetBitmap(wx.Bitmap("drawable/end_puncard.png"))
self.end_puncard.SetTextColour("SLATE BLACK")
self.end_puncard.SetFont(menu_Font)
self.end_puncard.Enable(False)
puncardMenu.Append(self.end_puncard)
logcatMenu = wx.Menu()
self.today_logcat = wx.MenuItem(logcatMenu, ID_TODAY_LOGCAT, "输出今日日志")
self.today_logcat.SetBitmap(wx.Bitmap("drawable/open_logcat.png"))
self.today_logcat.SetFont(menu_Font)
self.today_logcat.SetTextColour("SLATE BLACK")
logcatMenu.Append(self.today_logcat)
self.custom_logcat = wx.MenuItem(logcatMenu, ID_CUSTOM_LOGCAT, "输出自定义日志")
self.custom_logcat.SetBitmap(wx.Bitmap("drawable/open_logcat.png"))
self.custom_logcat.SetFont(menu_Font)
self.custom_logcat.SetTextColour("SLATE BLACK")
logcatMenu.Append(self.custom_logcat)
setMenu = wx.Menu()
self.working_hours = wx.MenuItem(setMenu, ID_WORKING_HOURS, "上班时间")
self.working_hours.SetBitmap(wx.Bitmap("drawable/close_logcat.png"))
self.working_hours.SetFont(menu_Font)
self.working_hours.SetTextColour("SLATE BLACK")
setMenu.Append(self.working_hours)
self.offwork_hours = wx.MenuItem(setMenu, ID_OFFWORK_HOURS, "下班时间")
self.offwork_hours.SetBitmap(wx.Bitmap("drawable/open_logcat.png"))
self.offwork_hours.SetFont(menu_Font)
self.offwork_hours.SetTextColour("SLATE BLACK")
setMenu.Append(self.offwork_hours)
self.delete = wx.MenuItem(setMenu, ID_DELETE, "删除人员")
self.delete.SetBitmap(wx.Bitmap("drawable/end_puncard.png"))
self.delete.SetFont(menu_Font)
self.delete.SetTextColour("SLATE BLACK")
setMenu.Append(self.delete)
menuBar.Append(registerMenu, "&人脸录入")
menuBar.Append(puncardMenu, "&刷脸签到")
menuBar.Append(logcatMenu, "&考勤日志")
menuBar.Append(setMenu, "&设置")
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.ExportTodayLog, id=ID_TODAY_LOGCAT)
self.Bind(wx.EVT_MENU, self.ExportCustomLog, id=ID_CUSTOM_LOGCAT)
self.Bind(wx.EVT_MENU, self.SetWorkingHours, id=ID_WORKING_HOURS)
self.Bind(wx.EVT_MENU, self.SetOffWorkHours, id=ID_OFFWORK_HOURS)
self.Bind(wx.EVT_MENU, self.deleteBtn, id=ID_DELETE)
def SetWorkingHours(self, event):
global working
global setWorkingSign
setWorkingSign = False
self.loadDataBase(1)
# self.working_hours.Enable(True)
self.working_hours = wx.GetTextFromUser(message="请输入上班时间", caption="温馨提示", default_value="08:00:00",
parent=None)
working = self.working_hours
setWorkingSign = True
pass
def SetOffWorkHours(self, event):
global offworking
self.loadDataBase(1)
# self.offwork_hours.Enable(True)
self.offwork_hours = wx.GetTextFromUser(message="请输入下班时间", caption="温馨提示", default_value="18:00:00",
parent=None)
offworking = self.offwork_hours
win32api.MessageBox(0, "请确保同时设置上班时间和下班时间并且先设置上班时间", "提醒", win32con.MB_ICONWARNING)
if setWorkingSign:
self.loadDataBase(4)
else:
win32api.MessageBox(0, "您未设置上班时间", "提醒", win32con.MB_ICONWARNING)
pass
def ExportTodayLog(self, event):
global Folderpath1
Folderpath1 = ""
self.save_route1(event)
if not Folderpath1 == "":
self.loadDataBase(3)
day = time.strftime("%Y-%m-%d")
path = Folderpath1 + "/" + day + ".csv"
f = open(path, 'w', newline='', encoding='utf-8')
csv_writer = csv.writer(f)
csv_writer.writerow(["编号", "姓名", "打卡时间", "是否迟到"])
size = len(logcat_id)
index = 0
while size - 1 >= index:
localtime1 = str(logcat_datetime[index]).replace('[', '').replace(']', '')
csv_writer.writerow([logcat_id[index], logcat_name[index], localtime1, logcat_late[index]])
index += 1;
f.close()
pass
def ExportCustomLog(self, event):
global dialog
global t1
global t2
global Folderpath2
Folderpath2 = ""
dialog = wx.Dialog(self)
Label1 = wx.StaticText(dialog, -1, "输入员工id", pos=(30, 10))
t1 = wx.TextCtrl(dialog, -1, '', pos=(130, 10), size=(130, -1))
Label2 = wx.StaticText(dialog, -1, "输出日期(天)", pos=(30, 50))
sampleList = [u'1', u'3', u'7', u'30']
t2 = wx.ComboBox(dialog, -1, value="1", pos=(130, 50), size=(130, -1), choices=sampleList,
style=wx.CB_READONLY)
button = wx.Button(dialog, -1, "选择文件保存路径", pos=(120, 90))
button.Bind(wx.EVT_BUTTON, self.save_route2, button)
btn_confirm = wx.Button(dialog, 1, "确认", pos=(30, 150))
btn_close = wx.Button(dialog, 2, "取消", pos=(250, 150))
btn_close.Bind(wx.EVT_BUTTON, self.OnClose, btn_close)
btn_confirm.Bind(wx.EVT_BUTTON, self.DoCustomLog, btn_confirm)
dialog.ShowModal()
pass
# 关闭主窗口前确认一下是否真的关闭
def OnClose(self, event):
dlg = wx.MessageDialog(None, u'确定要关闭本窗口吗?', u'操作提示', wx.YES_NO)
if dlg.ShowModal() == wx.ID_YES:
dialog.Destroy()
def OnClose1(self, event):
dlg = wx.MessageDialog(None, u'确定要关闭本窗口吗?', u'操作提示', wx.YES_NO)
if dlg.ShowModal() == wx.ID_YES:
dialog1.Destroy()
def OnYes(self, event):
dlg = wx.MessageDialog(None, u'确定要删除该编号的员工?', u'操作提示', wx.YES_NO)
if dlg.ShowModal() == wx.ID_YES:
return True
def deleteBtn(self, event):
global dialog1
global t4
dialog1 = wx.Dialog(self)
Label1 = wx.StaticText(dialog1, -1, "输入员工id: ", pos=(40, 34))
t4 = wx.TextCtrl(dialog1, -1, '', pos=(130, 30), size=(130, -1))
btn_confirm = wx.Button(dialog1, 1, "确认", pos=(30, 150))
btn_close = wx.Button(dialog1, 2, "取消", pos=(250, 150))
btn_close.Bind(wx.EVT_BUTTON, self.OnClose1, btn_close)
btn_confirm.Bind(wx.EVT_BUTTON, self.deleteById, btn_confirm)
dialog1.ShowModal()
def DoCustomLog(self, event):
if not Folderpath2 == "":
number = t1.GetValue()
days = t2.GetValue()
flag = self.findById(number, days)
print("查询的天数是:", days)
if flag:
row = len(find_id)
path = Folderpath2 + '/' + find_name[0] + '.csv'
f = open(path, 'w', newline='', encoding='utf-8')
csv_writer = csv.writer(f)
csv_writer.writerow(["编号", "姓名", "打卡时间", "是否迟到"])
for index in range(row):
s1 = str(find_datetime[index]).replace('[', '').replace(']', '')
csv_writer.writerow([str(find_id[index]), str(find_name[index]), s1, str(find_late[index])])
f.close()
success = wx.MessageDialog(None, '日志保存成功,请注意查看', 'info', wx.OK)
success.ShowModal()
else:
warn = wx.MessageDialog(None, '输入id不正确,请重新输入', 'info', wx.OK)
warn.ShowModal()
dialog.Destroy()
else:
win32api.MessageBox(0, "请输入文件导出位置", "提醒", win32con.MB_ICONWARNING)
pass
def deleteById(self, event):
global delete_name
delete_name = []
id = t4.GetValue()
print("删除员工的id为:", id)
conn = sqlite3.connect("inspurer.db") # 建立数据库连接
cur = conn.cursor() # 得到游标对象
sql = 'select name from worker_info where id=' + id
sql1 = 'delete from worker_info where id=' + id
sql2 = 'delete from logcat where id=' + id
length = len(cur.execute(sql).fetchall())
if length <= 0:
win32api.MessageBox(0, "没有查询到该员工,请重新输入ID", "提醒", win32con.MB_ICONWARNING)
return False
else:
origin = cur.execute(sql).fetchall()
for row in origin:
delete_name.append(row[0])
name = delete_name[0]
print("名字是", name)
if self.OnYes(event):
cur.execute(sql1)
cur.execute(sql2)
conn.commit()
dir = PATH_FACE + name
for file in os.listdir(dir):
os.remove(dir + "/" + file)
print("已删除已录入人脸的图片", dir + "/" + file)
os.rmdir(PATH_FACE + name)
print("已删除已录入人脸的姓名文件夹", dir)
dialog1.Destroy()
self.initData()
return True
def findById(self, id, day):
global find_id, find_name, find_datetime, find_late
find_id = []
find_name = []
find_datetime = []
find_late = []
DayAgo = (datetime.datetime.now() - datetime.timedelta(days=int(day)))
# 转换为其他字符串格式:
day_before = DayAgo.strftime("%Y-%m-%d")
today = datetime.date.today()
first = today.replace(day=1)
last_month = first - datetime.timedelta(days=1)
print(last_month.strftime("%Y-%m"))
print(last_month)
conn = sqlite3.connect("inspurer.db") # 建立数据库连接
cur = conn.cursor() # 得到游标对象
sql = 'select id ,name,datetime,late from logcat where id=' + id
if day == '30':
str = "'"
sql1 = 'select id ,name,datetime,late from logcat where id=' + id + ' ' + 'and datetime like ' + str + '%' + last_month.strftime(
"%Y-%m") + '%' + str
else:
sql1 = 'select id ,name,datetime,late from logcat where id=' + id + ' ' + 'and datetime>=' + day_before
length = len(cur.execute(sql).fetchall())
if length <= 0:
return False
else:
cur.execute(sql1)
origin = cur.fetchall()
for row in origin:
find_id.append(row[0])
find_name.append(row[1])
find_datetime.append(row[2])
find_late.append(row[3])
return True
pass
def save_route1(self, event):
global Folderpath1
root = tk.Tk()
root.withdraw()
Folderpath1 = filedialog.askdirectory() # 获得选择好的文件夹
pass
def save_route2(self, event):
global Folderpath2
root = tk.Tk()
root.withdraw()
Folderpath2 = filedialog.askdirectory() # 获得选择好的文件夹
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() - det.left()
h = det.top() - det.bottom()
if w * h > maxArea:
biggest_face = det
maxArea = w * h
# 绘制矩形框
cv2.rectangle(im_rd, tuple([biggest_face.left(), biggest_face.top()]),
tuple([biggest_face.right(), biggest_face.bottom()]),
(255, 0, 0), 2)
img_height, img_width = im_rd.shape[:2]
image1 = cv2.cvtColor(im_rd, cv2.COLOR_BGR2RGB)
pic = wx.Bitmap.FromBuffer(img_width, img_height, image1)
# 显示图片在panel上
self.bmp.SetBitmap(pic)
# 获取当前捕获到的图像的所有人脸的特征,存储到 features_cap_arr
shape = predictor(im_rd, biggest_face)
features_cap = facerec.compute_face_descriptor(im_rd, shape)
# 对于某张人脸,遍历所有存储的人脸特征
for i, knew_face_feature in enumerate(self.knew_face_feature):
# 将某张人脸与存储的所有人脸数据进行比对
compare = return_euclidean_distance(features_cap, knew_face_feature)
if compare == "same": # 找到了相似脸
self.infoText.AppendText(self.getDateAndTime() + "工号:" + str(self.knew_id[i])
+ " 姓名:" + self.knew_name[i] + " 的人脸数据已存在\r\n")
self.flag_registed = True
self.OnFinishRegister()
_thread.exit()
face_height = biggest_face.bottom() - biggest_face.top()
face_width = biggest_face.right() - biggest_face.left()
im_blank = np.zeros((face_height, face_width, 3), np.uint8)
try:
for ii in range(face_height):
for jj in range(face_width):
im_blank[ii][jj] = im_rd[biggest_face.top() + ii][biggest_face.left() + jj]
if len(self.name) > 0:
cv2.imencode('.jpg', im_blank)[1].tofile(
PATH_FACE + self.name + "/img_face_" + str(self.pic_num) + ".jpg") # 正确方法
self.pic_num += 1
print("写入本地:", str(PATH_FACE + self.name) + "/img_face_" + str(self.pic_num) + ".jpg")
self.infoText.AppendText(
self.getDateAndTime() + "图片:" + str(PATH_FACE + self.name) + "/img_face_" + str(
self.pic_num) + ".jpg保存成功\r\n")
except:
print("保存照片异常,请对准摄像头")
if self.new_register.IsEnabled():
_thread.exit()
if self.pic_num == 30:
self.OnFinishRegister()
_thread.exit()
def OnNewRegisterClicked(self, event):
self.new_register.Enable(False)
self.finish_register.Enable(True)
self.loadDataBase(1)
while self.id == ID_WORKER_UNAVIABLE:
self.id = wx.GetNumberFromUser(message="请输入您的工号(-1不可用)",
prompt="工号", caption="温馨提示",
value=ID_WORKER_UNAVIABLE,
parent=self.bmp, max=100000000, min=ID_WORKER_UNAVIABLE)
for knew_id in self.knew_id:
if knew_id == self.id:
self.id = ID_WORKER_UNAVIABLE
wx.MessageBox(message="工号已存在,请重新输入", caption="警告")
while self.name == '':
self.name = wx.GetTextFromUser(message="请输入您的的姓名,用于创建姓名文件夹",
caption="温馨提示",
default_value="", parent=self.bmp)
# 监测是否重名
for exsit_name in (os.listdir(PATH_FACE)):
if self.name == exsit_name:
wx.MessageBox(message="姓名文件夹已存在,请重新输入", caption="警告")
self.name = ''
break
os.makedirs(PATH_FACE + self.name)
_thread.start_new_thread(self.register_cap, (event,))
pass
def OnFinishRegister(self):
self.new_register.Enable(True)
self.finish_register.Enable(False)
self.cap.release()
self.bmp.SetBitmap(wx.Bitmap(self.pic_index))
if self.flag_registed == True:
dir = PATH_FACE + self.name
for file in os.listdir(dir):
os.remove(dir + "/" + file)
print("已删除已录入人脸的图片", dir + "/" + file)
os.rmdir(PATH_FACE + self.name)
print("已删除已录入人脸的姓名文件夹", dir)
self.initData()
return
if self.pic_num > 0:
pics = os.listdir(PATH_FACE + self.name)
feature_list = []
feature_average = []
for i in range(len(pics)):
pic_path = PATH_FACE + self.name + "/" + pics[i]
print("正在读的人脸图像:", pic_path)
img = iio.imread(pic_path)
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
dets = detector(img_gray, 1)
if len(dets) != 0:
shape = predictor(img_gray, dets[0])
face_descriptor = facerec.compute_face_descriptor(img_gray, shape)
feature_list.append(face_descriptor)
else:
face_descriptor = 0
print("未在照片中识别到人脸")
if len(feature_list) > 0:
for j in range(128):
# 防止越界
feature_average.append(0)
for i in range(len(feature_list)):
feature_average[j] += feature_list[i][j]
feature_average[j] = (feature_average[j]) / len(feature_list)
self.insertARow([self.id, self.name, feature_average], 1)
self.infoText.AppendText(self.getDateAndTime() + "工号:" + str(self.id)
+ " 姓名:" + self.name + " 的人脸数据已成功存入\r\n")
pass
else:
os.rmdir(PATH_FACE + self.name)
print("已删除空文件夹", PATH_FACE + self.name)
self.initData()
def OnFinishRegisterClicked(self, event):
self.OnFinishRegister()
pass
def punchcard_cap(self, event):
# 调用设置上班时间的函数,根据当前时间和上班时间判断是否迟到
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
self.loadDataBase(5)
print("长度是")
print(len(working_times))
if len(working_times) == 0:
win32api.MessageBox(0, "您未设置上班时间,请先设置上班时间后再设置下班时间", "提醒", win32con.MB_ICONWARNING)
self.start_punchcard.Enable(True)
self.end_puncard.Enable(False)
else:
working = working_times[0]
print("-----------")
print(working)
offworking = offworking_times[0]
print("-----------")
print(offworking)
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() - det.left()
h = det.top() - det.bottom()
if w * h > maxArea:
biggest_face = det
maxArea = w * h
# 绘制矩形框
cv2.rectangle(im_rd, tuple([biggest_face.left(), biggest_face.top()]),
tuple([biggest_face.right(), biggest_face.bottom()]),
(255, 0, 255), 2)
img_height, img_width = im_rd.shape[:2]
image1 = cv2.cvtColor(im_rd, cv2.COLOR_BGR2RGB)
pic = wx.Bitmap.FromBuffer(img_width, img_height, image1)
# 显示图片在panel上
self.bmp.SetBitmap(pic)
# 获取当前捕获到的图像的所有人脸的特征,存储到 features_cap_arr
shape = predictor(im_rd, biggest_face)
features_cap = facerec.compute_face_descriptor(im_rd, shape)
# 对于某张人脸,遍历所有存储的人脸特征
for i, knew_face_feature in enumerate(self.knew_face_feature):
# 将某张人脸与存储的所有人脸数据进行比对
compare = return_euclidean_distance(features_cap, knew_face_feature)
if compare == "same": # 找到了相似脸
print("same")
flag = 0
nowdt = self.getDateAndTime()
for j, logcat_name in enumerate(self.logcat_name):
if logcat_name == self.knew_name[i] and nowdt[0:nowdt.index(" ")] == \
self.logcat_datetime[
j][
0:self.logcat_datetime[
j].index(" ")]:
self.infoText.AppendText(nowdt + "工号:" + str(self.knew_id[i])
+ " 姓名:" + self.knew_name[i] + " 签到失败,重复签到\r\n")
speak_info(self.knew_name[i] + " 签到失败,重复签到 ")
flag = 1
break
if flag == 1:
break
if nowdt[nowdt.index(" ") + 1:-1] <= working:
self.infoText.AppendText(nowdt + "工号:" + str(self.knew_id[i])
+ " 姓名:" + self.knew_name[i] + " 成功签到,且未迟到\r\n")
speak_info(self.knew_name[i] + " 成功签到 ")
self.insertARow([self.knew_id[i], self.knew_name[i], nowdt, "否"], 2)
elif offworking >= nowdt[nowdt.index(" ") + 1:-1] >= working:
self.infoText.AppendText(nowdt + "工号:" + str(self.knew_id[i])
+ " 姓名:" + self.knew_name[i] + " 成功签到,但迟到了\r\n")
speak_info(self.knew_name[i] + " 成功签到,但迟到了 ")
self.insertARow([self.knew_id[i], self.knew_name[i], nowdt, "是"], 2)
elif nowdt[nowdt.index(" ") + 1:-1] > offworking:
self.infoText.AppendText(nowdt + "工号:" + str(self.knew_id[i])
+ " 姓名:" + self.knew_name[i] + " 签到失败,超过签到时间\r\n")
speak_info(self.knew_name[i] + " 签到失败,超过下班时间 ")
self.loadDataBase(2)
break
if self.start_punchcard.IsEnabled():
self.bmp.SetBitmap(wx.Bitmap(self.pic_index))
_thread.exit()
def OnStartPunchCardClicked(self, event):
self.start_punchcard.Enable(False)
self.end_puncard.Enable(True)
self.loadDataBase(2)
threading.Thread(target=self.punchcard_cap, args=(event,)).start()
pass
def OnEndPunchCardClicked(self, event):
self.start_punchcard.Enable(True)
self.end_puncard.Enable(False)
pass
def initInfoText(self):
# 少了这两句infoText背景颜色设置失败,莫名奇怪
resultText = wx.StaticText(parent=self, pos=(10, 20), size=(90, 60))
resultText.SetBackgroundColour(wx.GREEN)
# resultText.SetBackgroundColour((12,12,12))
self.info = "\r\n" + self.getDateAndTime() + "程序初始化成功\r\n"
# 第二个参数水平混动条
self.infoText = wx.TextCtrl(parent=self, size=(320, 500),
style=(wx.TE_MULTILINE | wx.HSCROLL | wx.TE_READONLY))
# 前景色,也就是字体颜色
self.infoText.SetForegroundColour('Black')
self.infoText.SetLabel(self.info)
font = wx.Font()
font.SetPointSize(12)
font.SetWeight(wx.BOLD)
font.SetUnderlined(True)
self.infoText.SetFont(font)
self.infoText.SetBackgroundColour('WHITE')
pass
def initGallery(self):
self.pic_index = wx.Image("drawable/index.png", wx.BITMAP_TYPE_ANY).Scale(600, 500)
self.bmp = wx.StaticBitmap(parent=self, pos=(320, 0), bitmap=wx.Bitmap(self.pic_index))
pass
def getDateAndTime(self):
dateandtime = strftime("%Y-%m-%d %H:%M:%S", localtime())
return "[" + dateandtime + "]"
# 数据库部分
# 初始化数据库
def initDatabase(self):
conn = sqlite3.connect("inspurer.db") # 建立数据库连接
cur = conn.cursor() # 得到游标对象
cur.execute('''create table if not exists worker_info
(name text not null,
id int not null primary key,
face_feature array not null)''')
cur.execute('''create table if not exists logcat
(datetime text not null,
id int not null,
name text not null,
late text not null)''')
cur.execute('''create table if not exists time
(id int
constraint table_name_pk
primary key,
working_time time not null,
offwork_time time not null)''')
cur.close()
conn.commit()
conn.close()
def adapt_array(self, arr):
out = io.BytesIO()
np.save(out, arr)
out.seek(0)
dataa = out.read()
# 压缩数据流
return sqlite3.Binary(zlib.compress(dataa, zlib.Z_BEST_COMPRESSION))
def convert_array(self, text):
out = io.BytesIO(text)
out.seek(0)
dataa = out.read()
# 解压缩数据流
out = io.BytesIO(zlib.decompress(dataa))
return np.load(out)
def insertARow(self, Row, type):
conn = sqlite3.connect("inspurer.db") # 建立数据库连接
cur = conn.cursor() # 得到游标对象
if type == 1:
cur.execute("insert into worker_info (id,name,face_feature) values(?,?,?)",
(Row[0], Row[1], self.adapt_array(Row[2])))
print("写人脸数据成功")
if type == 2:
cur.execute("insert into logcat (id,name,datetime,late) values(?,?,?,?)",
(Row[0], Row[1], Row[2], Row[3]))
print("写日志成功")
pass
cur.close()
conn.commit()
conn.close()
pass
def loadDataBase(self, type):
nowday = self.getDateAndTime()
day = nowday[0:nowday.index(" ")]
print(day)
global logcat_id, logcat_name, logcat_datetime, logcat_late, working_times, offworking_times
conn = sqlite3.connect("inspurer.db") # 建立数据库连接
cur = conn.cursor() # 得到游标对象
if type == 1:
self.knew_id = []
self.knew_name = []
self.knew_face_feature = []
cur.execute('select id,name,face_feature from worker_info')
origin = cur.fetchall()
for row in origin:
print(row[0])
self.knew_id.append(row[0])
print(row[1])
self.knew_name.append(row[1])
print(self.convert_array(row[2]))
self.knew_face_feature.append(self.convert_array(row[2]))
if type == 2:
self.logcat_id = []
self.logcat_name = []
self.logcat_datetime = []
self.logcat_late = []
cur.execute('select id,name,datetime,late from logcat')
origin = cur.fetchall()
for row in origin:
print(row[0])
self.logcat_id.append(row[0])
print(row[1])
self.logcat_name.append(row[1])
print(row[2])
self.logcat_datetime.append(row[2])
print(row[3])
self.logcat_late.append(row[3])
if type == 3:
logcat_id = []
logcat_name = []
logcat_datetime = []
logcat_late = []
s = "'"
sql = 'select w.id,w.name,l.datetime,l.late from worker_info w left join logcat l on w.id=l.id and l.datetime like' + ' ' + s + day + '%' + s + ' ' + 'order by datetime desc'
print(sql)
cur.execute(sql)
origin = cur.fetchall()
for row in origin:
print(row[0])
logcat_id.append(row[0])
print(row[1])
logcat_name.append(row[1])
print(row[2])
logcat_datetime.append(row[2])
print(row[3])
logcat_late.append(row[3])
if type == 4:
sql = 'select working_time from time'
cur.execute(sql)
countResult = (cur.fetchall())
print(countResult)
str = "'"
if not countResult:
sql = 'insert into time (id,working_time,offworking_time) values (1,' + str + working + str + ',' + str + offworking + str + ')'
cur.execute(sql)
print(sql)
conn.commit()
print("插入时间成功")
else:
str="'"
sql = 'update time set working_time=' + str + working + str + ',offworking_time=' + str + offworking + str + ' where id=1'
cur.execute(sql)
conn.commit()
print(sql)
print("更新时间成功")
if type==5:
sql = 'select working_time,offworking_time from time'
cur.execute(sql)
print(sql)
origin = cur.fetchall()
print(origin)
working_times = []
offworking_times = []
for row in origin:
print("这是数据库取出的上班时间")
print(row[0])
working_times.append(row[0])
print("这是数据库取出的下班时间")
print(row[1])
offworking_times.append(row[1])
cur.close()
conn.commit()
conn.close()
pass
app = wx.App()
frame = WAS()
frame.Show()
app.MainLoop()
来源:https://github.com/king-xw/Face_Recogntion


猜你喜欢
- 有这样一个要求,它要创建一个SQL Server查询,其中包括基于事件时刻的累计值。典型的例子就是一个银行账户,因为你每一次都是在不同的时间
- 方法1:只保存模型的权重和偏置这种方法不会保存整个网络的结构,只是保存模型的权重和偏置,所以在后期恢复模型之前,必须手动创建和之前模型一模一
- 数组使用简介原文地址:30 Days of Mootools 1.2 Tutorials - Day 3 - Intro to Using
- 在我们关于SQL服务器安全系列的这文章里,我们的目标是向你提供安全安装SQL服务器所需要的工具和信心,这样的话,你有价值的数据就会受到保护,
- PyCharm是Python著名的Python集成开发环境(IDE)conda有Miniconda和Anaconda,前者应该是类似最小化版
- Vue设置反向代理和cookie设置项目场景最近使用Vue开发一个新的项目,因为服务器还没到,调取后端本地接口,因为请求接口的时候没有跨域,
- 前言:在软件测试中,为项目编写接口自动化用例已成为测试人员常驻的测试工作。本文以python为例,基于笔者曾使用过的三种用例数据读取方法:x
- 实例如下:String.prototype.trim = function (char, type) { if (char) {
- 一提到数字图像处理,可能大多数人就会想到matlab,但matlab也有自身的缺点:1、不开源,价格贵2、软件容量大。一般3G以上,高版本甚
- 本文实例讲述了javascript正则表达式模糊匹配IP地址功能。分享给大家供大家参考,具体如下:function checkip() {
- 如何进行 Python 性能优化,是本文探讨的主要问题。本文会涉及常见的代码优化方法,性能优化工具的使用以及如何诊断代码的性能瓶颈等内容,希
- 用python实现的一个井字棋游戏,供大家参考,具体内容如下#Tic-Tac-Toe 井字棋游戏#全局常量X="X"O=
- Mysql 查询缓存 查询缓存的作用就是当查询接收到一个和之前同样的查询,服务器将会从查询缓存种检索结果,而不是再次分析和执行上次的查询。这
- 三、支持XML的公司和它们的开发工具 尽管XML还处在开发阶段,其标准正在由W3C组织制定,但是已经有许多公司表示全力支持XML,并开发了不
- 如果用户输入的是直接插入到一个SQL语句中的查询,应用程序会很容易受到SQL注入,例如下面的例子:$unsafe_variable = $_
- 问题1:如果日期中有千年以前的情况(没法用格式化函数),如('2010-11-23','1989-3-7',
- JSON 格式字段是 Mysql 5.7 新加的属性,不够它本质上以字符串性质保存在库中的,刚接触时我只了解 $.xx 查询字段的方法,因为
- 目标在本章中,将了解:如何生成OpenCV-Python bindings如何将新的OpenCV模块扩展到PythonOpenCV-Pyth
- 更轻量- 出色的颗粒化模块,子模块划分;- 延迟加载;- 强调代码重用(公共基类、插件、扩展);更易用- 统一的API;- 便利(each,
- 一、手指触屏,利用touchstart和touchend计算前后滑动距离,判断是上拉还是下滑。二、js中距离:pageY、clientY、o