基于百度图像识别SDK开发动植物识别系统
百度图像识别SDK参考资料：https://ai.baidu.com/ai-doc/IMAGERECOGNITION/Nk3bcxfzd
任务一：配置百度图像识别Java SDK（占10%）
1.在官方网站下载Java SDK压缩工具包。
2.向新建的项目中导入解压后的jar包,不会导入的参考此文档：json的jar包导入到idea中 - zrswheart - 博客园 (cnblogs.com)
3.进入百度智能云-管理中心 (baidu.com)申请自己的App ID、Api Key、Secrect Key。
菜单->图像识别->创建应用
即可申请成功
测试代码（官网的）
public class Sample {
//设置APPID/AK/SK
public static final String APP_ID = "你的 App ID";
public static final String API_KEY = "你的 Api Key";
public static final String SECRET_KEY = "你的 Secret Key";
public static void main(String[] args) {
// 初始化一个AipImageClassify
AipImageClassify client = new AipImageClassify(APP_ID, API_KEY, SECRET_KEY);
// 可选：设置网络连接参数
client.setConnectionTimeoutInMillis(2000);
client.setSocketTimeoutInMillis(60000);
// 可选：设置代理服务器地址, http和socket二选一，或者均不设置
client.setHttpProxy("proxy_host", proxy_port); // 设置http代理
client.setSocketProxy("proxy_host", proxy_port); // 设置socket代理
// 调用接口
String path = "test.jpg";
JSONObject res = client.objectDetect(path, new HashMap<String, String>());
System.out.println(res.toString(2));
}
}
测试识别动物（植物）（官网的代码，自己拼接）
package com.company;
import java.util.HashMap;
import org.json.JSONArray;
import org.json.JSONObject;
import com.baidu.aip.imageclassify.AipImageClassify;
public class Sample {
//设置APPID/AK/SK
public static final String APP_ID = "28 3471";
public static final String API_KEY = "XuzpgGG eX5";
public static final String SECRET_KEY = "UT w9iw6CEfMElGttW7r";
public static void main(String[] args) {
// 初始化一个AipImageClassify
AipImageClassify client = new AipImageClassify(APP_ID, API_KEY, SECRET_KEY);
// 可选：设置网络连接参数
client.setConnectionTimeoutInMillis(2000);
client.setSocketTimeoutInMillis(60000);
// 可选：设置代理服务器地址, http和socket二选一，或者均不设置
// client.setHttpProxy("proxy_host", proxy_port); // 设置http代理
//client.setSocketProxy("proxy_host", proxy_port); // 设置socket代理
Sample.sample_animal(client);
}
public static void sample_animal(AipImageClassify client) {
// 传入可选参数调用接口
HashMap<String, String> options = new HashMap<String, String>();
options.put("top_num", "3");
options.put("baike_num", "5");
// 参数为本地路径
String image = "E:/test.jpg";
JSONObject res = client.animalDetect(image, options);
System.out.println(res.toString(2));
}
}
任务三：基于Java Swing+AWT完成动物识别应用界面，自行拍摄动物图片进行上传并查看结果（占30%）
任务四：基于Java Swing+AWT完成植物识别应用界面，自行拍摄植物图片进行上传并查看结果（占30%）
注意配置api-java-sdk .jar还有fastjson.jar
下面附上fastjson.jar的链接，过期了在评论区评论
fastjson-1.2.79.jar https://www.aliyundrive.com/s/vufv13T43VP 点击链接保存，或者复制本段内容，打开「阿里云盘」APP ，无需下载极速在线查看，视频原画倍速播放。
代码主要参考：基于百度图像识别SDK开发植物识别系统 - 宋浩伟 - 博客园 (cnblogs.com)感谢大佬
AuthService.java
package com.company;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.parser.DefaultJSONParser;
import com.baidu.aip.imageclassify.AipImageClassify;
import org.json.JSONObject;
import java.util.HashMap;
public class AuthService {
public static String name;
public static String description;
public static final String APP_ID = "28 471";
public static final String API_KEY = "XuzpgG g D LeX5";
public static final String SECRET_KEY = "UTeB Gt ctW7r";
public static void animalSample(AipImageClassify client, String image) {
// 传入可选参数调用接口
HashMap<String, String> options = new HashMap<String, String>();
options.put("top_num", "1");
options.put("baike_num", "0");
// 参数为本地路径
JSONObject res = client.animalDetect(image, options);
String result1 = res.get("result").toString();
JSONArray arr = JSON.parseArray(result1);
String jsonObject1 = arr.get(0).toString();
com.alibaba.fastjson.JSONObject obj = JSON.parseObject(jsonObject1);
String name = obj.getString("name");
String description = obj.getString("description");
AuthService.description = description;
AuthService.name = name;
}
public static void plantSample(AipImageClassify client, String image) {
// 传入可选参数调用接口
HashMap<String, String> options = new HashMap<String, String>();
options.put("baike_num", "0");
// 参数为本地路径
JSONObject res = client.plantDetect(image, options);
String result1 = res.get("result").toString();
com.alibaba.fastjson.JSONArray arr = JSON.parseArray(result1);
String jsonObject1 = arr.get(0).toString();
com.alibaba.fastjson.JSONObject obj = JSON.parseObject(jsonObject1);
String name = obj.getString("name");
String description = obj.getString("description");
AuthService.name = name;
AuthService.description = description;
}
}
test.java
package com.company;
import com.baidu.aip.imageclassify.AipImageClassify;
import javax.swing.*;
import javax.swing.filechooser.FileFilter;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import java.io.File;
public class test {
public static String myFile;
public static String[] type = new String[] {"动物","植物"};
public static String temp;
public static void main(String[] args) {
setLookAndFeel();
AuthService authService = new AuthService();
//主窗体基本信息
JFrame j = new JFrame("动植物识别系统");
j.setSize(800, 500);
j.setLocation(300, 100);
j.setLayout(null);
//下拉框选择查询类别
JLabel tishi = new JLabel("要识别图片的类型");
tishi.setBounds(280,20,200, 30);
JComboBox<String> cb = new JComboBox<>(type);
cb.setBounds(400, 20, 70, 30);
//打开文件信息
JFileChooser jfc = new JFileChooser();
jfc.setFileFilter(new FileFilter() {
@Override
public String getDescription() {
// TODO Auto-generated method stub
return null;
}
@Override
public boolean accept(File f) {
// TODO Auto-generated method stub
return true;
}
});
//图片容器
JLabel l = new JLabel();
//显示文字组件
JLabel jieguo = new JLabel("等待选择图片");
jieguo.setBounds(600, 150, 200, 50);
//获取图片按钮
JButton jb1 = new JButton("上传图片");
jb1.setBounds(200, 350, 100, 50);
jb1.addActionListener(new ActionListener() {
@Override
public void actionPerformed(ActionEvent e) {
// TODO Auto-generated method stub
int returnVal = jfc.showOpenDialog(j);
File file = jfc.getSelectedFile();
if (returnVal == JFileChooser.APPROVE_OPTION) {
myFile = file.getAbsolutePath();
myFile.replaceAll("\\\\", "/");
ImageIcon i = new ImageIcon(myFile);
l.setIcon(i);
l.setBounds(50,50,i.getIconWidth(),i.getIconHeight());
jb1.setBounds(i.getIconWidth()/2, i.getIconHeight()+100, 100, 50);
}
jieguo.setText("等待识别");
}
});
//上传百度接口验证按钮
JButton jb2 = new JButton("开始识别");
jb2.setBounds(600, 350, 100, 50);
jb2.addActionListener(new ActionListener() {
@Override
public void actionPerformed(ActionEvent e) {
// TODO Auto-generated method stub
AipImageClassify client = new AipImageClassify(AuthService.APP_ID, AuthService.API_KEY, AuthService.SECRET_KEY);
temp = cb.getSelectedItem().toString();
if(temp.equals("动物")) {
AuthService.animalSample(client, myFile);
} else {
AuthService.plantSample(client, myFile);
}
jieguo.setText("经识别该"+temp+"是："+AuthService.name);
}
});
j.add(tishi);
j.add(cb);
j.add(jieguo);
j.add(l);
j.add(jb1);
j.add(jb2);
j.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
j.setVisible(true);
}
private static void setLookAndFeel() {
try {
//javax.swing.UIManager.setLookAndFeel("com.birosoft.liquid.LiquidLookAndFeel");
//javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.smart.SmartLookAndFeel");
// javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.mcwin.McWinLookAndFeel");
// javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.luna.LunaLookAndFeel");
// javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.aluminium.AluminiumLookAndFeel");
// javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.bernstein.BernsteinLookAndFeel");
// javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.hifi.HiFiLookAndFeel");
// javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.mint.MintLookAndFeel");
// javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.aero.AeroLookAndFeel");
// javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.fast.FastLookAndFeel");
javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.acryl.AcrylLookAndFeel");
// javax.swing.UIManager.setLookAndFeel("com.jtattoo.plaf.noire.NoireLookAndFeel");
} catch (Exception e) {
e.printStackTrace();
// handle exception
}
}
}
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