如何解决我正在使用PyQt5创建接口，但脚本会以退出代码-10737407910xC0000409停止
我的项目是识别打印在打印处方中的单词，并找出商店中可用的药丸并将其显示给用户。我为此使用PyQt5，脚本结束且没有错误-“进程以退出代码-1073740791（0xC0000409）完成” 。我不知道是什么问题。请帮助我。
import cv2
import sys
import time
from PyQt5 import QtCore
from PyQt5.QtCore import pyqtSlot
from PyQt5.QtWidgets import QApplication,QMainWindow,QMessageBox
from PyQt5.QtGui import QImage,Qpixmap
from PyQt5.uic import loadUi
import os
from PIL import Image
import PyTesseract
import pandas as pd
class dispensercode(QMainWindow):
def __init__(self):
self.name = 'delila'
super(dispensercode,self).__init__()
loadUi('gui1.ui',self)
self.logic = 0
self.capdone = 0
self.count = 1
self.x = 'm'
self.Confirm.clicked.connect(self.Confirmed)
self.Camon.clicked.connect(self.Camturn)
self.Capture.clicked.connect(self.captureClicked)
@pyqtSlot()
def Confirmed(self):
name = self.NameInput.toPlainText()
self.new_name = name
self.label2.setText('Patient name is ' + name)
return self.new_name
def Camturn(self):
cap = cv2.VideoCapture(0)
while (cap.isOpened()):
ret,frame = cap.read()
if ret == True: # ret is if cam is working
print('here')
self.displayimage(frame,1) # frame is the image
cv2.waitKey()
if (self.logic == 2):
cv2.imwrite('%s.png' % (self.new_name),frame) # %s will be substituted by %(self.value)
self.capdone = 1
print('cap done is ',self.capdone)
# self.textbrowser1.setText('image saved pres cap for another image')
cap.release()
cv2.destroyAllWindows()
if (self.capdone == 1):
self.loadClicked()
self.ocr()
self.capdone = 0
#-------------------create verification pop up window-----------------------------------#
msg = QMessageBox()
msg.setwindowTitle('please verify whether the ocr is correct')
msg.setText(' Click "Accept" if true "Reject" if false')
msg.setIcon(QMessageBox.Question)
msg.setStandardButtons(QMessageBox.Yes | QMessageBox.No)
msg.setinformativeText(self.text)
msg.buttonClicked.connect(self.popup_button)
x = msg.exec_()
print('this is before while is running')
if self.ver() == False:
print('this while is running')
if self.count <= 3:
self.count = self.count + 1
cap = cv2.VideoCapture(0)
while (cap.isOpened()):
ret,frame = cap.read()
if ret == True: # ret is if cam is working
print('here')
self.displayimage(frame,1) # frame is the image
cv2.waitKey()
if (self.logic == 2):
cv2.imwrite('%s.png' % (self.new_name),frame) # %s will be substituted by %(self.value)
self.capdone = 1
print('cap done is ',self.capdone)
# self.textbrowser1.setText('image saved pres cap for another image')
cap.release()
cv2.destroyAllWindows()
if (self.capdone == 1):
self.loadClicked()
self.ocr()
self.capdone = 0
# -------------------create verification pop up window-----------------------------------#
msg = QMessageBox()
msg.setwindowTitle('please verify whether the ocr is correct')
msg.setText(' Click "Accept" if true "Reject" if false')
msg.setIcon(QMessageBox.Question)
msg.setStandardButtons(QMessageBox.Yes | QMessageBox.No)
msg.setinformativeText(self.text)
msg.buttonClicked.connect(self.popup_button)
x = msg.exec_()
elif self.count > 3:
self.label4.setText(
'please type the correct words and save the file and close the txt file and press spacebar')
os.startfile('{}.txt'.format(self.new_name))
break
else :
print('readlist is running')
self.readlist()
self.logic = 1
else:
print('return not found')
def captureClicked(self):
self.logic = 2
def displayimage(self,img,window=1):
qformat = QImage.Format_Indexed8
if len(img.shape) == 3:
if (img.shape[2]) == 4:
qformat = QImage.Format_RGBA8888
else:
qformat = QImage.Format_RGB888
img = QImage(img,img.shape[1],img.shape[0],qformat) # Qimage is used to load the image
img = img.rgbSwapped()
self.label1.setpixmap(Qpixmap.fromImage(img)) # Qpixmap is used to show the image
self.label1.setScaledContents(True) # scale the image according th the frame
self.label1.setAlignment(QtCore.Qt.AlignHCenter | QtCore.Qt.AlignVCenter)
def loadClicked(self):
img1 = cv2.imread("{}.png".format(self.new_name))
self.displayimagef(img1,1)
cv2.destroyAllWindows()
def displayimagef(self,img1,window=1):
qformat = QImage.Format_Indexed8
if len(img1.shape) == 3:
if (img1.shape[2]) == 4:
qformat = QImage.Format_RGBA8888
else:
qformat = QImage.Format_RGB888
img1 = QImage(img1,img1.shape[1],img1.shape[0],qformat) # Qimage is used to load the image
img1 = img1.rgbSwapped()
self.label1.setpixmap(Qpixmap.fromImage(img1)) # Qpixmap is used to show the image
self.label1.setScaledContents(True) # scale the image according th the frame
self.label1.setAlignment(QtCore.Qt.AlignHCenter | QtCore.Qt.AlignVCenter)
def ocr(self):
# load the example image and convert it to grayscale
image = cv2.imread("{}.png".format(self.new_name))
gray = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
# write the grayscale image to disk as a temporary file so we can
# apply OCR to it
filename = "{}.png".format(os.getpid())
cv2.imwrite(filename,gray)
# load the image as a PIL/Pillow image,apply OCR,and then delete
# the temporary file
self.text = PyTesseract.image_to_string(Image.open(filename))
os.remove(filename)
self.label3.setText(self.text)
print('converted to text')
# export to .txt file
# stdoutOrigin = sys.stdout
with open("{}.txt".format(self.new_name),"w") as f:
f.write(self.text)
def popup_button(self,i):
print(i.text())
if i.text() == '&Yes':
self.ver = True
print(self.ver)
return self.ver
else:
self.ver = False
print(self.ver)
return self.ver
def readlist(self):
with open("{}.txt".format(self.new_name)) as f1:
os.startfile('{}.txt'.format(self.new_name))
flat_list = [word for line in f1 for word in line.split()]
print(flat_list)
# ---------read the csv file of pills-------------------------------------------#
df = pd.read_excel('items.xlsx',sheet_name=0) # can also index sheet by name or fetch all sheets
bin_no = df['BIN no'].tolist()
Name = df['Name'].tolist()
content = df['content'].tolist()
print(bin_no)
print(Name)
print(content)
# iterating through the list
final_list = []
i = 0
for i in range(len(flat_list)):
for j in range(len(Name)):
if Name[j] == flat_list[i]:
if content[j] == flat_list[i + 1]:
final_list.append(bin_no[j])
final_list.append(Name[j])
final_list.append(content[j])
x = i
for k in range(x,len(flat_list)):
if 'Supply' == flat_list[k]:
print(flat_list[k + 1])
final_list.append(flat_list[k + 1])
else:
continue
else:
continue
else:
continue
app =QApplication(sys.argv)
window = dispensercode()
window.show()
try:
sys.exit(app.exec_())
except:
print('exiting')
在这里显示的主要错误是“处理完成，退出代码-1073740791（0xC0000409）”
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