AI图像识别_头像搜索图片识别在线

import sys from PyQt5 import QtWidgets, QtCore from PyQt5.QtGui import * from PyQt5.QtWidgets import * from PyQt5.QtCore import * from PyQt5.QtWidgets import QFileDialog import json import base64 import urllib import urllib.request """ 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): #设置窗体名称 Form.setObjectName("Form") # 设置窗体大小 Form.resize(724, 489) # 创建显示要识别图片控件 self.image = QtWidgets.QLabel(Form) # 设置控件大小 self.image.setGeometry(QtCore.QRect(96, 140, 311, 301)) # 设置黑色边框 self.image.setStyleSheet("border-width: 1px;border-style: solid;border-color: rgb(0, 0, 0);") # 设置图片显示控件名称 self.image.setObjectName("image") # 创建窗体 self.widget = QtWidgets.QWidget(Form) # 窗体大小 self.widget.setGeometry(QtCore.QRect(110, 50, 221, 31)) # 设置名称 self.widget.setObjectName("widget") # 创建布局容器控件 self.horizontalLayout = QtWidgets.QHBoxLayout(self.widget) # 设置容器中内容边距  self.horizontalLayout.setContentsMargins(0, 0, 0, 0) # 设置名称 self.horizontalLayout.setObjectName("horizontalLayout") # 创建文字显示控件 self.label = QtWidgets.QLabel(self.widget) # 设置名称 self.label.setObjectName("label") # 把文字显示控件添加到布局容器中  self.horizontalLayout.addWidget(self.label) # 在窗体里创建选择内容控件 self.comboBox = QtWidgets.QComboBox(self.widget) # 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) # 创建窗体 self.widget1 = QtWidgets.QWidget(Form) # 创建窗体大小 self.widget1.setGeometry(QtCore.QRect(96, 90, 318, 31)) # 创建名称 self.widget1.setObjectName("widget1") # 新建横向布局 self.horizontalLayout_2 = QtWidgets.QHBoxLayout(self.widget1) self.horizontalLayout_2.setContentsMargins(0, 0, 0, 0) self.horizontalLayout_2.setObjectName("horizontalLayout_2") self.label_2 = QtWidgets.QLabel(self.widget1) self.label_2.setObjectName("label_2") self.horizontalLayout_2.addWidget(self.label_2) self.lineEdit = QtWidgets.QLineEdit(self.widget1) self.lineEdit.setObjectName("lineEdit") self.horizontalLayout_2.addWidget(self.lineEdit) # 新建按钮 self.pushButton = QtWidgets.QPushButton(self.widget1) self.pushButton.setObjectName("pushButton") self.horizontalLayout_2.addWidget(self.pushButton) self.widget2 = QtWidgets.QWidget(Form) self.widget2.setGeometry(QtCore.QRect(450, 50, 201, 401)) self.widget2.setObjectName("widget2") self.verticalLayout = QtWidgets.QVBoxLayout(self.widget2) self.verticalLayout.setContentsMargins(0, 0, 0, 0) self.verticalLayout.setObjectName("verticalLayout") self.label_3 = QtWidgets.QLabel(self.widget2) self.label_3.setLayoutDirection(QtCore.Qt.LeftToRight) # 设置内容自动换行  self.label_3.setWordWrap(True) # 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.verticalLayout.addWidget(self.label_3) self.pushButton_2 = QtWidgets.QPushButton(self.widget2) self.pushButton_2.setObjectName("pushButton_2") self.verticalLayout.addWidget(self.pushButton_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", "图像识别工具")) # 设置文字控件显示内容 self.label.setText(_translate("Form", "选择识别类型：")) # 设置下拉控件选项内容 self.comboBox.setItemText(0, _translate("Form", "菜品")) self.comboBox.setItemText(1, _translate("Form", "植物")) self.comboBox.setItemText(2, _translate("Form", "动物")) self.comboBox.setItemText(3, _translate("Form", "通用物体和场景")) self.comboBox.setItemText(4, _translate("Form", "红酒")) self.comboBox.setItemText(5, _translate("Form", "货币")) self.comboBox.setItemText(6, _translate("Form", "花卉")) self.comboBox.setItemText(7, _translate("Form", "果蔬类食材")) self.comboBox.setItemText(8, _translate("Form", "地标")) self.comboBox.setItemText(9, _translate("Form", "车型")) self.comboBox.setItemText(10, _translate("Form", "Logo")) # 设置控件显示文字 self.label_2.setText(_translate("Form", "选择要识别的图片：")) # 设置按钮显示的文字 self.pushButton.setText(_translate("Form", "选择...")) # 设置文本控件显示内容 self.label_3.setText(_translate("Form", "显示识别结果")) # 设置按钮内容 self.pushButton_2.setText(_translate("Form", "复制到剪切版")) # 为按钮设置方法  self.pushButton.clicked.connect(self.openfile) # 为按钮设置点击方法  self.pushButton_2.clicked.connect(self.copyText) # 复制文字到剪贴板方法 def copyText(self): # 复制文字到剪贴板 clipboard = QApplication.clipboard() # 设置复制的内容  clipboard.setText(self.label_3.text()) # 打开文件选择对话框方法 def openfile(self): # 启动选择文件对话空，查找jpg以及png图片 self.download_path = QFileDialog.getOpenFileName(self.widget1, "选择要识别的图片", "/", "Image Files(*.jpg *.png)") # 判断是否选择图片 if not self.download_path[0].strip(): # 没有选择图片 pass else: # 选择图片执行以下内容 # 设置图片路径  self.lineEdit.setText(self.download_path[0]) # 理由pixmap解析图片 pixmap = QPixmap(self.download_path[0]) # 等比例缩放图片 scaredPixmap = pixmap.scaled(QSize(311, 301), aspectRatioMode=Qt.KeepAspectRatio) # 设置图片  self.image.setPixmap(scaredPixmap) # 判断选择的类型 根据类型做相应的图片处理  self.image.show() # 判断选择的类型  self.typeTp() pass # 判断选择的类型 进行相应处理 def typeTp(self): # 菜品识别 if self.comboBox.currentIndex() == 0: #self.get_bankcard(self.get_token())  self.get_dishDetect(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 #通用识别 elif self.comboBox.currentIndex() == 3: self.get_advanced_general(self.get_token()) pass # 红酒识别 elif self.comboBox.currentIndex() == 4: self.get_redwine(self.get_token()) pass # 货币识别 elif self.comboBox.currentIndex() == 5: self.get_currency(self.get_token()) pass # 花卉识别 elif self.comboBox.currentIndex() == 6: self.get_flower(self.get_token()) pass # 果蔬类识别 elif self.comboBox.currentIndex() == 7: self.get_ingredient(self.get_token()) pass # 地标识别 elif self.comboBox.currentIndex() == 8: self.get_landmark(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 # 百度提供方法 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 #菜品识别 def get_dishDetect(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v2/dish" # 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: # 解析返回数据 dishDetect = 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: # i = 1 # for dish in dishDetect['result']: # strover += '{} 菜名：{} \n 卡路里：{} \n'.format(i, dish['name'], dish['calorie']) # i += 1 dish_result=dishDetect['result'] # 名称 name = dish_result[0]['name'] strover += ' 名称：\n {} \n '.format(name) # 能量 calorie = dish_result[0]['calorie'] strover += ' 卡路里：{} \n '.format(calorie) # 错误的时候提示错误原因 except BaseException: error_msg = dish_result['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) # 设置识别显示结果  self.label_3.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() #print(content) # 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_3.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_3.setText(strover) # 3 通用物体识别 def get_advanced_general(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general" # 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: general_result = json.loads(content) strover = '识别结果：\n' try: i=1 for general in general_result['result']: #票据内容 root =general['root'] keyword=general['keyword'] strover += '{} 物体标签：{} \n 物体名称：{} \n'.format(i, root, keyword) i+=1 except BaseException: error_msg = general_result['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_3.setText(strover) #4红酒识别 def get_redwine(self,access_token): request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/redwine" # 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: redwine = json.loads(content) strover = '识别结果：\n' hasdetail=redwine['result']['hasdetail'] try: wine_result=redwine['result'] if hasdetail==0: #print(wine_result) wineNameCn = wine_result['wineNameCn'] strover += ' 名称：\n {} \n '.format(wineNameCn) else: # 红酒名称 wine_name = wine_result['subRegionCn'] strover += ' 名称：\n {} \n '.format(wine_name) # 红酒品牌 wineNameCn = wine_result['wineNameCn'] strover += ' 品牌：{} \n '.format(wineNameCn) # 颜色 color = wine_result['color'] strover += ' 颜色：{} \n '.format(color) # 类型 classifyBySugar = wine_result['classifyBySugar'] strover += ' 类型：{} \n '.format(classifyBySugar) # 温度 tasteTemperature = wine_result['tasteTemperature'] strover += ' 温度：{} \n '.format(tasteTemperature) # 地址 countryCn = wine_result['countryCn'] strover += ' 地址：\n{}\n '.format(countryCn) #描述 description = wine_result['description'] strover += ' 描述：\n{}\n '.format(description) except BaseException: error_msg=wine_result['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) self.label_3.setText(strover) # #5 货币识别 def get_currency(self, access_token): request_url = "https://aip.baidubce.com/rest/2.0/image-classify/v1/currency" # 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: currency = json.loads(content) strover = '识别结果：\n' try: currency_result = currency['result'] currencyName = currency_result['currencyName'] strover += ' 货币类型：\n{} \n '.format(currencyName) # 民族 year = currency_result['year'] strover += ' 年份：{} \n '.format(year) # 面值 currencyDenomination = currency_result['currencyDenomination'] strover += ' 姓名：{} \n '.format(currencyDenomination) except BaseException: error_msg = currency_result['error_msg'] strover += ' 错误：\n {} \n '.format(error_msg) # 显示识别结果  self.label_3.setText(strover) # 读取图片 def get_file_content(self, filePath): with open(filePath, 'rb') as fp: return fp.read() # 程序主方法 if __name__ == '__main__': app = QtWidgets.QApplication(sys.argv) MainWindow = QtWidgets.QMainWindow() # 初始化窗体 ui = Ui_Form() # 调用创建窗体方法  ui.setupUi(MainWindow) # 显示窗体  MainWindow.show() sys.exit(app.exec_())