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			136 lines
		
	
	
		
			3.7 KiB
		
	
	
	
		
			C
		
	
		
		
			
		
	
	
			136 lines
		
	
	
		
			3.7 KiB
		
	
	
	
		
			C
		
	
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											3 years ago
										 
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								/***********************************************************************
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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 OPENCV_FLANN_LINEAR_INDEX_H_
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								#define OPENCV_FLANN_LINEAR_INDEX_H_
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								//! @cond IGNORED
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								#include "nn_index.h"
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								namespace cvflann
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								{
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								struct LinearIndexParams : public IndexParams
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								{
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								    LinearIndexParams()
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								    {
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								        (* this)["algorithm"] = FLANN_INDEX_LINEAR;
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								    }
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								};
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								template <typename Distance>
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								class LinearIndex : public NNIndex<Distance>
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								{
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								public:
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								    typedef typename Distance::ElementType ElementType;
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								    typedef typename Distance::ResultType DistanceType;
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								    LinearIndex(const Matrix<ElementType>& inputData, const IndexParams& params = LinearIndexParams(),
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								                Distance d = Distance()) :
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								        dataset_(inputData), index_params_(params), distance_(d)
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								    {
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								    }
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								    LinearIndex(const LinearIndex&);
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								    LinearIndex& operator=(const LinearIndex&);
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								    flann_algorithm_t getType() const CV_OVERRIDE
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								    {
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								        return FLANN_INDEX_LINEAR;
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								    }
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								    size_t size() const CV_OVERRIDE
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								    {
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								        return dataset_.rows;
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								    }
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								    size_t veclen() const CV_OVERRIDE
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								    {
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								        return dataset_.cols;
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								    }
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								    int usedMemory() const CV_OVERRIDE
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								    {
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								        return 0;
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								    }
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								    void buildIndex() CV_OVERRIDE
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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*) CV_OVERRIDE
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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*) CV_OVERRIDE
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								    {
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								        /* nothing to do here for linear search */
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								        index_params_["algorithm"] = getType();
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								    }
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								    void findNeighbors(ResultSet<DistanceType>& resultSet, const ElementType* vec, const SearchParams& /*searchParams*/) CV_OVERRIDE
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								    {
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								        ElementType* data = dataset_.data;
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								        for (size_t i = 0; i < dataset_.rows; ++i, data += dataset_.cols) {
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								            DistanceType dist = distance_(data, vec, dataset_.cols);
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								            resultSet.addPoint(dist, (int)i);
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								        }
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								    }
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								    IndexParams getParameters() const CV_OVERRIDE
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								    {
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								        return index_params_;
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								    }
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								private:
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								    /** The dataset */
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								    const Matrix<ElementType> dataset_;
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								    /** Index parameters */
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								    IndexParams index_params_;
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								    /** Index distance */
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								    Distance distance_;
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								};
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								}
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								//! @endcond
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								#endif // OPENCV_FLANN_LINEAR_INDEX_H_
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