org.opencv.core.MatOfPoint Java Examples

/**
 * @param input - Input mat (Can be MatOfPoint for contours)
 * @return - Difference from perfect score
 */
@Override
public double calculateScore(Mat input) {
    if(!(input instanceof MatOfPoint)) return Double.MAX_VALUE;
    MatOfPoint contour = (MatOfPoint) input;
    double score = Double.MAX_VALUE;

    // Get bounding rect of contour
    Rect rect = Imgproc.boundingRect(contour);
    double x = rect.x;
    double y = rect.y;
    double w = rect.width;
    double h = rect.height;

    double cubeRatio = Math.max(Math.abs(h/w), Math.abs(w/h)); // Get the ratio. We use max in case h and w get swapped??? it happens when u account for rotation
    double ratioDiffrence = Math.abs(cubeRatio - perfectRatio);
    return ratioDiffrence * weight;
}
 

public static void Mat_to_vector_vector_Point(Mat m, List<MatOfPoint> pts) {
    if (pts == null)
        throw new java.lang.IllegalArgumentException("Output List can't be null");

    if (m == null)
        throw new java.lang.IllegalArgumentException("Input Mat can't be null");

    List<Mat> mats = new ArrayList<Mat>(m.rows());
    Mat_to_vector_Mat(m, mats);
    for (Mat mi : mats) {
        MatOfPoint pt = new MatOfPoint(mi);
        pts.add(pt);
        mi.release();
    }
    mats.clear();
}
 

public static void Mat_to_vector_vector_Point(Mat m, List<MatOfPoint> pts) {
    if (pts == null)
        throw new java.lang.IllegalArgumentException("Output List can't be null");

    if (m == null)
        throw new java.lang.IllegalArgumentException("Input Mat can't be null");

    List<Mat> mats = new ArrayList<Mat>(m.rows());
    Mat_to_vector_Mat(m, mats);
    for (Mat mi : mats) {
        MatOfPoint pt = new MatOfPoint(mi);
        pts.add(pt);
        mi.release();
    }
    mats.clear();
}
 

public  void detect(Mat img, MatOfPoint foundLocations, MatOfDouble weights, double hitThreshold, Size winStride, Size padding, MatOfPoint searchLocations)
{
    Mat foundLocations_mat = foundLocations;
    Mat weights_mat = weights;
    Mat searchLocations_mat = searchLocations;
    detect_0(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, weights_mat.nativeObj, hitThreshold, winStride.width, winStride.height, padding.width, padding.height, searchLocations_mat.nativeObj);
    
    return;
}
 

public static void ellipse2Poly(Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, MatOfPoint pts)
{
    Mat pts_mat = pts;
    ellipse2Poly_0(center.x, center.y, axes.width, axes.height, angle, arcStart, arcEnd, delta, pts_mat.nativeObj);
    
    return;
}
 

public static void drawContours(Mat image, List<MatOfPoint> contours, int contourIdx, Scalar color, int thickness, int lineType, Mat hierarchy, int maxLevel, Point offset)
{
    List<Mat> contours_tmplm = new ArrayList<Mat>((contours != null) ? contours.size() : 0);
    Mat contours_mat = Converters.vector_vector_Point_to_Mat(contours, contours_tmplm);
    drawContours_0(image.nativeObj, contours_mat.nativeObj, contourIdx, color.val[0], color.val[1], color.val[2], color.val[3], thickness, lineType, hierarchy.nativeObj, maxLevel, offset.x, offset.y);
    
    return;
}
 

public static void convexHull(MatOfPoint points, MatOfInt hull)
{
    Mat points_mat = points;
    Mat hull_mat = hull;
    convexHull_1(points_mat.nativeObj, hull_mat.nativeObj);
    
    return;
}
 

public static void drawContours(Mat image, List<MatOfPoint> contours, int contourIdx, Scalar color, int thickness, int lineType, Mat hierarchy, int maxLevel, Point offset)
{
    List<Mat> contours_tmplm = new ArrayList<Mat>((contours != null) ? contours.size() : 0);
    Mat contours_mat = Converters.vector_vector_Point_to_Mat(contours, contours_tmplm);
    drawContours_0(image.nativeObj, contours_mat.nativeObj, contourIdx, color.val[0], color.val[1], color.val[2], color.val[3], thickness, lineType, hierarchy.nativeObj, maxLevel, offset.x, offset.y);
    
    return;
}
 

public static Rect boundingRect(MatOfPoint points)
{
    Mat points_mat = points;
    Rect retVal = new Rect(boundingRect_0(points_mat.nativeObj));
    
    return retVal;
}
 

public static void fillConvexPoly(Mat img, MatOfPoint points, Scalar color)
{
    Mat points_mat = points;
    fillConvexPoly_1(img.nativeObj, points_mat.nativeObj, color.val[0], color.val[1], color.val[2], color.val[3]);
    
    return;
}
 

public  void detect(Mat img, MatOfPoint foundLocations, MatOfDouble weights, double hitThreshold, Size winStride, Size padding, MatOfPoint searchLocations)
{
    Mat foundLocations_mat = foundLocations;
    Mat weights_mat = weights;
    Mat searchLocations_mat = searchLocations;
    detect_0(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, weights_mat.nativeObj, hitThreshold, winStride.width, winStride.height, padding.width, padding.height, searchLocations_mat.nativeObj);
    
    return;
}
 

public static void polylines(Mat img, List<MatOfPoint> pts, boolean isClosed, Scalar color)
{
    List<Mat> pts_tmplm = new ArrayList<Mat>((pts != null) ? pts.size() : 0);
    Mat pts_mat = Converters.vector_vector_Point_to_Mat(pts, pts_tmplm);
    polylines_2(img.nativeObj, pts_mat.nativeObj, isClosed, color.val[0], color.val[1], color.val[2], color.val[3]);
    
    return;
}
 

public static void Mat_to_vector_vector_Point(Mat m, List<MatOfPoint> pts) {
    if (pts == null)
        throw new java.lang.IllegalArgumentException("Output List can't be null");

    if (m == null)
        throw new java.lang.IllegalArgumentException("Input Mat can't be null");

    List<Mat> mats = new ArrayList<Mat>(m.rows());
    Mat_to_vector_Mat(m, mats);
    for (Mat mi : mats) {
        MatOfPoint pt = new MatOfPoint(mi);
        pts.add(pt);
    }
}
 

public static Rect boundingRect(MatOfPoint points)
{
    Mat points_mat = points;
    Rect retVal = new Rect(boundingRect_0(points_mat.nativeObj));
    
    return retVal;
}
 

public static void polylines(Mat img, List<MatOfPoint> pts, boolean isClosed, Scalar color)
{
    List<Mat> pts_tmplm = new ArrayList<Mat>((pts != null) ? pts.size() : 0);
    Mat pts_mat = Converters.vector_vector_Point_to_Mat(pts, pts_tmplm);
    polylines_2(img.nativeObj, pts_mat.nativeObj, isClosed, color.val[0], color.val[1], color.val[2], color.val[3]);
    
    return;
}
 

public static void fillPoly(Mat img, List<MatOfPoint> pts, Scalar color)
{
    List<Mat> pts_tmplm = new ArrayList<Mat>((pts != null) ? pts.size() : 0);
    Mat pts_mat = Converters.vector_vector_Point_to_Mat(pts, pts_tmplm);
    fillPoly_1(img.nativeObj, pts_mat.nativeObj, color.val[0], color.val[1], color.val[2], color.val[3]);
    
    return;
}
 

public  void compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding, MatOfPoint locations)
{
    Mat descriptors_mat = descriptors;
    Mat locations_mat = locations;
    compute_0(nativeObj, img.nativeObj, descriptors_mat.nativeObj, winStride.width, winStride.height, padding.width, padding.height, locations_mat.nativeObj);
    
    return;
}
 

public static void drawContours(Mat image, List<MatOfPoint> contours, int contourIdx, Scalar color)
{
    List<Mat> contours_tmplm = new ArrayList<Mat>((contours != null) ? contours.size() : 0);
    Mat contours_mat = Converters.vector_vector_Point_to_Mat(contours, contours_tmplm);
    drawContours_2(image.nativeObj, contours_mat.nativeObj, contourIdx, color.val[0], color.val[1], color.val[2], color.val[3]);
    
    return;
}
 

public static Rect boundingRect(MatOfPoint points)
{
    Mat points_mat = points;
    Rect retVal = new Rect(boundingRect_0(points_mat.nativeObj));
    
    return retVal;
}
 

public static void convexHull(MatOfPoint points, MatOfInt hull)
{
    Mat points_mat = points;
    Mat hull_mat = hull;
    convexHull_1(points_mat.nativeObj, hull_mat.nativeObj);
    
    return;
}
 

public static void polylines(Mat img, List<MatOfPoint> pts, boolean isClosed, Scalar color, int thickness)
{
    List<Mat> pts_tmplm = new ArrayList<Mat>((pts != null) ? pts.size() : 0);
    Mat pts_mat = Converters.vector_vector_Point_to_Mat(pts, pts_tmplm);
    polylines_1(img.nativeObj, pts_mat.nativeObj, isClosed, color.val[0], color.val[1], color.val[2], color.val[3], thickness);
    
    return;
}
 

public static void fillPoly(Mat img, List<MatOfPoint> pts, Scalar color)
{
    List<Mat> pts_tmplm = new ArrayList<Mat>((pts != null) ? pts.size() : 0);
    Mat pts_mat = Converters.vector_vector_Point_to_Mat(pts, pts_tmplm);
    fillPoly_1(img.nativeObj, pts_mat.nativeObj, color.val[0], color.val[1], color.val[2], color.val[3]);
    
    return;
}
 

public  void detect(Mat img, MatOfPoint foundLocations, MatOfDouble weights, double hitThreshold, Size winStride, Size padding, MatOfPoint searchLocations)
{
    Mat foundLocations_mat = foundLocations;
    Mat weights_mat = weights;
    Mat searchLocations_mat = searchLocations;
    detect_0(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, weights_mat.nativeObj, hitThreshold, winStride.width, winStride.height, padding.width, padding.height, searchLocations_mat.nativeObj);
    
    return;
}
 

public static void goodFeaturesToTrack(Mat image, MatOfPoint corners, int maxCorners, double qualityLevel, double minDistance, Mat mask, int blockSize, boolean useHarrisDetector, double k)
{
    Mat corners_mat = corners;
    goodFeaturesToTrack_0(image.nativeObj, corners_mat.nativeObj, maxCorners, qualityLevel, minDistance, mask.nativeObj, blockSize, useHarrisDetector, k);
    
    return;
}
 

public static void drawContours(Mat image, List<MatOfPoint> contours, int contourIdx, Scalar color, int thickness, int lineType, Mat hierarchy, int maxLevel, Point offset)
{
    List<Mat> contours_tmplm = new ArrayList<Mat>((contours != null) ? contours.size() : 0);
    Mat contours_mat = Converters.vector_vector_Point_to_Mat(contours, contours_tmplm);
    drawContours_0(image.nativeObj, contours_mat.nativeObj, contourIdx, color.val[0], color.val[1], color.val[2], color.val[3], thickness, lineType, hierarchy.nativeObj, maxLevel, offset.x, offset.y);
    
    return;
}
 

public static boolean isContourConvex(MatOfPoint contour)
{
    Mat contour_mat = contour;
    boolean retVal = isContourConvex_0(contour_mat.nativeObj);
    
    return retVal;
}
 

public static void polylines(Mat img, List<MatOfPoint> pts, boolean isClosed, Scalar color)
{
    List<Mat> pts_tmplm = new ArrayList<Mat>((pts != null) ? pts.size() : 0);
    Mat pts_mat = Converters.vector_vector_Point_to_Mat(pts, pts_tmplm);
    polylines_3(img.nativeObj, pts_mat.nativeObj, isClosed, color.val[0], color.val[1], color.val[2], color.val[3]);
    
    return;
}
 

public static void fillConvexPoly(Mat img, MatOfPoint points, Scalar color, int lineType, int shift)
{
    Mat points_mat = points;
    fillConvexPoly_0(img.nativeObj, points_mat.nativeObj, color.val[0], color.val[1], color.val[2], color.val[3], lineType, shift);
    
    return;
}
 

private void resetVars(){
    mPrevGray = new Mat(mGray.rows(), mGray.cols(), CvType.CV_8UC1);
    features = new MatOfPoint();
    prevFeatures = new MatOfPoint2f();
    nextFeatures = new MatOfPoint2f();
    status = new MatOfByte();
    err = new MatOfFloat();
}
 

public  void compute(Mat img, MatOfFloat descriptors, Size winStride, Size padding, MatOfPoint locations)
{
    Mat descriptors_mat = descriptors;
    Mat locations_mat = locations;
    compute_0(nativeObj, img.nativeObj, descriptors_mat.nativeObj, winStride.width, winStride.height, padding.width, padding.height, locations_mat.nativeObj);
    
    return;
}