Im doing a Computer Vision project that uses deep learning for a pneumonia detector. I ran the training part with no issue but when i try to test with my UI , the application closes after i upload a picture to the ui to predict if the person has pneumonia or not. This message returns Process finished with exit code -1073740791 (0xC0000409).
I want the UI to successfully predict if the person does indeed have pneumonia or not. But so far i am stuck with the problem of the model exiting after a picture is uploadedThis is my UI code:import warningsfrom PIL import Image, ImageEnhancewarnings.filterwarnings('ignore')import tensorflow as tffrom keras.models import load_modelfrom keras.applications.vgg16 import preprocess_inputimport numpy as npfrom keras.preprocessing import image
from PyQt5 import QtCore, QtGui, QtWidgetsfrom PyQt5.QtWidgets import QFileDialog, QMessageBoxfrom PyQt5.QtGui import QMovie
from win32com.client import Dispatch
def speak(str1):speak = Dispatch(("SAPI.SpVoice"))speak.Speak(str1)
class Ui_MainWindow(object):def setupUi(self, MainWindow):MainWindow.setObjectName("MainWindow")MainWindow.resize(695, 609)self.centralwidget = QtWidgets.QWidget(MainWindow)self.centralwidget.setObjectName("centralwidget")self.frame = QtWidgets.QFrame(self.centralwidget)self.frame.setGeometry(QtCore.QRect(0, 0, 701, 611))self.frame.setStyleSheet("background-color: #035874;")self.frame.setFrameShape(QtWidgets.QFrame.StyledPanel)self.frame.setFrameShadow(QtWidgets.QFrame.Raised)self.frame.setObjectName("frame")self.label = QtWidgets.QLabel(self.frame)self.label.setGeometry(QtCore.QRect(80, -60, 541, 561))self.label.setText("")self.gif = QMovie("picture.gif")self.label.setMovie(self.gif)self.gif.start()self.label.setObjectName("label")self.label_2 = QtWidgets.QLabel(self.frame)self.label_2.setGeometry(QtCore.QRect(80, 430, 591, 41))font = QtGui.QFont()font.setPointSize(24)font.setBold(True)font.setWeight(75)self.label_2.setFont(font)self.label_2.setObjectName("label_2")self.pushButton = QtWidgets.QPushButton(self.frame)self.pushButton.setGeometry(QtCore.QRect(30, 530, 201, 31))font = QtGui.QFont()font.setPointSize(12)font.setBold(True)font.setWeight(75)icon = QtGui.QIcon()icon.addPixmap(QtGui.QPixmap("patient.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off)MainWindow.setWindowIcon(icon)self.pushButton.setFont(font)self.pushButton.setStyleSheet("QPushButton{\n""border-radius: 10px;\n"" background-color:#DF582C;\n""}\n""QPushButton:hover {\n"" background-color: #7D93E0;\n""}")self.pushButton.setObjectName("pushButton")self.pushButton_2 = QtWidgets.QPushButton(self.frame)self.pushButton_2.setGeometry(QtCore.QRect(450, 530, 201, 31))font = QtGui.QFont()font.setPointSize(12)font.setBold(True)font.setWeight(75)self.pushButton_2.setFont(font)self.pushButton_2.setStyleSheet("QPushButton{\n""border-radius: 10px;\n"" background-color:#DF582C;\n""}\n""QPushButton:hover {\n"" background-color: #7D93E0;\n""}")self.pushButton_2.setObjectName("pushButton_2")
# New QLabel to display the uploaded image self.label_3 = QtWidgets.QLabel(self.frame) self.label_3.setGeometry(QtCore.QRect(250, 10, 400, 400)) self.label_3.setText("") self.label_3.setObjectName("label_3") MainWindow.setCentralWidget(self.centralwidget) self.retranslateUi(MainWindow) QtCore.QMetaObject.connectSlotsByName(MainWindow) self.pushButton.clicked.connect(self.upload_image) self.pushButton_2.clicked.connect(self.predict_result)def retranslateUi(self, MainWindow): _translate = QtCore.QCoreApplication.translate MainWindow.setWindowTitle(_translate("MainWindow", "PNEUMONIA Detection App")) self.label.setToolTip(_translate("MainWindow", "<html><head/><body><p><img src=\":/newPrefix/picture.gif\"/></p></body></html>")) self.label_2.setText(_translate("MainWindow", "Chest X-ray PNEUMONIA Detection")) self.pushButton.setText(_translate("MainWindow", "Upload Image")) self.pushButton_2.setText(_translate("MainWindow", "Prediction"))def upload_image(self): filename, _ = QFileDialog.getOpenFileName() if filename: path = str(filename) print(path) self.img_path = path self.model = load_model('chest_xray.h5') # Display the uploaded image pixmap = QtGui.QPixmap(path) pixmap = pixmap.scaledToWidth(400) # Adjust the width as needed self.label_3.setPixmap(pixmap)def predict_result(self): if hasattr(self, 'img_path'): img_file = image.load_img(self.img_path, target_size=(224, 224)) x = image.img_to_array(img_file) x = np.expand_dims(x, axis=0) img_data = preprocess_input(x) result = self.model.predict(img_data) print(result) if result[0][0] > 0.5: print("Result is Normal") speak("Result is Normal") else: print("Affected By PNEUMONIA") speak("Affected By PNEUMONIA") else: QMessageBox.warning(self.frame, 'Warning', 'Please upload an image first.')if name == "main":import sysapp = QtWidgets.QApplication(sys.argv)MainWindow = QtWidgets.QMainWindow()ui = Ui_MainWindow()ui.setupUi(MainWindow)MainWindow.show()sys.exit(app.exec_())This message returns and the program stops altogether: Process finished with exit code -1073740791 (0xC0000409).