text: /***********************************************************************
   * 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.
   *
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   * are met:
   *
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   * 2. Redistributions in binary form must reproduce the above copyright
   *    notice, this list of conditions and the following disclaimer in the
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   *
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   * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
   *************************************************************************/
  
  
  #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_ */
  