package org.opencv.core; import java.util.Arrays; import java.util.List; import org.opencv.features2d.DMatch; public class MatOfDMatch extends Mat { // 32FC4 private static final int _depth = CvType.CV_32F; private static final int _channels = 4; public MatOfDMatch() { super(); } protected MatOfDMatch(long addr) { super(addr); if( !empty() && checkVector(_channels, _depth) < 0 ) throw new IllegalArgumentException("Incompatible Mat: " + toString()); //FIXME: do we need release() here? } public static MatOfDMatch fromNativeAddr(long addr) { return new MatOfDMatch(addr); } public MatOfDMatch(Mat m) { super(m, Range.all()); if( !empty() && checkVector(_channels, _depth) < 0 ) throw new IllegalArgumentException("Incompatible Mat: " + toString()); //FIXME: do we need release() here? } public MatOfDMatch(DMatch...ap) { super(); fromArray(ap); } public void alloc(int elemNumber) { if(elemNumber>0) super.create(elemNumber, 1, CvType.makeType(_depth, _channels)); } 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; } put(0, 0, buff); //TODO: check ret val! } public DMatch[] toArray() { int num = (int) total(); DMatch[] a = new DMatch[num]; if(num == 0) return a; float buff[] = new float[num * _channels]; get(0, 0, buff); //TODO: check ret val! for(int i=0; i<num; i++) a[i] = new DMatch((int) buff[_channels*i+0], (int) buff[_channels*i+1], (int) buff[_channels*i+2], buff[_channels*i+3]); return a; } public void fromList(List<DMatch> ldm) { DMatch adm[] = ldm.toArray(new DMatch[0]); fromArray(adm); } public List<DMatch> toList() { DMatch[] adm = toArray(); return Arrays.asList(adm); } }