Example usage for org.opencv.core Point Point

List of usage examples for org.opencv.core Point Point

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Introduction

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

Prototype

public Point(double x, double y)

Source Link

Usage

From source file:hu.unideb.fksz.view.TrafficCounterController.java

License:Open Source License

/**
 * Initializes some elements of the user interface.
 *///from ww w.  java 2s .  co  m
private void init() {
    try {
        this.imageView
                .setImage(new Image(Main.class.getClass().getResource("/image/load_video.jpg").toString()));
        TrafficCounterLogger.traceMessage("Initial picture loaded successfully!");
    } catch (Exception e) {
        TrafficCounterLogger.errorMessage("Initial picture failed to load!");
    }

    this.listViewForFileNames.getSelectionModel().setSelectionMode(SelectionMode.SINGLE);

    this.saveImageButton.disableProperty().set(true);
    this.startButton.disableProperty().set(true);

    EventHandler<InputEvent> eventHandler = event -> {

        if (event.getEventType().equals(KeyEvent.KEY_PRESSED)) {
            KeyEvent keyevent = (KeyEvent) event.clone();
            if (keyevent.getCode().equals(KeyCode.ESCAPE)) {
                timer.cancel();
                videoProcessor.getVideoCap().release();
                ((Node) (event.getSource())).getScene().getWindow().hide();
                System.exit(0);
            }
        }
    };

    root.setOnKeyPressed(eventHandler);

    imageView.setOnMousePressed(event -> {

        mousePosition.x = event.getX();
        mousePosition.y = event.getY();

        if (mousePosition.inside(videoProcessor.getImageArea())) {
            videoProcessor.setPreviousControlPointsHeight((int) videoProcessor.getHeightOfAControlPoint());
        }

    });

    imageView.setOnMouseDragged(event -> {

        if (mousePosition.inside(videoProcessor.getImageArea())) {
            Point relativeMousePosition = new Point(mousePosition.x - event.getX(),
                    mousePosition.y - event.getY());
            videoProcessor.setHeightOfTheControlPoints(
                    videoProcessor.getPreviousControlPointsHeight() - relativeMousePosition.y);
        }

        if (videoProcessor.getHeightOfAControlPoint() < 100) {
            videoProcessor.setHeightOfTheControlPoints(100);
        }

        if (videoProcessor.getHeightOfAControlPoint() > videoProcessor.getImageArea().height - 100) {
            videoProcessor.setHeightOfTheControlPoints(videoProcessor.getImageArea().height - 100);
        }

    });
    setTrafficCount(0);
    TrafficCounterLogger.infoMessage("TrafficCounterController initialized!");
    hideControls();
}

From source file:image.utils.Tagger.java

public static void main(String[] args) throws IOException, FileNotFoundException {
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    File result;//ww  w  . j av a  2  s  . c o m
    File image_dir = new File(args[1]);
    File result_dir = new File(args[0]);
    File img_output_dir = new File(args[2]);
    for (String s : result_dir.list()) {
        result = new File(result_dir.getAbsolutePath() + "/" + s);
        BufferedReader br = null;
        String line;
        br = new BufferedReader(new FileReader(result));

        while ((line = br.readLine()) != null) {
            String[] parts = line.split("\t");
            JSONArray a = (JSONArray) JSONValue.parse(parts[1]);
            Mat m = Imgcodecs.imread(parts[0]);
            for (int i = 0; i < a.size(); i++) {
                long x, y, w, h;
                JSONObject o = (JSONObject) a.get(i);
                x = (long) o.get("x");
                y = (long) o.get("y");
                w = (long) o.get("width");
                h = (long) o.get("height");
                System.out.println(String.format("%s %d %d %d %d", parts[0], x, y, w, h));
                Rect r = new Rect((int) x, (int) y, (int) w, (int) h);
                Imgproc.rectangle(m, new Point(r.x, r.y), new Point(r.x + r.width, r.y + r.height),
                        new Scalar(255, 0, 0), 2);
                Imgcodecs.imwrite(img_output_dir + "/"
                        + new String(Base64.getEncoder().encode(parts[0].getBytes())) + ".jpg", m);
            }
        }
    }
}

From source file:imageprocess.FaceDetector.java

public void run() {
    System.out.println("\nRunning DetectFaceDemo");

    // Create a face detector from the cascade file in the resources
    // directory.
    CascadeClassifier faceDetector = new CascadeClassifier("D:\\backup\\lbpcascade_frontalface.xml");
    Mat image = Highgui.imread("D:\\backup\\scarlett-800x600.jpg");

    // Detect faces in the image.
    // MatOfRect is a special container class for Rect.
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);

    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

    // Draw a bounding box around each face.
    for (Rect rect : faceDetections.toArray()) {
        Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                new Scalar(0, 255, 0));
    }/* w ww  . j  ava  2  s . c o m*/

    // Save the visualized detection.
    String filename = "D:\\backup\\faceDetection.png";
    System.out.println(String.format("Writing %s", filename));
    Highgui.imwrite(filename, image);
}

From source file:imageprocess.HistogramProcessor.java

public static Mat getHistogramImage(Mat image) {

    // Compute histogram first
    Mat hist = getGrayHistogram(image);//from  w ww.  j  a  v  a  2  s.com
    // Get min and max bin values

    MinMaxLocResult locPeak = Core.minMaxLoc(hist);
    double maxVal = locPeak.maxVal;
    double minVal = locPeak.minVal;

    // Image on which to display histogram
    Mat histImg = new Mat(image.rows(), image.rows(), CV_8U, new Scalar(255));

    // set highest point at 90% of nbins
    int hpt = (int) (0.9 * 256);

    // Draw vertical line for each bin 
    for (int h = 0; h < 256; h++) {

        double[] f = hist.get(h, 0);
        float binVal = (float) f[0];
        int intensity = (int) (binVal * hpt / maxVal);
        Core.line(histImg, new Point(h, 256.0d), new Point(h, 256.0d - intensity), Scalar.all(0));
    }
    return histImg;
}

From source file:imageprocess.ObjectFinder.java

public static void main(String[] args) {
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    Mat image = Highgui.imread("D:\\backup\\opencv\\baboon1.jpg");
    // Define ROI
    Rect rect = new Rect(110, 260, 35, 40);
    Mat imageROI = new Mat(image, rect);
    Core.rectangle(image, new Point(110, 260), new Point(145, 300), new Scalar(0, 0, 255));

    Imshow origIm = new Imshow("Origin");
    origIm.showImage(image);/*from  w  w w . ja va2s . c o  m*/

    ObjectFinder finder = new ObjectFinder(false, 0.2f);

    // Get the Hue histogram
    int minSat = 65;
    Mat hist = finder.getHueHistogram(imageROI, minSat);
    Mat norm = new Mat();
    Core.normalize(hist, norm, 1, 0, NORM_L2);

    finder.setROIHistogram(norm);

    // Convert to HSV space
    Mat hsv = new Mat();
    Imgproc.cvtColor(image, hsv, CV_BGR2HSV);
    // Split the image
    List<Mat> v = new ArrayList<>();
    Core.split(hsv, v);

    // Eliminate pixels with low saturation
    Imgproc.threshold(v.get(1), v.get(1), minSat, 255, THRESH_BINARY);
    Imshow satIm = new Imshow("Saturation");
    satIm.showImage(v.get(1));
    // Get back-projection of hue histogram
    Mat result = finder.find(hsv, new MatOfInt(0), new MatOfFloat(0.0f, 180.0f));

    Imshow resultHueIm = new Imshow("Result Hue");
    resultHueIm.showImage(result);

    Core.bitwise_and(result, v.get(1), result);
    Imshow resultHueAndIm = new Imshow("Result Hue and raw");
    resultHueAndIm.showImage(result);

    // Second image
    Mat image2 = Highgui.imread("D:\\backup\\opencv\\baboon3.jpg");

    // Display image
    Imshow img2Im = new Imshow("Imgage2");
    img2Im.showImage(image2);

    // Convert to HSV space
    Imgproc.cvtColor(image2, hsv, CV_BGR2HSV);

    // Split the image
    Core.split(hsv, v);

    // Eliminate pixels with low saturation
    Imgproc.threshold(v.get(1), v.get(1), minSat, 255, THRESH_BINARY);
    Imshow satIm2 = new Imshow("Saturation2");
    satIm2.showImage(v.get(1));

    // Get back-projection of hue histogram
    finder.setThreshold(-1.0f);
    result = finder.find(hsv, new MatOfInt(0), new MatOfFloat(0.0f, 180.0f));

    Imshow resultHueIm2 = new Imshow("Result Hue2");
    resultHueIm2.showImage(result);

    Core.bitwise_and(result, v.get(1), result);
    Imshow resultHueAndIm2 = new Imshow("Result Hue and raw2");
    resultHueAndIm2.showImage(result);

    Rect rect2 = new Rect(110, 260, 35, 40);
    Core.rectangle(image2, new Point(110, 260), new Point(145, 300), new Scalar(0, 0, 255));

    TermCriteria criteria = new TermCriteria(TermCriteria.MAX_ITER | TermCriteria.EPS, 100, 0.01);
    int steps = Video.meanShift(result, rect2, criteria);

    Core.rectangle(image2, new Point(rect2.x, rect2.y),
            new Point(rect2.x + rect2.width, rect2.y + rect2.height), new Scalar(0, 255, 0));

    Imshow meanshiftIm = new Imshow("Meanshift result");
    meanshiftIm.showImage(image2);

}

From source file:info.jmfavreau.bifrostcore.imageprocessing.ImageToColor.java

License:Open Source License

private Mat compute_roi(Mat original) {
    Mat roi = new Mat();
    Imgproc.cvtColor(original, roi, Imgproc.COLOR_BGR2GRAY, 0);
    roi.setTo(new Scalar(0, 0, 0));
    int x = original.width();
    int y = original.height();
    int cx = x / 2;
    int cy = y / 2;
    int r = Math.min(cx, cy) * 2 / 3;
    Core.circle(roi, new Point(cx, cy), r, new Scalar(255, 255, 255), -1, 8, 0);
    return roi;//from w  ww.j  ava 2  s .c  om
}

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

License:Open Source License

private static Mat detectFaces(Mat image, CascadeClassifier faceDetector, ImageFrame frame) {
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);
    Rect[] faces = faceDetections.toArray();
    boolean shouldSave = frame.shouldSave();
    String name = frame.getFileName();
    Scalar color = frame.getTextColor();

    for (Rect face : faces) {
        Mat croppedImage = new Mat(image, face);

        if (shouldSave)
            saveImage(croppedImage, name);

        Imgproc.putText(image, "ID: " + identifyFace(croppedImage), face.tl(), Font.BOLD, 1.5, color);
        Imgproc.rectangle(image, face.tl(), face.br(), color);
    }/*from ww  w .  ja va  2  s . c  o  m*/

    int faceCount = faces.length;
    String message = faceCount + (faceCount == 1 ? "face" : "faces") + " detected!";
    Imgproc.putText(image, message, new Point(3, 25), Font.BOLD, 2, color);

    return image;
}

From source file:it.baywaylabs.jumpersumo.FrameDisplayCV.java

License:Open Source License

/**
 * This method find a qr-code in the view cam and execute some control.
 *
 * @throws ChecksumException//from  w w  w .j  a v a  2s .  c  o  m
 * @throws FormatException
 */
private void zxing() throws ChecksumException, FormatException {

    int[] intArray = new int[bitmapOriginal.getWidth() * bitmapOriginal.getHeight()];
    //copy pixel data from the Bitmap into the 'intArray' array
    bitmapOriginal.getPixels(intArray, 0, bitmapOriginal.getWidth(), 0, 0, bitmapOriginal.getWidth(),
            bitmapOriginal.getHeight());

    LuminanceSource source = new RGBLuminanceSource(bitmapOriginal.getWidth(), bitmapOriginal.getHeight(),
            intArray);

    BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));
    Reader reader = new QRCodeMultiReader();

    String sResult = "";
    Double AREA_RIFERIMENTO = 11500.0;

    try {

        Result result = reader.decode(bitmap);
        sResult = result.getText();
        if (result.getBarcodeFormat().compareTo(BarcodeFormat.QR_CODE) == 0) {

            Log.d(TAG, "SI! E' Un QRCode");
            if ("jump".equalsIgnoreCase(sResult) && this.deviceController != null && this.flag_execute_qrcode) {
                deviceController.getFeatureJumpingSumo().sendAnimationsJump(
                        ARCOMMANDS_JUMPINGSUMO_ANIMATIONS_JUMP_TYPE_ENUM.ARCOMMANDS_JUMPINGSUMO_ANIMATIONS_JUMP_TYPE_HIGH);
            }
        }

        ResultPoint[] points = result.getResultPoints();
        Log.d(TAG, "PUNTI: " + points.toString());

        Point a = new Point(points[0].getX(), points[0].getY());
        Point b = new Point(points[2].getX(), points[2].getY());
        Rect rect = new Rect(a, b);

        Log.d(TAG, "Area del rettangolo: " + rect.area());
        if (rect.area() < AREA_RIFERIMENTO)
            Log.w(TAG, "Mi devo avvicinare!");
        else
            Log.w(TAG, "Mi devo allontanare!");

        Imgproc.rectangle(this.imgMAT, new Point(points[0].getX(), points[0].getY()),
                new Point(points[2].getX(), points[2].getY()), new Scalar(0, 255, 0), 3);
        Log.d(TAG, sResult);
        Point center = new Point(0, 0);

        Imgproc.circle(this.imgMAT, center, 10, new Scalar(0, 0, 255), 2);
    } catch (Resources.NotFoundException e) {
        Log.e(TAG, "Code Not Found");
        e.printStackTrace();
    } catch (NotFoundException e) {
        e.printStackTrace();
    }

}

From source file:it.baywaylabs.jumpersumo.MainActivity.java

License:Open Source License

public void zxing(Mat mRgba) throws ChecksumException, FormatException {

    Bitmap bMap = Bitmap.createBitmap(mRgba.width(), mRgba.height(), Bitmap.Config.ARGB_8888);
    Utils.matToBitmap(mRgba, bMap);//from w w w.  j a v  a 2  s  .c  o m
    int[] intArray = new int[bMap.getWidth() * bMap.getHeight()];
    //copy pixel data from the Bitmap into the 'intArray' array
    bMap.getPixels(intArray, 0, bMap.getWidth(), 0, 0, bMap.getWidth(), bMap.getHeight());

    LuminanceSource source = new RGBLuminanceSource(bMap.getWidth(), bMap.getHeight(), intArray);

    BinaryBitmap bitmap = new BinaryBitmap(new HybridBinarizer(source));
    Reader reader = new QRCodeMultiReader();

    String sResult = "";
    Double AREA_RIFERIMENTO = 11500.0;

    try {

        Result result = reader.decode(bitmap);
        sResult = result.getText();
        if (result.getBarcodeFormat().compareTo(BarcodeFormat.QR_CODE) == 0)
            Log.d(TAG, "SI! E' Un QRCode");
        ResultPoint[] points = result.getResultPoints();
        Log.d(TAG, "PUNTI: " + points.toString());
        //for (ResultPoint point : result.getResultPoints()) {
        Point a = new Point(points[0].getX(), points[0].getY());
        Point b = new Point(points[2].getX(), points[2].getY());
        Rect rect = new Rect(a, b);
        Log.d(TAG, "Area del rettangolo: " + rect.area());
        if (rect.area() < AREA_RIFERIMENTO)
            Log.w(TAG, "Mi devo avvicinare!");
        else
            Log.w(TAG, "Mi devo allontanare!");
        Imgproc.rectangle(this.mRgba, new Point(points[0].getX(), points[0].getY()),
                new Point(points[2].getX(), points[2].getY()), new Scalar(0, 255, 0), 3);
        Log.d(TAG, sResult);
        Point center = new Point(0, 0);

        Imgproc.circle(this.mRgba, center, 10, new Scalar(0, 0, 255), 2);
        //if (!"".equals(sResult))
        //Toast.makeText(MainActivity.this, "QRCode Scanned: " + sResult, Toast.LENGTH_LONG).show();
    } catch (Resources.NotFoundException e) {
        Log.e(TAG, "Code Not Found");
        e.printStackTrace();
    } catch (NotFoundException e) {
        e.printStackTrace();
    }

}

From source file:javaapplication1.Ocv.java

/**
 * Find faces in an image.//from   w  w w . j a  v a 2  s.  c  o  m
 *
 * @param filter Path to the xml face finding filter to use
 * @param input Path to the input image file
 * @param output Path to the output image file
 */
public void findFaces(String filter, String input, String output) {
    // load the filter and create a classifier with it
    File f = new File(filter);

    /*
    final CascadeClassifier faceDetector
        = new CascadeClassifier(f.getAbsolutePath());
    */
    CascadeClassifier faceDetector = new CascadeClassifier(this.filter);
    System.out.println("This.filter " + this.filter);

    // load the image and read it into a matrix
    File f2 = new File(input);
    //final Mat image = Highgui.imread(f2.getAbsolutePath());

    /*
    final Mat image = Highgui.imread(getClass().getResource(
        "./AverageMaleFace.jpg").getPath());
    */

    Mat image = Highgui.imread(this.input);
    System.out.println("This.input " + this.input);

    // run a face detector on the image
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);
    // inform about faces detected, and then outline each of them
    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
    // Draw rectangles on the image wherever we found faces
    for (Rect rect : faceDetections.toArray()) {
        Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                new Scalar(0, 255, 0));
    }

    // save the image
    String filename = this.output;
    System.out.println(String.format("Writing %s", filename));
    Highgui.imwrite(filename, image);

}