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;
    }
}