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srcnativelibs.Include.OpenCV.opencv2.flann.linear_index.h Maven / Gradle / Ivy
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* Copyright 2008-2009 Marius Muja ([email protected]). All rights reserved.
* Copyright 2008-2009 David G. Lowe ([email protected]). All rights reserved.
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#ifndef OPENCV_FLANN_LINEAR_INDEX_H_
#define OPENCV_FLANN_LINEAR_INDEX_H_
#include "general.h"
#include "nn_index.h"
namespace cvflann
{
struct LinearIndexParams : public IndexParams
{
LinearIndexParams()
{
(* this)["algorithm"] = FLANN_INDEX_LINEAR;
}
};
template
class LinearIndex : public NNIndex
{
public:
typedef typename Distance::ElementType ElementType;
typedef typename Distance::ResultType DistanceType;
LinearIndex(const Matrix& 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
{
return FLANN_INDEX_LINEAR;
}
size_t size() const
{
return dataset_.rows;
}
size_t veclen() const
{
return dataset_.cols;
}
int usedMemory() const
{
return 0;
}
void buildIndex()
{
/* nothing to do here for linear search */
}
void saveIndex(FILE*)
{
/* nothing to do here for linear search */
}
void loadIndex(FILE*)
{
/* nothing to do here for linear search */
index_params_["algorithm"] = getType();
}
void findNeighbors(ResultSet& resultSet, const ElementType* vec, const SearchParams& /*searchParams*/)
{
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
{
return index_params_;
}
private:
/** The dataset */
const Matrix dataset_;
/** Index parameters */
IndexParams index_params_;
/** Index distance */
Distance distance_;
};
}
#endif // OPENCV_FLANN_LINEAR_INDEX_H_
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