python实现的基于人脸识别的图书馆推荐系统（可作为毕业设计期末大作业）.zip

# -*- coding: utf-8 -*- """ Module implementing MainWindow. """ import sys sys.path.append('./CustomTitlebar') from PyQt5.QtCore import pyqtSlot from PyQt5.QtWidgets import QMainWindow from PyQt5 import QtCore, QtGui, QtWidgets from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from Ui_face_book import Ui_MainWindow #import threadpool #import time #import threading #import dlib import cv2 from facecompare import Face from SqlOperator import SqlOperator from information import Information from book_detial import Book_detial from CameraThread import VideoThread from RecomThread import RecomThread import random from PyQt5.QtGui import QImage from Styles.CommonHelper import CommonHelper class MainWindow(QMainWindow, Ui_MainWindow, QThread): """ Class documentation goes here. """ #PictureFrame = pyqtSignal(int) def book_detial_1(self, item): self.book_detial = Book_detial(item) self.__book_detial = CommonHelper.FrameCustomerTitle(self.book_detial, "图书详情界面") self.__book_detial.move(160, 100) self.__book_detial.resize(850, 660) self.__book_detial.show() def __init__(self, parent=None,): super(MainWindow, self).__init__(parent) self.setupUi(self) #item1=None #导入外部定义的Class self.Face = Face() self.SqlOperator = SqlOperator() self.information = Information() self.cameraThread = VideoThread() self.recomThread = RecomThread() self.ret = '' self.num ='' #self.major = '' #self.infor_img = [] # self.git_thread = CloneThread() self.__information = CommonHelper.FrameCustomerTitle(self.information, "信息采集界面") self.__information.move(160, 110) self.__information.resize(765, 443) # self.book_infor = Book_infor(self.item) # self.__book_infor = CommonHelper.FrameCustomerTitle(self.book_infor, "图书详情界面") # self.__book_infor.move(160, 100) # self.__book_infor.resize(850, 660) self.QMessageBox = QtWidgets.QMessageBox() self.icon = QtGui.QIcon() #设置图标 self.item = QtWidgets.QListWidgetItem() self.font = QtGui.QFont() #设置字体 self.font.setPointSize(12) self.Logopic()#logo图片 #显示时间 timer = QTimer(self) timer.timeout.connect(self.showtime) timer.start() # self.openCamera.clicked.connect(self.OpenCamera) # self.cameraThread.VideoFrame.connect(self.Fresh_Video)#Video_Thread线程开启后捕捉摄像头调用Fresh_Video刷新界面 # self.cameraThread.OpenVideoFlag.connect(self.Un_Open_Camera) #开启摄像头失败触发Un_Open_Camera函数 #logo图片 def Logopic(self): Im = cv2.imread('D:\\Face_book\\logo.png') # 通过Opencv读入一张图片 image_height, image_width= Im.shape[:2] # 获取图像的高，宽 QIm = cv2.cvtColor(Im, cv2.COLOR_BGR2RGB) # opencv读图片是BGR，qt显示要RGB，所以需要转换一下 QIm = QImage(QIm.data, image_width, image_height, QImage.Format_RGB888) self.LogoLabel.setScaledContents(True)#图片自适应大小 self.LogoLabel.setPixmap(QPixmap.fromImage(QIm)) # 将QImage显示在之前创建的QLabel控件中 #视频区初始化图片 self.CameraLabel.setScaledContents(True)#图片自适应大小 self.CameraLabel.setPixmap(QPixmap.fromImage(QIm)) #显示时间 def showtime(self): now = QDate.currentDate() data = now.toString(Qt.DefaultLocaleLongDate)#2018年10月5日 time_1 = QTime.currentTime() time_1 = time_1.toString(Qt.DefaultLocaleLongDate)#10:36:35 self.time_label.setText(data + time_1) # def OpenCamera(self): # #打开摄像头 # global t # #isopend=1 # # self.cap = cv2.VideoCapture() # if (not self.cap.isOpened()): # self.cap.open(0) # self.cap.set(3, 500) # self.cap.set(4, 600) # #isopend=0 # #self.PictureFrame.emit(isopend) ## pool = threadpool.ThreadPool(10) ## requests = threadpool.makeRequests(self.Show_img, ()) ## [pool.putRequest(req) for req in requests] ## pool.wait() # t =threading.Thread(target=self.Show_img,args=()) # t.start() # ## #获取当前帧图片 # def Show_img(self): # while True: # # QtCore.QCoreApplication.processEvents() # time.sleep(0.001) # self.ret, self.imread_img = self.cap.read() # rert_1, self.infor_img = self.cap.read() # if not self.ret: # print('error: failed to capture image') # return -1 # # self.detectorface() # # height, width= self.imread_img.shape[:2] # self.input_img = cv2.cvtColor(self.imread_img, cv2.COLOR_BGR2RGB) # self.show_pic = QImage(self.input_img.data, width, height, QImage.Format_RGB888) # self.CameraLabel.setScaledContents(True)#图片自适应大小 # #self.label_show_camera.setGeometry(0, 0, 241, 211)#图片显示的位置（最左上角的点+大小） # # 转为QImage对象 # self.CameraLabel.setPixmap(QPixmap.fromImage(self.show_pic)) # # def detectorface(self): # self.detector = dlib.get_frontal_face_detector() # img_gray = cv2.cvtColor(self.imread_img, cv2.COLOR_RGB2GRAY) # faces = self.detector(img_gray, 0) # # faces = facecompare.Face.detect(self.input_img) # if (len(faces) != 0): # # for i in range(len(faces)): # for k, d in enumerate(faces): # # 用红色矩形框出人脸 # cv2.rectangle(self.imread_img, (d.left(), d.top()), (d.right(), d.bottom()), (0, 0, 255), 3) def OpenCamera(self): if not self.cameraThread.isRunning(): self.cameraThread.start() self.openCamera.setText("关闭摄像头") else: self.cameraThread.Stop_Video() self.Logopic() def Fresh_Video(self,show_pic): self.CameraLabel.setScaledContents(True)#图片自适应大小 self.CameraLabel.setPixmap(QPixmap.fromImage(show_pic)) #self.VideoLabel.setPixmap(QPixmap.fromImage(qImg)) def Un_Open_Camera(self,bool): QtWidgets.QMessageBox.warning(self,"警告","打开摄像头失败") #self.openCamera.setText("打开摄像头") def start_recomThread(self): if not self.recomThread.start(): self.recomThread.start() def start_gidentify(self): #self.recomThread.start() self.num, score= self.recomThread.gidentify() print(self.num) print(score) if(self.num ==-1 and score == -1): self.QMessageBox.warning(self, '警告', '未检测到人脸，请检查网络连接或靠近识别') return 0 if(self.num != -1 and score > 0.80): result = self.recomThread.info_gidentify(self.num)#读取数据库信息 #print(result) if result == None: self.QMessageBox.warning(self, '警告', '数据库可能没有您的数据或者靠近再次识别') else: self.Name_label.setText(result[2]) self.Num_label.setText(result[3]) self.Class_label.setText(result[5]) self.Major_label.setText(result[4])