OXIESEC PANEL

Name	Size	Modified	Perms
📁 ..	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 all_indices.h	5.82 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 allocator.h	5.92 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 any.h	8.06 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 autotuned_index.h	20.36 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 composite_index.h	5.85 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 config.h	1.75 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 defines.h	4.61 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 dist.h	26.9 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 dummy.h	251 bytes	05/12/2017 03:45:27 AM	rw-r--r--
📄 dynamic_bitset.h	4.45 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 flann.hpp	2.31 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 flann_base.hpp	8.65 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 general.h	1.99 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 ground_truth.h	3.23 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 hdf5.h	7.13 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 heap.h	4.01 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 hierarchical_clustering_index.h	25.42 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 index_testing.h	10.56 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 kdtree_index.h	19.22 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 kdtree_single_index.h	19.7 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 kmeans_index.h	36.05 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 linear_index.h	3.61 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 logger.h	3.63 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 lsh_index.h	15.19 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 lsh_table.h	17.51 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 matrix.h	3.21 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 miniflann.hpp	5.75 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 nn_index.h	5.91 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 object_factory.h	2.83 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 params.h	3.2 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 random.h	3.61 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 result_set.h	14.64 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 sampling.h	2.78 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 saving.h	5.64 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 simplex_downhill.h	5.61 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 timer.h	2.47 KB	05/12/2017 03:45:27 AM	rw-r--r--

Editing: ground_truth.h

/***********************************************************************
 * 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 OPENCV_FLANN_GROUND_TRUTH_H_
#define OPENCV_FLANN_GROUND_TRUTH_H_

#include "dist.h"
#include "matrix.h"

namespace cvflann
{

template <typename Distance>
void find_nearest(const Matrix<typename Distance::ElementType>& dataset, typename Distance::ElementType* query, int* matches, int nn,
                  int skip = 0, Distance distance = Distance())
{
    typedef typename Distance::ResultType DistanceType;
    int n = nn + skip;

std::vector<int> match(n);
    std::vector<DistanceType> dists(n);

dists[0] = distance(dataset[0], query, dataset.cols);
    match[0] = 0;
    int dcnt = 1;

for (size_t i=1; i<dataset.rows; ++i) {
        DistanceType tmp = distance(dataset[i], query, dataset.cols);

if (dcnt<n) {
            match[dcnt] = (int)i;
            dists[dcnt++] = tmp;
        }
        else if (tmp < dists[dcnt-1]) {
            dists[dcnt-1] = tmp;
            match[dcnt-1] = (int)i;
        }

int j = dcnt-1;
        // bubble up
        while (j>=1 && dists[j]<dists[j-1]) {
            std::swap(dists[j],dists[j-1]);
            std::swap(match[j],match[j-1]);
            j--;
        }
    }

for (int i=0; i<nn; ++i) {
        matches[i] = match[i+skip];
    }
}

template <typename Distance>
void compute_ground_truth(const Matrix<typename Distance::ElementType>& dataset, const Matrix<typename Distance::ElementType>& testset, Matrix<int>& matches,
                          int skip=0, Distance d = Distance())
{
    for (size_t i=0; i<testset.rows; ++i) {
        find_nearest<Distance>(dataset, testset[i], matches[i], (int)matches.cols, skip, d);
    }
}

}

#endif //OPENCV_FLANN_GROUND_TRUTH_H_