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mainGui.py
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"""
NOTE:
This Application has been writen by Srini Prakash Maiya and Siamak Mirifar students at Rosenheim University of Applied Sciences
The purpose of the Code is educational and it is open source license
Course: Digital Signal Processing and Machine learning
Date : 14.Feb.2022
"""
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtWidgets import QMainWindow, QMessageBox
from GuiControlCommand import *
import pyqtgraph as pg
import sys
class Ui_SignalProcessing(QMainWindow):
""" Class used to define the GUI of the project"""
def __init__(self):
""" Global Variable in GUI Loop """
super(Ui_SignalProcessing, self).__init__()
self.setWindowTitle("Signal Processing and Machine Learning")
''' Global GUi Variables '''
#File Path
self.FilePath = "File Path"
#Initialization of the signals
self.sig_ARR = [0] * 1000
self.sig_CHF = [0] * 1000
self.sig_NSR = [0] * 1000
self.imgOne = pg.ImageItem() # Continuous wavelet transformation of the signal
self.imgTwo = pg.ImageItem() # Continuous wavelet transformation of the filtered signal
self.conf_Plt = pg.ImageItem() # Confusion matrix
self.predImg = pg.ImageItem() # Image selected by the user for prediction
self.time = [0] * 1000 # Time(x-axis) for plotting the signal
self.trainAcc = [0]*20 # Initialization of train and validation: accuracy and loss curves
self.valAcc = [0]*20
self.trainLoss = [0]*20
self.valLoss = [0]*20
self.cutoff = 1 # Cutoff frequency
self.fs = 128 # Sampling frequency
# Pens to draw the signal
self.redPen = pg.mkPen((255, 0, 0))
self.greenPen = pg.mkPen((0,255,0))
self.model = None
self.weights = None
self.best_weights = None
self.history = None
self.setupUi()
def setupUi(self): # SignalProcessing
''' define Windows Size: It can be move to other section as well base on u r need'''
pg.setConfigOptions(antialias=True)
SignalProcessing.setObjectName("SignalProcessing")
SignalProcessing.resize(1240, 800)
self.centralwidget = QtWidgets.QWidget() # SignalProcessing: Main Window
self.centralwidget.setObjectName("centralwidget")
self.tabWidget = QtWidgets.QTabWidget(self.centralwidget) # Tab Widget
self.tabWidget.setGeometry(QtCore.QRect(10, 10, 1200, 760))
self.tabWidget.setObjectName("tabWidget")
# Tab1: Visualization of signals
self.tab = QtWidgets.QWidget()
self.tab.setObjectName("tab")
self.cwt = pg.PlotWidget(self.tab) #cwt
self.cwt.setTitle("Scalogram of original signal", color="w")
self.cwt.setGeometry(QtCore.QRect(30, 10, 340, 340))
self.cwt.setStyleSheet("background-color: blue")
self.cwt.setObjectName("cwt")
self.cwt.addItem(self.imgOne)
self.cwtf = pg.PlotWidget(self.tab) #cwt filtered
self.cwtf.setTitle("Scalogram of filtered signal", color="w")
self.cwtf.setGeometry(QtCore.QRect(380, 10, 340, 340))
self.cwtf.setStyleSheet("background-color: white")
self.cwtf.setObjectName("cwtf")
self.cwtf.addItem(self.imgTwo)
self.sig = pg.PlotWidget(self.tab) # signal
self.sig.setTitle("Original Signal", color="w")
self.sig.setGeometry(QtCore.QRect(30, 360, 340, 340))
self.sig.setStyleSheet("background-color: green")
self.sig.setObjectName("sig")
self.firstSignal = self.sig.plot(self.time, self.sig_NSR, pen= self.redPen)
self.sigf = pg.PlotWidget(self.tab) # signal filtered
self.sigf.setTitle("Filtered signal", color="w")
self.sigf.setGeometry(QtCore.QRect(380, 360, 340, 340))
self.sigf.setStyleSheet("background-color: red")
self.sigf.setObjectName("sigf")
self.firstSignalTwo = self.sigf.plot(self.time, self.sig_CHF, pen= self.greenPen)
self.btnLoadData = QtWidgets.QPushButton(self.tab) # Pushbutton to load the data into GUI
self.btnLoadData.setGeometry(QtCore.QRect(950, 20, 151, 51))
self.btnLoadData.setObjectName("btnLoadData")
self.labelSigLength = QtWidgets.QLabel(self.tab) # Label for plot time entry
self.labelSigLength.setGeometry(QtCore.QRect(950, 90, 131, 31))
self.labelSigLength.setObjectName("labelSigLength")
self.txtSigStart = QtWidgets.QTextEdit(self.tab) # Start time of the signal to visualze
self.txtSigStart.setGeometry(QtCore.QRect(950, 130, 60, 30))
self.txtSigStart.setObjectName("txtSigStart")
self.txtSigStart.append("0")
self.txtSigEnd = QtWidgets.QTextEdit(self.tab) # Label for end-time of the signal to visualze
self.txtSigEnd.setGeometry(QtCore.QRect(1050, 130, 60, 30))
self.txtSigEnd.setObjectName("txtLenSignalEnd")
self.txtSigEnd.append("1000")
listSignal = ['ARR', 'CHF', 'NSR'] # Type of signal selection from drop-down menu
self.selectSig = QtWidgets.QComboBox(self.tab)
self.selectSig.setGeometry(QtCore.QRect(950, 180, 151, 51))
self.selectSig.setObjectName("selectSig")
self.selectSig.addItems(listSignal)
self.btnPlotRnd = QtWidgets.QPushButton(self.tab) # Plot the signal and generated wavelets
self.btnPlotRnd.setGeometry(QtCore.QRect(950, 270, 151, 51))
self.btnPlotRnd.setObjectName("btnPlotRnd")
#TAB 2: Training the neural network
self.tabWidget.addTab(self.tab, "")
self.tab_2 = QtWidgets.QWidget()
self.tab_2.setObjectName("tab_2")
#-> Dropdown menu for type of network selection
networkType = ["AlexNet", "GoogLeNet", "SqueezeNet", "ResNet"]
self.NetworkType = QtWidgets.QComboBox(self.tab_2)
self.NetworkType.setGeometry(QtCore.QRect(10, 30, 113, 32))
self.NetworkType.setObjectName("NetworkType")
self.NetworkType.addItems(networkType)
self.labelNetworkType = QtWidgets.QLabel(self.tab_2)
self.labelNetworkType.setGeometry(QtCore.QRect(10, 10, 121, 16))
self.labelNetworkType.setObjectName("labelNetworkType")
#-> Colored box: Train the network
self.widgetWayOne = QtWidgets.QWidget(self.tab_2)
self.widgetWayOne.setGeometry(QtCore.QRect(130, 5, 515, 65))
self.widgetWayOne.setObjectName("widgetWayOne")
self.widgetWayOne.setStyleSheet("background-color:#cac0c0")
#-> Drop down menu for Selection of batch-size
self.lblbatch_size = QtWidgets.QLabel(self.tab_2)
self.lblbatch_size.setGeometry(QtCore.QRect(135, 10, 70, 16))
self.lblbatch_size.setObjectName("lblbatch_size")
self.lblbatch_size.setText("Batch size:")
listbatch_size = ["8","16", "32", "64"]
self.QCombobatch_size = QtWidgets.QComboBox(self.tab_2)
self.QCombobatch_size.setGeometry(QtCore.QRect(135, 30, 70, 32))
self.QCombobatch_size.setObjectName("QCombobatch_size")
self.QCombobatch_size.addItems(listbatch_size)
#->Dropdown menu for learning rate selection
self.lblRate = QtWidgets.QLabel(self.tab_2)
self.lblRate.setGeometry(QtCore.QRect(220, 10, 100, 16))
self.lblRate.setObjectName("lblRate")
self.lblRate.setText("Learning rate:")
listLr = ["0.0001", "0.0003", "0.001", "0.003", "0.01", "0.03"]
self.QComboBoxRate = QtWidgets.QComboBox(self.tab_2)
self.QComboBoxRate.setGeometry(QtCore.QRect(220, 30, 100, 32))
self.QComboBoxRate.setObjectName("QComboBoxRate")
self.QComboBoxRate.addItems(listLr)
#-> Text entry box for number of epochs
self.lblnum_epochs = QtWidgets.QLabel(self.tab_2)
self.lblnum_epochs.setGeometry(QtCore.QRect(335, 10, 50, 20))
self.lblnum_epochs.setObjectName("lblRate")
self.lblnum_epochs.setText("Epochs:")
self.txtNum_epochs = QtWidgets.QTextEdit(self.tab_2)
self.txtNum_epochs.setGeometry(QtCore.QRect(335, 30, 50, 32))
self.txtNum_epochs.setObjectName("txtNum_epochs")
self.txtNum_epochs.setText("10")
#-> Push button for starting the training
self.btnTrain = QtWidgets.QPushButton(self.tab_2)
self.btnTrain.setGeometry(QtCore.QRect(400, 30, 110, 32))
self.btnTrain.setObjectName("btnTrain")
self.labelTrain = QtWidgets.QLabel(self.tab_2)
self.labelTrain.setGeometry(QtCore.QRect(400, 10, 110, 16))
self.labelTrain.setObjectName("labelTrain")
self.labelTrain.setText("Train:")
#->Push button for saving weights
self.btnSaveWts = QtWidgets.QPushButton(self.tab_2)
self.btnSaveWts.setGeometry(QtCore.QRect(525, 30, 113, 32))
self.btnSaveWts.setObjectName("btnSaveWts")
self.btnSaveWts.setText("Save")
self.lblSaveWts = QtWidgets.QLabel(self.tab_2)
self.lblSaveWts.setGeometry(QtCore.QRect(525, 10, 120, 20))
self.lblSaveWts.setObjectName("lblSaveWts")
#-> Color box: Loading the saved weights
self.widgetWayTwo = QtWidgets.QWidget(self.tab_2)
self.widgetWayTwo.setGeometry(QtCore.QRect(650, 5, 326, 65))
self.widgetWayTwo.setObjectName("widgetWayTwo")
self.widgetWayTwo.setStyleSheet("background-color:#C0C0C0")
#-> Push button to load weights
self.btnLoadWeights = QtWidgets.QPushButton(self.tab_2)
self.btnLoadWeights.setGeometry(QtCore.QRect(750, 30, 120,32))
self.btnLoadWeights.setObjectName("Load weights")
self.labelLoadWeights = QtWidgets.QLabel(self.tab_2)
self.labelLoadWeights.setGeometry(QtCore.QRect(750, 10, 132, 20))
self.labelLoadWeights.setObjectName("labelLoadWeights")
#-> Plot train and validation accuracy
self.widgetPlotAcc = pg.PlotWidget(self.tab_2)
self.widgetPlotAcc.setBackground("k")
self.widgetPlotAcc.setGeometry(QtCore.QRect(10, 120, 375, 375))
self.widgetPlotAcc.setTitle("Accuracy Plot", color="w")
self.widgetPlotAcc.addLegend(offset = (220,0))
self.widgetPlotAcc.getPlotItem().showGrid(x=True, y=True, alpha=0.7)
self.trainAccPlot = self.widgetPlotAcc.plot(np.linspace(1, len(self.trainAcc), len(self.trainAcc)),
self.trainAcc, pen = self.redPen, name="Train acc" )
self.valAccPlot = self.widgetPlotAcc.plot(np.linspace(1, len(self.valAcc), len(self.valAcc)),
self.valAcc, pen = self.greenPen, name = "Val acc" )
self.widgetPlotAcc.getPlotItem().setLabel('bottom', "Number of Epochs")
self.widgetPlotAcc.getPlotItem().setLabel('left', "Accuracy")
#-> Plot train and validation loss
self.widgetPlotLoss = pg.PlotWidget(self.tab_2)
self.widgetPlotLoss.setTitle("Loss plot", color="w")
self.widgetPlotAcc.setBackground("k")
self.widgetPlotLoss.setGeometry(QtCore.QRect(400, 120, 375,375))
self.widgetPlotLoss.setObjectName("widgetPlotLoss")
self.widgetPlotLoss.addLegend(offset = (215,-235))
self.widgetPlotLoss.getPlotItem().showGrid(x=True, y=True, alpha=0.7)
self.trainLossPlot = self.widgetPlotLoss.plot(np.linspace(0, len(self.trainLoss), len(self.trainLoss)),
self.trainLoss, pen = self.redPen , name = "Train loss" )
self.valLossPlot = self.widgetPlotLoss.plot(np.linspace(0, len(self.valLoss), len(self.valLoss)),
self.valLoss, pen = self.greenPen , name="Val loss")
self.widgetPlotLoss.getPlotItem().setLabel('bottom', "Number of Epochs")
self.widgetPlotLoss.getPlotItem().setLabel('left', "Loss")
#-> TEST BUTTON: Test the trained model on the test set
self.btnTest = QtWidgets.QPushButton(self.tab_2)
self.btnTest.setGeometry(QtCore.QRect(1020, 30, 130, 30))
self.btnTest.setText("Test")
self.lblTest = QtWidgets.QLabel(self.tab_2)
self.lblTest.setGeometry(QtCore.QRect(1010, 10, 170, 20))
self.lblTest.setText("Run model on Test set:")
#-> MODEL STATS AND PARAMETERS: Write the model statistics and parameters used for training in respective places in the GUI
self.widgetCBox = QtWidgets.QWidget(self.tab_2)
self.widgetCBox.setGeometry(QtCore.QRect(10, 510, 310, 210))
self.widgetCBox.setObjectName("widgetWayOne")
self.widgetCBox.setStyleSheet("background-color:#E5E4E2")
self.lblModelStats = QtWidgets.QLabel(self.tab_2)
self.lblModelStats.setGeometry(QtCore.QRect(125, 520, 120, 20))
self.lblModelStats.setText("Model Stats:")
self.lblModelStats.setStyleSheet("font: 14pt" )
self.lblMName = QtWidgets.QLabel(self.tab_2)
self.lblMName.setGeometry(QtCore.QRect(15, 555, 240, 20))
self.lblMName.setText("Current model")
self.txtModel = QtWidgets.QLabel(self.tab_2)
self.txtModel.setGeometry(QtCore.QRect(125, 555, 120, 20))
self.lblLR = QtWidgets.QLabel(self.tab_2)
self.lblLR.setGeometry(QtCore.QRect(15, 585, 240, 20))
self.lblLR.setText("Learning rate")
self.txtLR = QtWidgets.QLabel(self.tab_2)
self.txtLR.setGeometry(QtCore.QRect(125, 585, 80, 20))
self.lblEpochs = QtWidgets.QLabel(self.tab_2)
self.lblEpochs.setGeometry(QtCore.QRect(15, 615, 240, 20))
self.lblEpochs.setText("Num of Epochs")
self.txtEpochs = QtWidgets.QLabel(self.tab_2)
self.txtEpochs.setGeometry(QtCore.QRect(125, 615, 80, 20))
self.lblBS = QtWidgets.QLabel(self.tab_2)
self.lblBS.setGeometry(QtCore.QRect(15, 645, 240, 20))
self.lblBS.setText("Batch size")
self.txtBS = QtWidgets.QLabel(self.tab_2)
self.txtBS.setGeometry(QtCore.QRect(125, 645, 80, 20))
self.widgetCBox = QtWidgets.QWidget(self.tab_2)
self.widgetCBox.setGeometry(QtCore.QRect(330, 510, 310, 210))
self.widgetCBox.setObjectName("widgetWayOne")
self.widgetCBox.setStyleSheet("background-color:#E5E4E2")
self.valStats = QtWidgets.QLabel(self.tab_2)
self.valStats.setGeometry(QtCore.QRect(435, 520, 240, 20))
self.valStats.setText("Accuracy on:")
self.valStats.setStyleSheet("font: 14pt" )
self.lblValAcc = QtWidgets.QLabel(self.tab_2)
self.lblValAcc.setGeometry(QtCore.QRect(335, 555, 240, 20))
self.lblValAcc.setText("Validation set")
self.txtValAcc = QtWidgets.QLabel(self.tab_2)
self.txtValAcc.setGeometry(QtCore.QRect(445, 555, 80, 20))
self.lblTrainAcc = QtWidgets.QLabel(self.tab_2)
self.lblTrainAcc.setGeometry(QtCore.QRect(335, 585, 240, 20))
self.lblTrainAcc.setText("Training set")
self.txtTrainAcc = QtWidgets.QLabel(self.tab_2)
self.txtTrainAcc.setGeometry(QtCore.QRect(445, 585, 80, 20))
self.widgetCBox = QtWidgets.QWidget(self.tab_2)
self.widgetCBox.setGeometry(QtCore.QRect(650, 510, 310, 210))
self.widgetCBox.setObjectName("widgetWayOne")
self.widgetCBox.setStyleSheet("background-color:#E5E4E2")
self.TestStats = QtWidgets.QLabel(self.tab_2)
self.TestStats.setGeometry(QtCore.QRect(670, 520, 300, 20))
self.TestStats.setText("Classwise-Accuracy on Test Set:")
self.TestStats.setStyleSheet("font: 14pt" )
self.lblARR = QtWidgets.QLabel(self.tab_2)
self.lblARR.setGeometry(QtCore.QRect(675, 555, 240, 20))
self.lblARR.setText("Accuracy on ARR-Signals ")
self.txtAccARR = QtWidgets.QLabel(self.tab_2)
self.txtAccARR.setGeometry(QtCore.QRect(855, 555, 80, 20))
self.lblCHF = QtWidgets.QLabel(self.tab_2)
self.lblCHF.setGeometry(QtCore.QRect(675, 585, 240, 20))
self.lblCHF.setText("Accuracy on CHF-Signals ")
self.txtAccCHF = QtWidgets.QLabel(self.tab_2)
self.txtAccCHF.setGeometry(QtCore.QRect(855, 585, 80, 20))
self.lblNSR = QtWidgets.QLabel(self.tab_2)
self.lblNSR.setGeometry(QtCore.QRect(675, 615, 240, 20))
self.lblNSR.setText("Accuracy on NSR-Signals ")
self.txtAccNSR = QtWidgets.QLabel(self.tab_2)
self.txtAccNSR.setGeometry(QtCore.QRect(855, 615, 80, 20))
self.note = QtWidgets.QLabel(self.tab_2)
self.note.setGeometry(QtCore.QRect(15, 675, 300, 20))
self.note.setText("[ Updates on Training/click of 'Load' button ] ")
self.note = QtWidgets.QLabel(self.tab_2)
self.note.setGeometry(QtCore.QRect(335, 675, 300, 20))
self.note.setText("[ Updates on Training/click of 'Load' button ] ")
self.note = QtWidgets.QLabel(self.tab_2)
self.note.setGeometry(QtCore.QRect(675, 675, 250, 20))
self.note.setText("[ Updates on click of 'Test' button ] ")
#-> Confusion matrix plot
self.widgetPlotConfMat = pg.PlotWidget(self.tab_2)
self.widgetPlotConfMat.setBackground("k")
self.widgetPlotConfMat.setGeometry(QtCore.QRect(790, 120, 375,375))
self.widgetPlotConfMat.setObjectName("widgetPlotLoss")
self.widgetPlotConfMat.getPlotItem().hideAxis('bottom')
self.widgetPlotConfMat.getPlotItem().hideAxis('left')
self.widgetPlotConfMat.addItem(self.conf_Plt)
#-> TAB 3: Prediction plot
self.tabWidget.addTab(self.tab_2, "")
''' Tab prediction '''
self.tabPrediction = QtWidgets.QWidget()
self.tabPrediction.setObjectName("tabPrediction")
self.widgetCBox = QtWidgets.QWidget(self.tabPrediction)
self.widgetCBox.setGeometry(QtCore.QRect(700, 180, 240, 140))
self.widgetCBox.setObjectName("widgetWayOne")
self.widgetCBox.setStyleSheet("background-color:#E5E4E2")
self.labelResu = QtWidgets.QLabel(self.tabPrediction)
self.labelResu.setGeometry(QtCore.QRect(720, 190, 200, 20))
self.labelResu.setObjectName("labelResu")
self.labelResu.setText("Classwise Prediction:")
self.labelResu.setStyleSheet("font:14pt")
self.labelResARR = QtWidgets.QLabel(self.tabPrediction)
self.labelResARR.setGeometry(QtCore.QRect(750, 230, 50, 16))
self.labelResARR.setObjectName("labelResARR")
self.labelResARR.setText("ARR")
self.labelResARR.setStyleSheet("font:11pt")
self.predARR = QtWidgets.QLabel(self.tabPrediction)
self.predARR.setGeometry(810, 230, 65, 16 )
self.predARR.setStyleSheet("font:11pt")
self.labelResCHF = QtWidgets.QLabel(self.tabPrediction)
self.labelResCHF.setGeometry(QtCore.QRect(750, 260, 50, 16))
self.labelResCHF.setObjectName("labelResCHF")
self.labelResCHF.setText("CHF")
self.labelResCHF.setStyleSheet("font:11pt")
self.predCHF = QtWidgets.QLabel(self.tabPrediction)
self.predCHF.setGeometry(810, 260, 65, 16 )
self.predCHF.setStyleSheet("font:11pt")
self.labelResNSR = QtWidgets.QLabel(self.tabPrediction)
self.labelResNSR.setGeometry(QtCore.QRect(750, 290, 50, 16))
self.labelResNSR.setObjectName("labelResNSR")
self.labelResNSR.setText("NSR")
self.labelResNSR.setStyleSheet("font:11pt")
self.predNSR = QtWidgets.QLabel(self.tabPrediction)
self.predNSR.setGeometry(810, 290, 65, 16 )
self.predNSR.setStyleSheet("font:11pt")
self.labelPredictSCL = QtWidgets.QLabel(self.tabPrediction)
self.labelPredictSCL.setGeometry(QtCore.QRect(530, 75, 250, 20))
self.labelPredictSCL.setObjectName("labelPredictSCL")
self.btnPredictSCL = QtWidgets.QPushButton(self.tabPrediction)
self.btnPredictSCL.setGeometry(QtCore.QRect(560, 100, 113, 32))
self.btnPredictSCL.setObjectName("btnPredictSCL")
self.widgetPredicSCL = pg.PlotWidget(self.tabPrediction)
self.widgetPredicSCL.setGeometry(QtCore.QRect(130, 180, 400, 400))
self.widgetPredicSCL.setObjectName("widgetPredicSCL")
self.widgetPredicSCL.addItem(self.predImg)
#-> COnfiguration and connecting the GUI elements
self.tabWidget.addTab(self.tabPrediction, "")
SignalProcessing.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(SignalProcessing)
self.menubar.setGeometry(QtCore.QRect(0, 0, 1122, 22))
self.menubar.setObjectName("menubar")
SignalProcessing.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(SignalProcessing)
self.statusbar.setObjectName("statusbar")
SignalProcessing.setStatusBar(self.statusbar)
self.retranslateUi(SignalProcessing)
self.tabWidget.setCurrentIndex(0)
QtCore.QMetaObject.connectSlotsByName(SignalProcessing)
self.connect()
def retranslateUi(self, SignalProcessing):
'''Retranslation of the GUI elements.'''
_translate = QtCore.QCoreApplication.translate
SignalProcessing.setWindowTitle(_translate("SignalProcessing", "SignalProcessing"))
#TAB1
self.btnLoadData.setText(_translate("SignalProcessing", "Load Data"))
self.btnPlotRnd.setText(_translate("SignalProcessing", "Plot Random Signal"))
self.labelSigLength.setText(_translate("SignalProcessing", "Signal Range:"))
self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab),
_translate("SignalProcessing", "Signal Pre-Processing Observation"))
#TAB2
self.btnTrain.setText(_translate("SignalProcessing", "Start training "))
self.btnLoadWeights.setText(_translate("SignalProcessing", "Load"))
self.labelLoadWeights.setText(_translate("SignalProcessing", "Pretrained weights:"))
self.btnPredictSCL.setText(_translate("SignalProcessing", "Test Sclogram"))
self.lblSaveWts.setText(_translate("SignalProcessing","Save weights:"))
self.labelPredictSCL.setText(_translate("SignalProcessing", "Prediction From Scalogram"))
self.labelNetworkType.setText(_translate("SignalProcessing", "Neural Network:"))
self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab_2), _translate("SignalProcessing", "Training Signal"))
self.tabWidget.setTabText(self.tabWidget.indexOf(self.tabPrediction), _translate("SignalProcessing", "Prediction"))
def connect(self):
''' Define Signal and SLot fo GUI Connection '''
self.btnLoadData.clicked.connect(self.loadData)
self.btnTrain.clicked.connect(self.slotTrainNetwork)
self.btnPlotRnd.clicked.connect(self.plotSignal)
self.btnLoadWeights.clicked.connect(self.slotLoadWWeights)
self.btnSaveWts.clicked.connect(self.slotSaveWeights)
self.btnTest.clicked.connect(self.slotTest)
self.btnPredictSCL.clicked.connect(self.slotPredSCL)
# Connect to the respective functions of GuiControlCommand.py
def loadData(self):
LoadECGData(self)
def plotSignal(self):
plot_signal_rnd(self)
def slotTrainNetwork(self):
trainNetwork(self)
def slotLoadWWeights(self):
load_weights(self)
def slotSaveWeights(self):
save_weights(self)
def slotPredSCL(self):
pred_SCL(self)
def slotTest(self):
validate_test_set(self)
if __name__ == "__main__":
app = QtWidgets.QApplication(sys.argv)
SignalProcessing = QtWidgets.QMainWindow()
ui = Ui_SignalProcessing()
SignalProcessing.show()
sys.exit(app.exec_())