PyQt 多线程多进程研究

杰哥，PyQT系统界面卡顿的问题是因为检测图片的耗时太长了，大概一张图片四十多秒。如果用多线程来解决耗时几秒的任务，是可以在之前卡顿问题上进一步解决的。但是不能解决像我们这种超长耗时的任务的，只能利用多线程来避免。我尝试用多进程来解决，还是没办法解决这种问题。

完成的多进程操作，但是仍然未响应

test2.py

# -*- coding: utf-8 -*-

# Form implementation generated from reading ui file 'test2.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again.  Do not edit this file unless you know what you are doing.
'''
这个文件用于显示PyQt，无需输入正确的账号和密码就可以登录进去
选择图片的时候只能选择28*28像素的图片，也就是TestDigitImgs的第一张图片
'''
'''PyQt'''
import cv2
import numpy as np
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QFileDialog
from PyQt5.QtCore import QUrl
from PyQt5.QtGui import QDesktopServices

from docx2pdf import convert
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QApplication
from infer_config import acne_infer_config
import math
from datetime import datetime
from PyQt5.QtCore import QTimer, Qt
from PyQt5.QtGui import QPixmap
from PyQt5.QtCore import QThread, pyqtSignal
from PyQt5.QtWidgets import  QApplication, QFileDialog
from PyQt5.Qt import Qt, QIcon
from PyQt5 import QtCore, QtGui, QtWidgets
'''调用类'''
from Docx import GenerateDocx
import os

import multiprocessing
import cv2
import numpy as np
from infer_config import acne_infer_config
from mmdeploy_runtime import Detector, Classifier
import utils


INFER_WINDOW_SIZE = [1024, 1024]
INFER_WINDOW_STRIDES = (960, 960)
OVERLAP_NMS_THRESHOLD = 0.5
BBOX_DISPLAY_CONFIDENCE = 0.5

CATEGORY_COLOR = {   
    'papule':(140,240,255),
    'nevus':(162,247,223),
    'nodule':(152,192,250),
    'open_comedo':(86,143,128),
    'closed_comedo':(60,57,166),
    'atrophic_scar':(103,49,132),
    'hypertrophic_scar':(249,233,160),
    'melasma':(164,93,222),
    'pustule':(235,177,161),
    'other':(233,222,252)
    }

CATEGORY_INDEX = {0:'papule',
                  1:'nevus',
                  2:'nodule',
                  3:'open_comedo',
                  4:'closed_comedo',
                  5:'atrophic_scar',
                  6:'hypertrophic_scar',
                  7:'melasma',
                  8:'pustule',
                  9:'other'}

CLASSIFICATION_DRUG = {
    1:"无需治疗",
    2:"BPO或弱效维A酸类外用",
    3:"BPO联合维A酸类外用",
    4:"BPO联合维A酸,考虑口服抗生素",
    5:"BPO联合维A酸,口服抗生素",
    6:"BPO联合维A酸,口服抗生素,并开始考虑异维A酸",
    7:"BPO联合维A酸,口服抗生素,推荐异维A酸",
    8:"异维A酸"
}


QApplication.processEvents()


class Ui_MainWindow(object):
    def setupUi(self, MainWindow):
        MainWindow.setObjectName("MainWindow")
        MainWindow.resize(1410, 902)
        MainWindow.setWindowIcon(QIcon('./icon/main.ico'))
        self.centralwidget = QtWidgets.QWidget(MainWindow)
        self.centralwidget.setObjectName("centralwidget")
        self.verticalLayout = QtWidgets.QVBoxLayout(self.centralwidget)
        self.verticalLayout.setObjectName("verticalLayout")
        self.groupBox_main = QtWidgets.QGroupBox(self.centralwidget)
        self.groupBox_main.setTitle("")
        self.groupBox_main.setObjectName("groupBox_main")
        self.verticalLayout_2 = QtWidgets.QVBoxLayout(self.groupBox_main)
        self.verticalLayout_2.setObjectName("verticalLayout_2")
        self.horizontalLayout_largest = QtWidgets.QHBoxLayout()
        self.horizontalLayout_largest.setObjectName("horizontalLayout_largest")
        self.groupBox_left = QtWidgets.QGroupBox(self.groupBox_main)
        self.groupBox_left.setMinimumSize(QtCore.QSize(320, 0))
        self.groupBox_left.setMaximumSize(QtCore.QSize(320, 16777215))
        self.groupBox_left.setTitle("")
        self.groupBox_left.setObjectName("groupBox_left")
        self.verticalLayout_8 = QtWidgets.QVBoxLayout(self.groupBox_left)
        self.verticalLayout_8.setObjectName("verticalLayout_8")
        self.groupBox_menu = QtWidgets.QGroupBox(self.groupBox_left)
        self.groupBox_menu.setMaximumSize(QtCore.QSize(16777215, 40))
        self.groupBox_menu.setTitle("")
        self.groupBox_menu.setObjectName("groupBox_menu")
        self.horizontalLayout_6 = QtWidgets.QHBoxLayout(self.groupBox_menu)
        self.horizontalLayout_6.setObjectName("horizontalLayout_6")
        self.label_menu = QtWidgets.QLabel(self.groupBox_menu)
        self.label_menu.setStyleSheet("font-size: 22px;")
        self.label_menu.setObjectName("label_menu")
        self.horizontalLayout_6.addWidget(self.label_menu)
        spacerItem = QtWidgets.QSpacerItem(205, 17, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)
        self.horizontalLayout_6.addItem(spacerItem)
        self.verticalLayout_8.addWidget(self.groupBox_menu)
        self.groupBox_startAction = QtWidgets.QGroupBox(self.groupBox_left)
        self.groupBox_startAction.setMaximumSize(QtCore.QSize(16777215, 130))
        self.groupBox_startAction.setTitle("")
        self.groupBox_startAction.setObjectName("groupBox_startAction")
        self.verticalLayout_4 = QtWidgets.QVBoxLayout(self.groupBox_startAction)
        self.verticalLayout_4.setObjectName("verticalLayout_4")
        self.horizontalLayout_imgAndDir = QtWidgets.QHBoxLayout()
        self.horizontalLayout_imgAndDir.setObjectName("horizontalLayout_imgAndDir")
        self.pushButton_selectImg = QtWidgets.QPushButton(self.groupBox_startAction)
        self.pushButton_selectImg.setMinimumSize(QtCore.QSize(0, 40))
        self.pushButton_selectImg.setStyleSheet("font-size: 18px;")
        self.pushButton_selectImg.setObjectName("pushButton_selectImg")
        self.horizontalLayout_imgAndDir.addWidget(self.pushButton_selectImg)
        self.pushButton_selectDir = QtWidgets.QPushButton(self.groupBox_startAction)
        self.pushButton_selectDir.setMinimumSize(QtCore.QSize(0, 40))
        self.pushButton_selectDir.setStyleSheet("font-size: 18px;")
        self.pushButton_selectDir.setObjectName("pushButton_selectDir")
        self.horizontalLayout_imgAndDir.addWidget(self.pushButton_selectDir)
        self.verticalLayout_4.addLayout(self.horizontalLayout_imgAndDir)
        self.pushButton_startAction = QtWidgets.QPushButton(self.groupBox_startAction)
        self.pushButton_startAction.setMinimumSize(QtCore.QSize(50, 40))
        self.pushButton_startAction.setStyleSheet("font-size: 18px;")
        self.pushButton_startAction.setObjectName("pushButton_startAction")
        self.verticalLayout_4.addWidget(self.pushButton_startAction)
        self.verticalLayout_8.addWidget(self.groupBox_startAction)
        self.groupBox = QtWidgets.QGroupBox(self.groupBox_left)
        self.groupBox.setTitle("")
        self.groupBox.setObjectName("groupBox")
        self.horizontalLayout_3 = QtWidgets.QHBoxLayout(self.groupBox)
        self.horizontalLayout_3.setObjectName("horizontalLayout_3")
        self.horizontalLayout = QtWidgets.QHBoxLayout()
        self.horizontalLayout.setObjectName("horizontalLayout")
        self.pushButton_save = QtWidgets.QPushButton(self.groupBox)
        self.pushButton_save.setMinimumSize(QtCore.QSize(0, 40))
        self.pushButton_save.setStyleSheet("font-size: 18px;")
        self.pushButton_save.setObjectName("pushButton_save")
        self.horizontalLayout.addWidget(self.pushButton_save)
        self.lineEdit_savePath = QtWidgets.QLineEdit(self.groupBox)
        self.lineEdit_savePath.setMinimumSize(QtCore.QSize(0, 40))
        self.lineEdit_savePath.setObjectName("lineEdit_savePath")
        self.horizontalLayout.addWidget(self.lineEdit_savePath)
        self.horizontalLayout_3.addLayout(self.horizontalLayout)
        self.verticalLayout_8.addWidget(self.groupBox)
        self.groupBox_showDir = QtWidgets.QGroupBox(self.groupBox_left)
        self.groupBox_showDir.setMaximumSize(QtCore.QSize(16777215, 55))
        self.groupBox_showDir.setTitle("")
        self.groupBox_showDir.setObjectName("groupBox_showDir")
        self.horizontalLayout_10 = QtWidgets.QHBoxLayout(self.groupBox_showDir)
        self.horizontalLayout_10.setObjectName("horizontalLayout_10")
        self.pushButton_showPDF = QtWidgets.QPushButton(self.groupBox_showDir)
        self.pushButton_showPDF.setMinimumSize(QtCore.QSize(0, 40))
        self.pushButton_showPDF.setStyleSheet("font-size: 18px;")
        self.pushButton_showPDF.setObjectName("pushButton_showPDF")
        self.horizontalLayout_10.addWidget(self.pushButton_showPDF)
        self.verticalLayout_8.addWidget(self.groupBox_showDir)
        self.verticalLayout_result = QtWidgets.QVBoxLayout()
        self.verticalLayout_result.setObjectName("verticalLayout_result")
        self.groupBox_resultTitle = QtWidgets.QGroupBox(self.groupBox_left)
        self.groupBox_resultTitle.setMinimumSize(QtCore.QSize(0, 50))
        self.groupBox_resultTitle.setMaximumSize(QtCore.QSize(16777215, 50))
        self.groupBox_resultTitle.setTitle("")
        self.groupBox_resultTitle.setObjectName("groupBox_resultTitle")
        self.horizontalLayout_8 = QtWidgets.QHBoxLayout(self.groupBox_resultTitle)
        self.horizontalLayout_8.setObjectName("horizontalLayout_8")
        self.label_resultTitle = QtWidgets.QLabel(self.groupBox_resultTitle)
        self.label_resultTitle.setStyleSheet("font-size: 22px;")
        self.label_resultTitle.setObjectName("label_resultTitle")
        self.horizontalLayout_8.addWidget(self.label_resultTitle)
        spacerItem1 = QtWidgets.QSpacerItem(181, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)
        self.horizontalLayout_8.addItem(spacerItem1)
        self.verticalLayout_result.addWidget(self.groupBox_resultTitle)
        self.groupBox_resultContent = QtWidgets.QGroupBox(self.groupBox_left)
        self.groupBox_resultContent.setMinimumSize(QtCore.QSize(0, 50))
        self.groupBox_resultContent.setTitle("")
        self.groupBox_resultContent.setObjectName("groupBox_resultContent")
        self.horizontalLayout_9 = QtWidgets.QHBoxLayout(self.groupBox_resultContent)
        self.horizontalLayout_9.setObjectName("horizontalLayout_9")
        self.listWidget = QtWidgets.QListWidget(self.groupBox_resultContent)
        self.listWidget.setLayoutDirection(QtCore.Qt.LeftToRight)
        self.listWidget.setStyleSheet("font-size: 14px;")
        self.listWidget.setIconSize(QtCore.QSize(7, 7))
        self.listWidget.setObjectName("listWidget")
        item = QtWidgets.QListWidgetItem()
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        icon = QtGui.QIcon()
        icon.addPixmap(QtGui.QPixmap("./icon/closed_comedo.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
        item.setIcon(icon)
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        icon1 = QtGui.QIcon()
        icon1.addPixmap(QtGui.QPixmap("./icon/opend_comedo.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
        item.setIcon(icon1)
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        icon2 = QtGui.QIcon()
        icon2.addPixmap(QtGui.QPixmap("./icon/papule.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
        item.setIcon(icon2)
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        icon3 = QtGui.QIcon()
        icon3.addPixmap(QtGui.QPixmap("./icon/pustule.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
        item.setIcon(icon3)
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        icon4 = QtGui.QIcon()
        icon4.addPixmap(QtGui.QPixmap("./icon/nodule.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
        item.setIcon(icon4)
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        icon5 = QtGui.QIcon()
        icon5.addPixmap(QtGui.QPixmap("./icon/atrophic_scar.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
        item.setIcon(icon5)
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        icon6 = QtGui.QIcon()
        icon6.addPixmap(QtGui.QPixmap("./icon/hypertrophic_scar.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
        item.setIcon(icon6)
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        icon7 = QtGui.QIcon()
        icon7.addPixmap(QtGui.QPixmap("./icon/melasma.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
        item.setIcon(icon7)
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        icon8 = QtGui.QIcon()
        icon8.addPixmap(QtGui.QPixmap("./icon/nevus.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
        item.setIcon(icon8)
        self.listWidget.addItem(item)
        item = QtWidgets.QListWidgetItem()
        icon9 = QtGui.QIcon()
        icon9.addPixmap(QtGui.QPixmap("./icon/other.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
        item.setIcon(icon9)
        self.listWidget.addItem(item)
        self.horizontalLayout_9.addWidget(self.listWidget)
        self.verticalLayout_result.addWidget(self.groupBox_resultContent)
        self.verticalLayout_8.addLayout(self.verticalLayout_result)
        self.verticalLayout_advice = QtWidgets.QVBoxLayout()
        self.verticalLayout_advice.setObjectName("verticalLayout_advice")
        self.groupBox_10 = QtWidgets.QGroupBox(self.groupBox_left)
        self.groupBox_10.setMinimumSize(QtCore.QSize(0, 50))
        self.groupBox_10.setMaximumSize(QtCore.QSize(16777215, 50))
        self.groupBox_10.setTitle("")
        self.groupBox_10.setObjectName("groupBox_10")
        self.horizontalLayout_12 = QtWidgets.QHBoxLayout(self.groupBox_10)
        self.horizontalLayout_12.setObjectName("horizontalLayout_12")
        self.label_adviceTitle = QtWidgets.QLabel(self.groupBox_10)
        self.label_adviceTitle.setStyleSheet("font-size: 22px;")
        self.label_adviceTitle.setObjectName("label_adviceTitle")
        self.horizontalLayout_12.addWidget(self.label_adviceTitle)
        spacerItem2 = QtWidgets.QSpacerItem(137, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)
        self.horizontalLayout_12.addItem(spacerItem2)
        self.verticalLayout_advice.addWidget(self.groupBox_10)
        self.groupBox_12 = QtWidgets.QGroupBox(self.groupBox_left)
        self.groupBox_12.setMinimumSize(QtCore.QSize(0, 50))
        self.groupBox_12.setMaximumSize(QtCore.QSize(16777215, 120))
        self.groupBox_12.setTitle("")
        self.groupBox_12.setObjectName("groupBox_12")
        self.horizontalLayout_13 = QtWidgets.QHBoxLayout(self.groupBox_12)
        self.horizontalLayout_13.setObjectName("horizontalLayout_13")
        self.label_adviceResult = QtWidgets.QLabel(self.groupBox_12)
        self.label_adviceResult.setMinimumSize(QtCore.QSize(0, 50))
        self.label_adviceResult.setMaximumSize(QtCore.QSize(16777215, 120))
        self.label_adviceResult.setStyleSheet("font-size: 16px;")
        self.label_adviceResult.setAlignment(QtCore.Qt.AlignCenter)
        self.label_adviceResult.setObjectName("label_adviceResult")
        self.horizontalLayout_13.addWidget(self.label_adviceResult)
        self.verticalLayout_advice.addWidget(self.groupBox_12)
        self.verticalLayout_8.addLayout(self.verticalLayout_advice)
        self.horizontalLayout_largest.addWidget(self.groupBox_left)
        self.groupBox_right = QtWidgets.QGroupBox(self.groupBox_main)
        self.groupBox_right.setTitle("")
        self.groupBox_right.setObjectName("groupBox_right")
        self.verticalLayout_3 = QtWidgets.QVBoxLayout(self.groupBox_right)
        self.verticalLayout_3.setObjectName("verticalLayout_3")
        self.groupBox_selectImg = QtWidgets.QGroupBox(self.groupBox_right)
        self.groupBox_selectImg.setMaximumSize(QtCore.QSize(16777215, 40))
        self.groupBox_selectImg.setTitle("")
        self.groupBox_selectImg.setObjectName("groupBox_selectImg")
        self.horizontalLayout_5 = QtWidgets.QHBoxLayout(self.groupBox_selectImg)
        self.horizontalLayout_5.setObjectName("horizontalLayout_5")
        self.label_imgTitle = QtWidgets.QLabel(self.groupBox_selectImg)
        self.label_imgTitle.setStyleSheet("font-size: 20px;")
        self.label_imgTitle.setObjectName("label_imgTitle")
        self.horizontalLayout_5.addWidget(self.label_imgTitle)
        self.lineEdit_imgPath = QtWidgets.QLineEdit(self.groupBox_selectImg)
        self.lineEdit_imgPath.setMinimumSize(QtCore.QSize(0, 25))
        self.lineEdit_imgPath.setMaximumSize(QtCore.QSize(300, 16777215))
        self.lineEdit_imgPath.setObjectName("lineEdit_imgPath")
        self.horizontalLayout_5.addWidget(self.lineEdit_imgPath)
        spacerItem3 = QtWidgets.QSpacerItem(287, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)
        self.horizontalLayout_5.addItem(spacerItem3)
        self.label_5 = QtWidgets.QLabel(self.groupBox_selectImg)
        self.label_5.setText("")
        self.label_5.setObjectName("label_5")
        self.horizontalLayout_5.addWidget(self.label_5)
        self.verticalLayout_3.addWidget(self.groupBox_selectImg)
        self.horizontalLayout_imgs = QtWidgets.QHBoxLayout()
        self.horizontalLayout_imgs.setObjectName("horizontalLayout_imgs")
        self.label_showImg = QtWidgets.QLabel(self.groupBox_right)
        self.label_showImg.setMinimumSize(QtCore.QSize(500, 0))
        self.label_showImg.setText("")
        self.label_showImg.setAlignment(QtCore.Qt.AlignCenter)
        self.label_showImg.setObjectName("label_showImg")
        self.horizontalLayout_imgs.addWidget(self.label_showImg)
        spacerItem4 = QtWidgets.QSpacerItem(10, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
        self.horizontalLayout_imgs.addItem(spacerItem4)
        self.label_showImg2 = QtWidgets.QLabel(self.groupBox_right)
        self.label_showImg2.setMinimumSize(QtCore.QSize(500, 0))
        self.label_showImg2.setText("")
        self.label_showImg2.setAlignment(QtCore.Qt.AlignCenter)
        self.label_showImg2.setObjectName("label_showImg2")
        self.horizontalLayout_imgs.addWidget(self.label_showImg2)
        self.verticalLayout_3.addLayout(self.horizontalLayout_imgs)
        self.horizontalLayout_pageTurning = QtWidgets.QHBoxLayout()
        self.horizontalLayout_pageTurning.setObjectName("horizontalLayout_pageTurning")
        self.prev_image_button = QtWidgets.QPushButton(self.groupBox_right)
        self.prev_image_button.setMinimumSize(QtCore.QSize(0, 30))
        self.prev_image_button.setObjectName("prev_image_button")
        self.horizontalLayout_pageTurning.addWidget(self.prev_image_button)
        self.label_pageNum = QtWidgets.QLabel(self.groupBox_right)
        self.label_pageNum.setMaximumSize(QtCore.QSize(60, 16777215))
        self.label_pageNum.setAlignment(QtCore.Qt.AlignCenter)
        self.label_pageNum.setObjectName("label_pageNum")
        self.horizontalLayout_pageTurning.addWidget(self.label_pageNum)
        self.next_image_button = QtWidgets.QPushButton(self.groupBox_right)
        self.next_image_button.setMinimumSize(QtCore.QSize(0, 30))
        self.next_image_button.setObjectName("next_image_button")
        self.horizontalLayout_pageTurning.addWidget(self.next_image_button)
        self.verticalLayout_3.addLayout(self.horizontalLayout_pageTurning)
        self.horizontalLayout_largest.addWidget(self.groupBox_right)
        self.verticalLayout_2.addLayout(self.horizontalLayout_largest)
        self.groupBox_botton = QtWidgets.QGroupBox(self.groupBox_main)
        self.groupBox_botton.setTitle("")
        self.groupBox_botton.setObjectName("groupBox_botton")
        self.horizontalLayout_2 = QtWidgets.QHBoxLayout(self.groupBox_botton)
        self.horizontalLayout_2.setObjectName("horizontalLayout_2")
        self.label_condition = QtWidgets.QLabel(self.groupBox_botton)
        self.label_condition.setObjectName("label_condition")
        self.horizontalLayout_2.addWidget(self.label_condition)
        self.verticalLayout_2.addWidget(self.groupBox_botton)
        self.verticalLayout.addWidget(self.groupBox_main)
        MainWindow.setCentralWidget(self.centralwidget)

        self.retranslateUi(MainWindow)
        QtCore.QMetaObject.connectSlotsByName(MainWindow)

    def retranslateUi(self, MainWindow):
        _translate = QtCore.QCoreApplication.translate
        MainWindow.setWindowTitle(_translate("MainWindow", "痤疮检测"))
        self.label_menu.setText(_translate("MainWindow", "菜单栏"))
        self.pushButton_selectImg.setText(_translate("MainWindow", "选择图片"))
        self.pushButton_selectDir.setText(_translate("MainWindow", "选择文件夹"))
        self.pushButton_startAction.setText(_translate("MainWindow", "开始检测"))
        self.pushButton_save.setText(_translate("MainWindow", "保存报告"))
        self.pushButton_showPDF.setText(_translate("MainWindow", "显示输出文件夹"))
        self.label_resultTitle.setText(_translate("MainWindow", "检测结果"))
        __sortingEnabled = self.listWidget.isSortingEnabled()
        self.listWidget.setSortingEnabled(False)
        item = self.listWidget.item(0)
        item.setText(_translate("MainWindow", "痤疮分级结果：待检测"))
        item = self.listWidget.item(2)
        item.setText(_translate("MainWindow", "各类别痤疮检测数量："))
        item = self.listWidget.item(4)
        item.setText(_translate("MainWindow", "  闭口粉刺：待检测"))
        item = self.listWidget.item(5)
        item.setText(_translate("MainWindow", "  开口粉刺：待检测"))
        item = self.listWidget.item(6)
        item.setText(_translate("MainWindow", "  丘疹：待检测"))
        item = self.listWidget.item(7)
        item.setText(_translate("MainWindow", "  脓疱：待检测"))
        item = self.listWidget.item(8)
        item.setText(_translate("MainWindow", "  结节：待检测"))
        item = self.listWidget.item(9)
        item.setText(_translate("MainWindow", "  萎缩性瘢痕：待检测"))
        item = self.listWidget.item(10)
        item.setText(_translate("MainWindow", "  增生性瘢痕刺：待检测"))
        item = self.listWidget.item(11)
        item.setText(_translate("MainWindow", "  斑：待检测"))
        item = self.listWidget.item(12)
        item.setText(_translate("MainWindow", "  色素痣：待检测"))
        item = self.listWidget.item(13)
        item.setText(_translate("MainWindow", "  其他：待检测"))
        self.listWidget.setSortingEnabled(__sortingEnabled)
        self.label_adviceTitle.setText(_translate("MainWindow", "推荐治疗方案"))
        self.label_adviceResult.setText(_translate("MainWindow", "用药指南"))
        self.label_imgTitle.setText(_translate("MainWindow", "所选图片"))
        self.prev_image_button.setText(_translate("MainWindow", "上一页"))
        self.label_pageNum.setText(_translate("MainWindow", "共 0 页"))
        self.next_image_button.setText(_translate("MainWindow", "下一页"))
        self.label_condition.setText(_translate("MainWindow", "系统运行情况"))

        # self.worker_thread = WorkerThread(self)
        # self.worker_thread_pdf = WorkerThread_pdf(self)

        # 按钮关联函数
        self.pushButton_selectDir.clicked.connect(self.openImageFolder)
        # self.pushButton_startAction.clicked.connect(self.startAction)
        self.pushButton_selectImg.clicked.connect(self.openImage)

        self.pushButton_startAction.clicked.connect(self.start_work)
        # self.worker_thread.finished.connect(self.on_worker_finished)

        self.pushButton_save.clicked.connect(self.start_work_pdf)
        # self.worker_thread_pdf.finished.connect(self.on_worker_finished_pdf)

        self.pushButton_showPDF.clicked.connect(self.button_show_dir)

        self.prev_image_button.clicked.connect(self.showPrevImage)
        self.next_image_button.clicked.connect(self.showNextImage)
        self.timer = QTimer()
        
        QApplication.processEvents()

    def start_work(self):
        # self.worker_thread = WorkerThread(self)
        # 启动工作线程
        QApplication.processEvents()
        if len(self.selected_imgsPath) == 0:
            return
        self.pushButton_startAction.setEnabled(False)  # 禁用按钮
        self.pushButton_selectImg.setEnabled(False)  # 禁用按钮
        self.pushButton_save.setEnabled(False)  # 禁用按钮
        self.pushButton_showPDF.setEnabled(False)  # 禁用按钮
        self.pushButton_selectDir.setEnabled(False)  # 禁用按钮
        self.prev_image_button.setEnabled(False)
        self.next_image_button.setEnabled(False)
        # self.timer.start(1)
        # self.worker_thread.start()
        self.grading_result = 0 # 从1开始的痤疮等级
        self.count = 0
        # 判断是否选择了图片
        if len(self.selected_imgsPath) == 0:
            print("未选择图片")
            return
        
        for i in range(len(self.selected_imgsPath)):
            QApplication.processEvents()
            self.count = i+1
            # self.label_showResult.setText(f'正在检测第{count}张图片')
            self.label_condition.setText(f'请耐心等待,正在检测第{self.count}张图片')
            image = cv2.imread(self.selected_imgsPath[i])

            self.shared_dict['image'] = image
            process = MyProcess(self.shared_dict)
            process.start()
            process.join()

            # bboxes, labels, masks = self.acne_instance_seg(image, self.detector)
            # cls_result = self.acne_severity_grading(image, self.classifier)
            bboxes = self.shared_dict['bboxes']
            labels = self.shared_dict['labels']
            masks = self.shared_dict['masks']
            cls_result = self.shared_dict['cls_result']

            self.grading_result = cls_result[0][0]+1

            indices = [i for i in range(len(bboxes))]
            QApplication.processEvents()

            category_count = {   
            'papule':0,
            'nevus':0,
            'nodule':0,
            'open_comedo':0,
            'closed_comedo':0,
            'atrophic_scar':0,
            'hypertrophic_scar':0,
            'melasma':0,
            'pustule':0,
            'other':0
            }
            
            for index, bbox, label_id in zip(indices, bboxes, labels):
                QApplication.processEvents()
                # print(count,index,bbox,label_id)
                [left, top, right, bottom], score = bbox[0:4].astype(int), bbox[4]
                if score < BBOX_DISPLAY_CONFIDENCE:
                    continue

                color = CATEGORY_COLOR[CATEGORY_INDEX[label_id]]
                cv2.rectangle(image, (left, top), (right, bottom), color)

                label_text = f"{CATEGORY_INDEX[label_id]} | {int(100 * score)}%"  # 使用痤疮的标签作为标注信息
                cv2.putText(image, label_text, (left, top - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 1)  # 添加标注信息

                if masks[index].size:
                    mask = masks[index]
                    if mask.shape == image.shape[:2]:  # rtmdet-inst
                        mask_img = image.copy()
                    else:  # maskrcnn
                        x0 = int(max(math.floor(bbox[0]) - 1, 0))
                        y0 = int(max(math.floor(bbox[1]) - 1, 0))
                        mask_img = image[y0:y0 + mask.shape[0], x0:x0 + mask.shape[1]]
                    mask_img[mask.astype(bool)] = color

                category_count[CATEGORY_INDEX[label_id]] += 1
                

            text = f'Prediction: {cls_result[0][0]}, {cls_result[0][1]:.4f} ' \
                f'({acne_infer_config["classifier"]["classes"][cls_result[0][0]]})'
            
            cv2.putText(image, text, (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (255, 255, 255), 2)

            img_name = os.path.splitext(os.path.basename(self.selected_imgsPath[i]))[0]

            # 获取当前日期和时间
            now = datetime.now()
            # 提取年、月和日
            year = now.year
            month = now.month
            day = now.day
            generated_image_path = f"./result/{img_name}_report_{year}_{month}_{day}.jpg"
        
            cv2.imwrite(generated_image_path , image)
            self.generated_image_paths.append(generated_image_path)

        
            closed_comedo_count = category_count['closed_comedo']
            open_comedo_count = category_count['open_comedo']
            papule_count = category_count['papule']
            pustule_count = category_count['pustule']
            nodule_count = category_count['nodule']
            atrophic_scar_count = category_count['atrophic_scar']
            hypertrophic_scar_count = category_count['hypertrophic_scar']
            melasma_count = category_count['melasma']
            nevus_count = category_count['nevus']
            other_count = category_count['other']

            self.text[img_name] = {
                "grading_result":self.grading_result,
                "category_count":{
                    "closed_comedo":closed_comedo_count,
                    "open_comedo":open_comedo_count,
                    "papule":papule_count,
                    "pustule":pustule_count,
                    "nodule":nodule_count,
                    "atrophic_scar":atrophic_scar_count,
                    "hypertrophic_scar":hypertrophic_scar_count,
                    "melasma":melasma_count,
                    "nevus":nevus_count,
                    "other":other_count
                }
            }
            grading_result = self.text[img_name]["grading_result"]
            item = self.listWidget.item(0)
            item.setText(f"痤疮分级结果：{grading_result}")
            item = self.listWidget.item(2)
            item.setText("各类别痤疮检测数量：")
            item = self.listWidget.item(4)
            closed_comedo_count = self.text[img_name]["category_count"]["closed_comedo"]
            item.setText(f"  闭口粉刺：{closed_comedo_count}")
            item = self.listWidget.item(5)
            open_comedo_count = self.text[img_name]["category_count"]["open_comedo"]
            item.setText(f"  开口粉刺：{open_comedo_count}")
            item = self.listWidget.item(6)
            papule_count = self.text[img_name]["category_count"]["papule"]
            item.setText(f"  丘疹：{papule_count}")
            item = self.listWidget.item(7)
            pustule_count = self.text[img_name]["category_count"]["pustule"]
            item.setText(f"  脓疱：{pustule_count}")
            item = self.listWidget.item(8)
            nodule_count = self.text[img_name]["category_count"]["nodule"]
            item.setText(f"  结节：{nodule_count}")
            item = self.listWidget.item(9)
            atrophic_scar_count = self.text[img_name]["category_count"]["atrophic_scar"]
            item.setText(f"  萎缩性瘢痕：{atrophic_scar_count}")
            item = self.listWidget.item(10)
            hypertrophic_scar_count = self.text[img_name]["category_count"]["hypertrophic_scar"]
            item.setText(f"  增生性瘢痕刺：{hypertrophic_scar_count}")
            item = self.listWidget.item(11)
            melasma_count = self.text[img_name]["category_count"]["melasma"]
            item.setText(f"  斑：{melasma_count}")
            item = self.listWidget.item(12)
            nevus_count = self.text[img_name]["category_count"]["nevus"]
            item.setText(f"  色素痣：{nevus_count}")
            item = self.listWidget.item(13)
            other_count = self.text[img_name]["category_count"]["other"]
            item.setText(f"  其他：{other_count}")

            '''生成报告'''
            #必须先生成docx文件再生成pdf文件,我的docx文件和产生的结果图片保存在同一个位置的
            docx_generate = GenerateDocx(generated_image_path,'./result',self.grading_result,category_count)
            self.generated_docxFilePath = docx_generate.predict()
            self.generated_docxFilePath_List.append(self.generated_docxFilePath)

            img_path = self.generated_image_paths[0]
            # 通过文件路径获取图片文件，并设置图片长宽为label控件的长、宽
            img = QtGui.QPixmap(img_path).scaled(self.label_showImg2.width(), self.label_showImg2.height(), Qt.KeepAspectRatio,Qt.SmoothTransformation)
            # 在label控件上显示选择的图片
            self.label_showImg2.setPixmap(img)
            #显示用药指南
            self.label_adviceResult.setText(CLASSIFICATION_DRUG[self.grading_result])
        self.label_condition.setText('所有图片检测结束,请保存报告')


        # self.worker_thread.finished.connect(self.on_worker_finished)
    

        self.pushButton_startAction.setEnabled(True)  # 启动之前被禁用的按钮
        self.pushButton_selectImg.setEnabled(True)
        self.pushButton_save.setEnabled(True)  
        self.pushButton_showPDF.setEnabled(True)  
        self.pushButton_selectDir.setEnabled(True)
        self.prev_image_button.setEnabled(True)
        self.next_image_button.setEnabled(True)
        img_path = self.selected_imgsPath[0]
        img_name = os.path.splitext(os.path.basename(img_path))[0]

        grading_result = self.text[img_name]["grading_result"]
        item = self.listWidget.item(0)
        item.setText(f"痤疮分级结果：{grading_result}") 
        item = self.listWidget.item(2)
        item.setText("各类别痤疮检测数量：")
        item = self.listWidget.item(4)
        closed_comedo_count = self.text[img_name]["category_count"]["closed_comedo"]
        item.setText(f"  闭口粉刺：{closed_comedo_count}")
        item = self.listWidget.item(5)
        open_comedo_count = self.text[img_name]["category_count"]["open_comedo"]
        item.setText(f"  开口粉刺：{open_comedo_count}")
        item = self.listWidget.item(6)
        papule_count = self.text[img_name]["category_count"]["papule"]
        item.setText(f"  丘疹：{papule_count}")
        item = self.listWidget.item(7)
        pustule_count = self.text[img_name]["category_count"]["pustule"]
        item.setText(f"  脓疱：{pustule_count}")
        item = self.listWidget.item(8)
        nodule_count = self.text[img_name]["category_count"]["nodule"]
        item.setText(f"  结节：{nodule_count}")
        item = self.listWidget.item(9)
        atrophic_scar_count = self.text[img_name]["category_count"]["atrophic_scar"]
        item.setText(f"  萎缩性瘢痕：{atrophic_scar_count}")
        item = self.listWidget.item(10)
        hypertrophic_scar_count = self.text[img_name]["category_count"]["hypertrophic_scar"]
        item.setText(f"  增生性瘢痕刺：{hypertrophic_scar_count}")
        item = self.listWidget.item(11)
        melasma_count = self.text[img_name]["category_count"]["melasma"]
        item.setText(f"  斑：{melasma_count}")
        item = self.listWidget.item(12)
        nevus_count = self.text[img_name]["category_count"]["nevus"]
        item.setText(f"  色素痣：{nevus_count}")
        item = self.listWidget.item(13)
        other_count = self.text[img_name]["category_count"]["other"]
        item.setText(f"  其他：{other_count}")
        # print("ok")

    def start_work_pdf(self):
        # 启动工作线程
        self.worker_thread_pdf = WorkerThread_pdf(self)
        if len(self.generated_image_paths) == 0:
            return
        self.worker_thread_pdf.start()
        # self.worker_thread_pdf.finished.connect(self.on_worker_finished_pdf)
    
    def on_worker_finished_pdf(self):

        return
        # self.delete_files_in_current_folder()

    def acne_instance_seg(self,img: np.ndarray, detector: Detector):
        win_gen = utils.WindowGenerator(img.shape[0], img.shape[1],
                                        INFER_WINDOW_SIZE[0], INFER_WINDOW_SIZE[1],
                                        INFER_WINDOW_STRIDES[0], INFER_WINDOW_STRIDES[1])

        p_bboxes, p_labels, p_masks = [], [], []
        for h_slice, w_slice in win_gen:
            img_patch = img[h_slice, w_slice, :]
            offset_x, offset_y = w_slice.start, h_slice.start

            b, l, m = detector(img_patch)
            b[:, [0, 2]] += offset_x
            b[:, [1, 3]] += offset_y

            p_bboxes.append(b)
            p_labels.append(l)
            p_masks.extend(m)
        p_bboxes = np.concatenate(p_bboxes, axis=0)
        p_labels = np.concatenate(p_labels, axis=0)
        p_masks = np.array(p_masks, dtype=object)

        bboxes, labels, masks = [], [], []
        cls = np.unique(p_labels)
        for c in cls:
            idx = p_labels == c
            b = p_bboxes[idx]
            l = p_labels[idx]
            m = p_masks[idx]
            keep = utils.nms(b, OVERLAP_NMS_THRESHOLD)
            bboxes.append(b[keep])
            labels.append(l[keep])
            masks.append(m[keep])
        bboxes = np.concatenate(bboxes, axis=0)
        labels = np.concatenate(labels, axis=0)
        masks = np.concatenate(masks, axis=0)
        return bboxes, labels, masks


    def acne_severity_grading(self,img: np.ndarray, classifier: Classifier):
        result = classifier(img)
        return result
    
    
    def showNextImage(self):
        if len(self.selected_imgsPath) == 0:
            return
        self.current_image_index += 1
        if self.current_image_index >= len(self.selected_imgsPath):
            self.current_image_index = 0

        img_path = self.selected_imgsPath[self.current_image_index]
        img = QtGui.QPixmap(img_path).scaled(self.label_showImg.width(), self.label_showImg.height(), Qt.KeepAspectRatio,Qt.SmoothTransformation)
        self.label_showImg.setPixmap(img)
        self.lineEdit_imgPath.setText(img_path)
        pageNum = len(self.selected_imgsPath)
        current_image_index_fact = self.current_image_index + 1
        self.label_pageNum.setText(f"{current_image_index_fact} / {pageNum} ")


        if len(self.text) != 0:
            img_name = os.path.splitext(os.path.basename(img_path))[0]
            # self.label_showResult.setText(self.text[img_name])
            # print(self.text[img_name])
            grading_result = self.text[img_name]["grading_result"]
            item = self.listWidget.item(0)
            item.setText(f"痤疮分级结果：{grading_result}")
            item = self.listWidget.item(2)
            item.setText("各类别痤疮检测数量：")
            item = self.listWidget.item(4)
            closed_comedo_count = self.text[img_name]["category_count"]["closed_comedo"]
            item.setText(f"  闭口粉刺：{closed_comedo_count}")
            item = self.listWidget.item(5)
            open_comedo_count = self.text[img_name]["category_count"]["open_comedo"]
            item.setText(f"  开口粉刺：{open_comedo_count}")
            item = self.listWidget.item(6)
            papule_count = self.text[img_name]["category_count"]["papule"]
            item.setText(f"  丘疹：{papule_count}")
            item = self.listWidget.item(7)
            pustule_count = self.text[img_name]["category_count"]["pustule"]
            item.setText(f"  脓疱：{pustule_count}")
            item = self.listWidget.item(8)
            nodule_count = self.text[img_name]["category_count"]["nodule"]
            item.setText(f"  结节：{nodule_count}")
            item = self.listWidget.item(9)
            atrophic_scar_count = self.text[img_name]["category_count"]["atrophic_scar"]
            item.setText(f"  萎缩性瘢痕：{atrophic_scar_count}")
            item = self.listWidget.item(10)
            hypertrophic_scar_count = self.text[img_name]["category_count"]["hypertrophic_scar"]
            item.setText(f"  增生性瘢痕刺：{hypertrophic_scar_count}")
            item = self.listWidget.item(11)
            melasma_count = self.text[img_name]["category_count"]["melasma"]
            item.setText(f"  斑：{melasma_count}")
            item = self.listWidget.item(12)
            nevus_count = self.text[img_name]["category_count"]["nevus"]
            item.setText(f"  色素痣：{nevus_count}")
            item = self.listWidget.item(13)
            other_count = self.text[img_name]["category_count"]["other"]
            item.setText(f"  其他：{other_count}")

            img_path2 = self.generated_image_paths[self.current_image_index]
            img2 = QtGui.QPixmap(img_path2).scaled(self.label_showImg2.width(), self.label_showImg2.height(), Qt.KeepAspectRatio,Qt.SmoothTransformation)
            self.label_showImg2.setPixmap(img2)

    def showPrevImage(self):
        if len(self.selected_imgsPath) == 0:
            return
        self.current_image_index -= 1
        if self.current_image_index < 0:
            self.current_image_index = len(self.selected_imgsPath) - 1

        img_path = self.selected_imgsPath[self.current_image_index]
        img = QtGui.QPixmap(img_path).scaled(self.label_showImg.width(), self.label_showImg.height(), Qt.KeepAspectRatio,Qt.SmoothTransformation)
        self.label_showImg.setPixmap(img)
        self.lineEdit_imgPath.setText(img_path)
        pageNum = len(self.selected_imgsPath)
        current_image_index_fact = self.current_image_index + 1
        self.label_pageNum.setText(f"{current_image_index_fact} / {pageNum} ")

        if len(self.text) != 0:
            img_name = os.path.splitext(os.path.basename(img_path))[0]
            # self.label_showResult.setText(self.text[img_name])
            # print(self.text[img_name])
            grading_result = self.text[img_name]["grading_result"]
            item = self.listWidget.item(0)
            item.setText(f"痤疮分级结果：{grading_result}")
            item = self.listWidget.item(2)
            item.setText("各类别痤疮检测数量：")
            item = self.listWidget.item(4)
            closed_comedo_count = self.text[img_name]["category_count"]["closed_comedo"]
            item.setText(f"  闭口粉刺：{closed_comedo_count}")
            item = self.listWidget.item(5)
            open_comedo_count = self.text[img_name]["category_count"]["open_comedo"]
            item.setText(f"  开口粉刺：{open_comedo_count}")
            item = self.listWidget.item(6)
            papule_count = self.text[img_name]["category_count"]["papule"]
            item.setText(f"  丘疹：{papule_count}")
            item = self.listWidget.item(7)
            pustule_count = self.text[img_name]["category_count"]["pustule"]
            item.setText(f"  脓疱：{pustule_count}")
            item = self.listWidget.item(8)
            nodule_count = self.text[img_name]["category_count"]["nodule"]
            item.setText(f"  结节：{nodule_count}")
            item = self.listWidget.item(9)
            atrophic_scar_count = self.text[img_name]["category_count"]["atrophic_scar"]
            item.setText(f"  萎缩性瘢痕：{atrophic_scar_count}")
            item = self.listWidget.item(10)
            hypertrophic_scar_count = self.text[img_name]["category_count"]["hypertrophic_scar"]
            item.setText(f"  增生性瘢痕刺：{hypertrophic_scar_count}")
            item = self.listWidget.item(11)
            melasma_count = self.text[img_name]["category_count"]["melasma"]
            item.setText(f"  斑：{melasma_count}")
            item = self.listWidget.item(12)
            nevus_count = self.text[img_name]["category_count"]["nevus"]
            item.setText(f"  色素痣：{nevus_count}")
            item = self.listWidget.item(13)
            other_count = self.text[img_name]["category_count"]["other"]
            item.setText(f"  其他：{other_count}")

            img_path2 = self.generated_image_paths[self.current_image_index]
            img2 = QtGui.QPixmap(img_path2).scaled(self.label_showImg2.width(), self.label_showImg2.height(), Qt.KeepAspectRatio,Qt.SmoothTransformation)
            self.label_showImg2.setPixmap(img2)

    def button_show_dir(self):
        default_dir = "./report_pdf"
        show_dirPath = 0
        if self.dir_choose == '':
            show_dirPath = default_dir
        else:
            show_dirPath = self.dir_choose

        url = QUrl.fromLocalFile(show_dirPath)
        if url:
            print("选择的文件夹路径：", show_dirPath)
        else:
            print("未选择文件夹")
        QDesktopServices.openUrl(url)


    # 选择本地图片上传
    def openImage(self):
        self.selected_imgsPath = [] # 清空之前选择的所有图片
        self.generated_image_paths = [] # 清空之前推理生成的所有图片
        # 弹出一个文件选择框，第一个返回值imgName记录选中的文件路径+文件名，第二个返回值imgType记录文件的类型
        # QFileDialog就是系统对话框的那个类第一个参数是上下文，第二个参数是弹框的名字，第三个参数是默认打开的路径，第四个参数是需要的格式
        self.selected_imgsPath, _ = QtWidgets.QFileDialog.getOpenFileNames(
            self, "打开图片", "./pending_images", "*.jpg;;*.png;;All Files(*)")
        if len(self.selected_imgsPath) == 0:
            print('没有选择图片!')
            self.label_condition.setText("没有选择图片!") # 点击选择图片按钮后不选择图片会将存放图片路径的列表置为空
            # 创建一个空的QPixmap对象
            empty_pixmap = QPixmap()
            self.label_showImg.setPixmap(empty_pixmap)
            pageNum = 0
            self.label_pageNum.setText(f"共 {pageNum} 页")
            return
        
        # 通过文件路径获取图片文件，并设置图片长宽为label控件的长、宽
        img = QtGui.QPixmap(self.selected_imgsPath[0]).scaled(self.label_showImg.width(), self.label_showImg.height(), Qt.KeepAspectRatio,Qt.SmoothTransformation)
        # 提示点击生成
        self.label_condition.setText("请点击 开始检测")
        # 在label控件上显示选择的图片
        self.label_showImg.setPixmap(img)
        # 显示所选图片的路径
        self.lineEdit_imgPath.setText(self.selected_imgsPath[0])
        pageNum = len(self.selected_imgsPath)
        self.label_pageNum.setText(f"共 {pageNum} 页")

    # 选择图片文件夹上传
    def openImageFolder(self):
        self.selected_imgsPath = [] # 清空之前选择的所有图片
        self.generated_image_paths = [] # 清空之前推理生成的所有图片
        # 弹出一个文件夹选择框，返回选中的文件夹路径
        selected_folder = QtWidgets.QFileDialog.getExistingDirectory(self, "选择文件夹", "./pending_images")

        if selected_folder:
            # 获取文件夹中的所有图片文件路径
            for file_name in os.listdir(selected_folder):
                if file_name.lower().endswith((".jpg", ".png")):
                    self.selected_imgsPath.append(os.path.join(selected_folder, file_name))

            # 通过第一个图片文件路径获取图片，并设置图片长宽为label控件的长、宽
            img = QtGui.QPixmap(self.selected_imgsPath[0]).scaled(self.label_showImg.width(), self.label_showImg.height(), Qt.KeepAspectRatio,Qt.SmoothTransformation)
            # 提示点击开始检测
            self.label_condition.setText("请点击 开始检测")
            # 在label控件上显示第一张图片
            self.label_showImg.setPixmap(img)
            # 显示所选图片的路径
            self.lineEdit_imgPath.setText(self.selected_imgsPath[0])
            pageNum = len(self.selected_imgsPath)
            self.label_pageNum.setText(f"共 {pageNum} 页")
        else:
            print('没有选择图片!')
            self.label_condition.setText("没有选择图片!")
            empty_pixmap = QPixmap()
            self.label_showImg.setPixmap(empty_pixmap)
            pageNum = 0
            self.label_pageNum.setText(f"共 {pageNum} 页")
            return

        
    def closeEvent(self, event):
        # 在这里执行你的函数
        self.delete_files_in_current_folder()
        event.accept()
        
    # 删除中途产生的图片和docx文件
    def delete_files_in_current_folder(self):
    # 获取当前文件夹路径
        current_folder = os.path.dirname(self.generated_docxFilePath)
        # 获取当前文件夹中的所有文件
        if len(current_folder) == 0:
            print('没有报告生成')
            return
        file_list = os.listdir(current_folder)

        # 遍历文件列表
        for file_name in file_list:
            # 构建文件的绝对路径
            file_path = os.path.join(current_folder, file_name)

            # 判断是否是文件
            if os.path.isfile(file_path):
                # 删除文件
                os.remove(file_path)

# # 自定义的工作线程类
# class WorkerThread(QThread):
#     # 生成对应预测的数字
#     # 定义一个信号，用于在工作完成后发送通知
#     finished = pyqtSignal()
#     QApplication.processEvents()
#     def __init__(self):
#         super().__init__()
#         # self = main_window
#         self.detector, self.classifier = self.create_acne_inference(acne_infer_config)
    
#     def create_acne_inference(self,cfg):
#         self.detector = Detector(model_path=cfg['detector']['model_path'],
#                             device_name=cfg['detector']['device_name'],
#                             device_id=cfg['detector']['device_id'])
#         self.classifier = Classifier(model_path=cfg['classifier']['model_path'],
#                                 device_name=cfg['classifier']['device_name'],
#                                 device_id=cfg['classifier']['device_id'])
#         return self.detector, self.classifier

#     def run(self):
#         # 执行耗时的任务
#         self.do_work()
 
#         # 发送工作完成的信号
#         self.finished.emit()

#     def do_work(self):
#         # 模拟耗时的任务
        
#     #    '''人脸严重程度分级'''
#         self.grading_result = 0 # 从1开始的痤疮等级
#         self.count = 0
#         # 判断是否选择了图片
#         if self == 0:
#             print("未选择图片")
#             return
        
#         for i in range(len(self.selected_imgsPath)):
#             QApplication.processEvents()
#             self.count = i+1
#             # self.label_showResult.setText(f'正在检测第{count}张图片')
#             self.label_condition.setText(f'请耐心等待,正在检测第{self.count}张图片')
#             image = cv2.imread(self.selected_imgsPath[i])

#             bboxes, labels, masks = self.acne_instance_seg(image, self.detector)
#             cls_result = self.acne_severity_grading(image, self.classifier)

#             self.grading_result = cls_result[0][0]+1

#             indices = [i for i in range(len(bboxes))]
#             QApplication.processEvents()

#             category_count = {   
#             'papule':0,
#             'nevus':0,
#             'nodule':0,
#             'open_comedo':0,
#             'closed_comedo':0,
#             'atrophic_scar':0,
#             'hypertrophic_scar':0,
#             'melasma':0,
#             'pustule':0,
#             'other':0
#             }
            
#             for index, bbox, label_id in zip(indices, bboxes, labels):
#                 QApplication.processEvents()
#                 # print(count,index,bbox,label_id)
#                 [left, top, right, bottom], score = bbox[0:4].astype(int), bbox[4]
#                 if score < BBOX_DISPLAY_CONFIDENCE:
#                     continue

#                 color = CATEGORY_COLOR[CATEGORY_INDEX[label_id]]
#                 cv2.rectangle(image, (left, top), (right, bottom), color)

#                 label_text = f"{CATEGORY_INDEX[label_id]} | {int(100 * score)}%"  # 使用痤疮的标签作为标注信息
#                 cv2.putText(image, label_text, (left, top - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.5, color, 1)  # 添加标注信息

#                 if masks[index].size:
#                     mask = masks[index]
#                     if mask.shape == image.shape[:2]:  # rtmdet-inst
#                         mask_img = image.copy()
#                     else:  # maskrcnn
#                         x0 = int(max(math.floor(bbox[0]) - 1, 0))
#                         y0 = int(max(math.floor(bbox[1]) - 1, 0))
#                         mask_img = image[y0:y0 + mask.shape[0], x0:x0 + mask.shape[1]]
#                     mask_img[mask.astype(bool)] = color

#                 category_count[CATEGORY_INDEX[label_id]] += 1
                

#             text = f'Prediction: {cls_result[0][0]}, {cls_result[0][1]:.4f} ' \
#                 f'({acne_infer_config["classifier"]["classes"][cls_result[0][0]]})'
            
#             cv2.putText(image, text, (20, 40), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (255, 255, 255), 2)

#             img_name = os.path.splitext(os.path.basename(self.selected_imgsPath[i]))[0]

#             # 获取当前日期和时间
#             now = datetime.now()
#             # 提取年、月和日
#             year = now.year
#             month = now.month
#             day = now.day
#             generated_image_path = f"./result/{img_name}_report_{year}_{month}_{day}.jpg"
        
#             cv2.imwrite(generated_image_path , image)
#             self.generated_image_paths.append(generated_image_path)

        
#             closed_comedo_count = category_count['closed_comedo']
#             open_comedo_count = category_count['open_comedo']
#             papule_count = category_count['papule']
#             pustule_count = category_count['pustule']
#             nodule_count = category_count['nodule']
#             atrophic_scar_count = category_count['atrophic_scar']
#             hypertrophic_scar_count = category_count['hypertrophic_scar']
#             melasma_count = category_count['melasma']
#             nevus_count = category_count['nevus']
#             other_count = category_count['other']

#             self.text[img_name] = {
#                 "grading_result":self.grading_result,
#                 "category_count":{
#                     "closed_comedo":closed_comedo_count,
#                     "open_comedo":open_comedo_count,
#                     "papule":papule_count,
#                     "pustule":pustule_count,
#                     "nodule":nodule_count,
#                     "atrophic_scar":atrophic_scar_count,
#                     "hypertrophic_scar":hypertrophic_scar_count,
#                     "melasma":melasma_count,
#                     "nevus":nevus_count,
#                     "other":other_count
#                 }
#             }
#             grading_result = self.text[img_name]["grading_result"]
#             item = self.listWidget.item(0)
#             item.setText(f"痤疮分级结果：{grading_result}")
#             item = self.listWidget.item(2)
#             item.setText("各类别痤疮检测数量：")
#             item = self.listWidget.item(4)
#             closed_comedo_count = self.text[img_name]["category_count"]["closed_comedo"]
#             item.setText(f"  闭口粉刺：{closed_comedo_count}")
#             item = self.listWidget.item(5)
#             open_comedo_count = self.text[img_name]["category_count"]["open_comedo"]
#             item.setText(f"  开口粉刺：{open_comedo_count}")
#             item = self.listWidget.item(6)
#             papule_count = self.text[img_name]["category_count"]["papule"]
#             item.setText(f"  丘疹：{papule_count}")
#             item = self.listWidget.item(7)
#             pustule_count = self.text[img_name]["category_count"]["pustule"]
#             item.setText(f"  脓疱：{pustule_count}")
#             item = self.listWidget.item(8)
#             nodule_count = self.text[img_name]["category_count"]["nodule"]
#             item.setText(f"  结节：{nodule_count}")
#             item = self.listWidget.item(9)
#             atrophic_scar_count = self.text[img_name]["category_count"]["atrophic_scar"]
#             item.setText(f"  萎缩性瘢痕：{atrophic_scar_count}")
#             item = self.listWidget.item(10)
#             hypertrophic_scar_count = self.text[img_name]["category_count"]["hypertrophic_scar"]
#             item.setText(f"  增生性瘢痕刺：{hypertrophic_scar_count}")
#             item = self.listWidget.item(11)
#             melasma_count = self.text[img_name]["category_count"]["melasma"]
#             item.setText(f"  斑：{melasma_count}")
#             item = self.listWidget.item(12)
#             nevus_count = self.text[img_name]["category_count"]["nevus"]
#             item.setText(f"  色素痣：{nevus_count}")
#             item = self.listWidget.item(13)
#             other_count = self.text[img_name]["category_count"]["other"]
#             item.setText(f"  其他：{other_count}")

#             '''生成报告'''
#             #必须先生成docx文件再生成pdf文件,我的docx文件和产生的结果图片保存在同一个位置的
#             docx_generate = GenerateDocx(generated_image_path,'./result',self.grading_result,category_count)
#             self.generated_docxFilePath = docx_generate.predict()
#             self.generated_docxFilePath_List.append(self.generated_docxFilePath)

#             img_path = self.generated_image_paths[0]
#             # 通过文件路径获取图片文件，并设置图片长宽为label控件的长、宽
#             img = QtGui.QPixmap(img_path).scaled(self.label_showImg2.width(), self.label_showImg2.height(), Qt.KeepAspectRatio,Qt.SmoothTransformation)
#             # 在label控件上显示选择的图片
#             self.label_showImg2.setPixmap(img)
#             #显示用药指南
#             self.label_adviceResult.setText(CLASSIFICATION_DRUG[self.grading_result])
#         self.label_condition.setText('所有图片检测结束,请保存报告')
                


class MyProcess(multiprocessing.Process):
    def __init__(self, shared_dict):
        super().__init__()
        self.shared_dict = shared_dict
 
    def run(self):
        # 在子进程中修改共享字典的值
        image = self.shared_dict['image']

        self.detector, self.classifier = self.create_acne_inference(acne_infer_config)
        bboxes, labels, masks = self.acne_instance_seg(image, self.detector)
        cls_result = self.acne_severity_grading(image, self.classifier)
        self.shared_dict['bboxes'] = bboxes
        self.shared_dict['labels'] = labels
        self.shared_dict['masks'] = masks
        self.shared_dict['cls_result'] = cls_result

    def create_acne_inference(self,cfg):
        self.detector = Detector(model_path=cfg['detector']['model_path'],
                            device_name=cfg['detector']['device_name'],
                            device_id=cfg['detector']['device_id'])
        self.classifier = Classifier(model_path=cfg['classifier']['model_path'],
                                device_name=cfg['classifier']['device_name'],
                                device_id=cfg['classifier']['device_id'])
        return self.detector, self.classifier
    
    def acne_instance_seg(self,img: np.ndarray, detector: Detector):
        win_gen = utils.WindowGenerator(img.shape[0], img.shape[1],
                                        INFER_WINDOW_SIZE[0], INFER_WINDOW_SIZE[1],
                                        INFER_WINDOW_STRIDES[0], INFER_WINDOW_STRIDES[1])

        p_bboxes, p_labels, p_masks = [], [], []
        for h_slice, w_slice in win_gen:
            img_patch = img[h_slice, w_slice, :]
            offset_x, offset_y = w_slice.start, h_slice.start

            b, l, m = detector(img_patch)
            b[:, [0, 2]] += offset_x
            b[:, [1, 3]] += offset_y

            p_bboxes.append(b)
            p_labels.append(l)
            p_masks.extend(m)
        p_bboxes = np.concatenate(p_bboxes, axis=0)
        p_labels = np.concatenate(p_labels, axis=0)
        p_masks = np.array(p_masks, dtype=object)

        bboxes, labels, masks = [], [], []
        cls = np.unique(p_labels)
        for c in cls:
            idx = p_labels == c
            b = p_bboxes[idx]
            l = p_labels[idx]
            m = p_masks[idx]
            keep = utils.nms(b, OVERLAP_NMS_THRESHOLD)
            bboxes.append(b[keep])
            labels.append(l[keep])
            masks.append(m[keep])
        bboxes = np.concatenate(bboxes, axis=0)
        labels = np.concatenate(labels, axis=0)
        masks = np.concatenate(masks, axis=0)
        return bboxes, labels, masks


    def acne_severity_grading(self,img: np.ndarray, classifier: Classifier):
        result = classifier(img)
        return result
    
      
class WorkerThread_pdf(QThread):
    # 定义一个信号，用于在工作完成后发送通知
    finished = pyqtSignal()
    def __init__(self, main_window):
        super().__init__()
        self.main_window = main_window
 
    def run(self):
        # 执行耗时的任务
        self.do_work()
 
        # 发送工作完成的信号
        self.finished.emit()
 
    def do_work(self):
        # 模拟耗时的任务
        self.main_window.dir_choose = QFileDialog.getExistingDirectory(self.main_window.centralwidget, "选取文件夹", "./report_pdf")
        if self.main_window.dir_choose == '':
            print("未生成报告,保存无效")
            self.main_window.label_condition.setText('未生成报告,保存无效')
            return
        else:
            # f=open(fd,'w')
            for i in range(len(self.main_window.selected_imgsPath)):
                QApplication.processEvents()
                img_name = os.path.splitext(os.path.basename(self.main_window.generated_docxFilePath_List[i]))[0]
                self.main_window.label_condition.setText(f"正在生成{img_name}.pdf报告")
                convert(self.main_window.generated_docxFilePath_List[i], self.main_window.dir_choose+f"/{img_name}.pdf")
                print(f"{img_name}.pdf 报告已生成")
            print("pdf报告全部转换完毕")
            self.main_window.lineEdit_savePath.setText(self.main_window.dir_choose)
            self.main_window.label_condition.setText('已保存所有报告')
            # self.main_window.delete_files_in_current_folder()
            # self.main_window.pushButton_save.setEnabled(False)
            

enterTest2.py

import test2
from PyQt5.QtWidgets import QMainWindow

from infer_config import acne_infer_config
from mmdeploy_runtime import Detector, Classifier

import multiprocessing

INFER_WINDOW_SIZE = [1024, 1024]
INFER_WINDOW_STRIDES = (960, 960)
OVERLAP_NMS_THRESHOLD = 0.5
BBOX_DISPLAY_CONFIDENCE = 0.5

class SecondWindowActions(test2.Ui_MainWindow, QMainWindow):

    def __init__(self):
        super(test2.Ui_MainWindow, self).__init__()
        self.main_window = 0
        self.current_image_index = 0
        self.generated_docxFilePath_List = []
        self.text = {}
        self.count = 0
        self.dir_choose = ''
        self.selected_imgsPath = []
        self.generated_docxFilePath = '' #通过python-docx生成的docx文件
        self.selected_imgPath = '' # 选择的图片的路径
        self.generated_image_paths = []
        self.grading_result = 0 # 最终判定级别数
        # self.detector, self.classifier = self.create_acne_inference(acne_infer_config)
        self.worker_thread = None
        self.worker_thread_pdf = None

        # 创建一个可以在主进程和子进程之间共享的字典
        manager = multiprocessing.Manager()
        self.shared_dict = manager.dict()
 

        #调用 setupUi 方法来初始化和设置这个窗口类的用户界面。这里的 self 指的是主窗口类的实例
        self.setupUi(self)
    
    # def create_acne_inference(self,cfg):
    #     self.detector = Detector(model_path=cfg['detector']['model_path'],
    #                         device_name=cfg['detector']['device_name'],
    #                         device_id=cfg['detector']['device_id'])
    #     self.classifier = Classifier(model_path=cfg['classifier']['model_path'],
    #                             device_name=cfg['classifier']['device_name'],
    #                             device_id=cfg['classifier']['device_id'])
    #     return self.detector, self.classifier

在此给你一些关键词，你确保是否是类似这样使用的：

值得一题的是，数据交换用信号。
信号在pyqt叫做?pyqtSignal，在pyside叫做?Signal

信号定义在Worker里?