用Python编写百度ocr图像识别程序
涉及的知识点：Python、调用百度API、PyQt5
运行环境：Mac+Python3.7+PyQt5
程序截图：
实现步骤：
第一步：获得自己的百度OCR的AK和SK
1、利用百度 AI 开发平台的 OCR 文字识别 API 识别并提取图片中的文字，首先需注册获取 API 调用的 ID 和 key，打开百度AI开放平台，进入控制台中的文字识别应用(需要有百度账号）。
2、创建一个应用，并进入管理应用，记下 AppID, API Key, Secrect Key，调用 API需用到。
第二步：PyQt5安装和pycharm配置
1.直接使用pip安装,但是需要SIP的支持,所以先安装SIP,再安装pyqt5
pip install sip
pip install PyQt5
2.安装qt designer，同样使用pip安装
pip install PyQt5-tools
3.配置PyCharm，配置PyCharm是为了在Pycharm里面实现打开qt designer，生成qt文件，方便转换成python文件。
具体步骤可移步查看这篇文章：pyqt5安装与pycharm配置
第三步：用qt designer编写界面
新建一个项目，然后在左边窗口部件盒找到需要的控件，拖动到界面编辑区，保存baidu_ocr.ui
第四步：对刚才保存的baidu_ocr.ui文件右键选择 External Tools-pyUIC 功能，将QT文件转化为py文件
第五步：编辑相关代码，运行之前请将AK和SK替换为自己的
# -*- coding: utf-8 -*- ''' author: 神奇的老黄 gtihub: https://github.com/MH-Blog site: https://magichuang.cn date: 2019.02.14 23:08 ''' import base64 import json from PyQt5 import QtCore, QtGui, QtWidgets import sys import urllib, urllib.request import ssl from PyQt5.QtCore import QSize, Qt ssl._create_default_https_context = ssl._create_unverified_context """ 你的 APPID AK SK """ # http://ai.baidu.com/docs#/OCR-Pricing/top 申请地址 # API_KEY 为官网获取的AK， SECRET_KEY 为官网获取的SK API_KEY = 'API_KEY' SECRET_KEY = 'SECRET_KEY' # QT自动生成的UI类 class Ui_Form(object): def setupUi(self, Form): # 设置窗体的名称 Form.setObjectName("Form") # 设置窗体大小 Form.resize(834, 789) # 新建横向布局 self.horizontalLayoutWidget = QtWidgets.QWidget(Form) self.horizontalLayoutWidget.setGeometry(QtCore.QRect(40, 30, 251, 61)) self.horizontalLayoutWidget.setObjectName("horizontalLayoutWidget") self.horizontalLayout = QtWidgets.QHBoxLayout(self.horizontalLayoutWidget) self.horizontalLayout.setContentsMargins(0, 0, 0, 0) self.horizontalLayout.setObjectName("horizontalLayout") self.label = QtWidgets.QLabel(self.horizontalLayoutWidget) self.label.setObjectName("label") self.horizontalLayout.addWidget(self.label) self.comboBox = QtWidgets.QComboBox(self.horizontalLayoutWidget) # 设置名称 self.comboBox.setObjectName("comboBox") # 添加子标题有多少分类添加几个 self.comboBox.addItem("") self.comboBox.addItem("") self.comboBox.addItem("") self.comboBox.addItem("") self.comboBox.addItem("") self.comboBox.addItem("") self.comboBox.addItem("") self.comboBox.addItem("") self.comboBox.addItem("") self.comboBox.addItem("") self.comboBox.addItem("") # 把下拉选择控件添加到布局容器中 self.horizontalLayout.addWidget(self.comboBox) # 新建横向布局 self.horizontalLayoutWidget_2 = QtWidgets.QWidget(Form) self.horizontalLayoutWidget_2.setGeometry(QtCore.QRect(350, 30, 441, 61)) self.horizontalLayoutWidget_2.setObjectName("horizontalLayoutWidget_2") self.horizontalLayout_2 = QtWidgets.QHBoxLayout(self.horizontalLayoutWidget_2) self.horizontalLayout_2.setContentsMargins(0, 0, 0, 0) self.horizontalLayout_2.setObjectName("horizontalLayout_2") self.label_2 = QtWidgets.QLabel(self.horizontalLayoutWidget_2) self.label_2.setObjectName("label_2") self.horizontalLayout_2.addWidget(self.label_2) self.lineEdit = QtWidgets.QLineEdit(self.horizontalLayoutWidget_2) self.lineEdit.setObjectName("lineEdit") self.horizontalLayout_2.addWidget(self.lineEdit) # 新建按钮 self.pushButton = QtWidgets.QPushButton(self.horizontalLayoutWidget_2) self.pushButton.setObjectName("pushButton") self.horizontalLayout_2.addWidget(self.pushButton) self.label_3 = QtWidgets.QLabel(Form) self.label_3.setGeometry(QtCore.QRect(40, 110, 751, 301)) self.label_3.setAutoFillBackground(False) # 设置黑色边框 self.label_3.setStyleSheet('border-width:1px;border-style:solid;border-color:rgb(0,0,0);') self.label_3.setObjectName("label_3") self.horizontalLayoutWidget_3 = QtWidgets.QWidget(Form) self.horizontalLayoutWidget_3.setGeometry(QtCore.QRect(40, 440, 751, 321)) self.horizontalLayoutWidget_3.setObjectName("horizontalLayoutWidget_3") self.horizontalLayout_3 = QtWidgets.QHBoxLayout(self.horizontalLayoutWidget_3) self.horizontalLayout_3.setContentsMargins(0, 0, 0, 0) self.horizontalLayout_3.setObjectName("horizontalLayout_3") self.verticalLayout_2 = QtWidgets.QVBoxLayout() self.verticalLayout_2.setObjectName("verticalLayout_2") self.label_4 = QtWidgets.QLabel(self.horizontalLayoutWidget_3) self.label_4.setAutoFillBackground(False) # self.label_4.setStyleSheet("background-color: rgb(253, 188, 49);") self.label_4.setObjectName("label_4") self.label_4.setStyleSheet('border-width:1px;border-style:solid;border-color:rgb(0,0,0);') self.verticalLayout_2.addWidget(self.label_4) # 新建按钮 self.pushButton_2 = QtWidgets.QPushButton(self.horizontalLayoutWidget_3) self.pushButton_2.setObjectName("pushButton_2") self.verticalLayout_2.addWidget(self.pushButton_2, 0, QtCore.Qt.AlignHCenter) self.horizontalLayout_3.addLayout(self.verticalLayout_2) # 自动生成的ui控件 处理方法 self.retranslateUi(Form) # 自动生成的 关联信号槽 QtCore.QMetaObject.connectSlotsByName(Form) def retranslateUi(self, Form): _translate = QtCore.QCoreApplication.translate # 设置窗体内容 Form.setWindowTitle(_translate("Form", "百度图片识别程序")) # 设置文字控件显示内容 self.label.setText(_translate("Form", "识别类型：")) # 设置下拉控件选项内容 self.comboBox.setItemText(0, _translate("Form", "银行卡")) self.comboBox.setItemText(1, _translate("Form", "植物")) self.comboBox.setItemText(2, _translate("Form", "动物")) self.comboBox.setItemText(3, _translate("Form", "通用票据")) self.comboBox.setItemText(4, _translate("Form", "营业执照")) self.comboBox.setItemText(5, _translate("Form", "身份证")) self.comboBox.setItemText(6, _translate("Form", "车牌号")) self.comboBox.setItemText(7, _translate("Form", "驾驶证")) self.comboBox.setItemText(8, _translate("Form", "行驶证")) self.comboBox.setItemText(9, _translate("Form", "车型")) self.comboBox.setItemText(10, _translate("Form", "Logo")) self.label_2.setText(_translate("Form", "图片路径：")) self.pushButton.setText(_translate("Form", "选择")) self.label_3.setText(_translate("Form", "此处显示照片
")) self.label_4.setText(_translate("Form", "
此处显示结果
")) self.pushButton_2.setText(_translate("Form", "复制到剪贴板")) # 为 选择图片 按钮添加点击事件 self.pushButton.clicked.connect(self.openFile) # 为 复制到剪贴板 按钮添加点击时间 self.pushButton_2.clicked.connect(self.copyText) # 复制到剪贴板 def copyText(self): clipboard = QtWidgets.QApplication.clipboard() clipboard.setText(self.label_4.text()) # QMessageBox.about(self,'关于','这是一个关于消息对话框!') msgBox = QtWidgets.QMessageBox(QtWidgets.QMessageBox.NoIcon, '提醒', '识别内容已成功复制到剪贴板 !') msgBox.exec() # 打开文件选择对话框方法 def openFile(self): # 启动选择文件对话框，查找jpg以及png图片 self.download_path = QtWidgets.QFileDialog.getOpenFileName(self.horizontalLayoutWidget, '选择要识别的图片', '', 'Image File (*.jpg *.jpeg *.png)') # 判断是否选择图片 if not self.download_path[0].strip(): pass else: # 将路径显示到地址栏中 self.lineEdit.setText(self.download_path[0]) # 将图片显示到图片展示区 pixmap = QtGui.QPixmap(self.download_path[0]) # self.label_3.setPixmap(pixmap) # 等比例缩放图片 scaredPixmap = pixmap.scaled(QSize(311, 301), aspectRatioMode=Qt.KeepAspectRatio) # 设置图片 self.label_3.setPixmap(scaredPixmap) # 判断选择的类型 根据类型做相应的图片处理 self.label_3.show() # 判断选择的类型 self.typeTp() # 判断选择的类型 进行相应处理 def typeTp(self): # 银行卡识别 if self.comboBox.currentIndex() == 0: self.get_bankcard(self.get_token()) pass # 植物识别 elif self.comboBox.currentIndex() == 1: self.get_plant(self.get_token()) pass # 动物识别 elif self.comboBox.currentIndex() == 2: self.get_animal(self.get_token()) pass # 通用票据识别识别 elif self.comboBox.currentIndex() == 3: self.get_vat_invoice(self.get_token()) pass # 营业执照识别 elif self.comboBox.currentIndex() == 4: self.get_business_licensev(self.get_token()) pass # 身份证识别 elif self.comboBox.currentIndex() == 5: self.get_idcard(self.get_token()) pass # 车牌号识别 elif self.comboBox.currentIndex() == 6: self.get_license_plate(self.get_token()) pass # 驾驶证识别 elif self.comboBox.currentIndex() == 7: self.get_driving_license(self.get_token()) pass # 行驶证识别 elif self.comboBox.currentIndex() == 8: self.get_vehicle_license(self.get_token()) pass # 车型识别 elif self.comboBox.currentIndex() == 9: self.get_car(self.get_token()) pass # Logo识别 elif self.comboBox.currentIndex() == 10: self.get_logo(self.get_token()) pass pass # 获取token def get_token(self): # client_id 为官网获取的AK， client_secret 为官网获取的SK host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + API_KEY + '&client_secret=' + SECRET_KEY # 发送请求 request = urllib.request.Request(host) # 添加请求头 request.add_header('Content-Type', 'application/json; charset=UTF-8') # 获取返回内容 response = urllib.request.urlopen(request) # 读取返回内容 content = response.read() # 判断内容是否为空 if (content): # 打印内容 print(content) # 打印token print(json.loads(content)['access_token']) # 使用json解析出token 设置token self.access_token = json.loads(content)['access_token'] # 返回token return self.access_token # 0 银行卡识别 def get_bankcard(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/bankcard" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) img = base64.b64encode(f) params = {"image": img} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: # 解析返回数据 bankcards = json.loads(content) # 输出返回结果 strover = '识别结果：\n' # 捕捉异常判断是否正确返回信息 try: # 判断银行卡类型 if bankcards['result']['bank_card_type'] == 0: bank_card_type = '不能识别' elif bankcards['result']['bank_card_type'] == 1: bank_card_type = '借记卡' elif bankcards['result']['bank_card_type'] == 2: bank_card_type = '信用卡' strover += ' 卡号：{} \n 银行：{} \n 类型：{} \n'.format(bankcards['result']['bank_card_number'], bankcards['result']['bank_name'], bank_card_type) # 错误的时候提示错误原因 except BaseException: error_msg = bankcards['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) # 设置识别显示结果 self.label_4.setText(strover) # 1 植物识别 def get_plant(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/plant" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) # 转换图片 img = base64.b64encode(f) # 拼接图片参数 params = {"image": img} params = urllib.parse.urlencode(params).encode('utf-8') # 请求地址 request_url = request_url + "?access_token=" + access_token # 发送请求传递图片参数 request = urllib.request.Request(url=request_url, data=params) # 添加访问头部 request.add_header('Content-Type', 'application/x-www-form-urlencoded') # 接收返回内容 response = urllib.request.urlopen(request) # 读取返回内容 content = response.read() # 内容判断 if content: plants = json.loads(content) strover = '识别结果：\n' try: i = 1 for plant in plants['result']: strover += '{} 植物名称：{} \n'.format(i, plant['name']) i += 1 except BaseException: error_msg = plants['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_4.setText(strover) # 2 动物识别 def get_animal(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/animal" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) img = base64.b64encode(f) params = {"image": img, "top_num": 6} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: animals = json.loads(content) strover = '识别结果：\n' try: i = 1 for animal in animals['result']: strover += '{} 动物名称：{} \n'.format(i, animal['name']) i += 1 except BaseException: error_msg = animals['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_4.setText(strover) # 3 通用票据识别 def get_vat_invoice(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/receipt" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) img = base64.b64encode(f) params = {"image": img} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: receipts = json.loads(content) strover = '识别结果：\n' try: words_result = receipts['words_result'] for word_result in words_result: # 票据内容 InvoiceType = word_result['words'] strover += ' {} '.format(InvoiceType) except BaseException: error_msg = receipts['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_4.setText(strover) # 4 营业执照识别 def get_business_licensev(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/business_license" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) img = base64.b64encode(f) params = {"image": img} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: business_licenses = json.loads(content) strover = '识别结果：\n' try: words_result = business_licenses['words_result'] # 单位名称 Unit_name = words_result['单位名称']['words'] strover += ' 单位名称：\n {} \n '.format(Unit_name) # 法人 legal_person = words_result['法人']['words'] strover += ' 法人：{} \n '.format(legal_person) # 有效期 Term_of_validity = words_result['有效期']['words'] strover += ' 有效期：{} \n '.format(Term_of_validity) # 证件编号 ID_number = words_result['证件编号']['words'] strover += ' 证件编号：{} \n '.format(ID_number) # 社会信用代码 Social_Credit_Code = words_result['社会信用代码']['words'] strover += ' 社会信用代码：{} \n '.format(Social_Credit_Code) # 地址 address = words_result['地址']['words'] strover += ' 地址：\n{}\n '.format(address) except BaseException: error_msg = business_licenses['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_4.setText(strover) # 5 身份证识别 def get_idcard(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/idcard" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) img = base64.b64encode(f) params = {"image": img, "id_card_side": "front"} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: idcards = json.loads(content) strover = '识别结果：\n' try: words_result = idcards['words_result'] # 公民身份号码 Citizenship_number = words_result['公民身份号码']['words'] strover += ' 公民身份号码：\n{} \n '.format(Citizenship_number) # 民族 Nation = words_result['民族']['words'] strover += ' 民族：{} \n '.format(Nation) # 姓名 Full_name = words_result['姓名']['words'] strover += ' 姓名：{} \n '.format(Full_name) # 住址 address = words_result['住址']['words'] strover += ' 住址：\n{} \n '.format(address) except BaseException: error_msg = idcards['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) # 显示识别结果 self.label_4.setText(strover) # 6 车牌号识别 def get_license_plate(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/license_plate" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) img = base64.b64encode(f) params = {"image": img} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: license_plates = json.loads(content) strover = '识别结果：\n' try: words_result = license_plates['words_result'] # 车牌号 number = words_result['number'] strover += ' 车牌号：{} \n '.format(number) except BaseException: error_msg = license_plates['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_4.setText(strover) # 7 驾驶证识别 def get_driving_license(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/driving_license" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) img = base64.b64encode(f) params = {"image": img} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: driving_licenses = json.loads(content) strover = '识别结果：\n' try: words_result = driving_licenses['words_result'] # 证号 Citizenship_number = words_result['证号']['words'] strover += ' 证号： {} \n '.format(Citizenship_number) # 准驾车型 Full_name = words_result['准驾车型']['words'] strover += ' 准驾车型：{} \n '.format(Full_name) # 姓名 name = words_result['姓名']['words'] strover += ' 姓名： {} \n '.format(name) # 国籍 nationality = words_result['国籍']['words'] strover += ' 国籍： {} \n '.format(nationality) # 出生日期 date_of_birth = words_result['出生日期']['words'] strover += ' 出生日期： {} \n '.format(date_of_birth) # 性别 sex = words_result['性别']['words'] strover += ' 性别： {} \n '.format(sex) # 初次领证日期 first_certificate_date = words_result['初次领证日期']['words'] strover += ' 初次领证日期： {} \n '.format(first_certificate_date) # 有效期限 Nation = words_result['有效期限']['words'] # 到期日期 to = words_result['至']['words'] strover += ' 有效期限：{}至{}\n '.format(Nation, to) # 住址 address = words_result['住址']['words'] strover += ' 住址：\n{} \n '.format(address) except BaseException: error_msg = driving_licenses['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_4.setText(strover) # 8 行驶证识别 def get_vehicle_license(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/vehicle_license" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) img = base64.b64encode(f) params = {"image": img} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: vehicle_licenses = json.loads(content) strover = '识别结果：\n' try: words_result = vehicle_licenses['words_result'] # 品牌型号 brand_model = words_result['品牌型号']['words'] strover += ' 品牌型号： {} \n '.format(brand_model) # 发证日期 date_of_certification = words_result['发证日期']['words'] strover += ' 发证日期：{} \n '.format(date_of_certification) # 使用性质 use_nature = words_result['使用性质']['words'] strover += ' 使用性质： {} \n '.format(use_nature) # 发动机号码 engine_number = words_result['发动机号码']['words'] strover += ' 发动机号码： {} \n '.format(engine_number) # 注册日期 date_of_registration = words_result['注册日期']['words'] strover += ' 注册日期： {} \n '.format(date_of_registration) # 号牌号码 number_number = words_result['号牌号码']['words'] strover += ' 号牌号码： {} \n '.format(number_number) # 车辆识别代号 vehicle_identification = words_result['车辆识别代号']['words'] strover += ' 车辆识别代号： {} \n '.format(vehicle_identification) # 车辆类型 vehicle_type = words_result['车辆类型']['words'] strover += ' 车辆类型： {} \n '.format(vehicle_type) # 所有人 owner = words_result['所有人']['words'] strover += ' 所有人：\n{} \n '.format(owner) # 住址 address = words_result['住址']['words'] strover += ' 住址：\n{} \n '.format(address) except BaseException: error_msg = vehicle_licenses['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_4.setText(strover) # 9 获取车型信息 def get_car(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/car" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) img = base64.b64encode(f) params = {"image": img, "top_num": 5} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: cars = json.loads(content) strover = '识别结果：\n' try: i = 1 for car in cars['result']: strover += '{} 车型：{} \n 年份：{} \n'.format(i, car['name'], car['year']) i += 1 except BaseException: error_msg = cars['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_4.setText(strover) # 10 获取logo信息 def get_logo(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v2/logo" # 二进制方式打开图片文件 f = self.get_file_content(self.download_path[0]) img = base64.b64encode(f) params = {"custom_lib": False, "image": img} params = urllib.parse.urlencode(params).encode('utf-8') request_url = request_url + "?access_token=" + access_token request = urllib.request.Request(url=request_url, data=params) request.add_header('Content-Type', 'application/x-www-form-urlencoded') response = urllib.request.urlopen(request) content = response.read() if content: logos = json.loads(content) strover = '识别结果：\n' try: i = 1 for logo in logos['result']: strover += '{} Logo名称：{} \n'.format(i, logo['name']) i += 1 except BaseException: error_msg = logos['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_4.setText(strover) # 读取图片 def get_file_content(self, filePath): with open(filePath, 'rb') as fp: return fp.read() if __name__ == '__main__': app = QtWidgets.QApplication(sys.argv) MainWindow = QtWidgets.QMainWindow() ui = Ui_Form() ui.setupUi(MainWindow) MainWindow.show() sys.exit(app.exec_())为了方便测试，已经将所有项目文件和所需的测试图片打包上传了
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