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//                           License Agreement
//                For Open Source Computer Vision Library
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#include "precomp.hpp"

namespace cv
{
	

void write(FileStorage& fs, const string& objname, const vector<KeyPoint>& keypoints)
{
    WriteStructContext ws(fs, objname, CV_NODE_SEQ + CV_NODE_FLOW);
    
    int i, npoints = (int)keypoints.size();
    for( i = 0; i < npoints; i++ )
    {
        const KeyPoint& kpt = keypoints[i];
        write(fs, kpt.pt.x);
        write(fs, kpt.pt.y);
        write(fs, kpt.size);
        write(fs, kpt.angle);
        write(fs, kpt.response);
        write(fs, kpt.octave);
    }
}


void read(const FileNode& node, vector<KeyPoint>& keypoints)
{
    keypoints.resize(0);
    FileNodeIterator it = node.begin(), it_end = node.end();
    for( ; it != it_end; )
    {
        KeyPoint kpt;
        it >> kpt.pt.x >> kpt.pt.y >> kpt.size >> kpt.angle >> kpt.response >> kpt.octave;
        keypoints.push_back(kpt);
    }
}
    

void KeyPoint::convert(const std::vector<KeyPoint>& u, std::vector<Point2f>& v)
{
    size_t i, sz = u.size();
    v.resize(sz);
    
    for( i = 0; i < sz; i++ )
        v[i] = u[i].pt;
}
    
void KeyPoint::convert( const std::vector<Point2f>& u, std::vector<KeyPoint>& v,
                        float size, float response, int octave, int class_id )
{
    size_t i, sz = u.size();
    v.resize(sz);
    
    for( i = 0; i < sz; i++ )
        v[i] = KeyPoint(u[i], size, -1, response, octave, class_id);
}

}
