OpenCV
4.0.0
Open Source Computer Vision
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#include "lsh_index.h"
Public Types | |
typedef Distance::ResultType | DistanceType |
typedef Distance::ElementType | ElementType |
Public Member Functions | |
LshIndex (const Matrix< ElementType > &input_data, const IndexParams ¶ms=LshIndexParams(), Distance d=Distance()) | |
LshIndex (const LshIndex &) | |
void | buildIndex () CV_OVERRIDE |
void | findNeighbors (ResultSet< DistanceType > &result, const ElementType *vec, const SearchParams &) CV_OVERRIDE |
IndexParams | getParameters () const CV_OVERRIDE |
flann_algorithm_t | getType () const CV_OVERRIDE |
virtual void | knnSearch (const Matrix< ElementType > &queries, Matrix< int > &indices, Matrix< DistanceType > &dists, int knn, const SearchParams ¶ms) CV_OVERRIDE |
Perform k-nearest neighbor search. More... | |
void | loadIndex (FILE *stream) CV_OVERRIDE |
Loads the index from a stream. More... | |
LshIndex & | operator= (const LshIndex &) |
void | saveIndex (FILE *stream) CV_OVERRIDE |
Saves the index to a stream. More... | |
size_t | size () const CV_OVERRIDE |
int | usedMemory () const CV_OVERRIDE |
size_t | veclen () const CV_OVERRIDE |
Public Member Functions inherited from cvflann::NNIndex< Distance > | |
virtual | ~NNIndex () |
virtual int | radiusSearch (const Matrix< ElementType > &query, Matrix< int > &indices, Matrix< DistanceType > &dists, float radius, const SearchParams ¶ms) |
Perform radius search. More... | |
Randomized kd-tree index
Contains the k-d trees and other information for indexing a set of points for nearest-neighbor matching.
typedef Distance::ResultType cvflann::LshIndex< Distance >::DistanceType |
typedef Distance::ElementType cvflann::LshIndex< Distance >::ElementType |
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inline |
Constructor
input_data | dataset with the input features |
params | parameters passed to the LSH algorithm |
d | the distance used |
cvflann::LshIndex< Distance >::LshIndex | ( | const LshIndex< Distance > & | ) |
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inlinevirtual |
Builds the index
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Find set of nearest neighbors to vec. Their indices are stored inside the result object.
Params: result = the result object in which the indices of the nearest-neighbors are stored vec = the vector for which to search the nearest neighbors maxCheck = the maximum number of restarts (in a best-bin-first manner)
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Perform k-nearest neighbor search.
[in] | queries | The query points for which to find the nearest neighbors |
[out] | indices | The indices of the nearest neighbors found |
[out] | dists | Distances to the nearest neighbors found |
[in] | knn | Number of nearest neighbors to return |
[in] | params | Search parameters |
Reimplemented from cvflann::NNIndex< Distance >.
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inlinevirtual |
Loads the index from a stream.
stream | The stream from which the index is loaded |
Implements cvflann::NNIndex< Distance >.
LshIndex& cvflann::LshIndex< Distance >::operator= | ( | const LshIndex< Distance > & | ) |
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inlinevirtual |
Saves the index to a stream.
stream | The stream to save the index to |
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Returns size of index.
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Computes the index memory usage Returns: memory used by the index
Implements cvflann::NNIndex< Distance >.
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inlinevirtual |
Returns the length of an index feature.
Implements cvflann::NNIndex< Distance >.