Example usage for org.opencv.core Mat width

Introduction

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

Prototype

public int width() 

Source Link

Usage

From source file:org.usfirst.frc.team2084.CMonster2016.vision.ImageConvertor.java

License:Open Source License

public BufferedImage toBufferedImage(Mat image) {
    int width = image.width();
    int height = image.height();
    int type = image.type();
    // Get BufferedImage type
    int javaType = toJavaImageType(type);
    // If the Mat does not match the BufferedImage, create a new one.
    if (javaImage == null || width != javaImage.getWidth() || height != javaImage.getHeight()
            || javaType != javaImage.getType()) {
        javaImage = new BufferedImage(width, height, javaType);
    }//ww w  .j a  va 2s.co  m
    // Copy Mat data to BufferedImage
    image.get(0, 0, ((DataBufferByte) javaImage.getRaster().getDataBuffer()).getData());
    return javaImage;
}

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From source file:org.usfirst.frc2084.CMonster2016.vision.ImageFrame.java

License:Open Source License

/**
 * Shows the specified image in the frame. The frame resizes to fit the
 * image.//from w  w  w .j a  v a2  s .c o  m
 * 
 * @param image the image to show
 */
public void showImage(Mat image) {
    // Get the properties of the Mat
    int width = image.width();
    int height = image.height();
    synchronized (this) {
        // Copy Mat data to BufferedImage
        javaImage = convertor.toBufferedImage(image);
    }
    setSize(width, height);
    repaint();
}

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From source file:Recognizer.Recognizer.java

public Image TemplateMatching(Image imQuery, Image imDB, int match_method) {
    System.out.println("Running Template Matching ...");

    //Mat img = Highgui.imread(inFile); // Image in which area has to be searched
    //Mat template_img = Highgui.imread(templateFile); // Search Image

    Mat matQuery = imQuery.Image3CtoMat_CV();
    Mat matDB = imDB.Image3CtoMat_CV();

    Mat hsvQ = new Mat(), hsvDB = new Mat();

    Imgproc.cvtColor(matQuery, hsvQ, COLOR_RGB2HSV);
    Imgproc.cvtColor(matDB, hsvDB, COLOR_RGB2HSV);

    // Create result image matrix
    int resultImg_cols = matDB.cols() - matQuery.cols() + 1;
    int resultImg_rows = matDB.rows() - matQuery.rows() + 1;

    Mat matRes = new Mat(resultImg_rows, resultImg_cols, CvType.CV_32FC1);

    // Template Matching with Normalization
    Imgproc.matchTemplate(hsvDB, hsvQ, matRes, match_method);
    Core.normalize(matRes, matRes, 0, 1, Core.NORM_MINMAX, -1, new Mat());

    // / Localizing the best match with minMaxLoc
    Core.MinMaxLocResult Location_Result = Core.minMaxLoc(matRes);
    Point matchLocation;/*from  ww  w  .  j  av  a  2  s .  c  o  m*/

    if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
        matchLocation = Location_Result.minLoc;
    } else {
        matchLocation = Location_Result.maxLoc;
    }

    // Display Area by Rectangle
    Core.rectangle(matDB, matchLocation,
            new Point(matchLocation.x + matQuery.cols(), matchLocation.y + matQuery.rows()),
            new Scalar(0, 255, 0));

    Image imOut = new Image(matDB.width(), matDB.height());
    //Image imOut = new Image(matQuery.cols(), matQuery.rows());

    //Mat m = new Mat(matDB);

    //m =//matDB.submat((int)matchLocation.y, (int)matchLocation.y + matQuery.rows(),(int)matchLocation.x, (int)matchLocation.x + matQuery.cols());

    imOut.Mat_CVtoImage3C(matDB);

    System.out.println("Location: " + Location_Result.minLoc.x + " " + Location_Result.minLoc.y + "   "
            + Location_Result.maxLoc.x + " " + Location_Result.maxLoc.y);

    return imOut;
}

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From source file:servershootingstar.BallDetector.java

public static void initSwing(Mat mat) {

    guiFrame = new JFrame("window");
    guiFrame.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE);
    // image size is 640x480
    guiFrame.setSize(mat.width() + 20, mat.height() + 40);
    guiFrame.setLayout(new FlowLayout());

    guiLabel = new JLabel();
    guiFrame.add(guiLabel);/*from  w ww.  j  ava 2 s  .c  o  m*/
    guiFrame.setVisible(true);
    updateSwing(mat);
}

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From source file:spring2017ip.ConvolutionDemo.java

public Mat combineGxGy(Mat gx, Mat gy) {
    Mat outputImage = new Mat(gx.rows(), gx.cols(), gx.type());
    for (int r = 0; r < gx.height(); r++)
        for (int c = 0; c < gx.width(); c++) {
            double x[] = gx.get(r, c);
            double y[] = gy.get(r, c);
            double m = Math.sqrt(x[0] * x[0] + y[0] * y[0]);
            outputImage.put(r, c, m);//from w  w w .  ja v a 2  s  .c  om
        }
    return outputImage;
}

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From source file:spycam.Spycam.java

public static void main(String args[]) {
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    VideoCapture camera = new VideoCapture(0);

    if (!camera.isOpened()) {
        System.out.println("Error");
    } else {//ww w. j  a v a2  s  .c  o  m
        Mat frame = new Mat();
        while (true) {
            if (camera.read(frame)) {
                System.out.println("Frame Obtained");
                System.out.println("Captured Frame Width " + frame.width() + " Height " + frame.height());
                Imgcodecs.imwrite("camera.jpg", frame);
                System.out.println("OK");
                break;
            }
        }
    }
    camera.release();
}

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From source file:src.main.java.org.roomwatcher.watcher.Watcher.java

/**  
* Converts/writes a Mat into a BufferedImage.  
*   //  w  w  w.  j  a v a 2 s . c  o m
* @param matrix Mat of type CV_8UC3 or CV_8UC1  
* @return BufferedImage of type TYPE_3BYTE_BGR or TYPE_BYTE_GRAY  
*/
public boolean MatToBufferedImage(Mat matBGR) {
    long startTime = System.nanoTime();
    int width = matBGR.width(), height = matBGR.height(), channels = matBGR.channels();
    byte[] sourcePixels = new byte[width * height * channels];
    matBGR.get(0, 0, sourcePixels);

    // create new image and get reference to backing data  
    image = new BufferedImage(width, height, BufferedImage.TYPE_3BYTE_BGR);
    final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
    System.arraycopy(sourcePixels, 0, targetPixels, 0, sourcePixels.length);
    long endTime = System.nanoTime();

    //System.out.println(String.format("Elapsed time: %.2f ms", (float)(endTime - startTime)/1000000));  
    return true;
}

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From source file:src.main.java.org.roomwatcher.watcher.Window.java

public static void main(String arg[]) throws InterruptedException {
    // Load the native library.  
    System.loadLibrary("opencv_java2410");
    frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);

    frame.setSize(400, 400);/*from   w  ww.j  a va 2  s  .com*/
    frame.setLocationRelativeTo(null);

    Processor processor = new Processor();
    Watcher watcher = new Watcher();

    watcher.add(peopleNumberLabel);
    frame.setContentPane(watcher);

    frame.setVisible(true);

    //-- 2. Read the video stream  
    Mat webcam_image = new Mat();
    VideoCapture capture = new VideoCapture(0);

    if (capture.isOpened()) {
        while (true) {
            capture.read(webcam_image);
            if (!webcam_image.empty()) {
                frame.setSize(webcam_image.width() + 40, webcam_image.height() + 160);
                //-- 3. Apply the classifier to the captured image  
                webcam_image = processor.detect(webcam_image);
                //-- 4. Display the image  
                watcher.MatToBufferedImage(webcam_image); // We could look at the error...  
                watcher.repaint();
            }
        }
    }
}

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From source file:syncleus.dann.data.video.TLDView.java

License:Apache License

@Override
public Mat onCameraFrame(Mat originalFrame) {
    try {//from   w w w . j  av a 2s  . c o  m
        // Image is too big and this requires too much CPU for a phone, so scale everything down...
        Imgproc.resize(originalFrame, _workingFrame, WORKING_FRAME_SIZE);
        final Size workingRatio = new Size(originalFrame.width() / WORKING_FRAME_SIZE.width,
                originalFrame.height() / WORKING_FRAME_SIZE.height);
        // usefull to see what we're actually working with...
        _workingFrame.copyTo(originalFrame.submat(originalFrame.rows() - _workingFrame.rows(),
                originalFrame.rows(), 0, _workingFrame.cols()));

        if (_trackedBox != null) {
            if (_tld == null) { // run the 1st time only
                Imgproc.cvtColor(_workingFrame, _lastGray, Imgproc.COLOR_RGB2GRAY);
                _tld = new Tld(_tldProperties);
                final Rect scaledDownTrackedBox = scaleDown(_trackedBox, workingRatio);
                System.out.println("Working Ration: " + workingRatio + " / Tracking Box: " + _trackedBox
                        + " / Scaled down to: " + scaledDownTrackedBox);
                try {
                    _tld.init(_lastGray, scaledDownTrackedBox);
                } catch (Exception eInit) {
                    // start from scratch, you have to select an init box again !
                    _trackedBox = null;
                    _tld = null;
                    throw eInit; // re-throw it as it will be dealt with later
                }
            } else {
                Imgproc.cvtColor(_workingFrame, _currentGray, Imgproc.COLOR_RGB2GRAY);

                _processFrameStruct = _tld.processFrame(_lastGray, _currentGray);
                drawPoints(originalFrame, _processFrameStruct.lastPoints, workingRatio, new Scalar(255, 0, 0));
                drawPoints(originalFrame, _processFrameStruct.currentPoints, workingRatio,
                        new Scalar(0, 255, 0));
                drawBox(originalFrame, scaleUp(_processFrameStruct.currentBBox, workingRatio),
                        new Scalar(0, 0, 255));

                _currentGray.copyTo(_lastGray);

                // overlay the current positive examples on the real image(needs converting at the same time !)
                //copyTo(_tld.getPPatterns(), originalFrame);
            }
        }
    } catch (Exception e) {
        _errMessage = e.getClass().getSimpleName() + " / " + e.getMessage();
        Log.e(TLDUtil.TAG, "TLDView PROBLEM", e);
    }

    if (_errMessage != null) {
        Core.putText(originalFrame, _errMessage, new Point(0, 300), Core.FONT_HERSHEY_PLAIN, 1.3d,
                new Scalar(255, 0, 0), 2);
    }

    return originalFrame;
}

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From source file:topcodes.Scanner.java

License:Open Source License

/**
* Scan the image and return a list of all topcodes found in it
*///from  ww w .java 2s . c  om
public List<TopCode> scan(Mat mat) throws IOException {
    int width = mat.width(), height = mat.height(), channels = mat.channels();
    byte[] sourcePixels = new byte[width * height * channels];
    mat.get(0, 0, sourcePixels);

    // create new BufferedImage and
    image = new BufferedImage(width, height, BufferedImage.TYPE_3BYTE_BGR);

    // Get reference to backing data
    final byte[] targetPixels = ((DataBufferByte) image.getRaster().getDataBuffer()).getData();
    System.arraycopy(sourcePixels, 0, targetPixels, 0, sourcePixels.length);

    return scan(image);
}

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