Example usage for org.opencv.videoio VideoCapture read

Introduction

In this page you can find the example usage for org.opencv.videoio VideoCapture read.

Prototype

public boolean read(Mat image) 

Source Link

Usage

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 {//from  www  .  j  ava2 s .  c om
        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:webcamfacedetect.WebcamFaceDetect.java

/**
 * @param args the command line arguments
 *//*ww w. j  a v  a 2  s  .  co 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;
            }
        }
    }
}

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