NanoFlannImpl.h File Reference

#include <Helper.h>
#include <tbb/parallel_for.h>
#include <algorithm>
#include <mutex>
#include <nanoflann.hpp>
#include "cloudViewer/core/Atomic.h"
#include "cloudViewer/core/nns/NeighborSearchCommon.h"
#include "cloudViewer/utility/ParallelScan.h"

Include dependency graph for NanoFlannImpl.h:

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Go to the source code of this file.

Classes
struct	cloudViewer::core::nns::NanoFlannIndexHolder< METRIC, TReal, TIndex >
	NanoFlann Index Holder. More...
struct	cloudViewer::core::nns::NanoFlannIndexHolder< METRIC, TReal, TIndex >::DataAdaptor
struct	cloudViewer::core::nns::NanoFlannIndexHolder< METRIC, TReal, TIndex >::SelectNanoflannAdaptor< M, fake >
	Adaptor Selector. More...
struct	cloudViewer::core::nns::NanoFlannIndexHolder< METRIC, TReal, TIndex >::SelectNanoflannAdaptor< L2, fake >
struct	cloudViewer::core::nns::NanoFlannIndexHolder< METRIC, TReal, TIndex >::SelectNanoflannAdaptor< L1, fake >

Namespaces
	cloudViewer
	Generic file read and write utility for python interface.
	cloudViewer::core
	cloudViewer::core::nns
	cloudViewer::core::nns::impl

Macros
#define	FN_PARAMETERS   num_points, points, dimension, &holder
#define	CALL_TEMPLATE(METRIC)
#define	CALL_TEMPLATE2
#define	FN_PARAMETERS
#define	CALL_TEMPLATE(METRIC)
#define	CALL_TEMPLATE2
#define	FN_PARAMETERS
#define	CALL_TEMPLATE(METRIC)
#define	CALL_TEMPLATE2
#define	FN_PARAMETERS
#define	CALL_TEMPLATE(METRIC)
#define	CALL_TEMPLATE2

Functions
template<class T , class TIndex >
std::unique_ptr< NanoFlannIndexHolderBase >	cloudViewer::core::nns::impl::BuildKdTree (size_t num_points, const T *const points, size_t dimension, const Metric metric)
template<class T , class TIndex , class OUTPUT_ALLOCATOR >
void	cloudViewer::core::nns::impl::KnnSearchCPU (NanoFlannIndexHolderBase *holder, int64_t *query_neighbors_row_splits, size_t num_points, const T *const points, size_t num_queries, const T *const queries, const size_t dimension, int knn, const Metric metric, bool ignore_query_point, bool return_distances, OUTPUT_ALLOCATOR &output_allocator)
template<class T , class TIndex , class OUTPUT_ALLOCATOR >
void	cloudViewer::core::nns::impl::RadiusSearchCPU (NanoFlannIndexHolderBase *holder, int64_t *query_neighbors_row_splits, size_t num_points, const T *const points, size_t num_queries, const T *const queries, const size_t dimension, const T *const radii, const Metric metric, bool ignore_query_point, bool return_distances, bool normalize_distances, bool sort, OUTPUT_ALLOCATOR &output_allocator)
template<class T , class TIndex , class OUTPUT_ALLOCATOR >
void	cloudViewer::core::nns::impl::HybridSearchCPU (NanoFlannIndexHolderBase *holder, size_t num_points, const T *const points, size_t num_queries, const T *const queries, const size_t dimension, const T radius, const int max_knn, const Metric metric, bool ignore_query_point, bool return_distances, OUTPUT_ALLOCATOR &output_allocator)

Macro Definition Documentation

CALL_TEMPLATE [1/4]

#define CALL_TEMPLATE

(

METRIC

)

Value:

    if (METRIC == metric) {                             \
        _BuildKdTree<T, TIndex, METRIC>(FN_PARAMETERS); \
    }

CALL_TEMPLATE [2/4]

#define CALL_TEMPLATE

(

METRIC

)

Value:

    if (METRIC == metric) {                                                \
        _KnnSearchCPU<T, TIndex, OUTPUT_ALLOCATOR, METRIC>(FN_PARAMETERS); \
    }

CALL_TEMPLATE [3/4]

#define CALL_TEMPLATE

(

METRIC

)

Value:

    if (METRIC == metric) {                                                   \
        _RadiusSearchCPU<T, TIndex, OUTPUT_ALLOCATOR, METRIC>(FN_PARAMETERS); \
    }

CALL_TEMPLATE [4/4]

#define CALL_TEMPLATE

(

METRIC

)

Value:

    if (METRIC == metric) {                                                   \
        _HybridSearchCPU<T, TIndex, OUTPUT_ALLOCATOR, METRIC>(FN_PARAMETERS); \
    }

CALL_TEMPLATE2 [1/4]

#define CALL_TEMPLATE2

Value:

    CALL_TEMPLATE(L1)  \
    CALL_TEMPLATE(L2)

CALL_TEMPLATE2 [2/4]

#define CALL_TEMPLATE2

Value:

    CALL_TEMPLATE(L1)  \
    CALL_TEMPLATE(L2)

CALL_TEMPLATE2 [3/4]

#define CALL_TEMPLATE2

Value:

    CALL_TEMPLATE(L1)  \
    CALL_TEMPLATE(L2)

CALL_TEMPLATE2 [4/4]

#define CALL_TEMPLATE2

Value:

    CALL_TEMPLATE(L1)  \
    CALL_TEMPLATE(L2)

FN_PARAMETERS [1/4]

#define FN_PARAMETERS   num_points, points, dimension, &holder

FN_PARAMETERS [2/4]

#define FN_PARAMETERS

Value:

    holder, query_neighbors_row_splits, num_points, points, num_queries,   \
            queries, dimension, knn, ignore_query_point, return_distances, \
            output_allocator

FN_PARAMETERS [3/4]

#define FN_PARAMETERS

Value:

    holder, query_neighbors_row_splits, num_points, points, num_queries,     \
            queries, dimension, radii, ignore_query_point, return_distances, \
            normalize_distances, sort, output_allocator

FN_PARAMETERS [4/4]

#define FN_PARAMETERS

Value:

    holder, num_points, points, num_queries, queries, dimension, radius, \
            max_knn, ignore_query_point, return_distances, output_allocator