cameracv/libs/opencv/modules/flann/include/opencv2/flann/linear_index.h
2023-05-18 21:39:43 +03:00

135 lines
3.7 KiB
C++

/***********************************************************************
* 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
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*
* 1. Redistributions of source code must retain the above copyright
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* 2. Redistributions in binary form must reproduce the above copyright
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* documentation and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
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#ifndef OPENCV_FLANN_LINEAR_INDEX_H_
#define OPENCV_FLANN_LINEAR_INDEX_H_
//! @cond IGNORED
#include "nn_index.h"
namespace cvflann
{
struct LinearIndexParams : public IndexParams
{
LinearIndexParams()
{
(* this)["algorithm"] = FLANN_INDEX_LINEAR;
}
};
template <typename Distance>
class LinearIndex : public NNIndex<Distance>
{
public:
typedef typename Distance::ElementType ElementType;
typedef typename Distance::ResultType DistanceType;
LinearIndex(const Matrix<ElementType>& inputData, const IndexParams& params = LinearIndexParams(),
Distance d = Distance()) :
dataset_(inputData), index_params_(params), distance_(d)
{
}
LinearIndex(const LinearIndex&);
LinearIndex& operator=(const LinearIndex&);
flann_algorithm_t getType() const CV_OVERRIDE
{
return FLANN_INDEX_LINEAR;
}
size_t size() const CV_OVERRIDE
{
return dataset_.rows;
}
size_t veclen() const CV_OVERRIDE
{
return dataset_.cols;
}
int usedMemory() const CV_OVERRIDE
{
return 0;
}
void buildIndex() CV_OVERRIDE
{
/* nothing to do here for linear search */
}
void saveIndex(FILE*) CV_OVERRIDE
{
/* nothing to do here for linear search */
}
void loadIndex(FILE*) CV_OVERRIDE
{
/* nothing to do here for linear search */
index_params_["algorithm"] = getType();
}
void findNeighbors(ResultSet<DistanceType>& resultSet, const ElementType* vec, const SearchParams& /*searchParams*/) CV_OVERRIDE
{
ElementType* data = dataset_.data;
for (size_t i = 0; i < dataset_.rows; ++i, data += dataset_.cols) {
DistanceType dist = distance_(data, vec, dataset_.cols);
resultSet.addPoint(dist, (int)i);
}
}
IndexParams getParameters() const CV_OVERRIDE
{
return index_params_;
}
private:
/** The dataset */
const Matrix<ElementType> dataset_;
/** Index parameters */
IndexParams index_params_;
/** Index distance */
Distance distance_;
};
}
//! @endcond
#endif // OPENCV_FLANN_LINEAR_INDEX_H_