/***********************************************************************
 * 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.
 *
 * THE BSD LICENSE
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#ifndef NNINDEX_H
#define NNINDEX_H

#include "flann.hpp"
#include "constants.h"
#include "common.h"
#include "matrix.h"

#include <string>
#include <string.h>

using namespace std;

namespace cvflann
{

class ResultSet;

/**
* Nearest-neighbor index base class
*/
class NNIndex
{
public:

	virtual ~NNIndex() {};

	/**
	Method responsible with building the index.
	*/
	virtual void buildIndex() = 0;

	/**
	Saves the index to a stream
	*/
	virtual void saveIndex(FILE* stream) = 0;

	/**
	Loads the index from a stream
	*/
	virtual void loadIndex(FILE* stream) = 0;

	/**
	Method that searches for nearest-neighbors
	*/
	virtual void findNeighbors(ResultSet& result, const float* vec, const SearchParams& searchParams) = 0;

	/**
	Number of features in this index.
	*/
	virtual int size() const = 0;

	/**
	The length of each vector in this index.
	*/
	virtual int veclen() const = 0;

	/**
	The amount of memory (in bytes) this index uses.
	*/
	virtual int usedMemory() const = 0;

	/**
	* Algorithm name
	*/
	virtual flann_algorithm_t getType() const = 0;

	/**
	Estimates the search parameters required in order to get a certain precision.
	If testset is not given it uses cross-validation.
	*/
//	virtual Params estimateSearchParams(float precision, Matrix<float>* testset = NULL) = 0;

};


}

#endif //NNINDEX_H