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163 lines
6.0 KiB
C++
163 lines
6.0 KiB
C++
/***********************************************************************
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* Software License Agreement (BSD License)
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*
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* Copyright 2008-2009 Marius Muja (mariusm@cs.ubc.ca). All rights reserved.
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* Copyright 2008-2009 David G. Lowe (lowe@cs.ubc.ca). All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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*
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* THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
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* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
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* IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
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* NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
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* THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*************************************************************************/
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#ifndef OPENCV_FLANN_ALL_INDICES_H_
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#define OPENCV_FLANN_ALL_INDICES_H_
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//! @cond IGNORED
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#include "general.h"
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#include "nn_index.h"
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#include "kdtree_index.h"
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#include "kdtree_single_index.h"
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#include "kmeans_index.h"
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#include "composite_index.h"
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#include "linear_index.h"
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#include "hierarchical_clustering_index.h"
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#include "lsh_index.h"
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#include "autotuned_index.h"
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namespace cvflann
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{
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template<typename KDTreeCapability, typename VectorSpace, typename Distance>
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struct index_creator
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{
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static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
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{
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flann_algorithm_t index_type = get_param<flann_algorithm_t>(params, "algorithm");
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NNIndex<Distance>* nnIndex;
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switch (index_type) {
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case FLANN_INDEX_LINEAR:
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nnIndex = new LinearIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_KDTREE_SINGLE:
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nnIndex = new KDTreeSingleIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_KDTREE:
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nnIndex = new KDTreeIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_KMEANS:
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nnIndex = new KMeansIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_COMPOSITE:
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nnIndex = new CompositeIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_AUTOTUNED:
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nnIndex = new AutotunedIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_HIERARCHICAL:
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nnIndex = new HierarchicalClusteringIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_LSH:
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nnIndex = new LshIndex<Distance>(dataset, params, distance);
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break;
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default:
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FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
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}
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return nnIndex;
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}
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};
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template<typename VectorSpace, typename Distance>
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struct index_creator<False,VectorSpace,Distance>
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{
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static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
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{
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flann_algorithm_t index_type = get_param<flann_algorithm_t>(params, "algorithm");
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NNIndex<Distance>* nnIndex;
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switch (index_type) {
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case FLANN_INDEX_LINEAR:
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nnIndex = new LinearIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_KMEANS:
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nnIndex = new KMeansIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_HIERARCHICAL:
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nnIndex = new HierarchicalClusteringIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_LSH:
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nnIndex = new LshIndex<Distance>(dataset, params, distance);
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break;
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default:
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FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
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}
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return nnIndex;
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}
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};
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template<typename Distance>
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struct index_creator<False,False,Distance>
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{
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static NNIndex<Distance>* create(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
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{
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flann_algorithm_t index_type = get_param<flann_algorithm_t>(params, "algorithm");
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NNIndex<Distance>* nnIndex;
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switch (index_type) {
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case FLANN_INDEX_LINEAR:
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nnIndex = new LinearIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_KMEANS:
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nnIndex = new KMeansIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_HIERARCHICAL:
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nnIndex = new HierarchicalClusteringIndex<Distance>(dataset, params, distance);
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break;
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case FLANN_INDEX_LSH:
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nnIndex = new LshIndex<Distance>(dataset, params, distance);
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break;
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default:
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FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
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}
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return nnIndex;
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}
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};
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template<typename Distance>
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NNIndex<Distance>* create_index_by_type(const Matrix<typename Distance::ElementType>& dataset, const IndexParams& params, const Distance& distance)
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{
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return index_creator<typename Distance::is_kdtree_distance,
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typename Distance::is_vector_space_distance,
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Distance>::create(dataset, params,distance);
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}
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}
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//! @endcond
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#endif /* OPENCV_FLANN_ALL_INDICES_H_ */
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