深度学习之垃圾分类系统（准确率高达近99%）

import re
import requests
from urllib import error
from bs4 import BeautifulSoup
import os

num = 0
numPicture = 0
file = ''
List = []


def Find(url):
    global List
    print('正在检测图片总数，请稍等.....')
    t = 0
    i = 1
    s = 0
    while t < 1000:
        Url = url + str(t)
        try:
            Result = requests.get(Url, timeout=7)
        except BaseException:
            t = t + 60
            continue
        else:
            result = Result.text
            pic_url = re.findall('"objURL":"(.*?)",', result, re.S)  # 先利用正则表达式找到图片url
            s += len(pic_url)
            if len(pic_url) == 0:
                break
            else:
                List.append(pic_url)
                t = t + 60
    return s


def recommend(url):
    Re = []
    try:
        html = requests.get(url)
    except error.HTTPError as e:
        return
    else:
        html.encoding = 'utf-8'
        bsObj = BeautifulSoup(html.text, 'html.parser')
        div = bsObj.find('div', id='topRS')
        if div is not None:
            listA = div.findAll('a')
            for i in listA:
                if i is not None:
                    Re.append(i.get_text())
        return Re


def dowmloadPicture(html, keyword):
    global num
    # t =0微观
    pic_url = re.findall('"objURL":"(.*?)",', html, re.S)  # 先利用正则表达式找到图片url
    print('找到关键词:' + keyword + '的图片，即将开始下载图片...')
    for each in pic_url:
        print('正在下载第' + str(num + 1) + '张图片，图片地址:' + str(each))
        try:
            if each is not None:
                pic = requests.get(each, timeout=7)
            else:
                continue
        except BaseException:
            print('错误，当前图片无法下载')
            continue
        else:
            string = file + r'\\\\' + keyword + '_' + str(num) + '.jpg'
            fp = open(string, 'wb')
            fp.write(pic.content)
            fp.close()
            num += 1
        if num >= numPicture:
            return


if __name__ == '__main__':  # 主函数入口
    tm = int(input('请输入每类图片的下载数量 '))
    numPicture = tm
    line_list = []
    with open('./name.txt', encoding='utf-8') as file:
        line_list = [k.strip() for k in file.readlines()]  # 用 strip()移除末尾的空格

    for word in line_list:
        url = 'http://image.baidu.com/search/flip?tn=baiduimage&ie=utf-8&word=' + word + '&pn='
        tot = Find(url)
        Recommend = recommend(url)  # 记录相关推荐
        print('经过检测%s类图片共有%d张' % (word, tot))
        file = word
        y = os.path.exists(file)
        if y == 1:
            print('该文件已存在，请重新输入')
            file = word
            os.mkdir(file)
        else:
            os.mkdir(file)
        t = 0
        tmp = url
        while t < numPicture:
            try:
                url = tmp + str(t)
                result = requests.get(url, timeout=10)
                print(url)
            except error.HTTPError as e:
                print('网络错误，请调整网络后重试')
                t = t + 60
            else:
                dowmloadPicture(result.text, word)
                t = t + 60
        numPicture = numPicture + tm

    print('任务完成')

@RequestMapping("/upload")
        public String fileUpload(@RequestParam("file") CommonsMultipartFile file,
                             HttpServletResponse response,
                             HttpServletRequest request, Model model) throws IOException,InterruptedException {
        //上传路径保存设置getServletContext
        String path=request.getServletContext().getRealPath("/upload");
        //获取文件名 : file.getOriginalFilename();
        String uploadFileName = file.getOriginalFilename();
        //如果文件名为空，直接回到首页
        if ("".equals(uploadFileName)){
            return "redirect:/index.jsp";
        }
        System.out.println("上传文件名 : "+uploadFileName);


        //如果路径不存在，创建一个
        File realPath = new File("E:/Java_project/garbage/src/main/Detection/test");
        if (!realPath.exists()){
            realPath.mkdir();
        }
        // 将文件名传到前端，由${filename}方式获取
        model.addAttribute("filename",uploadFileName);
        System.out.println("上传文件保存地址："+realPath);

        InputStream is = file.getInputStream(); //文件输入流
        OutputStream os = new FileOutputStream(new File(realPath,uploadFileName)); //文件输出流
        //读取写出
        int len=0;
        byte[] buffer = new byte[1024];
        while ((len=is.read(buffer))!=-1){
            os.write(buffer,0,len);
            os.flush();
        }
        os.close();
        is.close();

        /*python--->java core code*/

        Process proc;
        try{

            String str="./test/";
            proc = Runtime.getRuntime().exec("python Test_model.py "+str+uploadFileName,
                    null,new File("E:/Java_project/garbage/src/main/Detection"));
            BufferedReader in = new BufferedReader(new InputStreamReader(proc.getInputStream()));
            StringBuffer sb = new StringBuffer();
            String line;
            while ((line = in.readLine()) != null) {
                sb.append(line);
            }
            in.close();
            proc.waitFor();
            sb.toString();

            /*detect time limit*/
            Timer timer=startTimer();
            Thread.sleep(1000*30);
            System.out.println("End time:"+getCurrentTime());
            timer.cancel();
            /*detect time limit*/

            /*Test code*/
        }catch (IOException e){
            e.printStackTrace();
        }catch (InterruptedException e){
            e.printStackTrace();
        }