Example usage for org.opencv.core Point Point

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

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:bollettini.BullettinCompiler.java

private void writeELetter(String ELetter) {
    Point L1 = new Point(80, 160);
    Point L2 = new Point(555, 160);
    Point L3 = new Point(1240, 112);
    Core.putText(bullettin, ELetter, L1, Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
    Core.putText(bullettin, ELetter, L2, Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
    Core.putText(bullettin, ELetter, L3, Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
}

From source file:bollettini.BullettinCompiler.java

private void writeReciever(String reciever) {
    //massimo 24 caratteri
    String temp = "";
    int offset = 26;
    if (reciever.length() > offset) {
        temp = reciever.substring(0, offset);
    } else {//from   ww w .j ava2 s . c o m
        temp = reciever;
    }
    Core.putText(bullettin, temp, new Point(93, 188), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
    Core.putText(bullettin, temp, new Point(567, 188), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));

    Point R = new Point(1000, 159);
    for (int i = 0; i < 68 && i < reciever.length(); i++) {
        Core.putText(bullettin, String.valueOf(reciever.charAt(i)), R, Core.FONT_HERSHEY_COMPLEX, 0.8,
                new Scalar(0, 0, 0));
        R.x += 25.3;
        if (i == 33)
            R.set(new double[] { 1000, 190 });
    }
}

From source file:bollettini.BullettinCompiler.java

private void writeCausal(String purpose) {
    Core.putText(bullettin, purpose, new Point(17, 237), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
    Core.putText(bullettin, purpose, new Point(490, 237), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
    Core.putText(bullettin, purpose, new Point(996, 237), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
}

From source file:bollettini.BullettinCompiler.java

private void writePerformer(String performer) {
    String temp = "";
    int offset = 24;
    if (performer.length() > offset) {
        temp = performer.substring(0, offset);
    } else {//from  w w w.j a v a 2  s . c  o m
        temp = performer;
    }
    Core.putText(bullettin, temp, new Point(95, 500), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
    Core.putText(bullettin, temp, new Point(569, 500), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));

    Point A = new Point(1278, 317);
    for (int i = 0; i < 46 && i < performer.length(); i++) {
        Core.putText(bullettin, String.valueOf(performer.charAt(i)), A, Core.FONT_HERSHEY_COMPLEX, 0.8,
                new Scalar(0, 0, 0));
        A.x += 25;
        if (i == 22)
            A.set(new double[] { 1278, 348 });
    }
}

From source file:bollettini.BullettinCompiler.java

private void writeAddress(String address) {
    String temp = "";
    int offset = 24;
    if (address.length() > offset) {
        temp = address.substring(0, offset);
    } else {/*  w w  w  .  ja  v  a  2  s. c  o  m*/
        temp = address;
    }
    Core.putText(bullettin, temp, new Point(95, 529), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
    Core.putText(bullettin, temp, new Point(569, 529), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));

    Point A = new Point(1278, 395);
    for (int i = 0; i < 46 && i < address.length(); i++) {
        Core.putText(bullettin, String.valueOf(address.charAt(i)), A, Core.FONT_HERSHEY_COMPLEX, 0.8,
                new Scalar(0, 0, 0));
        A.x += 25;
    }
}

From source file:bollettini.BullettinCompiler.java

private void writeCap(String cap) {
    String temp = "";
    int offset = 5;
    if (cap.length() > offset) {
        temp = cap.substring(0, offset);
    } else {//w  w w.j av  a2 s  .  c  o m
        temp = cap;
    }
    Core.putText(bullettin, temp, new Point(43, 557), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
    Core.putText(bullettin, temp, new Point(516, 557), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));

    Point A = new Point(1278, 442);
    for (int i = 0; i < 5 && i < cap.length(); i++) {
        Core.putText(bullettin, String.valueOf(cap.charAt(i)), A, Core.FONT_HERSHEY_COMPLEX, 0.8,
                new Scalar(0, 0, 0));
        A.x += 25;
    }
}

From source file:bollettini.BullettinCompiler.java

private void writeLocality(String locality) {
    String temp = "";
    int offset = 17;
    if (locality.length() > offset) {
        temp = locality.substring(0, offset);
    } else {//from w  w w.j  av a2s .c o  m
        temp = locality;
    }
    Core.putText(bullettin, temp, new Point(205, 557), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));
    Core.putText(bullettin, temp, new Point(678, 557), Core.FONT_HERSHEY_COMPLEX, 0.8, new Scalar(0, 0, 0));

    Point A = new Point(1430, 442);
    for (int i = 0; i < 17 && i < locality.length(); i++) {
        Core.putText(bullettin, String.valueOf(locality.charAt(i)), A, Core.FONT_HERSHEY_COMPLEX, 0.8,
                new Scalar(0, 0, 0));
        A.x += 25;
    }
}

From source file:br.cefetmg.lsi.opencv.multipleObjectTracking.processing.MultipleObjectTracking.java

License:Open Source License

private void trackFilteredObject(Ball theBall, Mat threshold, Mat cameraFeed) {
    List<Ball> balls = new ArrayList<Ball>();

    Mat temp = new Mat();
    threshold.copyTo(temp);//from w  w w  .  j av a 2 s .  c  o m

    // The two variables below are the return of "findContours" processing.
    List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
    Mat hierarchy = new Mat();

    // find contours of filtered image using openCV findContours function      
    Imgproc.findContours(temp, contours, hierarchy, Imgproc.RETR_CCOMP, Imgproc.CHAIN_APPROX_SIMPLE);

    // use moments method to find our filtered object
    boolean objectFound = false;

    if (contours.size() > 0) {
        int numObjects = contours.size();

        //if number of objects greater than MAX_NUM_OBJECTS we have a noisy filter
        if (numObjects < MAX_NUM_OBJECTS) {

            for (int i = 0; i < contours.size(); i++) {
                Moments moment = Imgproc.moments(contours.get(i));
                double area = moment.get_m00();

                //if the area is less than 20 px by 20px then it is probably just noise
                //if the area is the same as the 3/2 of the image size, probably just a bad filter
                //we only want the object with the largest area so we safe a reference area each
                //iteration and compare it to the area in the next iteration.
                if (area > MIN_OBJECT_AREA) {
                    Ball ball = new Ball();
                    ball.setXPos((int) (moment.get_m10() / area));
                    ball.setYPos((int) (moment.get_m01() / area));

                    if (theBall != null) {
                        ball.setType(theBall.getType());
                        ball.setColour(theBall.getColour());
                    }

                    balls.add(ball);

                    objectFound = true;
                } else {
                    objectFound = false;
                }

            }

            //let user know you found an object
            if (objectFound) {
                //draw object location on screen
                drawObject(balls, cameraFeed);
            }

        } else {
            Core.putText(cameraFeed, "TOO MUCH NOISE! ADJUST FILTER", new Point(0, 50), 1, 2,
                    new Scalar(0, 0, 255), 2);
        }

    }

}

From source file:br.cefetmg.lsi.opencv.multipleObjectTracking.processing.MultipleObjectTracking.java

License:Open Source License

private void drawObject(List<Ball> theBalls, Mat frame) {

    for (int i = 0; i < theBalls.size(); i++) {
        Ball theBall = theBalls.get(i);/*w w w .  j  av  a  2  s . c  o m*/

        Core.circle(frame, new Point(theBall.getXPos(), theBall.getYPos()), 10, new Scalar(0, 0, 255));
        Core.putText(frame, theBall.getXPos() + " , " + theBall.getYPos(),
                new Point(theBall.getXPos(), theBall.getYPos() + 20), 1, 1, new Scalar(0, 255, 0));
        Core.putText(frame, theBall.getType().toString(), new Point(theBall.getXPos(), theBall.getYPos() - 30),
                1, 2, theBall.getColour());
    }

}

From source file:br.com.prj.TelaPrincipal.java

private void btnProcurarActionPerformed(java.awt.event.ActionEvent evt) {//GEN-FIRST:event_btnProcurarActionPerformed

    // remove todos os labels do componente
    jPanel1.removeAll();//from ww w. ja  v a 2s . c o  m

    // reposicionao o primeiro label
    boundX = 12;
    boundY = 22;

    CascadeClassifier faceDetector = new CascadeClassifier(URL_LIB_FACE);

    imagemCarregada = Imgcodecs.imread(selectedFile.getAbsolutePath(), Imgcodecs.CV_LOAD_IMAGE_COLOR);
    // imagem com retangulo dos rostos encontrados
    imagemDest = new Mat(imagemCarregada.rows(), imagemCarregada.cols(), imagemCarregada.type());
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(imagemCarregada, faceDetections);

    // tentar verificar se o rect encontrado possui olhos
    Rect[] faceEncontrada = new Rect[faceDetections.toArray().length];
    int i = 0;
    for (Rect rect : faceDetections.toArray()) {

        faceEncontrada[i] = new Rect(new Point(rect.x - PAD_LATERAL + 5, rect.y - PAD_SUPERIOR + 5),
                new Point(rect.x + rect.width + PAD_LATERAL, (rect.y + rect.height + PAD_SUPERIOR) - 5));

        adicionarLabel(convertMatToImage(new Mat(imagemCarregada, faceEncontrada[i])), faceEncontrada[i]);

        //            ADICIONA RETANGULO DO ROSTO NA IMAGEM  
        //            Imgproc.rectangle(imagemDest,
        //                    new Point(rect.x - PAD_LATERAL, rect.y - PAD_SUPERIOR),
        //                    new Point(rect.x + rect.width + PAD_LATERAL, (rect.y + rect.height + PAD_SUPERIOR) - 5),
        //                    new Scalar(0, 255, 0));
        i++;
    }

    if (faceDetections.toArray().length == 0) {
        totalRostos.setText("No foi possvel identificar nenhum rosto na imagem selecionada.");
    } else {
        totalRostos
                .setText("Identificamos " + faceDetections.toArray().length + " rosto(s) na imagem carregada.");
    }

}