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* Software License Agreement (BSD License)
*
* Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
* Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
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*
* 1. Redistributions of source code must retain the above copyright
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#ifndef OPENCV_FLANN_ALL_INDICES_H_
#define OPENCV_FLANN_ALL_INDICES_H_
#include "general.h"
#include "nn_index.h"
#include "kdtree_index.h"
#include "kdtree_single_index.h"
#include "kmeans_index.h"
#include "composite_index.h"
#include "linear_index.h"
#include "hierarchical_clustering_index.h"
#include "lsh_index.h"
#include "autotuned_index.h"
namespace cvflann
{
template<typename KDTreeCapability, typename VectorSpace, typename Distance>
struct index_creator
{
static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
{
flann_algorithm_t index_type = get_param<flann_algorithm_t>(params, "algorithm");
NNIndex<Distance>* nnIndex;
switch (index_type) {
case FLANN_INDEX_LINEAR:
nnIndex = new LinearIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_KDTREE_SINGLE:
nnIndex = new KDTreeSingleIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_KDTREE:
nnIndex = new KDTreeIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_KMEANS:
nnIndex = new KMeansIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_COMPOSITE:
nnIndex = new CompositeIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_AUTOTUNED:
nnIndex = new AutotunedIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_HIERARCHICAL:
nnIndex = new HierarchicalClusteringIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_LSH:
nnIndex = new LshIndex<Distance>(dataset, params, distance);
break;
default:
throw FLANNException("Unknown index type");
}
return nnIndex;
}
};
template<typename VectorSpace, typename Distance>
struct index_creator<False,VectorSpace,Distance>
{
static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
{
flann_algorithm_t index_type = get_param<flann_algorithm_t>(params, "algorithm");
NNIndex<Distance>* nnIndex;
switch (index_type) {
case FLANN_INDEX_LINEAR:
nnIndex = new LinearIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_KMEANS:
nnIndex = new KMeansIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_HIERARCHICAL:
nnIndex = new HierarchicalClusteringIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_LSH:
nnIndex = new LshIndex<Distance>(dataset, params, distance);
break;
default:
throw FLANNException("Unknown index type");
}
return nnIndex;
}
};
template<typename Distance>
struct index_creator<False,False,Distance>
{
static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
{
flann_algorithm_t index_type = get_param<flann_algorithm_t>(params, "algorithm");
NNIndex<Distance>* nnIndex;
switch (index_type) {
case FLANN_INDEX_LINEAR:
nnIndex = new LinearIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_HIERARCHICAL:
nnIndex = new HierarchicalClusteringIndex<Distance>(dataset, params, distance);
break;
case FLANN_INDEX_LSH:
nnIndex = new LshIndex<Distance>(dataset, params, distance);
break;
default:
throw FLANNException("Unknown index type");
}
return nnIndex;
}
};
template<typename Distance>
NNIndex<Distance>* create_index_by_type(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
{
return index_creator<typename Distance::is_kdtree_distance,
typename Distance::is_vector_space_distance,
Distance>::create(dataset, params,distance);
}
}
#endif /* OPENCV_FLANN_ALL_INDICES_H_ */
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