opencv/3rdparty/flann/composite_index.h

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/***********************************************************************
* 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 COMPOSITETREE_H
#define COMPOSITETREE_H
#include "constants.h"
#include "nn_index.h"
namespace cvflann
{
class CompositeIndex : public NNIndex
{
KMeansIndex* kmeans;
KDTreeIndex* kdtree;
const Matrix<float> dataset;
public:
CompositeIndex(const Matrix<float>& inputData, const CompositeIndexParams& params = CompositeIndexParams() ) : dataset(inputData)
{
KDTreeIndexParams kdtree_params(params.trees);
KMeansIndexParams kmeans_params(params.branching, params.iterations, params.centers_init, params.cb_index);
kdtree = new KDTreeIndex(inputData,kdtree_params);
kmeans = new KMeansIndex(inputData,kmeans_params);
}
virtual ~CompositeIndex()
{
delete kdtree;
delete kmeans;
}
flann_algorithm_t getType() const
{
return COMPOSITE;
}
int size() const
{
return dataset.rows;
}
int veclen() const
{
return dataset.cols;
}
int usedMemory() const
{
return kmeans->usedMemory()+kdtree->usedMemory();
}
void buildIndex()
{
logger.info("Building kmeans tree...\n");
kmeans->buildIndex();
logger.info("Building kdtree tree...\n");
kdtree->buildIndex();
}
void saveIndex(FILE* /*stream*/)
{
}
void loadIndex(FILE* /*stream*/)
{
}
void findNeighbors(ResultSet& result, const float* vec, const SearchParams& searchParams)
{
kmeans->findNeighbors(result,vec,searchParams);
kdtree->findNeighbors(result,vec,searchParams);
}
// Params estimateSearchParams(float precision, Dataset<float>* testset = NULL)
// {
// Params params;
//
// return params;
// }
};
}
#endif //COMPOSITETREE_H