OpenCv 3.1 中给定矩阵的错误形状 - Java

Posted 2023-02-22

【中文标题】OpenCv 3.1 中给定矩阵的错误形状 - Java

【英文标题】：Wrong Shapes for Given Matrices in OpenCv 3.1 - Java

【发布时间】：2017-05-19 09:56:23

【问题描述】：

我已经训练了 FaceRecognizer，所有图像的大小都相同，并将灰度图像传递给预测器。但我面临这个错误

OpenCV 错误：错误参数（给定矩阵的形状错误。大小（src）=（1,150544），大小（W）=（37636,5）。）在 subspaceProject，文件 /home/* *******/opencv/modules/core/src/lda.cpp，第 182 行

这里是代码

public static void main(String[] args) 
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        String trainingDir = "res/";
        File root = new File(trainingDir);
        FilenameFilter imgFilter = new FilenameFilter() 
            public boolean accept(File dir, String name) 
                name = name.toLowerCase();
                return name.endsWith(".jpg") || name.endsWith(".pgm") || name.endsWith(".png");
            
        ;

        File[] imageFiles = root.listFiles(imgFilter);
        ArrayList <Mat> images = new ArrayList(imageFiles.length);
        Mat labels = new Mat(imageFiles.length,1,CvType.CV_32SC1);
        int[][] labelsBuffer = new int[imageFiles.length][imageFiles.length];

        int counter =0;
        for(File image: imageFiles)
            Mat img = Imgcodecs.imread(image.getAbsolutePath(),Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
            int label = Integer.parseInt(image.getName().split("\\.")[2]);
            //images.add(label, img);
            images.add(img);
            counter++;
        
        FaceRecognizer faceRecognizer = Face.createEigenFaceRecognizer();
        Mat temp = new Mat();

        faceRecognizer.train(images, labels);
        CascadeClassifier cascadeFaceClassifier = new CascadeClassifier(
                "haarcascade_frontalface_default.xml");
        VideoCapture videoDevice = new VideoCapture();
        videoDevice.open(0);
        int x = 0;
        if (videoDevice.isOpened()) 
            while (true)       
                Mat frameCapture = new Mat();
                videoDevice.read(frameCapture);
                MatOfRect faces = new MatOfRect();
                cascadeFaceClassifier.detectMultiScale(frameCapture, faces, 2.0, 5, 0,new Size(),new Size());


                for (Rect rect : faces.toArray()) 
                    Mat resizedCapture = new Mat(frameCapture,rect);
                    Imgproc.cvtColor(resizedCapture, resizedCapture, Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
                    Size imageSize = new Size(194,194);
                    Imgproc.resize(resizedCapture,resizedCapture , imageSize);

                    System.out.println(images.get(0).rows());
                    System.out.println(resizedCapture.rows());
                    System.out.println(images.get(0).cols());
                    System.out.println(resizedCapture.cols());
                    try
                        x = faceRecognizer.predict_label(resizedCapture);
                    catch(Exception e)
                        System.out.println(e.getMessage());
                    
                    x++;
                    Imgproc.putText(frameCapture, "Face"+x, new Point(rect.x,rect.y-5), 1, 2, new Scalar(0,0,255));
                    Imgproc.rectangle(frameCapture, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),new Scalar(0, 100, 0),3);
                



                PushImage(ConvertMat2Image(frameCapture));
                //System.out.println(String.format("FACES = %s EYES =  %s detected.", faces.toArray().length,eyes.toArray().length,nose.toArray().length));
            
         else 
            System.out.println("Video Device Not Working");
            return;
        
    
    private static BufferedImage ConvertMat2Image(Mat matImage) 


        MatOfByte matOfByte = new MatOfByte();
        Imgcodecs.imencode(".jpg", matImage, matOfByte);
        byte[] byteArray = matOfByte.toArray();
        BufferedImage img = null;
        try 
            InputStream in = new ByteArrayInputStream(byteArray);
            img = ImageIO.read(in);
         catch (Exception e) 
            e.printStackTrace();
            return null;
        
        return img;
    

    public static void PencereHazirla() 
        frame = new JFrame();
        frame.setLayout(new FlowLayout());
        frame.setSize(700, 600);
        frame.setVisible(true);
        frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
    
    public static void PushImage(Image img2) 
        if (frame == null)
            PencereHazirla();
        if (lbl != null)
            frame.remove(lbl);
        icon = new ImageIcon(img2);
        lbl = new JLabel();
        lbl.setIcon(icon);
        frame.add(lbl);
        frame.revalidate();
    

【问题讨论】：

请不要发布整个代码，否则会导致没有人会阅读您的问题。

@BahramdunAdil 谢谢你的建议。但问题是我认为这种问题必须与整个代码一起发布。这只是我正在谈论的问题的代码

@Hasnain 您需要创建一个演示问题的最小代码示例，首先一遍又一遍地删除无关代码，直到您拥有仅包含复制问题所需的代码的内容。见：How to create a Minimal, Complete, and Verifiable example

@MarkOmo 非常感谢你，下次我会照顾它的。

【参考方案1】：

我正在尝试 Image.cvtColor 并使用 Imagecodecs 转换为灰度增加了 4 倍。 解决方法是

Imgproc.cvtColor(resizedCapture, resizedCapture, Imgproc.COLOR_BGR2GRAY);

Answer Given on opencv community