Examples with DMatch org.opencv.core.DMatch used on opensource projects

Example 1 with DMatch

use of org.opencv.core.DMatch in project PhotonCamera by eszdman.

the class AlignAndMergeCV method findFrameHomography.

Mat findFrameHomography(Mat need, Mat from) {
    Mat descriptors2 = new Mat();
    MatOfKeyPoint keyPoints2 = new MatOfKeyPoint();
    if (keypointsRef == null) {
        akaze.detectAndCompute(need, new Mat(), keyPoints1, descriptors1);
        descriptors1.convertTo(descriptors1, CvType.CV_8UC1);
    }
    akaze.detectAndCompute(from, new Mat(), keyPoints2, descriptors2);
    descriptors2.convertTo(descriptors2, CvType.CV_8UC1);
    MatOfDMatch matches = new MatOfDMatch();
    Log.d("AlignAndMergeCV", "src1:" + descriptors1.type() + ":" + descriptors1.cols() + ":" + descriptors1.rows());
    Log.d("AlignAndMergeCV", "src2:" + descriptors2.type() + ":" + descriptors2.cols() + ":" + descriptors2.rows());
    keypointsRef = keyPoints1.toList();
    Log.d("AlignAndMergeCV", "keyp size:" + keyPoints1.size());
    if (keypointsRef.size() < 10) {
        return OneMatrix();
    }
    Log.d(Name, "Descr:" + descriptors1.toString());
    matcher.match(descriptors1, descriptors2, matches, new Mat());
    MatOfPoint2f points1 = new MatOfPoint2f(), points2 = new MatOfPoint2f();
    DMatch[] arr = matches.toArray();
    List<KeyPoint> keypoints2 = keyPoints2.toList();
    if (PhotonCamera.getSettings().DebugData) {
        Mat imMatches = new Mat();
        Mat keyPoints = new Mat();
        drawMatches(need, keyPoints1, from, keyPoints2, matches, imMatches);
        drawKeypoints(need, keyPoints1, keyPoints);
        Imgcodecs.imwrite(jpgFilePathToSave.toString().replace(".jpg", "cvin.jpg"), imMatches);
        Imgcodecs.imwrite(jpgFilePathToSave.toString().replace(".jpg", "kp.jpg"), keyPoints);
        imMatches.release();
        keyPoints.release();
    }
    ArrayList<Point> keypoints1f = new ArrayList<>();
    ArrayList<Point> keypoints2f = new ArrayList<>();
    int step = arr.length / 3500 + 1;
    for (int i = 0; i < arr.length; i += step) {
        DMatch dMatch = arr[i];
        Point on1 = keypointsRef.get(dMatch.queryIdx).pt;
        Point on2 = keypoints2.get(dMatch.trainIdx).pt;
        keypoints1f.add(on1);
        keypoints2f.add(on2);
    }
    Log.d(Name, "After filtering:" + keypoints1f.size());
    if (arr.length < 5) {
        return OneMatrix();
    }
    points1.fromArray(keypoints1f.toArray(new Point[keypoints1f.size()]));
    points2.fromArray(keypoints2f.toArray(new Point[keypoints2f.size()]));
    Mat h = null;
    if (!points1.empty() && !points2.empty()) {
        Log.d(Name, "points1:" + points1.toString());
        int iters = 7000 / (arr.length / 3000 + 1);
        h = findHomography(points1, points2, RANSAC, 3.0, new Mat(), iters);
    }
    // keyPoints1.release();
    keyPoints2.release();
    if (h == null || h.size().height == 0)
        return OneMatrix();
    return h;
}

Example 2 with DMatch

use of org.opencv.core.DMatch in project Water_meter_identification by cqlaiyang.

the class Converters method vector_DMatch_to_Mat.

public static Mat vector_DMatch_to_Mat(List<DMatch> matches) {
    Mat res;
    int count = (matches != null) ? matches.size() : 0;
    if (count > 0) {
        res = new Mat(count, 1, CvType.CV_64FC4);
        double[] buff = new double[count * 4];
        for (int i = 0; i < count; i++) {
            DMatch m = matches.get(i);
            buff[4 * i] = m.queryIdx;
            buff[4 * i + 1] = m.trainIdx;
            buff[4 * i + 2] = m.imgIdx;
            buff[4 * i + 3] = m.distance;
        }
        res.put(0, 0, buff);
    } else {
        res = new Mat();
    }
    return res;
}

Example 3 with DMatch

use of org.opencv.core.DMatch in project Relic_Main by TeamOverdrive.

the class MatOfDMatch method fromArray.

public void fromArray(DMatch... a) {
    if (a == null || a.length == 0)
        return;
    int num = a.length;
    alloc(num);
    float[] buff = new float[num * _channels];
    for (int i = 0; i < num; i++) {
        DMatch m = a[i];
        buff[_channels * i + 0] = m.queryIdx;
        buff[_channels * i + 1] = m.trainIdx;
        buff[_channels * i + 2] = m.imgIdx;
        buff[_channels * i + 3] = m.distance;
    }
    // TODO: check ret val!
    put(0, 0, buff);
}

Example 4 with DMatch

use of org.opencv.core.DMatch in project Relic_Main by TeamOverdrive.

the class Converters method vector_DMatch_to_Mat.

public static Mat vector_DMatch_to_Mat(List<DMatch> matches) {
    Mat res;
    int count = (matches != null) ? matches.size() : 0;
    if (count > 0) {
        res = new Mat(count, 1, CvType.CV_64FC4);
        double[] buff = new double[count * 4];
        for (int i = 0; i < count; i++) {
            DMatch m = matches.get(i);
            buff[4 * i] = m.queryIdx;
            buff[4 * i + 1] = m.trainIdx;
            buff[4 * i + 2] = m.imgIdx;
            buff[4 * i + 3] = m.distance;
        }
        res.put(0, 0, buff);
    } else {
        res = new Mat();
    }
    return res;
}

Example 5 with DMatch

use of org.opencv.core.DMatch in project Relic_Main by TeamOverdrive.

the class Converters method Mat_to_vector_DMatch.

public static void Mat_to_vector_DMatch(Mat m, List<DMatch> matches) {
    if (matches == null)
        throw new java.lang.IllegalArgumentException("Output List can't be null");
    int count = m.rows();
    if (CvType.CV_64FC4 != m.type() || m.cols() != 1)
        throw new java.lang.IllegalArgumentException("CvType.CV_64FC4 != m.type() ||  m.cols()!=1\n" + m);
    matches.clear();
    double[] buff = new double[4 * count];
    m.get(0, 0, buff);
    for (int i = 0; i < count; i++) {
        matches.add(new DMatch((int) buff[4 * i], (int) buff[4 * i + 1], (int) buff[4 * i + 2], (float) buff[4 * i + 3]));
    }
}