include/opencv2/flann/linear_index.h

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#ifndef OPENCV_FLANN_LINEAR_INDEX_H_
#define OPENCV_FLANN_LINEAR_INDEX_H_

#include "general.h"
#include "nn_index.h"

namespace cvflann
{

struct LinearIndexParams : public IndexParams
{
    LinearIndexParams()
    {
        (* this)["algorithm"] = FLANN_INDEX_LINEAR;
    }
};

template <typename Distance>
class LinearIndex : public NNIndex<Distance>
{
public:

    typedef typename Distance::ElementType ElementType;
    typedef typename Distance::ResultType DistanceType;


    LinearIndex(const Matrix<ElementType>& inputData, const IndexParams& params = LinearIndexParams(),
                Distance d = Distance()) :
        dataset_(inputData), index_params_(params), distance_(d)
    {
    }

    LinearIndex(const LinearIndex&);
    LinearIndex& operator=(const LinearIndex&);

    flann_algorithm_t getType() const
    {
        return FLANN_INDEX_LINEAR;
    }


    size_t size() const
    {
        return dataset_.rows;
    }

    size_t veclen() const
    {
        return dataset_.cols;
    }


    int usedMemory() const
    {
        return 0;
    }

    void buildIndex()
    {
        /* nothing to do here for linear search */
    }

    void saveIndex(FILE*)
    {
        /* nothing to do here for linear search */
    }


    void loadIndex(FILE*)
    {
        /* nothing to do here for linear search */

        index_params_["algorithm"] = getType();
    }

    void findNeighbors(ResultSet<DistanceType>& resultSet, const ElementType* vec, const SearchParams& /*searchParams*/)
    {
        ElementType* data = dataset_.data;
        for (size_t i = 0; i < dataset_.rows; ++i, data += dataset_.cols) {
            DistanceType dist = distance_(data, vec, dataset_.cols);
            resultSet.addPoint(dist, (int)i);
        }
    }

    IndexParams getParameters() const
    {
        return index_params_;
    }

private:
    const Matrix<ElementType> dataset_;
    IndexParams index_params_;
    Distance distance_;

};

}

#endif // OPENCV_FLANN_LINEAR_INDEX_H_