基于pyqt+OpenCV设计的用户密码或人脸识别登录GUI程序设计

骑猪看日落 2022-01-21 23:33 308阅读 0赞

> 开发环境：
> 
>  *  Windows7 64位
>  *  python3.7
>  *  pyqt5
>  *  pycharm
>  *  OpenCV3.4
>  *  QT Designer
>  *  PyUIC

**目录**

功能介绍

程序代码

软件截图

--------------------

#  功能介绍 #

该程序主要在pycharm中开发，导入至pycharm里的外部工具有QT Designer和PyUIC。其中QT Designer用于GUI布局，PyUIC用于将ui文件转换为.py可执行文件。完整的程序包可点击[资料包][Link 1]**下载**。在这里简单介绍程序的执行步骤或功能，并附上相关截图。

首先启动程序，进入登录界面，包括用户名密码登录方式和人脸识别登录方式。关于用户名登录方式，用户名来自人脸识别信息录入的人名，密码是存储在一个password.txt文本中。这种登录方式会有用户名不存在提示、密码错误提示，若登录成功，则会弹出“请编写主程序的对话框”，当然读者也可以编写自定义程序。

而关于人脸识别登录，有两个按钮：“人脸信息录入按钮”和“人脸识别登录”按钮。进入“人脸信息录入按钮”后，要求输入用户名，然后点击“确认”按钮，进行人脸数据采集、人脸模型训练、最后弹出“人脸信息录入成功”消息框。

> 温馨提示：
> 
> 输入的用户名将保存在user\_names.txt文本中，并以逗号隔开。人脸数据采集，小编设置的为150张图片。

点击“人脸识别登录”按钮，则会弹出人脸识别窗口，并在人脸框的左上角显示识别到的人物所对应的序号（由于OpenCV显示汉字比较麻烦，所以这里选择人名所对应的序号作为识别结果），在人脸框的左下角显示识别结果的置信度。

> 人脸识别程序设计：
> 
> 如果识别置信度大于60%，则为识别成功，并退出人脸识别界面，弹出“欢迎您：人名”对话框。如果识别不出来，则等待10秒左右退出识别界面，并弹出“人脸识别失败”对话框。

> 注意：
> 
> 登录界面的布局设计是在QT Designer中完成，在转成.py文件后，需要对程序作一些修改和补充，以满足实际开发需求，比如：类申明中，object需要改成QWidget，否则不能弹出QMessageBox消息对话框。

# 程序代码 #

下面给出完整的程序，主要由三个程序组成：login.py、faces\_input\_frame.py和face\_recognize.py。

# -*- coding: utf-8 -*-
    #login.py程序
    from PyQt5 import QtCore, QtGui, QtWidgets
    from PyQt5.QtWidgets import QMessageBox,QWidget
    from faces_input_frame import Ui_Dialog
    import os
    
    
    class Ui_Form(QWidget):  #将object改为QWidget，才能弹出消息对话框
        def __init__(self):
            super(Ui_Form,self).__init__() #用户添加代码
        def setupUi(self, Form):
            self.form=Form  #用户添加代码
            Form.setObjectName("Form")
            Form.setMinimumSize(QtCore.QSize(329, 230))
            Form.setMaximumSize(QtCore.QSize(400, 230))
            Form.setStyleSheet("")
            self.label = QtWidgets.QLabel(Form)
            self.label.setGeometry(QtCore.QRect(63, 43, 64, 16))
            font = QtGui.QFont()
            font.setPointSize(12)
            self.label.setFont(font)
            self.label.setObjectName("label")
            self.label_2 = QtWidgets.QLabel(Form)
            self.label_2.setGeometry(QtCore.QRect(63, 80, 48, 16))
            font = QtGui.QFont()
            font.setPointSize(12)
            self.label_2.setFont(font)
            self.label_2.setObjectName("label_2")
            self.lineEdit_2 = QtWidgets.QLineEdit(Form)
            self.lineEdit_2.setGeometry(QtCore.QRect(121, 80, 133, 20))
            self.lineEdit_2.setEchoMode(QtWidgets.QLineEdit.Password)
            self.lineEdit_2.setCursorPosition(0)
            self.lineEdit_2.setObjectName("lineEdit_2")
            self.pushButton = QtWidgets.QPushButton(Form)
            self.pushButton.setGeometry(QtCore.QRect(70, 150, 75, 23))
            font = QtGui.QFont()
            font.setPointSize(12)
            self.pushButton.setFont(font)
            self.pushButton.setObjectName("pushButton")
            self.pushButton_2 = QtWidgets.QPushButton(Form)
            self.pushButton_2.setGeometry(QtCore.QRect(170, 150, 75, 23))
            font = QtGui.QFont()
            font.setPointSize(12)
            self.pushButton_2.setFont(font)
            self.pushButton_2.setObjectName("pushButton_2")
            self.checkBox = QtWidgets.QCheckBox(Form)
            self.checkBox.setGeometry(QtCore.QRect(63, 110, 151, 20))
            font = QtGui.QFont()
            font.setPointSize(12)
            self.checkBox.setFont(font)
            self.checkBox.setObjectName("checkBox")
            self.lineEdit_3 = QtWidgets.QLineEdit(Form)
            self.lineEdit_3.setGeometry(QtCore.QRect(121, 41, 133, 20))
            self.lineEdit_3.setObjectName("lineEdit_3")
            self.pushButton_face_pass = QtWidgets.QPushButton(Form)
            self.pushButton_face_pass.setGeometry(QtCore.QRect(279, 100, 104, 41))
            self.pushButton_face_pass.setMaximumSize(QtCore.QSize(16777215, 16777213))
            font = QtGui.QFont()
            font.setPointSize(12)
            self.pushButton_face_pass.setFont(font)
            self.pushButton_face_pass.setObjectName("pushButton_face_pass")
            self.pushButton_face_input = QtWidgets.QPushButton(Form)
            self.pushButton_face_input.setGeometry(QtCore.QRect(280, 31, 104, 41))
            self.pushButton_face_input.setMaximumSize(QtCore.QSize(16777215, 16777213))
            font = QtGui.QFont()
            font.setPointSize(12)
            self.pushButton_face_input.setFont(font)
            self.pushButton_face_input.setObjectName("pushButton_face_input")
    
            self.retranslateUi(Form)
            self.pushButton.clicked.connect(self.close)
            self.pushButton_2.clicked.connect(self.open)
            self.pushButton_face_input.clicked.connect(self.faceinput)
            self.pushButton_face_pass.clicked.connect(self.facepass)
    
        def retranslateUi(self, Form):
            _translate = QtCore.QCoreApplication.translate
            Form.setWindowTitle(_translate("Form", "Form"))
            self.label.setText(_translate("Form", "用户名："))
            self.label_2.setText(_translate("Form", "密码："))
            self.pushButton.setText(_translate("Form", "取消"))
            self.pushButton_2.setText(_translate("Form", "确认"))
            self.checkBox.setText(_translate("Form", "记住用户名和密码"))
            self.pushButton_face_pass.setText(_translate("Form", "人脸识别登录"))
            self.pushButton_face_input.setText(_translate("Form", "人脸信息录入"))
    
        def open(self):
            #--------判断用户是否存在--------------
            fl = open('user_names.txt', 'r+')
            pre_name = fl.read()
            names = pre_name.split(',')
            fl.close()
            if self.lineEdit_3.text() in names:
                fl = open('password.txt', 'r+')
                password= fl.read()
                if self.lineEdit_2.text() ==password:
                    reply=QMessageBox.information(self,'提示','请编写主程序',QMessageBox.Close)
                else:
                    reply=QMessageBox.information(self,'提示','密码错误',QMessageBox.Close)
    
    
            else:
                reply=QMessageBox.information(self,'提示','用户不存在',QMessageBox.Close)
    
    
        def close(self, event):
            self.close()
        def faceinput(self,event):
            self.form.hide()
            Form1=QtWidgets.QDialog()
            ui=Ui_Dialog()
            ui.setupUi(Form1)
            Form1.show()
            Form1.exec_()
            self.form.show()   #子窗口关闭后，主窗口显示
    
    
        def facepass(self,event):
            import face_recognize
            get_name=face_recognize.recognize_face()#返回识别的人名
            if get_name=="unknown":
                reply = QMessageBox.information(self, '提示', '人脸识别失败', QMessageBox.Close)
            else:
                reply = QMessageBox.information(self, '提示', "欢迎您："+get_name, QMessageBox.Ok)
                print("编写其他程序")
    
    
    if __name__=="__main__":
        import sys
        app=QtWidgets.QApplication(sys.argv)
        widget=QtWidgets.QWidget()
        ui=Ui_Form()
        ui.setupUi(widget)
        widget.show()
        sys.exit(app.exec_())

# -*- coding: utf-8 -*-
    #faces_input_frame.py程序
    # Form implementation generated from reading ui file 'faces_input_frame.ui'
    #
    # Created by: PyQt5 UI code generator 5.12.2
    #
    # WARNING! All changes made in this file will be lost!
    import face_recognize
    from PyQt5 import QtCore, QtGui, QtWidgets
    from PyQt5.QtWidgets import QMessageBox,QWidget
    class Ui_Dialog(QWidget):
        def setupUi(self, Dialog):
            self.form=Dialog #用户添加代码
            Dialog.setObjectName("Dialog")
            Dialog.resize(315, 104)
            Dialog.setMinimumSize(QtCore.QSize(315, 104))
            Dialog.setMaximumSize(QtCore.QSize(315, 104))
            Dialog.setAutoFillBackground(False)
            self.Button_Enter = QtWidgets.QPushButton(Dialog)
            self.Button_Enter.setGeometry(QtCore.QRect(221, 21, 75, 27))
            font = QtGui.QFont()
            font.setPointSize(14)
            self.Button_Enter.setFont(font)
            self.Button_Enter.setObjectName("Button_Enter")
            self.Button_Exit=QtWidgets.QPushButton(Dialog)
            self.Button_Exit.setGeometry(QtCore.QRect(221, 54, 75, 27))
            font = QtGui.QFont()
            font.setPointSize(14)
            self.Button_Exit.setFont(font)
            self.Button_Exit.setObjectName("Button_Exit")
            self.face_name=QtWidgets.QLabel(Dialog)
            self.face_name.setGeometry(QtCore.QRect(40, 20, 131, 16))
            font = QtGui.QFont()
            font.setPointSize(12)
            self.face_name.setFont(font)
            self.face_name.setObjectName("face_name")
            self.face_name_frame=QtWidgets.QLineEdit(Dialog)
            self.face_name_frame.setGeometry(QtCore.QRect(30, 40, 167, 31))
            font = QtGui.QFont()
            font.setPointSize(12)
            self.face_name_frame.setFont(font)
            self.face_name_frame.setText("")
            self.face_name_frame.setObjectName("face_name_frame")
    
            self.retranslateUi(Dialog)
            self.Button_Enter.clicked.connect(self.Enter)
            self.Button_Exit.clicked.connect(self.ext)
        def retranslateUi(self, Dialog):
            _translate = QtCore.QCoreApplication.translate
            Dialog.setWindowTitle(_translate("Dialog", "Dialog"))
            self.Button_Enter.setText(_translate("Dialog", "确认"))
            self.Button_Exit.setText(_translate("Dialog", "退出"))
            self.face_name.setText(_translate("Dialog", "请输入您的姓名："))
    
        def Enter(self):
            fl = open('user_names.txt','a+')
            if self.face_name_frame.text()=="":
                #输入为空时
                reply = QMessageBox.information(self, '提示', '请输入有效用户名', QMessageBox.Ok)
            else:
                fl.write(self.face_name_frame.text()+',')
                fl.close()
    
                reply = QMessageBox.information(self, '提示', '正在采集人脸数据', QMessageBox.Ok)
                face_recognize.Collect_faces()
                reply = QMessageBox.information(self, '提示', '正在训练数据', QMessageBox.Ok)
                face_recognize.Training_faces()
                reply = QMessageBox.information(self, '提示', '人脸信息录入成功', QMessageBox.Ok)
    
    
        def ext(self,event):
            self.form.close()
    
    
    if __name__ == "__main__":
        import sys
        app=QtWidgets.QApplication(sys.argv)
        Dialog=QtWidgets.QDialog()
        ui = Ui_Dialog()
        ui.setupUi(Dialog)
        Dialog.show()
        sys.exit(app.exec_())

# -*- coding: utf-8 -*-
    #face_recognize.py程序
    def Collect_faces():
        import cv2
        import os
        # 调用笔记本内置摄像头，所以参数为0，如果有其他的摄像头可以调整参数为1，2
    
        cap = cv2.VideoCapture(0)
    
        face_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
    
        fl = open('user_names.txt', 'r+')
        pre_name=fl.read()
        name = pre_name.split(',')
        face_id=len(name) - 2#去掉逗号及以零开始的序号，表示某人的一些列照片
        fl.close()
        #face_id = input('\n enter user id:')  #输入序号，表示某人的一些列照片
    
        print('\n Initializing face capture. Look at the camera and wait ...')
    
        count = 0
    
        while True:
    
            # 从摄像头读取图片
    
            sucess, img = cap.read()
    
            # 转为灰度图片
    
            gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    
            # 检测人脸
    
            faces = face_detector.detectMultiScale(gray, 1.3, 5)
    
            for (x, y, w, h) in faces:
                cv2.rectangle(img, (x, y), (x + w, y + w), (255, 0, 0))
                count += 1
    
                # 保存图像,从原始照片中截取人脸尺寸
                cv2.imwrite("Facedata/User." +str(face_id) + '.' + str(count) + '.jpg', gray[y: y + h, x: x + w])
    
                cv2.imshow('image', img)
    
            # 保持画面的持续。
    
            k = cv2.waitKey(1)
    
            if k == 27:  # 通过esc键退出摄像
                break
    
            elif count >=150:  # 得到150个样本后退出摄像
                break
    
        # 关闭摄像头
        cap.release()
        cv2.destroyAllWindows()
    
    def Training_faces():
        import numpy as np
        from PIL import Image
        import os
        import cv2
        # 人脸数据路径
        path = 'Facedata'
    
        recognizer = cv2.face.LBPHFaceRecognizer_create()
        detector = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
    
        def getImagesAndLabels(path):
            imagePaths = [os.path.join(path, f) for f in os.listdir(path)]  # join函数的作用？
            faceSamples = []
            ids = []
            for imagePath in imagePaths:
                PIL_img = Image.open(imagePath).convert('L')  # convert it to grayscale
                img_numpy = np.array(PIL_img, 'uint8')
                id = int(os.path.split(imagePath)[-1].split(".")[1])
                faces = detector.detectMultiScale(img_numpy)
                for (x, y, w, h) in faces:
                    faceSamples.append(img_numpy[y:y + h, x: x + w])
                    ids.append(id)
            return faceSamples, ids
    
        print('Training faces. It will take a few seconds. Wait ...')
        faces, ids = getImagesAndLabels(path)
        recognizer.train(faces, np.array(ids))
    
        recognizer.write(r'face_trainer\trainer.yml')
        print("{0} faces trained. Exiting Program".format(len(np.unique(ids))))
    
    def recognize_face():
        #识别时间10秒；如果置信度大于60%，则识别成功并退出界面；否则至10秒后识别失败并退出
        import cv2
        recognizer = cv2.face.LBPHFaceRecognizer_create()
        recognizer.read('face_trainer/trainer.yml')
        cascadePath = "haarcascade_frontalface_default.xml"
        faceCascade = cv2.CascadeClassifier(cascadePath)
        font = cv2.FONT_HERSHEY_SIMPLEX
        idnum =None #初始化识别序号
        fl = open('user_names.txt', 'r+')
        pre_name = fl.read()
        names = pre_name.split(',')
    
        cam = cv2.VideoCapture(0)
        minW = 0.1 * cam.get(3)
        minH = 0.1 * cam.get(4)
        time=0
        while True:
            result = "unknown"   #初始化识别失败
            time+=1
            ret, img = cam.read()
            gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    
            faces = faceCascade.detectMultiScale(
                gray,
                scaleFactor=1.2,
                minNeighbors=5,
                minSize=(int(minW), int(minH))
            )
            face_num=None  #初始化人脸序号
    
            for (x, y, w, h) in faces:
                cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
                idnum, confidence = recognizer.predict(gray[y:y + h, x:x + w])
                if confidence>60: #60%的识别置信度
                    face_num=idnum
                    result= names[idnum]
                    confidence = "{0}%".format(round(100 - confidence))
                    cam.release()
                    cv2.destroyAllWindows()  #退出摄像头
                    return result
                else:
                    confidence = "{0}%".format(round(100 - confidence))
                cv2.putText(img, str(face_num), (x + 5, y - 5), font, 1, (0, 0, 255), 1)
                cv2.putText(img, str(confidence), (x + 5, y + h - 5), font, 1, (0, 0, 0), 1)
            cv2.imshow('camera', img)#弹出摄像头与否
            k = cv2.waitKey(1)
            if k == 27:
                break
            elif time>100:  # 大约10秒识别时间
                break
        cam.release()
        cv2.destroyAllWindows()
        return result   #返回识别结果：人名或“unknown”

# 软件截图 #

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3UwMTIxMzIzNDk_size_16_color_FFFFFF_t_70][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3UwMTIxMzIzNDk_size_16_color_FFFFFF_t_70 1][]

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3UwMTIxMzIzNDk_size_16_color_FFFFFF_t_70 2][]

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[Link 1]: https://download.csdn.net/download/u012132349/11225435
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3UwMTIxMzIzNDk_size_16_color_FFFFFF_t_70]: /images/20220122/2848de746a684392a5b47aea6772704b.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3UwMTIxMzIzNDk_size_16_color_FFFFFF_t_70 1]: /images/20220122/ed32e2c6e1fe4c2f96346aad5533a8fe.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3UwMTIxMzIzNDk_size_16_color_FFFFFF_t_70 2]: /images/20220122/ffa7b78905874669b7a7d77f491a8dca.png
[20190620200846841.PNG]: https://img-blog.csdnimg.cn/20190620200846841.PNG