Example usage for org.opencv.core Mat height

Introduction

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

Prototype

public int height()

Source Link

Usage

From source file:video.PictureView.java

public static BufferedImage mat2Img(Mat in) {
    BufferedImage out;/*  w ww .  j  a v  a 2s .  c  o m*/
    int width = in.cols();
    int height = in.height();
    byte[] data = new byte[width * height * (int) in.elemSize()];
    int type;
    in.get(0, 0, data);

    if (in.channels() == 1) {
        type = BufferedImage.TYPE_BYTE_GRAY;
    } else {
        type = BufferedImage.TYPE_3BYTE_BGR;
    }

    out = new BufferedImage(width, height, type);

    out.getRaster().setDataElements(0, 0, width, height, data);
    return out;
}

From source file:webcamcapture.WebCamCapture.java

/**
 * @param args the command line arguments
 *//*from w w  w .j a  v  a 2  s.  co  m*/
public static void main(String[] args) throws IOException {
    // TODO code application logic here

    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

    httpRequestSend request = new httpRequestSend();
    VideoCapture camera = new VideoCapture(0);
    int x = 0;
    if (!camera.isOpened()) {
        System.out.println("Error");
    } else {
        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());
                Highgui.imwrite("camera" + x + ".jpg", frame);
                //System.out.println("OK");
                // break;

                request.request("https://fireacc.herokuapp.com/dash", "camera" + x + ".jpg");
                x++;
            }
            try {
                //}
                Thread.sleep(5000);
            } catch (InterruptedException ex) {
                System.out.println("stuck");
            }
        }
    }
    camera.release();

}

From source file:webcamfacedetect.FaceDetect.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  .j a v a2  s .c  o  m*/
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;
}

From source file:webcamfacedetect.WebcamFaceDetect.java

/**
 * @param args the command line arguments
 *//*  w ww.j  av  a  2s .  c  o m*/
public static void main(String args[]) {
    // Load the native library.
    Libloader.load();
    String window_name = "Capture - Face detection";
    JFrame frame = new JFrame(window_name);
    frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
    frame.setSize(1024, 800);
    FaceDetect faceDetect = new FaceDetect();
    Processor my_processor = new Processor();
    frame.setContentPane(faceDetect);
    frame.setVisible(true);
    // Read the video stream  
    Mat webcam_image = new Mat();
    VideoCapture capture = null;
    for (int numCam = 0; numCam < 5; numCam++) {
        try {
            capture = new VideoCapture(numCam);
            break;
        } catch (Exception e) {
            System.out.println("Webcam number " + numCam + " unavailable ...");
        }
    }
    if (capture.isOpened()) {
        while (true) {
            capture.read(webcam_image);
            if (!webcam_image.empty()) {
                frame.setSize(webcam_image.width() + 40, webcam_image.height() + 60);
                // Apply the classifier to the captured image  
                webcam_image = my_processor.detect(webcam_image);
                // Display recognized image  
                faceDetect.MatToBufferedImage(webcam_image);
                faceDetect.repaint();
            } else {
                System.out.println("No captured frame. Exit.");
                break;
            }
        }
    }
}