Question

I have some problems with opencv flann::Index –

I’m creating index

    Mat samples = Mat::zeros(vfv_net_quie.size(),24,CV_32F);
        for (int i =0; i < vfv_net_quie.size();i++)
        {
           for (int j = 0;j<24;j++)
           {
              samples.at<float>(i,j)=(float)vfv_net_quie[i].vfv[j];
           }
        }
    cv::flann::Index flann_index(
            samples,
            cv::flann::KDTreeIndexParams(4),
            cvflann::FLANN_DIST_EUCLIDEAN
               );
    flann_index.save("c:\\index.fln");

A fter that I’m tryin to load it and find nearest neiborhoods

cv::flann::Index flann_index(Mat(),
    cv::flann::SavedIndexParams("c:\\index.fln"),
    cvflann::FLANN_DIST_EUCLIDEAN
    );

cv::Mat resps(vfv_reg_quie.size(), K, CV_32F);
cv::Mat nresps(vfv_reg_quie.size(), K, CV_32S);
cv::Mat dists(vfv_reg_quie.size(), K, CV_32F);

flann_index.knnSearch(sample,nresps,dists,K,cv::flann::SearchParams(64));

And have access violation in miniflann.cpp in line

((IndexType*)index)->knnSearch(_query, _indices, _dists, knn,
                          (const ::cvflann::SearchParams&)get_params(params));

Please help

Answer 1

You should not load the flann-file into a Mat(), as it is the place where the index is stored. It is a temporary object destroyed after the constructor was called. That’s why the index isn’t pointing anywhere useful when you call knnSearch().

I tried following:

cv::Mat indexMat;
cv::flann::Index flann_index(
    indexMat,
    cv::flann::SavedIndexParams("c:\\index.fln"),
    cvflann::FLANN_DIST_EUCLIDEAN
);

resulting in:

Reading FLANN index error: the saved data size (100, 64) or type (5) is different from the passed one (0, 0), 0

which means, that the matrix has to be initialized with the correct dimensions (seems very stupid to me, as I don’t necessarily know, how many elements are stored in my index).

cv::Mat indexMat(samples.size(), CV_32FC1);
cv::flann::Index flann_index(
    indexMat,
    cv::flann::SavedIndexParams("c:\\index.fln"),
    cvflann::FLANN_DIST_EUCLIDEAN
);

does the trick.