Example usage for org.opencv.core Mat cols

Introduction

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

Prototype

public int cols() 

Source Link

Usage

From source file:io.appium.java_client.ScreenshotState.java

License:Apache License

/**
 * Compares two valid java bitmaps and calculates similarity score between them.
 *
 * @param refImage   reference image//  w  w  w  . ja va  2 s  . com
 * @param tplImage   template
 * @param resizeMode one of possible enum values. Set it either to <em>TEMPLATE_TO_REFERENCE_RESOLUTION</em> or
 *                   <em>REFERENCE_TO_TEMPLATE_RESOLUTION</em> if given bitmaps have different dimensions
 * @return similarity score value in range (-1.0, 1.0). 1.0 is returned if the images are equal
 * @throws ScreenshotComparisonError if provided images are not valid or have
 *                                   different resolution, but resizeMode has been set to <em>NO_RESIZE</em>
 */
public static double getOverlapScore(BufferedImage refImage, BufferedImage tplImage, ResizeMode resizeMode) {
    Mat ref = prepareImageForComparison(refImage);
    if (ref.empty()) {
        throw new ScreenshotComparisonError("Reference image cannot be converted for further comparison");
    }
    Mat tpl = prepareImageForComparison(tplImage);
    if (tpl.empty()) {
        throw new ScreenshotComparisonError("Template image cannot be converted for further comparison");
    }
    switch (resizeMode) {
    case TEMPLATE_TO_REFERENCE_RESOLUTION:
        tpl = resizeFirstMatrixToSecondMatrixResolution(tpl, ref);
        break;
    case REFERENCE_TO_TEMPLATE_RESOLUTION:
        ref = resizeFirstMatrixToSecondMatrixResolution(ref, tpl);
        break;
    default:
        // do nothing
    }

    if (ref.width() != tpl.width() || ref.height() != tpl.height()) {
        throw new ScreenshotComparisonError(
                "Resolutions of template and reference images are expected to be equal. "
                        + "Try different resizeMode value.");
    }

    Mat res = new Mat(ref.rows() - tpl.rows() + 1, ref.cols() - tpl.cols() + 1, CvType.CV_32FC1);
    Imgproc.matchTemplate(ref, tpl, res, Imgproc.TM_CCOEFF_NORMED);
    return Core.minMaxLoc(res).maxVal;
}

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From source file:io.github.jakejmattson.facialrecognition.FacialRecognition.java

License:Open Source License

private static int compareFaces(Mat currentImage, String fileName) {
    Mat compareImage = Imgcodecs.imread(fileName);
    ORB orb = ORB.create();
    int similarity = 0;

    MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
    MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
    orb.detect(currentImage, keypoints1);
    orb.detect(compareImage, keypoints2);

    Mat descriptors1 = new Mat();
    Mat descriptors2 = new Mat();
    orb.compute(currentImage, keypoints1, descriptors1);
    orb.compute(compareImage, keypoints2, descriptors2);

    if (descriptors1.cols() == descriptors2.cols()) {
        MatOfDMatch matchMatrix = new MatOfDMatch();
        DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMING);
        matcher.match(descriptors1, descriptors2, matchMatrix);
        DMatch[] matches = matchMatrix.toArray();

        for (DMatch match : matches)
            if (match.distance <= 50)
                similarity++;/*from w w w .  j  ava2s .  c  o  m*/
    }

    return similarity;
}

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From source file:io.smartspaces.service.image.vision.opencv.MatUtils.java

License:Apache License

/**
 * Converts a {@link Mat} into a {@link BufferedImage}.
 *
 * @param matrix/*from   www.j a v  a 2  s  .c  o  m*/
 *          Mat of type CV_8UC3 or CV_8UC1
 *
 * @return BufferedImage of type TYPE_3BYTE_BGR or TYPE_BYTE_GRAY
 *
 * @throws SimpleSmartSpacesException
 *           the OpenCV Mat type is not supported
 */
public static BufferedImage matToBufferedImage(Mat matrix) throws SimpleSmartSpacesException {
    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:
        type = BufferedImage.TYPE_BYTE_GRAY;
        break;
    case 3:
        type = BufferedImage.TYPE_3BYTE_BGR;
        for (int i = 0; i < data.length; i = i + 3) {
            byte b = data[i];
            data[i] = data[i + 2];
            data[i + 2] = b;
        }
        break;
    default:
        throw new SimpleSmartSpacesException("The OpenCV Mat type is not supported");
    }

    BufferedImage image = new BufferedImage(cols, rows, type);
    image.getRaster().setDataElements(0, 0, cols, rows, data);

    return image;
}

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From source file:jarvis.module.colourtracking.Mat2Image.java

public void getSpace(Mat mat) {
    this.mat = mat;
    int w = mat.cols(), h = mat.rows();
    if (dat == null || dat.length != w * h * 3)
        dat = new byte[w * h * 3];
    if (img == null || img.getWidth() != w || img.getHeight() != h
            || img.getType() != BufferedImage.TYPE_3BYTE_BGR)
        img = new BufferedImage(w, h, BufferedImage.TYPE_3BYTE_BGR);
}

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From source file:jarvis.module.colourtracking.Mat2Image.java

BufferedImage getImage(Mat mat) {
    //----------Additional line-----------------------------------------------------
    Imgproc.cvtColor(mat, mat, Imgproc.COLOR_RGB2BGR);
    //------------------------------------------------------------------------------
    getSpace(mat);/*ww w.  j  a  va2s .co  m*/
    mat.get(0, 0, dat);
    img.getRaster().setDataElements(0, 0, mat.cols(), mat.rows(), dat);
    return img;
}

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From source file:javaapplication1.Ocv.java

void directManip(String input, String output) {
    // load the image and read it into a matrix
    File f2 = new File(input);
    Mat image = Highgui.imread(this.input);

    // we're know we're working in 24-bit color dept, so prepare a 3-byte
    // array for storing cells from the Matrix
    byte[] vec3 = new byte[3];

    // Note: we are traversing every other column and every other row
    for (int i = 0; i < image.cols(); i += 2) {
        for (int j = 0; j < image.rows(); j += 2) {
            // get pixel, just to show how to get pixels...
            image.get(j, i, vec3);/*from   w  w w.  j av a  2 s.  c o  m*/
            // create a zero pixel
            for (int z = 0; z < 3; ++z)
                vec3[z] = 0;
            // set the current pixel to zero
            image.put(j, i, vec3);
        }
    }

    // output the file
    Highgui.imwrite(this.output, image);
}

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From source file:javacv.JavaCV.java

/**
 * Converts/writes a Mat into a BufferedImage.
 *
 * @param matrix Mat of type CV_8UC3 or CV_8UC1
 * @return BufferedImage of type TYPE_3BYTE_BGR or TYPE_BYTE_GRAY
 *///from   w w w  . jav  a 2 s  .  c o m
public static BufferedImage matToBufferedImage(Mat matrix) {
    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:
        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;
    }
    BufferedImage image2 = new BufferedImage(cols, rows, type);
    image2.getRaster().setDataElements(0, 0, cols, rows, data);
    return image2;
}

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From source file:javafx1.JavaFX1.java

public Image bildLaden() {
        Image zwischenBild = null;

        try {//from  w w w .j a v a 2  s  . c om
            File input = new File("D:/_piCam/bild.jpg");
            //FileInputStream bi = ImageIO.read(input);
            BufferedImage bi = ImageIO.read(input);

            byte[] data = ((DataBufferByte) bi.getRaster().getDataBuffer()).getData();
            Mat mat = new Mat(bi.getHeight(), bi.getWidth(), CvType.CV_8UC3);
            mat.put(0, 0, data);

            Mat bild = new Mat(bi.getHeight(), bi.getWidth(), CvType.CV_8UC1);
            Imgproc.cvtColor(mat, bild, Imgproc.COLOR_BGR2GRAY);

            byte[] data1 = new byte[bild.rows() * bild.cols() * (int) (bild.elemSize())];
            bild.get(0, 0, data1);
            BufferedImage image1 = new BufferedImage(bild.cols(), bild.rows(), BufferedImage.TYPE_BYTE_GRAY);
            image1.getRaster().setDataElements(0, 0, bild.cols(), bild.rows(), data1);

            File ouptut = new File("D:/xml/grayscale2.jpg");
            //ImageIO.write(image1, "jpg", ouptut);
            BufferedImage gray = image1.getSubimage(0, 0, image1.getTileWidth(), image1.getHeight());
            zwischenBild = SwingFXUtils.toFXImage(gray, null);

        } catch (IOException ex) {
            System.out.println("Fehler beim Bild laden...");
        }
        return zwischenBild;
    }

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From source file:kamerka.Filters.java

public void sharpness(String sourcePath, int a, int b, int g) {
    double alpha = (double) a / 100;
    double beta = (double) b / 100;
    double gamma = (double) g / 100;
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    Mat source = Highgui.imread(sourcePath, Highgui.CV_LOAD_IMAGE_COLOR);
    Mat destination = new Mat(source.rows(), source.cols(), source.type());
    Imgproc.GaussianBlur(source, destination, new Size(0, 0), 10);
    Core.addWeighted(source, alpha, destination, beta, gamma, destination);
    Highgui.imwrite(sourcePath, destination);
}

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From source file:kamerka.Filters.java

public void border(String sourcePath, int s, int borderType) {
    if (borderType == -1) {
        return;//  w w  w . j av  a2 s.c o  m
    }
    if (borderType == 5) {
        borderType = 16;
    }
    double size = (double) s / 100;
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    Mat source = Highgui.imread(sourcePath, Highgui.CV_LOAD_IMAGE_COLOR);
    Mat destination = new Mat(source.rows(), source.cols(), source.type());
    int top, bottom, left, right;
    top = (int) (size * source.rows());
    bottom = (int) (size * source.rows());
    left = (int) (size * source.cols());
    right = (int) (size * source.cols());
    destination = source;
    Imgproc.copyMakeBorder(source, destination, top, bottom, left, right, borderType);
    Highgui.imwrite(sourcePath, destination);
}

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