sustaining_gazes/lib/3rdParty/OpenCV3.1/include/opencv2/flann/miniflann.hpp

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#ifndef _OPENCV_MINIFLANN_HPP_
#define _OPENCV_MINIFLANN_HPP_

#include "opencv2/core.hpp"
#include "opencv2/flann/defines.h"

namespace cv
{

namespace flann
{

struct CV_EXPORTS IndexParams
{
    IndexParams();
    ~IndexParams();

    String getString(const String& key, const String& defaultVal=String()) const;
    int getInt(const String& key, int defaultVal=-1) const;
    double getDouble(const String& key, double defaultVal=-1) const;

    void setString(const String& key, const String& value);
    void setInt(const String& key, int value);
    void setDouble(const String& key, double value);
    void setFloat(const String& key, float value);
    void setBool(const String& key, bool value);
    void setAlgorithm(int value);

    void getAll(std::vector<String>& names,
                std::vector<int>& types,
                std::vector<String>& strValues,
                std::vector<double>& numValues) const;

    void* params;
};

struct CV_EXPORTS KDTreeIndexParams : public IndexParams
{
    KDTreeIndexParams(int trees=4);
};

struct CV_EXPORTS LinearIndexParams : public IndexParams
{
    LinearIndexParams();
};

struct CV_EXPORTS CompositeIndexParams : public IndexParams
{
    CompositeIndexParams(int trees = 4, int branching = 32, int iterations = 11,
                         cvflann::flann_centers_init_t centers_init = cvflann::FLANN_CENTERS_RANDOM, float cb_index = 0.2f );
};

struct CV_EXPORTS AutotunedIndexParams : public IndexParams
{
    AutotunedIndexParams(float target_precision = 0.8f, float build_weight = 0.01f,
                         float memory_weight = 0, float sample_fraction = 0.1f);
};

struct CV_EXPORTS HierarchicalClusteringIndexParams : public IndexParams
{
    HierarchicalClusteringIndexParams(int branching = 32,
                      cvflann::flann_centers_init_t centers_init = cvflann::FLANN_CENTERS_RANDOM, int trees = 4, int leaf_size = 100 );
};

struct CV_EXPORTS KMeansIndexParams : public IndexParams
{
    KMeansIndexParams(int branching = 32, int iterations = 11,
                      cvflann::flann_centers_init_t centers_init = cvflann::FLANN_CENTERS_RANDOM, float cb_index = 0.2f );
};

struct CV_EXPORTS LshIndexParams : public IndexParams
{
    LshIndexParams(int table_number, int key_size, int multi_probe_level);
};

struct CV_EXPORTS SavedIndexParams : public IndexParams
{
    SavedIndexParams(const String& filename);
};

struct CV_EXPORTS SearchParams : public IndexParams
{
    SearchParams( int checks = 32, float eps = 0, bool sorted = true );
};

class CV_EXPORTS_W Index
{
public:
    CV_WRAP Index();
    CV_WRAP Index(InputArray features, const IndexParams& params, cvflann::flann_distance_t distType=cvflann::FLANN_DIST_L2);
    virtual ~Index();

    CV_WRAP virtual void build(InputArray features, const IndexParams& params, cvflann::flann_distance_t distType=cvflann::FLANN_DIST_L2);
    CV_WRAP virtual void knnSearch(InputArray query, OutputArray indices,
                   OutputArray dists, int knn, const SearchParams& params=SearchParams());

    CV_WRAP virtual int radiusSearch(InputArray query, OutputArray indices,
                             OutputArray dists, double radius, int maxResults,
                             const SearchParams& params=SearchParams());

    CV_WRAP virtual void save(const String& filename) const;
    CV_WRAP virtual bool load(InputArray features, const String& filename);
    CV_WRAP virtual void release();
    CV_WRAP cvflann::flann_distance_t getDistance() const;
    CV_WRAP cvflann::flann_algorithm_t getAlgorithm() const;

protected:
    cvflann::flann_distance_t distType;
    cvflann::flann_algorithm_t algo;
    int featureType;
    void* index;
};

} } // namespace cv::flann

#endif