opencv/apps/sft/include/sft/octave.hpp
2013-02-01 14:34:38 +04:00

119 lines
3.4 KiB
C++

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#ifndef __SFT_OCTAVE_HPP__
#define __SFT_OCTAVE_HPP__
#include <opencv2/ml/ml.hpp>
#include <sft/common.hpp>
namespace sft
{
class Dataset
{
public:
Dataset(const sft::string& path, const int octave);
private:
svector pos;
svector neg;
};
struct ICF
{
ICF(int x, int y, int w, int h, int ch) : bb(cv::Rect(x, y, w, h)), channel(ch) {}
bool operator ==(ICF b)
{
return bb == b.bb && channel == b.channel;
}
bool operator !=(ICF b)
{
return bb != b.bb || channel != b.channel;
}
private:
cv::Rect bb;
int channel;
};
class FeaturePool
{
public:
FeaturePool(cv::Size model, int nfeatures);
~FeaturePool();
private:
void fill(int desired);
cv::Size model;
int nfeatures;
Mat integrals;
Mat responces;
Icfvector pool;
static const unsigned int seed = 0;
enum { N_CHANNELS = 10 };
};
// used for traning single octave scale
class Octave : cv::Boost
{
public:
Octave(int logScale);
virtual ~Octave();
virtual bool train( const cv::Mat& trainData, const cv::Mat& responses, const cv::Mat& varIdx=cv::Mat(),
const cv::Mat& sampleIdx=cv::Mat(), const cv::Mat& varType=cv::Mat(), const cv::Mat& missingDataMask=cv::Mat());
int logScale;
private:
CvBoostParams params;
};
}
#endif