团队冲刺第二阶段8

图片识别后生成的结果乱，所以导致识别内容获取关键字不准确，于是我进行了文本分隔和导入本地txt文本文件
再从字节流读取关键字，优化了程序：
package com.baidu.ai.aip.auth;
 
import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.util.Set;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import java.io.File;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;
import java.util.Map.Entry;
@SuppressWarnings("rawtypes")
 
public class text{
     private Map map;
        public text(){
            this.map=new HashMap();
        }
        public Map getMap() {
            return map;
        }
 
        @SuppressWarnings("unchecked")
        public text addRegulation(String oldStr, String newStr){
            this.map.put(oldStr, newStr);
            return this;
        }
        static String path = "D:\photo";    
        String[] files1 = { "动物-猫", "人", "植物", "动物-狗", "商品"};  
        String suffixName1 = "云端智能相册";
        public static void multiFloder(String path, String[] files, String suffixName){
            String filename = "1";
           
            for(int i = 0; i<files.length;i++){
                filename = (i+1)+"-"+files[i];
                File f = new File(path+"\"+filename+suffixName);
                f.mkdirs();
                System.out.println("创建文件夹成功！");
            }
        }
    /**
     * 读取txt文件的内容
     * @param file 想要读取的文件对象
     * @return 返回文件内容
     * @throws IOException
     */   
    private static final Set<String> shopType= Stream.of(
            "动物-猫", "人", "植物", "动物-狗", "商品"
    ).collect(Collectors.toSet());
     
    public static void main(String[] args) throws IOException{
        text.multiFloder(path, args, path);
        File file = new File("C:\Users\86188\Desktop\图片识别.txt");
        BufferedReader br = new BufferedReader(new FileReader(file));
        String line = null;
        while((line = br.readLine())!= null){ //一次读取一行
            String regexp = """;
            line = line.replaceAll(regexp, " ");
        System.out.println(line);
        String[] tmp = line.split("result_num :5}"); //根据result将每行数据拆分成一个数组
        for(int i=0; i<tmp.length; i++){
         
            //String me = tmp[i].substring(tmp[i].indexOf("root :"),tmp[i].indexOf("'keyword :'"));
            String me = tmp[i].substring(0,50);
            //String me = tmp[i];
            Set<String> name = getShoesType(me);
            System.out.println(name);}         
        }
        _fileUtil.main(args);
         
        br.close(); 
    }
    private static Set<String> getShoesType (String message){
        Set<String> clothesTypeSet = shopType.stream()
                .filter(clothesType -> message.contains(clothesType)).collect(Collectors.toSet());
        return clothesTypeSet;
    }
}