/*********************************************************************** * Software License Agreement (BSD License) * * Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved. * Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved. * * THE BSD LICENSE * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES * OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. * IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, * INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT * NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. *************************************************************************/ #ifndef GROUND_TRUTH_H #define GROUND_TRUTH_H #include "flann/algorithms/dist.h" #include "flann/util/matrix.h" namespace flann { template void find_nearest(const Matrix& dataset, typename Distance::ElementType* query, int* matches, int nn, int skip = 0, Distance distance = Distance()) { typedef typename Distance::ElementType ElementType; typedef typename Distance::ResultType DistanceType; int n = nn + skip; int* match = new int[n]; DistanceType* dists = new DistanceType[n]; dists[0] = distance(dataset[0], query, dataset.cols); match[0] = 0; int dcnt = 1; for (size_t i=1;i=1 && dists[j] void compute_ground_truth(const Matrix& dataset, const Matrix& testset, Matrix& matches, int skip=0, Distance d = Distance()) { for (size_t i=0;i(dataset, testset[i], matches[i], matches.cols, skip, d); } } } #endif //GROUND_TRUTH_H