Example usage for org.opencv.core Mat get

Introduction

In this page you can find the example usage for org.opencv.core Mat get.

Prototype

public int get(int row, int col, double[] data) 

Source Link

Usage

From source file:com.example.thibautg.libreaudioview.Sonifier.java

License:Open Source License

/**
 *
 * @param processedFrame//from  w  ww. ja v a2  s  . co  m
 */
public void sonifyFrame(Mat processedFrame) {

    Arrays.fill(generatedFloatSnd, 0);
    processedFrame.get(0, 0, mBuff);

    int nbRows = Globals.outputFrameHeight;
    int nbCols = Globals.outputFrameWidth;
    int IDPix = 0;
    int cptSonifiedPix = 0;
    nbHotPix = 0;

    //Record IDs of active pixels
    for (int idLine = 0; idLine < nbRows; ++idLine) {
        for (int idColumn = 0; idColumn < nbCols; ++idColumn) {
            IDPix = idLine * nbCols + idColumn;
            if (mBuff[IDPix] != 0) {
                listIDHotPix[nbHotPix] = IDPix;
                nbHotPix += 1;
            }
            IDPix += 1;
        }
    }
    //down: to leave if compression

    int totalNbSimplification = 10000000;
    int maxNbUsedSimplification = 10000000;

    //float factorCompression = 500;
    float factorCompression = 800;
    float nbKeptHotPixel = factorCompression * (1 - factorCompression / ((float) nbHotPix + factorCompression));
    float ratio = (float) nbKeptHotPixel / (float) nbHotPix;

    totalNbSimplification = 100;
    maxNbUsedSimplification = (int) (ratio * 100);

    int cptSimplification = 0;
    for (int idHotPix = 0; idHotPix < nbHotPix; ++idHotPix) {
        IDPix = listIDHotPix[idHotPix];

        if (cptSimplification == totalNbSimplification - 1) {
            cptSimplification = 0;
        }

        if ((cptSimplification < maxNbUsedSimplification)) {
            for (int idValue = 0; idValue < generatedFloatSnd.length; ++idValue) {
                generatedFloatSnd[idValue] += listSound[IDPix][idValue];
            }
        }
        cptSimplification += 1;
    }
    //up: to leave if compression

    //dow: to leave if no compression
    /*for (int idHotPix = 0; idHotPix<nbHotPix; ++idHotPix) {
    IDPix = listIDHotPix[idHotPix];
    for (int idValue=0; idValue<generatedFloatSnd.length; ++idValue) {
        generatedFloatSnd[idValue] += listSound[IDPix][idValue];
    }
    }*/
    //up: to leave if no compression

    loops: for (int idLine = 0; idLine < nbRows; ++idLine) {
        for (int idColumn = 0; idColumn < nbCols; ++idColumn) {
            IDPix = idLine * nbCols + idColumn;
            if (mBuff[IDPix] != 0) {
                for (int idValue = 0; idValue < generatedFloatSnd.length; ++idValue) {
                    generatedFloatSnd[idValue] += listSound[IDPix][idValue];
                }
                cptSonifiedPix += 1;
                if (cptSonifiedPix == 100) {
                    break loops;
                }
            }
        }
    }
    for (int idValue = 0; idValue < generatedShortSnd.length; ++idValue) {
        generatedShortSnd[idValue] = (short) (mAmplitude * generatedFloatSnd[idValue]);
    }
    mAudioOutput.pushSound(generatedShortSnd);
}

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From source file:com.example.yannic.remotefacedetection.agent.FaceDetectionAgent.java

License:Open Source License

public static BufferedImage matToBufferedImage(Mat matrix, BufferedImage bimg) {
    if (matrix != null) {
        int cols = matrix.cols();
        int rows = matrix.rows();
        int elemSize = (int) matrix.elemSize();
        byte[] data = new byte[cols * rows * elemSize];
        int type;
        matrix.get(0, 0, data);
        switch (matrix.channels()) {
        case 1://w  w w  .ja va2 s. c  om
            type = BufferedImage.TYPE_BYTE_GRAY;
            break;
        case 3:
            type = BufferedImage.TYPE_3BYTE_BGR;
            // bgr to rgb
            byte b;
            for (int i = 0; i < data.length; i = i + 3) {
                b = data[i];
                data[i] = data[i + 2];
                data[i + 2] = b;
            }
            break;
        default:
            return null;
        }

        if (bimg == null || bimg.getWidth() != cols || bimg.getHeight() != rows || bimg.getType() != type) {
            bimg = new BufferedImage(cols, rows, type);
        }
        bimg.getRaster().setDataElements(0, 0, cols, rows, data);
    } else {
        bimg = null;
    }
    return bimg;
}

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From source file:com.github.rosjava_catkin_package_a.ARLocROS.Imshow.java

License:Apache License

/**
 * @param opencvImage/*from  w w w  . j ava 2  s . c o  m*/
 */
public static void show(Mat opencvImage) {

    Dimension frameSize = new Dimension(opencvImage.rows(), opencvImage.cols());
    if (frame == null) {
        frame = new Imshow("", frameSize.height, frameSize.width);
        frame.Window.setVisible(true);

        frame.Window.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE);
        if (frame.SizeCustom) {
            Imgproc.resize(opencvImage, opencvImage, new Size(frame.Height, frame.Width));
        }
    }
    BufferedImage bufImage = null;
    try {

        int type = BufferedImage.TYPE_BYTE_GRAY;
        if (opencvImage.channels() > 1) {
            type = BufferedImage.TYPE_3BYTE_BGR;
        }
        int bufferSize = opencvImage.channels() * opencvImage.cols() * opencvImage.rows();
        byte[] b = new byte[bufferSize];
        opencvImage.get(0, 0, b);
        BufferedImage bufferedImage = new BufferedImage(opencvImage.cols(), opencvImage.rows(), type);
        final byte[] targetPixels = ((DataBufferByte) bufferedImage.getRaster().getDataBuffer()).getData();
        System.arraycopy(b, 0, targetPixels, 0, b.length);
        bufImage = bufferedImage;
        frame.image.setImage(bufImage);
        frame.Window.pack();
        frame.label.updateUI();
        //frame.Window.setVisible(true);
    } catch (Exception e) {
        e.printStackTrace();
    }
}

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From source file:com.ibm.streamsx.edgevideo.device.edgent.JsonMat.java

License:Open Source License

private static String base64MimeEncodeMat(Mat mat) {
    int width = mat.width(), height = mat.height(), channels = mat.channels();

    // resize if needed
    // With initial resize factor of 4 and being within 2' of the MBP camera,
    // a face image seems to be on the order of 15Kb.
    if (width * height * channels > 50 * 1024) {
        Mat smallerFace = new Mat();
        int resizeFactor = 2;
        Imgproc.resize(mat, smallerFace, new Size(mat.width() / resizeFactor, mat.height() / resizeFactor));
        mat = smallerFace;/* www . j a  va 2  s  .  c  o m*/
        width = mat.width();
        height = mat.height();
        channels = mat.channels();
    }

    byte[] sourcePixels = new byte[width * height * channels];
    mat.get(0, 0, sourcePixels);

    // Base64 encode the image to be able to package in JsonObject
    // java.utils.Base64 since 1.8, otherwise use Apache Commons
    Encoder encoder = Base64.getMimeEncoder();
    String base64 = encoder.encodeToString(sourcePixels);

    //System.out.println("pub face bytes size: " + sourcePixels.length + " base64 size:" + base64.length());

    return base64;
}

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From source file:com.ibm.streamsx.edgevideo.device.MyPanel.java

License:Open Source License

public boolean matToBufferedImage(Mat mat, int bufferedImageType) {
    int width = mat.width(), height = mat.height(), channels = mat.channels();
    byte[] sourcePixels = new byte[width * height * channels];
    mat.get(0, 0, sourcePixels);
    // create new image and get reference to backing data  
    image = new BufferedImage(width, height, bufferedImageType);
    final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
    System.arraycopy(sourcePixels, 0, targetPixels, 0, sourcePixels.length);
    return true;//w w  w .  j  a v  a2s .  c om
}

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From source file:com.lauszus.facerecognitionapp.TinyDB.java

License:Apache License

public void putListMat(String key, ArrayList<Mat> objArray) {
    checkForNullKey(key);/*from  w  ww .  j  a  va 2  s.  c  om*/
    ArrayList<String> objStrings = new ArrayList<String>();

    for (Mat mat : objArray) {
        int size = (int) (mat.total() * mat.channels());
        byte[] data = new byte[size];
        mat.get(0, 0, data);
        String dataString = new String(Base64.encode(data, Base64.DEFAULT));
        objStrings.add(dataString);
    }
    putListString(key, objStrings);
}

---

From source file:com.Linguist.model.grayscaleClass.java

@Override
public File imagePreprocessing(String image, String extnsn) {

    BufferedImage bImge = null;//ww w .  j a v  a 2s  .  c  om
    BufferedImage bImage2 = null;
    File grayscle = null;

    try {

        // loadOpenCV_Lib();
        //String path = "opencv\\build\\java\\x64\\opencv_java300.dll";
        FileInputStream fileName = new FileInputStream(
                "C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\" + image);
        InputStream input = fileName;
        bImge = ImageIO.read(input);
        byte[] imgeByte = ((DataBufferByte) bImge.getRaster().getDataBuffer()).getData();
        Mat mat1 = new Mat(bImge.getHeight(), bImge.getWidth(), CvType.CV_8UC3);
        mat1.put(0, 0, imgeByte);
        Mat mat2 = new Mat(bImge.getHeight(), bImge.getWidth(), CvType.CV_8UC1);
        Imgproc.cvtColor(mat1, mat2, Imgproc.COLOR_RGB2GRAY);
        byte[] imageData = new byte[mat2.rows() * mat2.cols() * (int) (mat2.elemSize())];
        mat2.get(0, 0, imageData);
        bImage2 = new BufferedImage(mat2.cols(), mat2.rows(), BufferedImage.TYPE_BYTE_GRAY);
        bImage2.getRaster().setDataElements(0, 0, mat2.cols(), mat2.rows(), imageData);

        String extn = null;
        switch (extnsn) {
        case ".jpg":
            extn = "jpg";
            break;
        case ".png":
            extn = "png";
            break;
        case ".pdf":
            extn = "pdf";
            break;
        case ".tiff":
            extn = "tif";
            break;

        }
        //writing the grayscale image to the folder
        grayscle = new File(
                "C:\\Users\\User\\Documents\\GitHub\\Linguist\\web\\uploadedImage\\grayscale" + "." + extn);
        ImageIO.write(bImage2, "jpg", grayscle);
    } catch (IOException ex) {
        System.out.println("" + ex.getMessage());
    } catch (Exception ex) {
        Logger.getLogger(grayscaleClass.class.getName()).log(Level.SEVERE, null, ex);
    }
    return grayscle;

}

---

From source file:com.minio.io.alice.MatVideoWriter.java

License:Open Source License

private byte[] captureRawBytes(Mat mat) {
    int length = (int) (mat.total() * mat.elemSize());
    matByteArray = new byte[length];
    mat.get(0, 0, matByteArray);
    return matByteArray;
}

---

From source file:com.mycompany.analyzer.Analyzer.java

public BufferedImage mat2BufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1) {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }/*from w  ww  .  j  a  va2  s . c om*/
    int bufferSize = m.channels() * m.cols() * m.rows();
    byte[] b = new byte[bufferSize];
    m.get(0, 0, b); // get all the pixels
    BufferedImage image = new BufferedImage(m.cols(), m.rows(), type);
    final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
    System.arraycopy(b, 0, targetPixels, 0, b.length);
    return image;
}

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From source file:com.oetermann.imageclassifier.Util.java

License:Open Source License

public static void saveMat(String path, Mat mat) {
    File file = new File(path).getAbsoluteFile();
    file.getParentFile().mkdirs();//from  w  w  w.j  a  va 2  s . c o m
    try {
        int rows = mat.rows();
        int cols = mat.cols();
        int type = mat.type();
        Object data;
        switch (mat.type()) {
        case CvType.CV_8S:
        case CvType.CV_8U:
            data = new byte[(int) mat.total() * mat.channels()];
            mat.get(0, 0, (byte[]) data);
            break;
        case CvType.CV_16S:
        case CvType.CV_16U:
            data = new short[(int) mat.total() * mat.channels()];
            mat.get(0, 0, (short[]) data);
            break;
        case CvType.CV_32S:
            data = new int[(int) mat.total() * mat.channels()];
            mat.get(0, 0, (int[]) data);
            break;
        case CvType.CV_32F:
            data = new float[(int) mat.total() * mat.channels()];
            mat.get(0, 0, (float[]) data);
            break;
        case CvType.CV_64F:
            data = new double[(int) mat.total() * mat.channels()];
            mat.get(0, 0, (double[]) data);
            break;
        default:
            data = null;
        }
        try (ObjectOutputStream oos = new ObjectOutputStream(new FileOutputStream(path))) {
            oos.writeObject(rows);
            oos.writeObject(cols);
            oos.writeObject(type);
            oos.writeObject(data);
            oos.close();
        }
    } catch (IOException | ClassCastException ex) {
        System.err.println("ERROR: Could not save mat to file: " + path);
        //            Logger.getLogger(ImageClassifier.class.getName()).log(Level.SEVERE, null, ex);
    }
}

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