将新对象添加到 ArrayList 会导致内存泄漏？

Question

每当我尝试向问题数组列表添加新问题时，它都会泄漏内存。在问题 class 的构造函数中，我创建了五个新的矩形对象。有趣的是，当我在 Question class 的构造函数中注释掉五个新 Rectangle 时，本机内存停止泄漏至少 400 兆字节。当我运行 JProfiler 时，堆大小保持一致，但任务管理器显示正在使用超过 700 MB 的内存。

这是问题的构造函数Class

public Question(int number,int options,IplImage in,String imgname,int unit,Point orig, JsonArray cells, JsonArray rows, int avgr) throws CellsWrongDetection{
    nu  = number;
    this.imgname = imgname;
    totOpt  = options;
    this.cells = cells;
    this.rows = rows;
    this.avgr = avgr;
    optA = new Rectangle(in);
    optB = new Rectangle(in);
    optC = new Rectangle(in);
    optD = new Rectangle(in);
    optE = new Rectangle(in);
    optF = new Rectangle(in);
    tmpimgx = in;
    setoptloc();
    //drawmaps();
}

这是我在 ArrayList 中添加问题的地方

public void addAllQuestions(int[] options,String imgname) throws CellsWrongDetection{
    for (int i = 0; i < total; i++) {
        Question q=new Question(i, options[i], image, imgname, unit, orig, cells, rows, avgr);
        questions.add(q);

    }

}

这是矩形 Class

public class Rectangle extends Config{
private IplImage in;
public CvPoint tl,br;
public Rectangle(IplImage in){
    this.in = in;

}
public Rectangle()
{

}


public boolean isBlack(){
    double b=0,w=0;
    for (int y = tl.y(); y < br.y(); y++) {
        for (int x = tl.x(); x < br.x(); x++) {
            if (isblackp(x,y)) b++;
            else w++;
        }
    }
    double per = (b/w)*100 ;
    return (per <= percent)?false:true;
}
/***
 * Setting Edges points
 * @param p1 top-left corner
 * @param p2 bottom-right corner
 */
public void setCorn(CvPoint p1, CvPoint p2) {
    tl = p1;
    br = p2;
}
public void setCorn(int x0,int y0,int x1,int y1){
    //System.out.println("Setting points x0= "+x0+",y0="+y0+",x1= "+x1+",y1="+y1);
    CvPoint p1 = new CvPoint(),
            p2 = new CvPoint();
    p1.x(x0);p1.y(y0);
    p2.x(x1);p2.y(y1);
    setCorn(p1, p2);
}
public String displayCorners(){
    return "TopLeft ("+tl.x()+","+tl.y()+") BottomRight ("+br.x()+","+br.y()+")";
}
public double getheight(){
    return br.x() - tl.x();
}
public double getwidth(){
    return br.y() - tl.y();
}
/*
 * Detecting if pixel is black
 * @return boolean
 */
public boolean isblackp(int x,int y){
    CvScalar s=cvGet2D(in,y,x);
    in.release();
    cvReleaseImage(in);
    //System.out.println( "B:"+ s.val(0) + " G:" + s.val(1) + " R:" + s.val(2));//Print values
    return (s.val(2) <= cB && s.val(0) <= cG
            && s.val(1) <= cR)?true :false;
}

} 编辑：该列表在控制器中被清除。

        for ( File file : filesInDirectory ) {

                if(isCancelled()){
                    view.dialog.setVisible(false);

                    return null;
                }

                view.SetNumerator(++index);
                String curimgname = file.getName();
                logger.log(Level.INFO,"Selected file "+curimgname);

                try {

                    sheet = new OmrModel(fh);
                    setProgress(0);


                    sheet.setpaths(curimgname, directory.toString());
                    setProgress(5);

                    sheet.init();
                    setProgress(10);


                    sheet.lookref("first");
                    setProgress(20);
                    sheet.scale();
                    sheet.lookref("second");
                    setProgress(25);
                    initDocs();
                    setProgress(30);

                    sheet.circle();
                    setProgress(40);

                    initQuestions(sheet.getQuestions(),sheet.getoptions(),sheet.getcols(),sheet.getrows(),sheet.avgr());

                    setProgress(50);

                    String[] results = sheet.getresults();
                    setProgress(60);

                    sheet.ClearQuestions();

                    sheet.drawgrid();
                    setProgress(70);

                    outcsv.println(curimgname+","+Arrays.toString(results));
                    setProgress(80);

                    genrslt(docs,sheet.getstudent(),"OMR", results);
                    setProgress(90);

                    //docs.push();
                    setProgress(100);
                    //movefile(file.getPath(),0);
                    System.gc();
                    System.out.println("Relaseing");
                    setProgress(100);
                    sheet.release();
                    publish(curimgname+"#"+sheet.getQrCode()+"#success");
                } catch (UnableToDetectOptions | WrongFileAttributes | UnableToLoadImage | UnableToDetectMarkers | MappingNotCorrect | WrongMarkers e1){
                    publish(curimgname+"#"+sheet.getQrCode()+"#"+e1.getMessage());
                    sheet.release();
                    //movefile(file.getPath(),-1);

                }

                catch (CouchDbException e2){
                    publish(curimgname+"#"+sheet.getQrCode()+"#Error Code 13");
                    //movefile(file.getPath(),-1);
                    sheet.release();
                } catch (RuntimeException e2){
                    e2.printStackTrace();
                    publish(curimgname+"#"+sheet.getQrCode()+"#Error Code 7");
                    sheet.release();
                    //movefile(file.getPath(),-1);
                } catch (CancelException | QrFailedToDetect e1){
                    publish(curimgname+"# #Error Code"+e1.getMessage());
                    //movefile(file.getPath(),1);
                    sheet.release();
                }
                catch(OutOfMemoryError e4)
                {
                    e4.printStackTrace();   
                    sheet.release();
                }


            }
            return null;

Answer 1

你没有泄漏内存； java GC 仅在您接近运行内存不足时才有效地释放无法访问（未使用）的对象；因此，您可以在任务管理器中看到 1GB，即使它比活动对象实际使用的空间少 10 倍。

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