Example usage for org.opencv.core Mat rows

Introduction

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

Prototype

public int rows() 

Source Link

Usage

From source file:at.entenbaer.utils.TPAUtils.java

License:Open Source License

/**
 * Saves a OpenCV Mat to a path inside the TexturePoemApp-Folder in the pictures directory
 * @param mat Image that should be saved
 * @param path path where the image should be saved inside the TexturePoemApp-Folder
 *///from   w w  w  .  java 2 s.c  o m
public static void saveMatToBitmap(Mat mat, String path) {
    if (Environment.getExternalStorageState().equals(Environment.MEDIA_MOUNTED)) {
        String galleryPath = Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_PICTURES)
                .toString();
        Log.d("galleryPath", galleryPath);

        Bitmap b = Bitmap.createBitmap(mat.cols(), mat.rows(), Bitmap.Config.ARGB_8888);

        Utils.matToBitmap(mat, b);

        File album = new File(galleryPath + "/TexturePoemApp");

        if (!album.isDirectory()) {
            album.mkdirs();
        }

        File f = new File(galleryPath + "/TexturePoemApp/" + path);
        try {
            FileOutputStream fo = new FileOutputStream(f);

            b.compress(Bitmap.CompressFormat.JPEG, 100, fo);

            fo.flush();
            fo.close();
        } catch (IOException e) {
            Log.e("IOException", "not saved");

            e.printStackTrace();
        }

    } else {
        Log.d("Env", "not mounted");
    }
}

---

From source file:attendance_system_adder.cv.image.java

public BufferedImage Mat2BufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1) {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }//from  w  w w . ja  v  a 2s  .  c o  m
    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;

}

---

From source file:balldetection.Webcam.java

public static Image toBufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1) {
        Mat m2 = new Mat();
        Imgproc.cvtColor(m, m2, Imgproc.COLOR_BGR2RGB);
        type = BufferedImage.TYPE_3BYTE_BGR;
        m = m2;//w  w w.  ja  va  2 s.c  om
    }
    byte[] b = new byte[m.channels() * m.cols() * m.rows()];
    m.get(0, 0, b); // get all the pixels
    BufferedImage image = new BufferedImage(m.cols(), m.rows(), type);
    image.getRaster().setDataElements(0, 0, m.cols(), m.rows(), b);
    return image;
}

---

From source file:bgslibrary.Utils.java

License:Open Source License

static final public BufferedImage toBufferedImage(Mat m) {
    int type = BufferedImage.TYPE_BYTE_GRAY;
    if (m.channels() > 1)
        type = BufferedImage.TYPE_3BYTE_BGR;
    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;
}

---

From source file:bollettini.BullettinCompiler.java

public void show() {
    //resize to show
    Size size = new Size(1100, 335);
    Mat resize = new Mat();
    Imgproc.resize(bullettin, resize, size);

    //create image
    int type = BufferedImage.TYPE_BYTE_GRAY;
    int bufferSize = resize.channels() * resize.cols() * resize.rows();
    byte[] b = new byte[bufferSize];
    resize.get(0, 0, b); // get all the pixels
    BufferedImage image = new BufferedImage(resize.cols(), resize.rows(), type);
    final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
    System.arraycopy(b, 0, targetPixels, 0, b.length);

    ImageIcon icon = new ImageIcon(image);

    //create image and show
    View view = new View();
    view.init(this);
    view.setIcon(icon);//  w ww .  j  av  a 2s .c om
    view.setVisible(true);
    view.setDefaultCloseOperation(JFrame.DISPOSE_ON_CLOSE);
}

---

From source file:by.zuyeu.deyestracker.core.util.CVCoreUtils.java

public static Mat selectSubmatByRect(Rect rect, Mat image) {
    double colScale = 1.0 * image.cols() / image.width();
    int colStart = (int) (1.0 * rect.x * colScale);
    int colEnd = (int) (1.0 * (rect.x + rect.width) * colScale);
    double rowScale = 1.0 * image.rows() / image.height();
    int rowStart = (int) (1.0 * rect.y * rowScale);
    int rowEnd = (int) (1.0 * (rect.y + rect.height) * rowScale);

    return image.submat(rowStart, rowEnd, colStart, colEnd);
}

---

From source file:by.zuyeu.deyestracker.core.util.CVCoreUtils.java

public static void insertSubmatByRect(Mat subImage, Rect rect, Mat origImage) {
    double colScale = 1.0 * origImage.cols() / origImage.width();
    int colStart = (int) (1.0 * rect.x * colScale);
    double rowScale = 1.0 * origImage.rows() / origImage.height();
    int rowStart = (int) (1.0 * rect.y * rowScale);
    for (int x1 = 0, x2 = colStart; x1 < subImage.cols(); x1++, x2++) {
        for (int y1 = 0, y2 = rowStart; y1 < subImage.rows(); y1++, y2++) {
            final double[] subImgData = subImage.get(y1, x1);
            origImage.put(y2, x2, subImgData);
        }/*w  w  w  . j a  va  2s  . c  o  m*/
    }
}

---

From source file:by.zuyeu.deyestracker.core.video.sampler.FaceInfoSampler.java

private Mat selectEyesRegionFromFace(final Mat faceImage) {
    return faceImage.submat(0, faceImage.rows() / 2, 0, faceImage.cols());
}

---

From source file:ch.hslu.pren.t37.camera.BildAuswertungKorb.java

public int bildAuswerten() {

    //Bild in dem gesucht werden soll
    String inFile = "../camera.jpg";
    //das Bild dass im infile gesucht wird
    String templateFile = "../Bilder/korb.jpg";
    //Lsung wird in diesem Bild prsentiert
    String outFile = "../LoesungsBild.jpg";
    //berprfungswert wird gesetzt
    int match_method = Imgproc.TM_CCOEFF_NORMED;

    //das original Bild und das zu suchende werden geladen
    Mat img = Highgui.imread(inFile, Highgui.CV_LOAD_IMAGE_COLOR);
    Mat templ = Highgui.imread(templateFile, Highgui.CV_LOAD_IMAGE_COLOR);

    // Lsungsmatrix generieren
    int result_cols = img.cols() - templ.cols() + 1;
    int result_rows = img.rows() - templ.rows() + 1;
    Mat result = new Mat(result_rows, result_cols, CvType.CV_32FC1);

    // Suchen und normalisieren
    Imgproc.matchTemplate(img, templ, result, match_method);
    Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());

    // Mit MinMax Logik wird der beste "Match" gesucht
    Core.MinMaxLocResult mmr = Core.minMaxLoc(result);

    Point matchLoc;//  w w  w.  ja  v  a  2 s  . co  m
    if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
        matchLoc = mmr.minLoc;
    } else {
        matchLoc = mmr.maxLoc;
    }

    // Darstellen
    Core.rectangle(img, matchLoc, new Point(matchLoc.x + templ.cols(), matchLoc.y + templ.rows()),
            new Scalar(0, 255, 0), 10);

    // Alle 4 Eckpunkte speichern
    Point topLeft = new Point(matchLoc.x, matchLoc.y);
    Point topRight = new Point(matchLoc.x + templ.cols(), matchLoc.y);
    Point downLeft = new Point(matchLoc.x, matchLoc.y + templ.rows());
    Point downRight = new Point(matchLoc.x + templ.cols(), matchLoc.y + templ.rows());

    // Lsungsbild speichern
    Highgui.imwrite(outFile, img);

    //Mittelpunkt berechnen
    double mittePicture;
    double mitteKorb;
    double differnez;

    Mat sol = Highgui.imread(outFile, Highgui.CV_LOAD_IMAGE_COLOR);

    mittePicture = sol.width() / 2;
    mitteKorb = (topRight.x - topLeft.x) / 2;
    mitteKorb = topLeft.x + mitteKorb;
    differnez = mitteKorb - mittePicture;

    logger.log(PrenLogger.LogLevel.DEBUG, "Mitte Korb: " + mitteKorb);
    logger.log(PrenLogger.LogLevel.DEBUG, "Mitte Bild: " + mittePicture);
    logger.log(PrenLogger.LogLevel.DEBUG,
            "Differenz: " + differnez + "\nWenn Differnez negativ, nach rechts drehen");

    return (int) differnez;
}

---

From source file:ch.zhaw.facerecognitionlibrary.Helpers.FaceDetection.java

License:Open Source License

public Rect[] getFaces(Mat img) {
    MatOfRect faces = new MatOfRect();
    List<Rect> facesList = null;
    float mRelativeFaceSize = 0.2f;
    int mAbsoluteFaceSize = 0;
    if (faceDetector != null) {
        // If no face detected --> rotate the picture 90 and try again
        angle = 0;//from  w  w w.  j  av a2s. c  om
        for (int i = 1; i <= 4; i++) {
            int height = img.rows();
            if (Math.round(height * mRelativeFaceSize) > 0) {
                mAbsoluteFaceSize = Math.round(height * mRelativeFaceSize);
            }
            faceDetector.detectMultiScale(img, faces, 1.1, 2, 2, new Size(mAbsoluteFaceSize, mAbsoluteFaceSize),
                    new Size());
            // Rotate by 90
            if (faces.empty()) {
                angle = 90 * i;
                MatOperation.rotate_90n(img, 90);
            } else {
                facesList = faces.toList();
                // Check that each found face rectangle fits in the image, if not, remove it
                for (Rect face : facesList) {
                    if (!(0 <= face.x && 0 <= face.width && face.x + face.width <= img.cols() && 0 <= face.y
                            && 0 <= face.height && face.y + face.height <= img.rows())) {
                        facesList.remove(face);
                    }
                }
                if (!(facesList.size() > 0)) {
                    return null;
                }
                // Faces found with the current image rotation
                this.img = img;
                break;
            }
        }

    } else {
        Log.e(TAG, "Detection method is not selected!");
    }
    if (facesList != null) {
        return (Rect[]) facesList.toArray();
    } else {
        return null;
    }
}

---

• «
• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10
• 11
• 12
• 13
• 14
• 15
• 16
• 17
• 18
• 19
• 20
• 21
• 22
• 23
• 24
• 25
• 26
• 27
• 28
• 29
• 30
• 31
• 32
• 33
• »