cvflann::KNNResultSet< DistanceType > Class Template Reference

K-Nearest neighbour result set. More...

#include <opencv2/flann/result_set.h>

Inheritance diagram for cvflann::KNNResultSet< DistanceType >:

Collaboration diagram for cvflann::KNNResultSet< DistanceType >:

Public Member Functions
	KNNResultSet (int capacity_)
void	addPoint (DistanceType dist, int index) CV_OVERRIDE
bool	full () const CV_OVERRIDE
void	init (int *indices_, DistanceType *dists_)
size_t	size () const
DistanceType	worstDist () const CV_OVERRIDE

Detailed Description

template<typename DistanceType>
class cvflann::KNNResultSet< DistanceType >

K-Nearest neighbour result set.

Ensures that the elements inserted are unique

Constructor & Destructor Documentation

KNNResultSet()

template<typename DistanceType>

cvflann::KNNResultSet< DistanceType >::KNNResultSet ( int  capacity_ )

inline

Member Function Documentation

addPoint()

template<typename DistanceType>

void cvflann::KNNResultSet< DistanceType >::addPoint ( DistanceType  dist, int  index  )

inlinevirtual

Implements cvflann::ResultSet< DistanceType >.

full()

template<typename DistanceType>

bool cvflann::KNNResultSet< DistanceType >::full ( ) const

inlinevirtual

Implements cvflann::ResultSet< DistanceType >.

init()

template<typename DistanceType>

void cvflann::KNNResultSet< DistanceType >::init ( int *  indices_, DistanceType *  dists_  )

inline

References cv::max().

Referenced by cvflann::NNIndex< cv::L1< ElementType > >::knnSearch(), and cvflann::search_with_ground_truth().

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size()

template<typename DistanceType>

size_t cvflann::KNNResultSet< DistanceType >::size ( ) const

inline

worstDist()

template<typename DistanceType>

DistanceType cvflann::KNNResultSet< DistanceType >::worstDist ( ) const

inlinevirtual

Implements cvflann::ResultSet< DistanceType >.

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The documentation for this class was generated from the following file:

• opencv2/flann/result_set.h