Example usage for org.opencv.core MatOfFloat toArray

Introduction

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

Prototype

public float[] toArray()

Source Link

Usage

From source file:ch.zhaw.facerecognitionlibrary.Helpers.FaceDetection.java

License:Open Source License

public Eyes getEyes(Mat img) {
    double halfWidth = img.cols() / 2;
    double height = img.rows();
    double[] values = new double[4];
    values[0] = 0;/*  w w w.  j a  va  2s .co  m*/
    values[1] = 0;
    values[2] = halfWidth;
    values[3] = height;
    Rect rightHalf = new Rect(values);
    values[0] = halfWidth;
    Rect leftHalf = new Rect(values);
    MatOfRect rightEyes = new MatOfRect();
    MatOfRect leftEyes = new MatOfRect();

    Mat rightHalfImg = img.submat(rightHalf);
    rightEyeDetector.detectMultiScale(rightHalfImg, rightEyes);
    Mat leftHalfImg = img.submat(leftHalf);
    leftEyeDetector.detectMultiScale(leftHalfImg, leftEyes);

    if (rightEyes.empty() || leftEyes.empty() || rightEyes.toArray().length > 1
            || leftEyes.toArray().length > 1) {
        return null;
    }

    Rect rightEye = rightEyes.toArray()[0];
    Rect leftEye = leftEyes.toArray()[0];

    MatOfFloat rightPoint = new MatOfFloat(rightEye.x + rightEye.width / 2, rightEye.y + rightEye.height / 2);
    MatOfFloat leftPoint = new MatOfFloat(img.cols() / 2 + leftEye.x + leftEye.width / 2,
            leftEye.y + leftEye.height / 2);

    MatOfFloat diff = new MatOfFloat();
    Core.subtract(leftPoint, rightPoint, diff);
    double angle = Core.fastAtan2(diff.toArray()[1], diff.toArray()[0]);
    double dist = Core.norm(leftPoint, rightPoint, Core.NORM_L2);
    Eyes eyes = new Eyes(dist, rightPoint, leftPoint, angle);
    return eyes;
}

From source file:com.trandi.opentld.tld.LKTracker.java

License:Apache License

/**
 * @return Pair of new, FILTERED, last and current POINTS, or null if it hasn't managed to track anything.
 */// ww  w.j  a  v a  2 s.com
Pair<Point[], Point[]> track(final Mat lastImg, final Mat currentImg, Point[] lastPoints) {
    final int size = lastPoints.length;
    final MatOfPoint2f currentPointsMat = new MatOfPoint2f();
    final MatOfPoint2f pointsFBMat = new MatOfPoint2f();
    final MatOfByte statusMat = new MatOfByte();
    final MatOfFloat errSimilarityMat = new MatOfFloat();
    final MatOfByte statusFBMat = new MatOfByte();
    final MatOfFloat errSimilarityFBMat = new MatOfFloat();

    //Forward-Backward tracking
    Video.calcOpticalFlowPyrLK(lastImg, currentImg, new MatOfPoint2f(lastPoints), currentPointsMat, statusMat,
            errSimilarityMat, WINDOW_SIZE, MAX_LEVEL, termCriteria, 0, LAMBDA);
    Video.calcOpticalFlowPyrLK(currentImg, lastImg, currentPointsMat, pointsFBMat, statusFBMat,
            errSimilarityFBMat, WINDOW_SIZE, MAX_LEVEL, termCriteria, 0, LAMBDA);

    final byte[] status = statusMat.toArray();
    float[] errSimilarity = new float[lastPoints.length];
    //final byte[] statusFB = statusFBMat.toArray();
    final float[] errSimilarityFB = errSimilarityFBMat.toArray();

    // compute the real FB error (relative to LAST points not the current ones...
    final Point[] pointsFB = pointsFBMat.toArray();
    for (int i = 0; i < size; i++) {
        errSimilarityFB[i] = Util.norm(pointsFB[i], lastPoints[i]);
    }

    final Point[] currPoints = currentPointsMat.toArray();
    // compute real similarity error
    errSimilarity = normCrossCorrelation(lastImg, currentImg, lastPoints, currPoints, status);

    //TODO  errSimilarityFB has problem != from C++
    // filter out points with fwd-back error > the median AND points with similarity error > median
    return filterPts(lastPoints, currPoints, errSimilarity, errSimilarityFB, status);
}

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

License:Apache License

/**
 * @return Pair of new, FILTERED, last and current POINTS, or null if it hasn't managed to track anything.
 *///from   w  ww .  j  a v a  2  s . c  o  m
public Pair<Point[], Point[]> track(final Mat lastImg, final Mat currentImg, Point[] lastPoints) {
    final int size = lastPoints.length;
    final MatOfPoint2f currentPointsMat = new MatOfPoint2f();
    final MatOfPoint2f pointsFBMat = new MatOfPoint2f();
    final MatOfByte statusMat = new MatOfByte();
    final MatOfFloat errSimilarityMat = new MatOfFloat();
    final MatOfByte statusFBMat = new MatOfByte();
    final MatOfFloat errSimilarityFBMat = new MatOfFloat();

    //Forward-Backward tracking
    Video.calcOpticalFlowPyrLK(lastImg, currentImg, new MatOfPoint2f(lastPoints), currentPointsMat, statusMat,
            errSimilarityMat, WINDOW_SIZE, MAX_LEVEL, termCriteria, 0, LAMBDA);
    Video.calcOpticalFlowPyrLK(currentImg, lastImg, currentPointsMat, pointsFBMat, statusFBMat,
            errSimilarityFBMat, WINDOW_SIZE, MAX_LEVEL, termCriteria, 0, LAMBDA);

    final byte[] status = statusMat.toArray();
    float[] errSimilarity = new float[lastPoints.length];
    //final byte[] statusFB = statusFBMat.toArray();
    final float[] errSimilarityFB = errSimilarityFBMat.toArray();

    // compute the real FB error (relative to LAST points not the current ones...
    final Point[] pointsFB = pointsFBMat.toArray();
    for (int i = 0; i < size; i++) {
        errSimilarityFB[i] = TLDUtil.norm(pointsFB[i], lastPoints[i]);
    }

    final Point[] currPoints = currentPointsMat.toArray();
    // compute real similarity error
    errSimilarity = normCrossCorrelation(lastImg, currentImg, lastPoints, currPoints, status);

    //TODO  errSimilarityFB has problem != from C++
    // filter out points with fwd-back error > the median AND points with similarity error > median
    return filterPts(lastPoints, currPoints, errSimilarity, errSimilarityFB, status);
}