nanoflann.hpp File Reference

#include <algorithm>
#include <array>
#include <atomic>
#include <cassert>
#include <cmath>
#include <cstdlib>
#include <functional>
#include <future>
#include <istream>
#include <limits>
#include <ostream>
#include <stdexcept>
#include <unordered_set>
#include <vector>

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Classes
struct	nanoflann::has_resize< T, typename >
struct	nanoflann::has_resize< T, decltype((void) std::declval< T >().resize(1), 0)>
struct	nanoflann::has_assign< T, typename >
struct	nanoflann::has_assign< T, decltype((void) std::declval< T >().assign(1, 0), 0)>
class	nanoflann::KNNResultSet< _DistanceType, _IndexType, _CountType >
class	nanoflann::RKNNResultSet< _DistanceType, _IndexType, _CountType >
struct	nanoflann::IndexDist_Sorter
struct	nanoflann::ResultItem< IndexType, DistanceType >
class	nanoflann::RadiusResultSet< _DistanceType, _IndexType >
struct	nanoflann::Metric
struct	nanoflann::L1_Adaptor< T, DataSource, _DistanceType, IndexType >
struct	nanoflann::L2_Adaptor< T, DataSource, _DistanceType, IndexType >
struct	nanoflann::L2_Simple_Adaptor< T, DataSource, _DistanceType, IndexType >
struct	nanoflann::SO2_Adaptor< T, DataSource, _DistanceType, IndexType >
struct	nanoflann::SO3_Adaptor< T, DataSource, _DistanceType, IndexType >
struct	nanoflann::metric_L1
struct	nanoflann::metric_L1::traits< T, DataSource, IndexType >
struct	nanoflann::metric_L2
struct	nanoflann::metric_L2::traits< T, DataSource, IndexType >
struct	nanoflann::metric_L2_Simple
struct	nanoflann::metric_L2_Simple::traits< T, DataSource, IndexType >
struct	nanoflann::metric_SO2
struct	nanoflann::metric_SO2::traits< T, DataSource, IndexType >
struct	nanoflann::metric_SO3
struct	nanoflann::metric_SO3::traits< T, DataSource, IndexType >
struct	nanoflann::KDTreeSingleIndexAdaptorParams
struct	nanoflann::SearchParameters
class	nanoflann::PooledAllocator
struct	nanoflann::array_or_vector< DIM, T >
struct	nanoflann::array_or_vector<-1, T >
class	nanoflann::KDTreeBaseClass< Derived, Distance, DatasetAdaptor, DIM, IndexType >
struct	nanoflann::KDTreeBaseClass< Derived, Distance, DatasetAdaptor, DIM, IndexType >::Node
struct	nanoflann::KDTreeBaseClass< Derived, Distance, DatasetAdaptor, DIM, IndexType >::Interval
class	nanoflann::KDTreeSingleIndexAdaptor< Distance, DatasetAdaptor, DIM, IndexType >
class	nanoflann::KDTreeSingleIndexDynamicAdaptor_< Distance, DatasetAdaptor, DIM, IndexType >
class	nanoflann::KDTreeSingleIndexDynamicAdaptor< Distance, DatasetAdaptor, DIM, IndexType >
struct	nanoflann::KDTreeEigenMatrixAdaptor< MatrixType, DIM, Distance, row_major >
struct	KDTreeVectorOfVectorsAdaptor< VectorOfVectorsType, num_t, DIM, Distance, IndexType >
struct	PointCloud< T >
struct	PointCloud< T >::Point
struct	PointCloud_Quat< T >
struct	PointCloud_Quat< T >::Point
struct	PointCloud_Orient< T >
struct	PointCloud_Orient< T >::Point

Namespaces
namespace	nanoflann

Macros
#define	NANOFLANN_VERSION   0x151

Enumerations
enum class	nanoflann::KDTreeSingleIndexAdaptorFlags { nanoflann::KDTreeSingleIndexAdaptorFlags::None = 0 , nanoflann::KDTreeSingleIndexAdaptorFlags::SkipInitialBuildIndex = 1 }

Functions
template<typename T >
T	nanoflann::pi_const ()
template<typename Container >
std::enable_if< has_resize< Container >::value, void >::type	nanoflann::resize (Container &c, const size_t nElements)
template<typename Container >
std::enable_if<!has_resize< Container >::value, void >::type	nanoflann::resize (Container &c, const size_t nElements)
template<typename Container , typename T >
std::enable_if< has_assign< Container >::value, void >::type	nanoflann::assign (Container &c, const size_t nElements, const T &value)
template<typename Container , typename T >
std::enable_if<!has_assign< Container >::value, void >::type	nanoflann::assign (Container &c, const size_t nElements, const T &value)
template<typename T >
void	nanoflann::save_value (std::ostream &stream, const T &value)
template<typename T >
void	nanoflann::save_value (std::ostream &stream, const std::vector< T > &value)
template<typename T >
void	nanoflann::load_value (std::istream &stream, T &value)
template<typename T >
void	nanoflann::load_value (std::istream &stream, std::vector< T > &value)
std::underlying_type< KDTreeSingleIndexAdaptorFlags >::type	nanoflann::operator& (KDTreeSingleIndexAdaptorFlags lhs, KDTreeSingleIndexAdaptorFlags rhs)
template<typename T >
void	generateRandomPointCloudRanges (PointCloud< T > &pc, const size_t N, const T max_range_x, const T max_range_y, const T max_range_z)
template<typename T >
void	generateRandomPointCloud (PointCloud< T > &pc, const size_t N, const T max_range=10)
template<typename T >
void	generateRandomPointCloud_Quat (PointCloud_Quat< T > &point, const size_t N)
template<typename T >
void	generateRandomPointCloud_Orient (PointCloud_Orient< T > &point, const size_t N)
void	dump_mem_usage ()

Macro Definition Documentation

NANOFLANN_VERSION

#define NANOFLANN_VERSION   0x151

Library version: 0xMmP (M=Major,m=minor,P=patch)

Function Documentation

dump_mem_usage()

void dump_mem_usage ( )

inline

generateRandomPointCloud()

template<typename T >

void generateRandomPointCloud	(	PointCloud< T > &	pc,
		const size_t	N,
		const T	max_range = 10
	)

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generateRandomPointCloud_Orient()

template<typename T >

void generateRandomPointCloud_Orient	(	PointCloud_Orient< T > &	point,
		const size_t	N
	)

generateRandomPointCloud_Quat()

template<typename T >

void generateRandomPointCloud_Quat	(	PointCloud_Quat< T > &	point,
		const size_t	N
	)

generateRandomPointCloudRanges()

template<typename T >

void generateRandomPointCloudRanges	(	PointCloud< T > &	pc,
		const size_t	N,
		const T	max_range_x,
		const T	max_range_y,
		const T	max_range_z
	)

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