cv::flann::Index Class Reference

#include "miniflann.hpp"

Public Member Functions
	Index ()
	Index (InputArray features, const IndexParams &params, cvflann::flann_distance_t distType=cvflann::FLANN_DIST_L2)
virtual	~Index ()
virtual void	build (InputArray features, const IndexParams &params, cvflann::flann_distance_t distType=cvflann::FLANN_DIST_L2)
cvflann::flann_algorithm_t	getAlgorithm () const
cvflann::flann_distance_t	getDistance () const
virtual void	knnSearch (InputArray query, OutputArray indices, OutputArray dists, int knn, const SearchParams &params=SearchParams())
virtual bool	load (InputArray features, const String &filename)
virtual int	radiusSearch (InputArray query, OutputArray indices, OutputArray dists, double radius, int maxResults, const SearchParams &params=SearchParams())
virtual void	release ()
virtual void	save (const String &filename) const

Protected Attributes
cvflann::flann_algorithm_t	algo
cvflann::flann_distance_t	distType
int	featureType
void *	index

Constructor & Destructor Documentation

Index() [1/2]

cv::flann::Index::Index

(

)

Python:
	<flann_Index object>	=	cv.flann_Index(		)
	<flann_Index object>	=	cv.flann_Index(	features, params[, distType]	)

Index() [2/2]

cv::flann::Index::Index	(	InputArray	features,
		const IndexParams &	params,
		cvflann::flann_distance_t	distType = cvflann::FLANN_DIST_L2
	)

Python:
	<flann_Index object>	=	cv.flann_Index(		)
	<flann_Index object>	=	cv.flann_Index(	features, params[, distType]	)

~Index()

virtual cv::flann::Index::~Index ( )

virtual

Member Function Documentation

build()

virtual void cv::flann::Index::build ( InputArray  features, const IndexParams &  params, cvflann::flann_distance_t  distType = cvflann::FLANN_DIST_L2  )

virtual

Python:
	None	=	cv.flann_Index.build(	features, params[, distType]	)

getAlgorithm()

cvflann::flann_algorithm_t cv::flann::Index::getAlgorithm

(

)

const

Python:
	retval	=	cv.flann_Index.getAlgorithm(		)

getDistance()

cvflann::flann_distance_t cv::flann::Index::getDistance

(

)

const

Python:
	retval	=	cv.flann_Index.getDistance(		)

knnSearch()

virtual void cv::flann::Index::knnSearch ( InputArray  query, OutputArray  indices, OutputArray  dists, int  knn, const SearchParams &  params = SearchParams()  )

virtual

Python:
	indices, dists	=	cv.flann_Index.knnSearch(	query, knn[, indices[, dists[, params]]]	)

load()

virtual bool cv::flann::Index::load ( InputArray  features, const String &  filename  )

virtual

Python:
	retval	=	cv.flann_Index.load(	features, filename	)

radiusSearch()

virtual int cv::flann::Index::radiusSearch ( InputArray  query, OutputArray  indices, OutputArray  dists, double  radius, int  maxResults, const SearchParams &  params = SearchParams()  )

virtual

Python:
	retval, indices, dists	=	cv.flann_Index.radiusSearch(	query, radius, maxResults[, indices[, dists[, params]]]	)

release()

virtual void cv::flann::Index::release ( )

virtual

Python:
	None	=	cv.flann_Index.release(		)

save()

virtual void cv::flann::Index::save ( const String &  filename ) const

virtual

Python:
	None	=	cv.flann_Index.save(	filename	)

Member Data Documentation

algo

cvflann::flann_algorithm_t cv::flann::Index::algo

protected

distType

cvflann::flann_distance_t cv::flann::Index::distType

protected

featureType

int cv::flann::Index::featureType

protected

index

void* cv::flann::Index::index

protected

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

• flann/include/opencv2/flann/miniflann.hpp