PyQt4设计UI界面并添加简单功能【python+pyqt4+opencv】

学习python的过程中，了解到PyQt，加上先前用过OpenCV，自然就有了用PyQt设计UI界面，调用OpenCV函数实现功能的想法。

步骤：

1.  Qt designer 快速实现UI界面，并转换成 .py文件。

  

# -*- coding: utf-8 -*-# Form implementation generated from reading ui file 'client.ui'## Created by: PyQt4 UI code generator 4.11.4## WARNING! All changes made in this file will be lost!from PyQt4 import QtCore, QtGuitry:    _fromUtf8 = QtCore.QString.fromUtf8except AttributeError:    def _fromUtf8(s):        return stry:    _encoding = QtGui.QApplication.UnicodeUTF8    def _translate(context, text, disambig):        return QtGui.QApplication.translate(context, text, disambig, _encoding)except AttributeError:    def _translate(context, text, disambig):        return QtGui.QApplication.translate(context, text, disambig)class Ui_Dialog(object):    def setupUi(self, Dialog):        Dialog.setObjectName(_fromUtf8("Dialog"))        Dialog.resize(683, 417)        self.pushButton = QtGui.QPushButton(Dialog)        self.pushButton.setGeometry(QtCore.QRect(150, 70, 81, 31))        self.pushButton.setObjectName(_fromUtf8("pushButton"))        self.gridLayoutWidget = QtGui.QWidget(Dialog)        self.gridLayoutWidget.setGeometry(QtCore.QRect(100, 110, 181, 151))        self.gridLayoutWidget.setObjectName(_fromUtf8("gridLayoutWidget"))        self.gridLayout = QtGui.QGridLayout(self.gridLayoutWidget)        self.gridLayout.setObjectName(_fromUtf8("gridLayout"))        self.pushButton_3 = QtGui.QPushButton(self.gridLayoutWidget)        self.pushButton_3.setObjectName(_fromUtf8("pushButton_3"))        self.gridLayout.addWidget(self.pushButton_3, 1, 0, 1, 1)        self.pushButton_2 = QtGui.QPushButton(self.gridLayoutWidget)        self.pushButton_2.setObjectName(_fromUtf8("pushButton_2"))        self.gridLayout.addWidget(self.pushButton_2, 0, 0, 1, 1)        self.pushButton_4 = QtGui.QPushButton(self.gridLayoutWidget)        self.pushButton_4.setObjectName(_fromUtf8("pushButton_4"))        self.gridLayout.addWidget(self.pushButton_4, 2, 0, 1, 1)        self.pushButton_5 = QtGui.QPushButton(Dialog)        self.pushButton_5.setGeometry(QtCore.QRect(540, 310, 81, 31))        self.pushButton_5.setObjectName(_fromUtf8("pushButton_5"))        self.lcdNumber = QtGui.QLCDNumber(Dialog)        self.lcdNumber.setGeometry(QtCore.QRect(40, 360, 64, 23))        font = QtGui.QFont()        font.setFamily(_fromUtf8("新宋体"))        font.setPointSize(11)        font.setBold(True)        font.setWeight(75)        self.lcdNumber.setFont(font)        self.lcdNumber.setObjectName(_fromUtf8("lcdNumber"))        self.retranslateUi(Dialog)        QtCore.QObject.connect(self.pushButton_5, QtCore.SIGNAL(_fromUtf8("clicked()")), Dialog.close)        QtCore.QMetaObject.connectSlotsByName(Dialog)    def retranslateUi(self, Dialog):        Dialog.setWindowTitle(_translate("Dialog", "Client", None))        self.pushButton.setText(_translate("Dialog", "功能选择", None))        self.pushButton_3.setText(_translate("Dialog", "Face Detection", None))        self.pushButton_2.setText(_translate("Dialog", "Show Picture", None))        self.pushButton_4.setText(_translate("Dialog", "Eye Detetction", None))        self.pushButton_5.setText(_translate("Dialog", "退出", None))

2.  OpenCV实现功能。（这里以显示图片 ，人脸检测 和眼睛检测为例）

显示图片：

import cv2filename = './painting.jpg'def showPicture():    img = cv2.imread(filename)    cv2.namedWindow('Show Pictures')    cv2.imshow('Show Pictures', img)    if cv2.waitKey() == 27 & 0xff == ord("q"):        cv2.destroyAllWindows()if __name__ == '__main__':   showPicture()

人脸检测：

import cv2def faceDetect():    face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml')    camera = cv2.VideoCapture(0)    while (True):        ret, frame = camera.read()        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)        faces = face_cascade.detectMultiScale(gray, 1.3, 5)        for (x, y, w, h) in faces:            cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 0, 0), 2)        cv2.imshow('VideoFaceDetect', frame)        k = cv2.waitKey(1)        if k == ord("q"):                break    camera.release()    cv2.destroyAllWindows()if __name__ == '__main__':    faceDetect()

人眼检测：

import cv2def eyeDetect():    eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')    camera = cv2.VideoCapture(0)    while (True):        ret, frame = camera.read()        gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)        eyes = eye_cascade.detectMultiScale(gray, 1.3, 5, 0, (40, 40))        for (ex, ey, ew, eh) in eyes:            cv2.rectangle(frame, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2)        cv2.imshow('VideoFaceDetect', frame)        k = cv2.waitKey(1)        if k == ord("q"):                break    camera.release()    cv2.destroyAllWindows()if __name__ == '__main__':    eyeDetect()

3.  二者结合

# -*- coding: utf-8 -*-from showpicture import *from facedetect import *from eyedetect import *from client import *import sysclass MyClient(QtGui.QDialog):    def __init__(self):        QtGui.QDialog.__init__(self)        self.ui = Ui_Dialog()        self.ui.setupUi(self)        _timer = QtCore.QTimer(self)        _timer.timeout.connect(self._showtime)        _timer.start()        self._showtime()        QtCore.QObject.connect(self.ui.pushButton_2, QtCore.SIGNAL("clicked()"), self._showpicture)        QtCore.QObject.connect(self.ui.pushButton_3, QtCore.SIGNAL('clicked()'), self._facedetect)        QtCore.QObject.connect(self.ui.pushButton_4, QtCore.SIGNAL('clicked()'), self._eyedetect)    def _showtime(self):        _time = QtCore.QTime.currentTime()        _text = _time.toString("hh:mm")        self.ui.lcdNumber.display(_text)    def _showpicture(self):        showPicture()    def _facedetect(self):        faceDetect()    def _eyedetect(self):        eyeDetect()if __name__ == '__main__':    app = QtGui.QApplication(sys.argv)    my = MyClient()    my.show()    sys.exit(app.exec_())

这个project小且简单，代码也不够规范，主要是将自己的思路实现