106 lines
2.7 KiB
C++
106 lines
2.7 KiB
C++
/***********************************************************************
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* Software License Agreement (BSD License)
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*
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* Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
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* Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
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*
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* THE BSD LICENSE
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
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* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
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* IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
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* NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
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* THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*************************************************************************/
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#ifndef LINEARSEARCH_H
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#define LINEARSEARCH_H
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#include "constants.h"
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#include "nn_index.h"
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namespace flann
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{
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class LinearIndex : public NNIndex {
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const Matrix<float> dataset;
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public:
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LinearIndex(const Matrix<float>& inputData, const LinearIndexParams& params = LinearIndexParams() ) : dataset(inputData)
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{
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}
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flann_algorithm_t getType() const
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{
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return LINEAR;
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}
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int size() const
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{
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return dataset.rows;
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}
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int veclen() const
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{
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return dataset.cols;
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}
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int usedMemory() const
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{
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return 0;
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}
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void buildIndex()
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{
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/* nothing to do here for linear search */
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}
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void saveIndex(FILE* /*stream*/)
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{
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/* nothing to do here for linear search */
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}
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void loadIndex(FILE* /*stream*/)
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{
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/* nothing to do here for linear search */
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}
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void findNeighbors(ResultSet& resultSet, const float* /*vec*/, const SearchParams& /*searchParams*/)
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{
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for (int i=0;i<dataset.rows;++i) {
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resultSet.addPoint(dataset[i],i);
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}
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}
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// Params estimateSearchParams(float precision, Matrix<float>* testset = NULL)
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// {
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// Params params;
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// return params;
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// }
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};
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}
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#endif // LINEARSEARCH_H
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