Example #1
0
    def send_signal_close(self):
        try:
            print('signal send successfully !')
            self.hide()

            print('Now opening Main Application.')
            from Gunshot_Detection_WINDOW_MAIN import MainWindow
            self.dialog = MainWindow()
            self.dialog.show()

        except Exception as e:
            print('error occured ', e)
Example #2
0
    def on_click_modelData(self):

        self.label_blur_img.show()

        x = 'This will clean all the trained model data.        '
        selection_sub = QMessageBox.information(self, 'Clean The Model Data',
                                                x, QMessageBox.Yes,
                                                QMessageBox.No)
        self.setWindowIcon(QIcon('assets/icon.png'))

        if (selection_sub == QMessageBox.Yes):

            # calling the function cleanup function.
            #------------------------------------------------------------------
            clean_classData()
            # calling function to clean the notification data.
            #------------------------------------------------------------------
            clean_notification_data()

            # displaying message box.
            #------------------------------------------------------------------
            x = 'All model data successfully cleared.       '
            QMessageBox.information(self, 'Message', x, QMessageBox.Ok)
            self.setWindowIcon(QIcon('assets/icon.png'))

            # closing advance setting window here.
            #------------------------------------------------------------------
            self.close()

            # closing the mainwindow here by setting variable value as 1,
            # which will get checked by in Main window under thread.
            #------------------------------------------------------------------
            import Gunshot_Detection_WINDOW_MAIN
            Gunshot_Detection_WINDOW_MAIN.main_advance_setting_close = 1
            print('In advance setting close value: ',
                  Gunshot_Detection_WINDOW_MAIN.main_advance_setting_close)

            from Gunshot_Detection_WINDOW_MAIN import MainWindow
            self.dialog_main = MainWindow()
            self.dialog_main.show()

        else:
            pass

        self.label_blur_img.hide()
    def on_click_noc(self):

        # displaying total classes.
        self.label_blur_img.show()

        from Gunshot_Recognition_VIEW_CLASS import TotalClassAvailable
        self.dialog = TotalClassAvailable(self)
        self.dialog.exec_()

        self.label_blur_img.hide()
    def on_click_record(self):
        global live_record_stop
        global className

        # storing the class name into the variable className.
        #----------------------------------------------------------------------
        className = self.textbox1.text()

        self.label_blur_img.show()

        # checking with the regular expression that name is in the correct format.
        #-------------------------------------------------------------------------
        if (re.fullmatch(r"[a-z]+", className)):

            # start the Dialog UI for recording.
            #------------------------------------------------------------------
            from Gunshot_Detection_WINDOW_LIVE_RECORDING import LiveRecordingDialog
            self.dialog = LiveRecordingDialog(className, self)
            self.dialog.exec_()
            #            self.dialog.deleteLater()

            print(live_record_stop)

            if (live_record_stop == 1):

                # Enabling the "TRAINING" button.
                #--------------------------------------------------------------
                self.button_train.setEnabled(True)
                self.button_train.setToolTip('Click to start training.   ')
                self.button_train.setStyleSheet(
                    """ QPushButton{color:#ffffff; background-color:#000000; font-weight:bold; border-radius:10px;} 
                                                        QPushButton:hover{color:#ffffff; background-color:#054A73; font-size:13px; font-weight:bold; border-radius:10px; border: 1.5px solid #ffffff;}
                                                        QPushButton:pressed{color:#000000; background-color:#35BEF4; border-radius:10px; border: 1.5px solid #000000;} """
                )
            else:

                # disabling the "TRAINING" button.
                #--------------------------------------------------------------
                self.button_train.setToolTip(
                    'Train button is currently disabled.   ')
                self.button_train.setEnabled(False)
                self.button_train.setStyleSheet(
                    """ QPushButton{color:#000000; background-color:#6B6B6B; border-radius:10px;} """
                )

        else:

            x = ' Enter the class Name in the format.\t\t       \n\n 1)  Must be in small letters. \n 2)  Name must have letters only. \n 2)  Dont provide space between the words.'
            QMessageBox.critical(self, 'Live Recording.', x, QMessageBox.Ok)
            self.setWindowIcon(QIcon('assets/icon.png'))

        self.label_blur_img.hide()
    def on_click_mm(self):

        # saving the last known postion of the training window so that another window can appear on the same position.
        self.settings = QSettings(" ", " ")
        self.settings.setValue("geometry", self.saveGeometry())
        self.settings.setValue("windowState", self.saveState())

        self.hide()

        import Gunshot_Recognition_IF_NO_CLASS
        Gunshot_Recognition_IF_NO_CLASS.close_main_window = 2

        from Gunshot_Detection_WINDOW_MAIN import MainWindow
        self.dialog = MainWindow()
        self.dialog.show()


######################################################################################################################################
######################################################################################################################################
######################################################################################################################################

#def run():
#    if __name__ =='__main__':
#
#        QApplication.processEvents()
#        my_app = QCoreApplication.instance()
#        if my_app is None:
#            my_app = QApplication(sys.argv)
#        window = TrainWindow()
#        window.show()
#
#        sys.exit(my_app.exec_())
#
#try:
#    run()
#except Exception as e:
#    print('\nSERVICE SHUTDOWN\n', e)
Example #6
0
class AdvanceSettingWindow(QDialog):
    def __init__(self, parent=None):

        # to prevent GUI lockup in long run.
        #----------------------------------------------------------------------
        QApplication.processEvents()

        QDialog.__init__(self, parent)
        #super(AdvanceSettingWindow, self).__init__(parent)
        self.setFixedSize(500, 400)
        self.setWindowTitle(' Advance Settings')
        self.setWindowIcon(QIcon('assets/icon.png'))

        # if background image is not available then takin color as background.
        #----------------------------------------------------------------------
        if (os.path.exists('assets/main_background.jpg') == True):
            # Background Image.
            self.Label_bg = QLabel(self)
            self.Label_bg.resize(1000, 500)
            self.Label_bg.move(-255, -50)
            movie = QMovie("assets/main_background.jpg")
            self.Label_bg.setMovie(movie)
            movie.start()
        else:
            # Background Color.
            color = QColor("#2d2d2d")
            self.setAutoFillBackground(True)
            p = self.palette()
            p.setColor(self.backgroundRole(), color)
            self.setPalette(p)

        # Sub Background part with transparency at the middle notification
        #----------------------------------------------------------------------
        self.Label_sbg = QLabel(self)
        self.Label_sbg.setText('')
        self.Label_sbg.resize(425, 160)
        self.Label_sbg.move(40, 120)
        self.Label_sbg.setStyleSheet(
            "background-color:#50000000; border-radius:10px; border: 0px solid #000000"
        )

        self.Label_sbg = QLabel(self)
        self.Label_sbg.setText('')
        self.Label_sbg.resize(425, 50)
        self.Label_sbg.move(40, 120)
        self.Label_sbg.setStyleSheet(
            "background-color:#000000; border-top-left-radius:10px; border-top-right-radius:10px"
        )

        self.Label_sbg = QLabel(self)
        self.Label_sbg.setText('')
        self.Label_sbg.resize(425, 30)
        self.Label_sbg.move(40, 250)
        self.Label_sbg.setStyleSheet(
            "background-color:#000000; border-bottom-left-radius:10px; border-bottom-right-radius:10px"
        )

        # setting title text image here {'set notification for'}.
        #----------------------------------------------------------------------
        self.Label_title_ani = QLabel(self)
        self.Label_title_ani.resize(420, 55)
        self.Label_title_ani.move(120, 120)
        movie = QMovie("assets/notiTitle.png")
        self.Label_title_ani.setMovie(movie)
        movie.start()

        # setting text for the option.
        #----------------------------------------------------------------------
        ss = "color:#000000; font-size:16px; font-weight:bold; background-color:#0D86B1; border-radius:10px; border: 3px solid #000000"

        width = 425
        height = 35

        x_axis = 40
        y_axis = 25

        self.Label1 = QLabel(self)
        self.Label1.setText('   Clean Model Data                :')
        self.Label1.resize(width, height)
        self.Label1.move(x_axis, y_axis)
        self.Label1.setStyleSheet(ss)

        self.Label1 = QLabel(self)
        self.Label1.setText('   Clean Evidence Data           :')
        self.Label1.resize(width, height)
        self.Label1.move(x_axis, y_axis + 45)
        self.Label1.setStyleSheet(ss)

        self.Label1 = QLabel(self)
        self.Label1.setText('   Record Dummy Data           :')
        self.Label1.resize(width, height)
        self.Label1.move(x_axis, y_axis + 270)
        self.Label1.setStyleSheet(ss)

        self.Label2 = QLabel(self)
        self.Label2.setText('   Set Notification                   :')
        self.Label2.resize(width, height)
        self.Label2.move(x_axis, y_axis + 315)
        self.Label2.setStyleSheet(ss)

        # Blocking the the any other window.
        ##############################################################################
        self.setWindowModality(Qt.ApplicationModal)

        # disabling minimize button.
        #----------------------------------------------------------------------
        #        self.setWindowFlag(Qt.WindowMinimizeButtonHint, False)

        #        self.settings = QSettings(" ", " ")
        #        self.restoreGeometry(self.settings.value("geometry", ""))
        #        self.restoreState(self.settings.value("windowState", ""))

        # displays the position of the window. (x, y, w, h) and extracting the values.
        # after extracting the value setting the position to the center of the parent.
        ##############################################################################
        #        x = self.frameGeometry()
        #        x = str(x)
        #        val = re.findall(r'\d+', x)
        #        val = [int(val[1]), int(val[2])]
        #        print(val)
        #        self.move(val[0]+260 , val[1]+100)

        self.initUI()

        # calling stylesheet here.
        #----------------------------------------------------------------------
        from Gunshot_Recognition_CSS import styleSheetAdvanceSetting
        self.setStyleSheet(styleSheetAdvanceSetting)

# ------------------------------------------------------------------------------------------------------------------------------------------#
########################################################  close event   #####################################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#
#    def closeEvent(self, event):
#
#        # here sending value to hide the blur image over the main window.
#        import Gunshot_Detection_WINDOW_MAIN
#        Gunshot_Detection_WINDOW_MAIN.main_advance_setting_close = 3
#        print('In advance setting close value: ',Gunshot_Detection_WINDOW_MAIN.main_advance_setting_close)
#
#        QMainWindow.closeEvent(self, event)

# ------------------------------------------------------------------------------------------------------------------------------------------#
##################################################  init FUNCTION OF CLASS   ################################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

    def initUI(self):
        self.InputBoxNotification()
        self.ButtonSetNotification()
        self.ButtonDummyData()
        self.ButtonEvidenceData()
        self.ButtonModelData()

        # self.show     ---> background window will not movable.
        self.show()  # ---> background window will be movable.

        # defining the blur image over the background.
        self.label_blur_img = QLabel(self)
        color = QColor(0, 0, 0, 200)  # rgba color code here.
        pixmap = QPixmap(1000, 500)
        pixmap.fill(color)
        #        pixmap = QPixmap('assets/pg_bg1.png')
        self.label_blur_img.setPixmap(pixmap)
        self.label_blur_img.resize(1000, 500)

# ------------------------------------------------------------------------------------------------------------------------------------------#
####################################################  NOTIFICATION BUTTON    ################################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

# Displaying current notification set for
# -------------------------------------------------------------------------

    def InputBoxNotification(self):

        styleSheet = "color:#000000; border-radius:10px; font-size:40px; font-weight:bold"

        from Gunshot_Detection_DATA_SAVING import DisplayDataNotification
        data = DisplayDataNotification()
        x = data[0]

        self.Label_className = QLabel(self)
        self.Label_className.setText(x)
        self.Label_className.setStyleSheet(styleSheet)
        self.Label_className.setAlignment(Qt.AlignCenter)
        self.Label_className.move(50, 185)
        self.Label_className.resize(405, 50)

    # Button to set class name, phone number, email id for notification.
    def ButtonSetNotification(self):
        self.button_noti = QPushButton('SET', self)
        self.button_noti.setToolTip(' Set the notification.')
        self.button_noti.setObjectName("enabledAdvance")
        self.button_noti.resize(127, 29)
        self.button_noti.move(335, 343)
        self.button_noti.clicked.connect(self.on_click_notification)

    # This click event is used for going back to the main window.
    def on_click_notification(self):

        self.label_blur_img.show()

        x = 'Set Notification'
        y = ' Do you really want to make changes to the notification.        '
        selection_sub = QMessageBox.information(self, x, y, QMessageBox.Yes,
                                                QMessageBox.No)
        self.setWindowIcon(QIcon('assets/icon.png'))

        if (selection_sub == QMessageBox.Yes):

            self.hide()

            from Gunshot_Detection_WINDOW_SET_NOTIFICATION import SetNotificationWindow
            self.dialog = SetNotificationWindow(self)
            self.dialog.exec_()

        else:
            pass

        self.label_blur_img.hide()

# ------------------------------------------------------------------------------------------------------------------------------------------#
####################################################   MODEL CLEAN BUTTON   #################################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

# all buttons for functionality
#--------------------------------------------------------------------------

    def ButtonModelData(self):
        self.button_modelData = QPushButton('CLEAN', self)
        self.button_modelData.setToolTip('Clean the model data. ')
        self.button_modelData.setObjectName("enabledAdvance")
        self.button_modelData.resize(127, 29)
        self.button_modelData.move(335, 28)
        self.button_modelData.clicked.connect(self.on_click_modelData)

    # button event for cleaning the model data.
    #--------------------------------------------------------------------------
    def on_click_modelData(self):

        self.label_blur_img.show()

        x = 'This will clean all the trained model data.        '
        selection_sub = QMessageBox.information(self, 'Clean The Model Data',
                                                x, QMessageBox.Yes,
                                                QMessageBox.No)
        self.setWindowIcon(QIcon('assets/icon.png'))

        if (selection_sub == QMessageBox.Yes):

            # calling the function cleanup function.
            #------------------------------------------------------------------
            clean_classData()
            # calling function to clean the notification data.
            #------------------------------------------------------------------
            clean_notification_data()

            # displaying message box.
            #------------------------------------------------------------------
            x = 'All model data successfully cleared.       '
            QMessageBox.information(self, 'Message', x, QMessageBox.Ok)
            self.setWindowIcon(QIcon('assets/icon.png'))

            # closing advance setting window here.
            #------------------------------------------------------------------
            self.close()

            # closing the mainwindow here by setting variable value as 1,
            # which will get checked by in Main window under thread.
            #------------------------------------------------------------------
            import Gunshot_Detection_WINDOW_MAIN
            Gunshot_Detection_WINDOW_MAIN.main_advance_setting_close = 1
            print('In advance setting close value: ',
                  Gunshot_Detection_WINDOW_MAIN.main_advance_setting_close)

            from Gunshot_Detection_WINDOW_MAIN import MainWindow
            self.dialog_main = MainWindow()
            self.dialog_main.show()

        else:
            pass

        self.label_blur_img.hide()

# ------------------------------------------------------------------------------------------------------------------------------------------#
####################################################   EVIDENCE CLEAN BUTTON   ##############################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

    def ButtonEvidenceData(self):
        self.button_evidenceData = QPushButton('CLEAN', self)
        self.button_evidenceData.setToolTip('Clean the evidence. ')
        self.button_evidenceData.setObjectName("enabledAdvance")
        self.button_evidenceData.resize(127, 29)
        self.button_evidenceData.move(335, 73)
        self.button_evidenceData.clicked.connect(self.on_click_evidence_data)

    # button event for cleaning the evidence data.
    def on_click_evidence_data(self):

        self.label_blur_img.show()

        x = 'This will clean all the evidence data.     '
        selection_sub = QMessageBox.information(self,
                                                'Clean The Evidence Data', x,
                                                QMessageBox.Yes,
                                                QMessageBox.No)
        self.setWindowIcon(QIcon('assets/icon.png'))

        if (selection_sub == QMessageBox.Yes):

            # calling the function cleanup function.
            clean_evidence()

            # displaying message box.
            x = 'All evidence successfully cleared.       '
            QMessageBox.information(self, 'Message', x, QMessageBox.Ok)
            self.setWindowIcon(QIcon('assets/icon.png'))

        else:
            pass

        self.label_blur_img.hide()

# ------------------------------------------------------------------------------------------------------------------------------------------#
###################################################  DUMMY DATA RECORD BUTTON   #############################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

    def ButtonDummyData(self):
        self.button_dummyData = QPushButton('RECORD', self)
        self.button_dummyData.setToolTip('Record dummy data. ')
        self.button_dummyData.setObjectName("enabledAdvance")
        self.button_dummyData.resize(127, 29)
        self.button_dummyData.move(335, 298)
        self.button_dummyData.clicked.connect(self.on_click_dummyData)

    # here displaying the Dialog box for recording.
    def on_click_dummyData(self):

        self.label_blur_img.show()

        x = 'Record Dummy Data'
        y = ' Do you really want to record dummy data.       '
        selection_sub = QMessageBox.information(self, x, y, QMessageBox.Yes,
                                                QMessageBox.No)
        self.setWindowIcon(QIcon('assets/icon.png'))

        if (selection_sub == QMessageBox.Yes):

            self.hide()

            from Gunshot_Detection_WINDOW_DUMMY_RECORDING import dummyRecordingClass
            self.dialog = dummyRecordingClass(self)
            self.dialog.exec_()

        else:
            pass

        self.label_blur_img.hide()
class TrainWindow(QMainWindow):
    def __init__(self):

        # to prevent GUI lockup in long run.
        #----------------------------------------------------------------------
        QApplication.processEvents()

        super().__init__()
        #super(ChildWindow, self).__init__(parent)
        self.setFixedSize(1000, 500)
        self.setWindowTitle(' Sound Classification v3.0 ')
        self.setWindowIcon(QIcon('assets/icon.png'))

        # This part retrive the last saved position of the MainWindow before this windows appear.
        # displaying the this window in exact same postion.
        #----------------------------------------------------------------------------------------
        try:
            self.settings = QSettings(" ", " ")
            self.restoreGeometry(self.settings.value("geometry", ""))
            self.restoreState(self.settings.value("windowState", ""))
        except:
            pass

        # Disabling the the close button here.
        #----------------------------------------------------------------------
        # self.setWindowFlag(Qt.WindowCloseButtonHint, False)

        # Background Color.
        #----------------------------------------------------------------------
        color = QColor("#3484A9")
        self.setAutoFillBackground(True)
        p = self.palette()
        p.setColor(self.backgroundRole(), color)
        self.setPalette(p)

        # Setting background Image.
        #----------------------------------------------------------------------
        oImage = QImage("assets/main_background.jpg")
        sImage = oImage.scaled(QSize(1000, 500))
        palette = QPalette()
        palette.setBrush(10, QBrush(sImage))
        self.setPalette(palette)

        # defining all labels here.
        #----------------------------------------------------------------------
        self.Label_sbg_bg1 = QLabel(self)
        self.Label_sbg_bg2 = QLabel(self)
        self.Label_sbg_title1 = QLabel(self)
        self.Label_sbg_title2 = QLabel(self)
        self.Label_predict111 = QLabel(self)
        self.Label_predict121 = QLabel(self)
        self.Label_predict131 = QLabel(self)
        self.Label_predict141 = QLabel(self)
        self.Label_setfreq = QLabel(self)
        self.Label_predict_totalClass = QLabel(self)

        self.Label_predict_className = QLabel(self)
        self.Label_predict_time = QLabel(self)
        self.Label_predict_recordText = QLabel(self)
        self.Label_predict_recordTextHeader = QLabel(self)

        self.Label_thres = QLabel(self)
        self.Label_predict11 = QLabel(self)
        self.Label_predict12 = QLabel(self)
        self.Label_predict13 = QLabel(self)
        self.Label_predict14 = QLabel(self)
        self.Label_predict_timeD = QLabel(self)
        self.Label_record = QLabel(self)

        # setting title text image here 'MODEL STATUS'.
        #----------------------------------------------------------------------
        self.Label_title_ani1 = QLabel(self)
        self.Label_title_ani1.resize(277, 45)
        self.Label_title_ani1.move(115, 50)
        movie = QMovie("assets/model_status.png")
        self.Label_title_ani1.setMovie(movie)
        movie.start()

        # setting title text image here 'TRAINING'.
        #----------------------------------------------------------------------
        self.Label_title_ani2 = QLabel(self)
        self.Label_title_ani2.resize(205, 67)
        self.Label_title_ani2.move(640, 40)
        movie = QMovie("assets/training.png")
        self.Label_title_ani2.setMovie(movie)
        movie.start()

        self.initUI()

        # calling stylesheet here.
        #----------------------------------------------------------------------
        from Gunshot_Recognition_CSS import styleSheetTrain
        self.setStyleSheet(styleSheetTrain)

# ------------------------------------------------------------------------------------------------------------------------------------------#
########################################################  init FUNCTION   ###################################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

    def initUI(self):
        self.constantLabel()
        self.ButtonMainWindow()
        self.ClassNameBoxSet()
        self.ThresholdSetBox()
        self.labelThreshold()
        self.ButtonShowClass()
        self.ButtonAddClass()
        self.ButtonFreqThres()
        self.ButtonReTrain()
        self.DisplayAccLoss()
        self.ButtonToTrain()
        self.RecordLabel()
        self.ButtonRecord()
        self.Button_Message_Signal_Trained()
        self.show()

        # showinging the blur image over the background.
        #----------------------------------------------------------------------
        self.label_blur_img = QLabel(self)
        color = QColor(0, 0, 0, 200)  # rgba color code here.
        pixmap = QPixmap(1000, 500)
        pixmap.fill(color)
        #        pixmap = QPixmap('assets/pg_bg1.png')
        self.label_blur_img.setPixmap(pixmap)
        self.label_blur_img.resize(1000, 500)

# ------------------------------------------------------------------------------------------------------------------------------------------#
#########################################################  CLOSE EVENT   ####################################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

    def closeEvent(self, event):

        self.label_blur_img.show()

        msgBox = QMessageBox.question(self, 'End the Service',
                                      'Are you sure you want to quit?\t',
                                      QMessageBox.Yes | QMessageBox.No,
                                      QMessageBox.Yes)
        self.setWindowIcon(QIcon('assets/icon.png'))

        if msgBox == QMessageBox.Yes:
            QMainWindow.closeEvent(self, event)
        else:
            event.ignore()

        self.label_blur_img.hide()

# ----------------------------------------------------------------------------------------------------------------------------------------- #
##################################################  DEFINING THE CONSTANT LABEL HERE  #######################################################
# ----------------------------------------------------------------------------------------------------------------------------------------- #

    def constantLabel(self):

        # Sub Background part with transparency Right and Left.
        #----------------------------------------------------------------------
        x = 20
        y = 20
        height = 460
        width = 470

        self.Label_sbg_bg1.setText("")
        self.Label_sbg_bg1.resize(width, height)
        self.Label_sbg_bg1.move(x, y)
        self.Label_sbg_bg1.setObjectName("sub_bg")

        self.Label_sbg_bg2.setText("")
        self.Label_sbg_bg2.resize(width, height)
        self.Label_sbg_bg2.move(x + 490, y)
        self.Label_sbg_bg2.setObjectName("sub_bg")

        # Element of left side.
        #######################################################################

        # Sub Background title part
        #----------------------------------------------------------------------
        self.Label_sbg_title1.setText("")
        self.Label_sbg_title1.resize(440, 70)
        self.Label_sbg_title1.move(35, 35)
        self.Label_sbg_title1.setObjectName("sub_title")

        height = 40
        width = 440
        x_axis = 35
        y_axis = 120

        self.Label_predict111.setText("TRAIN ACCU   :")
        self.Label_predict111.resize(width, height)
        self.Label_predict111.move(x_axis, y_axis)
        self.Label_predict111.setObjectName("textDisplayBg")

        self.Label_predict121.setText("TEST ACCU    :")
        self.Label_predict121.resize(width, height)
        self.Label_predict121.move(x_axis, y_axis + 45)
        self.Label_predict121.setObjectName("textDisplayBg")

        self.Label_predict131.setText("TRAIN LOSS   :")
        self.Label_predict131.resize(width, height)
        self.Label_predict131.move(x_axis, y_axis + 90)
        self.Label_predict131.setObjectName("textDisplayBg")

        self.Label_predict141.setText("TEST LOSS     :")
        self.Label_predict141.resize(width, height)
        self.Label_predict141.move(x_axis, y_axis + 135)
        self.Label_predict141.setObjectName("textDisplayBg")

        self.Label_predict_totalClass.setText("SHOW SOUND CLASSES :")
        self.Label_predict_totalClass.resize(width, height)
        self.Label_predict_totalClass.move(x_axis, y_axis + 308)
        self.Label_predict_totalClass.setObjectName("textDisplayBg")

        # Sub Background {set frequency}
        #----------------------------------------------------------------------
        self.Label_setfreq.setText("")
        self.Label_setfreq.resize(width, 100)
        self.Label_setfreq.move(x_axis, y_axis + 190)
        self.Label_setfreq.setObjectName("textDisSetFreq")

        # Element of right side.
        #######################################################################
        self.Label_sbg_title2.setText("")
        self.Label_sbg_title2.resize(440, 70)
        self.Label_sbg_title2.move(525, 35)
        self.Label_sbg_title2.setObjectName("sub_title")

        # Sub Background title part
        #----------------------------------------------------------------------

        height = 40
        width = 440
        x_axis = 525
        y_axis = 120

        self.Label_predict_className.setText("CLASS NAME :")
        self.Label_predict_className.resize(width, height)
        self.Label_predict_className.move(x_axis, y_axis)
        self.Label_predict_className.setObjectName("textDisplayBg")

        self.Label_predict_time.setText("TRAINED ON :")
        self.Label_predict_time.resize(width, height)
        self.Label_predict_time.move(x_axis, y_axis + 45)
        self.Label_predict_time.setObjectName("textDisplayBg")

        self.Label_predict_recordText.setText("")
        self.Label_predict_recordText.resize(width, 190)
        self.Label_predict_recordText.move(x_axis, y_axis + 100)
        self.Label_predict_recordText.setObjectName("textDisplayRecord")

        self.Label_predict_recordTextHeader.setText("  DATA COLLECTION  ")
        self.Label_predict_recordTextHeader.resize(width, 60)
        self.Label_predict_recordTextHeader.move(x_axis + 0, y_axis + 100)
        self.Label_predict_recordTextHeader.setAlignment(Qt.AlignCenter)
        self.Label_predict_recordTextHeader.setObjectName(
            "textDisplayRecordHeader")

# ----------------------------------------------------------------------------------------------------------------------------------------- #
########################################   DISPLAYING THE ACUURACY & LOSS OF THE MODEL   ####################################################
# ----------------------------------------------------------------------------------------------------------------------------------------- #

    def DisplayAccLoss(self):

        with open('Data_Record/training_data_saved.csv', 'r') as file:
            reader = csv.reader(file)
            for row in reader:
                row

        height = 40
        width = 295
        x_axis = 180
        y_axis = 120

        value1 = row[4]
        self.Label_predict11.setText(value1)
        self.Label_predict11.resize(width, height)
        self.Label_predict11.move(x_axis, y_axis)
        self.Label_predict11.setObjectName("textDisplay")

        value2 = row[5]
        self.Label_predict12.setText(value2)
        self.Label_predict12.resize(width, height)
        self.Label_predict12.move(x_axis, y_axis + 45)
        self.Label_predict12.setObjectName("textDisplay")

        value3 = row[6]
        self.Label_predict13.setText(value3)
        self.Label_predict13.resize(width, height)
        self.Label_predict13.move(x_axis, y_axis + 90)
        self.Label_predict13.setObjectName("textDisplay")

        value4 = row[7]
        self.Label_predict14.setText(value4)
        self.Label_predict14.resize(width, height)
        self.Label_predict14.move(x_axis, y_axis + 135)
        self.Label_predict14.setObjectName("textDisplay")

        # This contains the value of last trained.
        #----------------------------------------------------------------------
        value5 = row[8]
        self.Label_predict_timeD.setText(value5)
        self.Label_predict_timeD.resize(width, height)
        self.Label_predict_timeD.move(670, 165)
        self.Label_predict_timeD.setObjectName("textDisplay1")

# ----------------------------------------------------------------------------------------------------------------------------------------- #
#################################   SETTING UP THE THRESHOLD FOR FREQUENCY AND DISPLAYING IT   ##############################################
# ----------------------------------------------------------------------------------------------------------------------------------------- #

# Displaying the current threshold of the model.
#--------------------------------------------------------------------------

    def labelThreshold(self):
        global freq_thres
        x = str(freq_thres)

        thresText = 'Current threshold for frequency is ' + x + '. Enter the new \nthreshold value and click on set to change the current \nthreshold vlaue.'

        self.Label_thres.setText(thresText)
        self.Label_thres.resize(350, 50)
        self.Label_thres.move(90, 325)
        self.Label_thres.setStyleSheet(
            "color:#3484A9; font-size:15px; font-weight:bold; font-family: 'calibri', Garamond, 'Comic Sans MS'"
        )

    # Text Box for setting the Threshold.
    #--------------------------------------------------------------------------
    def ThresholdSetBox(self):
        self.textbox2 = QLineEdit(self)
        self.textbox2.setStyleSheet(
            "color:#808080; background-color:#000000; border-radius:10px; padding-left:10px; font-size:12px; font-weight:bold"
        )
        self.textbox2.move(294, 365)
        self.textbox2.resize(95, 30)

# ----------------------------------------------------------------------------------------------------------------------------------------- #
#########################################################   SET THRESHOLD BUTTON  ###########################################################
# ----------------------------------------------------------------------------------------------------------------------------------------- #

# Button for setying up the frequenct threshold for the model.
#-------------------------------------------------------------------------

    def ButtonFreqThres(self):
        self.button_set = QPushButton('SET', self)
        self.button_set.setToolTip('Click to set frequency threshold.   ')
        self.button_set.setObjectName("restButtonTrain")
        self.button_set.resize(50, 30)
        self.button_set.move(375, 365)
        self.button_set.clicked.connect(self.on_click_freq_thres)

    # This click event is used for setting up the frequency threshold.
    #--------------------------------------------------------------------------
    def on_click_freq_thres(self):

        # storing the theshold value in the variable freq_thres.
        #----------------------------------------------------------------------
        global freq_thres
        freq_thres = self.textbox2.text()

        # regular expression for matching digit of length uptp 5.
        #----------------------------------------------------------------------
        freq_thres = str(freq_thres)

        if (re.fullmatch(r"[0-9]{1,5}", freq_thres)):

            self.label_blur_img.show()

            x = 'Threshold set as ' + freq_thres + ' successfully ! \t'
            QMessageBox.information(self, 'Threshold', x, QMessageBox.Ok)
            self.setWindowIcon(QIcon('assets/icon.png'))

            self.label_blur_img.hide()

            # refreshing the label of threshold.
            #------------------------------------------------------------------
            self.labelThreshold()

        else:
            self.label_blur_img.show()

            # displaying message if wrong value is given for threshold frequency.
            #--------------------------------------------------------------------
            x = ' Enter the correct value.\t  \n\n 1) Only positive numbers are allowed. \n 2) Length must be 1 to 5.'
            QMessageBox.critical(self, 'Threshold', x, QMessageBox.Ok)
            self.setWindowIcon(QIcon('assets/icon.png'))

            self.label_blur_img.hide()

# ------------------------------------------------------------------------------------------------------------------------------------------#
###################################  POP UP FOR  DISPLAYING THE TOTAL CLASS AVAILABLE IN THE MODEL   ########################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

# Show the total class available in the model.

    def ButtonShowClass(self):
        self.button_sh_cls = QPushButton('Click here to view', self)
        self.button_sh_cls.setToolTip(
            'Shows the total number of classes in the model.   ')
        self.button_sh_cls.setObjectName("restButtonTrain")
        self.button_sh_cls.resize(178, 38)
        self.button_sh_cls.move(270, 429)
        self.button_sh_cls.clicked.connect(self.on_click_noc)

    # this click event is used to print the total classes that the model is trained with.
    def on_click_noc(self):

        # displaying total classes.
        self.label_blur_img.show()

        from Gunshot_Recognition_VIEW_CLASS import TotalClassAvailable
        self.dialog = TotalClassAvailable(self)
        self.dialog.exec_()

        self.label_blur_img.hide()

# ----------------------------------------------------------------------------------------------------------------------------------------- #
#################################################   TEXT BOX TO ENTER THE CLASS NAME   ######################################################
# ----------------------------------------------------------------------------------------------------------------------------------------- #

    className = ''

    # Text Box for setting the class name.
    def ClassNameBoxSet(self):
        self.textbox1 = QLineEdit(self)
        self.textbox1.setObjectName("classNameBox")
        self.textbox1.setPlaceholderText("Enter the class name.")
        #        self.textbox1.setAlignment(Qt.AlignCenter)
        self.textbox1.move(670, 120)
        self.textbox1.resize(295, 40)

# ------------------------------------------------------------------------------------------------------------------------------------------#
######################################  UPLOAD FUNCTION TO SELECT DATA FROM THE DISK FOR THE MODEL    #######################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

    def UploadTheFile(self):

        # opening the dialog for selecting the file location.
        # If you want to add all file the add this "All Files (*);; before Audio Files (*.wav).

        options = QFileDialog.Options()
        options |= QFileDialog.DontUseNativeDialog
        fileName, _ = QFileDialog.getOpenFileName(self,
                                                  "Sound Classification v3.0",
                                                  "",
                                                  "Audio Files (*.wav)",
                                                  options=options)

        # If file get selected then only it creates the folder directory.
        if fileName:
            print(fileName)

            global className
            className = className.lower()

            if (os.path.isdir('audio/' + className) == True):

                # remove folder an its contents
                shutil.rmtree('audio/' + className + '/' + className)
                shutil.rmtree('audio/' + className)

                os.makedirs('audio/' + className)
                os.makedirs('audio/' + className + '/' + className)

            else:
                os.makedirs('audio/' + className)
                os.makedirs('audio/' + className + '/' + className)

            # exporting the file to the location as defined above.
            audio = AudioSegment.from_wav(fileName)
            audio.export('audio/' + className + '/' + className + '.wav',
                         format='wav')

            self.label_blur_img.show()

            # displaying the message that data successfully added.
            x = " Data successfully added. \n Now, click on the 'TRAINING' button to train the model.\t"
            QMessageBox.information(self, 'Message', x, QMessageBox.Ok)
            self.setWindowIcon(QIcon('assets/icon.png'))

            self.label_blur_img.hide()

            # enabling the TRAINING button after adding the file into the model.
            self.button_train.setEnabled(True)
            self.button_train.setToolTip('Click to start training.   ')
            self.button_train.setStyleSheet(
                """ QPushButton{color:#ffffff; background-color:#000000; font-weight:bold; border-radius:10px;} 
                                                        QPushButton:hover{color:#ffffff; background-color:#054A73; font-size:13px; font-weight:bold; border-radius:10px; border: 1.5px solid #ffffff;}
                                                        QPushButton:pressed{color:#000000; background-color:#35BEF4; border-radius:10px; border: 1.5px solid #000000;} """
            )

# ------------------------------------------------------------------------------------------------------------------------------------------#
###################################################    RECORD LABEL & BUTTON   ##############################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

# priniting label for live data data collection.

    def RecordLabel(self):
        #        value = 'To train the model with the live data, click on the record \nbutton to start recording. When "TRAINING" button get \nenabled, click it to start training the model.'
        value = 'If you have the data file (*.wav), you can add it by \nclicking on the ADD DATA button or you can record the \nlive data by using RECORD button.'
        self.Label_record.setText(value)
        self.Label_record.resize(350, 60)
        self.Label_record.setAlignment(Qt.AlignCenter)
        self.Label_record.move(570, 275)
        self.Label_record.setStyleSheet(
            "color:#3484A9; font-size:12px;  font-family:Tahoma, Geneva, sans-serif; font-weight:bold"
        )

    # Button for recording live data.
    def ButtonRecord(self):
        self.button_add_record = QPushButton('RECORD', self)
        self.button_add_record.setToolTip('Click to record live data.   ')
        self.button_add_record.setStyleSheet(
            """ QPushButton{color:#ffffff; background-color:#000000; font-weight:bold; border-radius:10px;} 
                                                        QPushButton:hover{color:#ffffff; background-color:#054A73; font-size:13px; font-weight:bold; border-radius:10px; border: 1.5px solid #ffffff;}
                                                        QPushButton:pressed{color:#000000; background-color:#35BEF4; border-radius:10px; border: 1.5px solid #000000;} """
        )

        self.button_add_record.resize(120, 40)
        self.button_add_record.move(610, 350)
        self.button_add_record.clicked.connect(self.on_click_record)

    # Button record event for RECORD Button.
    def on_click_record(self):
        global live_record_stop
        global className

        # storing the class name into the variable className.
        #----------------------------------------------------------------------
        className = self.textbox1.text()

        self.label_blur_img.show()

        # checking with the regular expression that name is in the correct format.
        #-------------------------------------------------------------------------
        if (re.fullmatch(r"[a-z]+", className)):

            # start the Dialog UI for recording.
            #------------------------------------------------------------------
            from Gunshot_Detection_WINDOW_LIVE_RECORDING import LiveRecordingDialog
            self.dialog = LiveRecordingDialog(className, self)
            self.dialog.exec_()
            #            self.dialog.deleteLater()

            print(live_record_stop)

            if (live_record_stop == 1):

                # Enabling the "TRAINING" button.
                #--------------------------------------------------------------
                self.button_train.setEnabled(True)
                self.button_train.setToolTip('Click to start training.   ')
                self.button_train.setStyleSheet(
                    """ QPushButton{color:#ffffff; background-color:#000000; font-weight:bold; border-radius:10px;} 
                                                        QPushButton:hover{color:#ffffff; background-color:#054A73; font-size:13px; font-weight:bold; border-radius:10px; border: 1.5px solid #ffffff;}
                                                        QPushButton:pressed{color:#000000; background-color:#35BEF4; border-radius:10px; border: 1.5px solid #000000;} """
                )
            else:

                # disabling the "TRAINING" button.
                #--------------------------------------------------------------
                self.button_train.setToolTip(
                    'Train button is currently disabled.   ')
                self.button_train.setEnabled(False)
                self.button_train.setStyleSheet(
                    """ QPushButton{color:#000000; background-color:#6B6B6B; border-radius:10px;} """
                )

        else:

            x = ' Enter the class Name in the format.\t\t       \n\n 1)  Must be in small letters. \n 2)  Name must have letters only. \n 2)  Dont provide space between the words.'
            QMessageBox.critical(self, 'Live Recording.', x, QMessageBox.Ok)
            self.setWindowIcon(QIcon('assets/icon.png'))

        self.label_blur_img.hide()

# ------------------------------------------------------------------------------------------------------------------------------------------#
########################################################  ADD BUTTON   ######################################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

# Button to add new data to the model.

    def ButtonAddClass(self):
        self.button_add_data = QPushButton('ADD DATA', self)
        self.button_add_data.setToolTip(
            'Click to add data for training model.   ')
        self.button_add_data.setStyleSheet(
            """ QPushButton{color:#ffffff; background-color:#000000; font-weight:bold; border-radius:10px;} 
                                                        QPushButton:hover{color:#ffffff; background-color:#054A73; font-size:13px; font-weight:bold; border-radius:10px; border: 1.5px solid #ffffff;}
                                                        QPushButton:pressed{color:#000000; background-color:#35BEF4; border-radius:10px; border: 1.5px solid #000000;} """
        )
        self.button_add_data.resize(120, 40)
        self.button_add_data.move(750, 350)
        self.button_add_data.clicked.connect(self.on_click_add_class)

    # This click event is used for training the model.
    def on_click_add_class(self):

        global className
        # storing the class name into the variable className.
        className = self.textbox1.text()

        self.label_blur_img.show()

        # checking with the regular expression that name is in the correct format.
        if (re.fullmatch(r"[a-z]+", className)):
            # getting the file location
            self.UploadTheFile()

        else:
            x = ' Enter the Class Name in the format.\t\t       \n\n 1)  Must be in small letters. \n 2)  Name must have letters only. \n 2)  Dont provide space between the words.'
            QMessageBox.critical(self, 'Live Recording.', x, QMessageBox.Ok)
            self.setWindowIcon(QIcon('assets/icon.png'))

        self.label_blur_img.hide()

# ------------------------------------------------------------------------------------------------------------------------------------------#
#######################################################  RE-Train BUTTON   ##################################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

# Button to add new data to the model.

    def ButtonReTrain(self):
        self.button_re_train = QPushButton('RE-TRAIN', self)
        self.button_re_train.setToolTip('Re train with the existing data..   ')
        self.button_re_train.setStyleSheet(
            """ QPushButton{color:#ffffff; background-color:#000000; font-weight:bold; border-radius:10px;} 
                                                        QPushButton:hover{color:#ffffff; background-color:#054A73; font-size:13px; font-weight:bold; border-radius:10px; border: 1.5px solid #ffffff;}
                                                        QPushButton:pressed{color:#000000; background-color:#35BEF4; border-radius:10px; border: 1.5px solid #000000;} """
        )
        self.button_re_train.resize(120, 40)
        self.button_re_train.move(545, 428)
        self.button_re_train.clicked.connect(self.on_click_re_train)

    # This click event is used for training the model.
    def on_click_re_train(self):

        self.label_blur_img.show()

        x = ' Re-train the model with the existing data by adjusting some of the parameters.\t'
        msg = QMessageBox.information(self, 'Re-Train.', x, QMessageBox.Yes,
                                      QMessageBox.No)
        self.setWindowIcon(QIcon('assets/icon.png'))

        if (msg == QMessageBox.Yes):
            from Gunshot_Detection_USER_TRAIN import UserTraining
            dialog_user_training = UserTraining(self)
            dialog_user_training.exec_()

        else:
            pass

        # refreshing the Accu / loss data and training time.
        #----------------------------------------------------------------------
        self.DisplayAccLoss()

        self.label_blur_img.hide()

# ------------------------------------------------------------------------------------------------------------------------------------------#
########################################################  TRAIN BUTTON  #####################################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

# Button for training the model.

    def ButtonToTrain(self):
        self.button_train = QPushButton('TRAINING', self)
        self.button_train.setToolTip('Train button is currently disabled.   ')
        self.button_train.setEnabled(False)
        self.button_train.setStyleSheet(
            """ QPushButton{color:#000000; background-color:#6B6B6B; border-radius:10px;} """
        )
        self.button_train.resize(120, 40)
        self.button_train.move(685, 428)
        self.button_train.clicked.connect(self.on_click_training)

    def on_click_training(self):
        global className

        # saving the last known postion of the traiing window.
        self.settings = QSettings(" ", " ")
        self.settings.setValue("geometry", self.saveGeometry())
        self.settings.setValue("windowState", self.saveState())

        # poping up the message box to do training
        self.label_blur_img.show()

        msgBox = QMessageBox.question(
            self, 'Model Training',
            ' Do you really want to train the model with the available data? \n Once training get strated you cannot go back.    ',
            QMessageBox.Yes, QMessageBox.No)
        self.setWindowIcon(QIcon('assets/icon.png'))

        if msgBox == QMessageBox.Yes:

            # writing name into the CSV file.
            #------------------------------------------------------------------
            updateTrainClass(className)

            # disabling the TRAIN button to prevent further training on the same data.
            self.button_train.setToolTip(
                'Train button is currently disabled.   ')
            self.button_train.setEnabled(False)
            self.button_train.setStyleSheet(
                """ QPushButton{color:#000000; background-color:#6B6B6B; border-radius:10px;} """
            )

            # disabling the GOBACK button to prevent further training on the same data.
            self.button_mm.setToolTip(
                'Go back button is currently disabled.   ')
            self.button_mm.setEnabled(False)
            self.button_mm.setStyleSheet(
                """ QPushButton{color:#000000; background-color:#6B6B6B; border-radius:10px;} """
            )

            # disabling the ADD DATA button to prevent further training on the same data.
            self.button_add_data.setToolTip(
                'Add Data button is currently disabled.   ')
            self.button_add_data.setEnabled(False)
            self.button_add_data.setStyleSheet(
                """ QPushButton{color:#000000; background-color:#6B6B6B; border-radius:10px;} """
            )

            # disabling the RECORD button to prevent the purther recording.
            self.button_add_record.setToolTip('Click to record live data.   ')
            self.button_add_record.setEnabled(False)
            self.button_add_record.setStyleSheet(
                """ QPushButton{color:#000000; background-color:#6B6B6B; border-radius:10px;} """
            )

            # disabling the close button to prevent further training on the same data.
            # self.setWindowFlag(Qt.WindowCloseButtonHint, False)

            # ProgrssBar definition part here. Running the training in the thread ( background )and poping up
            # the dialog box for waiting. after completeion pop up closed.

            # poping up the progressbar window here and hiding Training Window.
            self.dialog_train = TrainingProgressBar()
            self.dialog_train.show()

            # closing training window here.
            self.hide()

            # to start training in the background.
            self.TrainingLoop()

        else:
            #event.ignore()
            print('exit')

        self.label_blur_img.hide()

# ------------------------------------------------------------------------------------------------------------------------------------------#
################################################  THREAD WITH TRAINING LOOP   ###############################################################
# ------------------------------------------------------------------------------------------------------------------------------------------#

# thread to start the training.

    def TrainingLoop(self):
        thread_train = Timer(1, self.do_training_loop)
        thread_train.daemon = True
        thread_train.start()

    # Definition contains do training part and button enabling.
    def do_training_loop(self):

        # calling training method from Gunshot_Recognition_CNN.py
        do_training()

        # enabling the GOBACK button.
        self.button_mm.setToolTip('Go back to main window.   ')
        self.button_mm.setEnabled(True)
        self.button_mm.setStyleSheet(
            """ QPushButton{color:#ffffff; background-color:#000000; font-weight:bold; border-radius:10px;} 
                                                        QPushButton:hover{color:#ffffff; background-color:#054A73; font-size:13px; font-weight:bold; border-radius:10px; border: 1.5px solid #ffffff;}
                                                        QPushButton:pressed{color:#000000; background-color:#35BEF4; border-radius:10px; border: 1.5px solid #000000;} """
        )

        # enabling the ADD DATA button.
        self.button_add_data.setToolTip('Add new classes to the model.   ')
        self.button_add_data.setEnabled(True)
        self.button_add_data.setStyleSheet(
            """ QPushButton{color:#ffffff; background-color:#000000; font-weight:bold; border-radius:10px;} 
                                                        QPushButton:hover{color:#ffffff; background-color:#054A73; font-size:13px; font-weight:bold; border-radius:10px; border: 1.5px solid #ffffff;}
                                                        QPushButton:pressed{color:#000000; background-color:#35BEF4; border-radius:10px; border: 1.5px solid #000000;} """
        )

        # enabling the RECORD button.
        self.button_add_record.setToolTip('Click to record live data.   ')
        self.button_add_record.setEnabled(True)
        self.button_add_record.setStyleSheet(
            """ QPushButton{color:#ffffff; background-color:#000000; font-weight:bold; border-radius:10px;} 
                                                        QPushButton:hover{color:#ffffff; background-color:#054A73; font-size:13px; font-weight:bold; border-radius:10px; border: 1.5px solid #ffffff;}
                                                        QPushButton:pressed{color:#000000; background-color:#35BEF4; border-radius:10px; border: 1.5px solid #000000;} """
        )

        # going back to the Training window and hiding the Progress bar window.
        #----------------------------------------------------------------------
        self.show()

        self.dialog_train.close()

        # send signal for click the button here to pop up the message.
        #----------------------------------------------------------------------
        self.button_xxx.click()

    # Here i have created the hidden button in the training window so, when we come back from the training
    # the message 'successfully' trained will appear and for that we have auto-click event in above do_training_loop.
    #-----------------------------------------------------------------------------------------------------------------
    def Button_Message_Signal_Trained(self):
        self.button_xxx = QPushButton('', self)
        self.button_xxx.setStyleSheet("background: transparent")
        self.button_xxx.resize(0, 0)
        self.button_xxx.move(0, 0)
        self.button_xxx.clicked.connect(self.send_signal_trained)

    def send_signal_trained(self):
        #self.dialog1 = TrainingProgressBarMessage()
        #self.dialog1.show()

        self.label_blur_img.show()

        x = " Model Trained Successfully, Click 'OK' to go back.       \n\n 1) You can add more data and retrain the model. \n 2) You can do recognition with current trained model. \t"
        QMessageBox.information(self, 'Training Completed.', x, QMessageBox.Ok)
        self.setWindowIcon(QIcon('assets/icon.png'))

        # updating the train accu / loss data display.
        #----------------------------------------------------------------------
        self.DisplayAccLoss()

        self.label_blur_img.hide()

# ----------------------------------------------------------------------------------------------------------------------------------------- #
#####################################################   GO BACK BUTTON   ####################################################################
# ----------------------------------------------------------------------------------------------------------------------------------------- #

    def ButtonMainWindow(self):
        self.button_mm = QPushButton('GO BACK', self)
        self.button_mm.setToolTip('Go back to Main Window')
        self.button_mm.setStyleSheet(
            """ QPushButton{color:#ffffff; background-color:#000000; font-weight:bold; border-radius:10px;} 
                                                        QPushButton:hover{color:#ffffff; background-color:#054A73; font-size:13px; font-weight:bold; border-radius:10px; border: 1.5px solid #ffffff;}
                                                        QPushButton:pressed{color:#000000; background-color:#35BEF4; border-radius:10px; border: 1.5px solid #000000;} """
        )
        self.button_mm.resize(120, 40)
        self.button_mm.move(825, 428)
        self.button_mm.clicked.connect(self.on_click_mm)

    # This click event is used for going back to the main window
    def on_click_mm(self):

        # saving the last known postion of the training window so that another window can appear on the same position.
        self.settings = QSettings(" ", " ")
        self.settings.setValue("geometry", self.saveGeometry())
        self.settings.setValue("windowState", self.saveState())

        self.hide()

        import Gunshot_Recognition_IF_NO_CLASS
        Gunshot_Recognition_IF_NO_CLASS.close_main_window = 2

        from Gunshot_Detection_WINDOW_MAIN import MainWindow
        self.dialog = MainWindow()
        self.dialog.show()


######################################################################################################################################
######################################################################################################################################
######################################################################################################################################

#def run():
#    if __name__ =='__main__':
#
#        QApplication.processEvents()
#        my_app = QCoreApplication.instance()
#        if my_app is None:
#            my_app = QApplication(sys.argv)
#        window = TrainWindow()
#        window.show()
#
#        sys.exit(my_app.exec_())
#
#try:
#    run()
#except Exception as e:
#    print('\nSERVICE SHUTDOWN\n', e)
Example #8
0
class StartWait(QMainWindow):
    def __init__(self):

        QMainWindow.__init__(self)

        self.setFixedSize(350, 150)

        self.setWindowTitle(' Sound Classification v3.0 ')
        self.setWindowIcon(QIcon('assets/icon.png'))

        # make transparent background only gif will be visible.
        #----------------------------------------------------------------------
        self.setAttribute(Qt.WA_TranslucentBackground)
        #self.setWindowOpacity(0.5)
        #self.setAttribute(Qt.WA_NoSystemBackground)

        # remove icon from taskbar.
        #----------------------------------------------------------------------
        #self.setWindowFlags(Qt.Tool)
        #self.setVisible(False)

        # removing the windows title bar
        #----------------------------------------------------------------------
        self.setWindowFlags(Qt.FramelessWindowHint)

        # no minimized window.
        #----------------------------------------------------------------------
        self.setWindowState(Qt.WindowNoState)
        #self.setWindowState(Qt.WindowActive)

        # please wait label.
        #----------------------------------------------------------------------
        self.Label_pw = QLabel(self)
        self.Label_pw.setText("Please Wait")
        self.Label_pw.resize(360, 30)
        self.Label_pw.setAlignment(Qt.AlignCenter)
        self.Label_pw.setStyleSheet(
            "font-size:30px; font-weight:bold; color:#28ADDD")

        # progress bar on app start-up.
        #----------------------------------------------------------------------
        self.Label_ani = QLabel(self)
        self.Label_ani.resize(350, 65)
        self.Label_ani.move(0, 30)
        movie = QMovie("assets/progressBar.gif")
        self.Label_ani.setMovie(movie)
        movie.start()

        # button definition to close the StartWait window
        #----------------------------------------------------------------------
        self.button_close = QPushButton('', self)
        self.button_close.setStyleSheet("background:transparent")
        self.button_close.resize(0, 0)
        self.button_close.move(0, 0)
        self.button_close.clicked.connect(self.send_signal_close)

        # running thread here.
        #----------------------------------------------------------------------
        self.thread_running_keras()

    def send_signal_close(self):
        try:
            print('signal send successfully !')
            self.hide()

            print('Now opening Main Application.')
            from Gunshot_Detection_WINDOW_MAIN import MainWindow
            self.dialog = MainWindow()
            self.dialog.show()

        except Exception as e:
            print('error occured ', e)

    # import keras in thread so that when application run it will take less time in startup.
    #---------------------------------------------------------------------------------------
    def load_keras(self):

        # here we are using while loop because we want to load keras only once.
        #----------------------------------------------------------------------
        while (True):
            import keras
            import tensorflow

            # here we want to close the StartWait window.
            print('tensorflow loaded sucessfuilly!')

            # remember whenever defining the button.click(), keep it always inisde the same class.
            #-------------------------------------------------------------------------------------
            #self.button_close.animateClick()
            self.button_close.click()

            print('button clicked')
            break

    def thread_running_keras(self):

        # running thread to load keras module.
        #----------------------------------------------------------------------
        thread_keras = Timer(0, self.load_keras)
        thread_keras.daemon = True
        thread_keras.start()