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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#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
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