NICE_SemSeg/classifier/FPCnone.cpp

#include "objrec-froehlichexp/classifier/FPCnone.h"

#include <iostream>

using namespace OBJREC;
using namespace std;
using namespace NICE;

FPCnone::FPCnone ()
{
}

FPCnone::FPCnone( const Config *_conf, string section )
{
	conf = _conf;
}

FPCnone::~FPCnone()
{
	//clean up
}

ClassificationResult FPCnone::classify ( Example & pce )
{
	FullVector overall_distribution(maxClassNo+1);
	overall_distribution[maxClassNo] = 0.0;

	double maxp = -numeric_limits<double>::max();
	int classno = 0;
	
	double sum  = 0.0;
		
	for(int i = 0; i < maxClassNo; i++)
	{
		overall_distribution[i] = (*pce.vec)[i];
		
		sum += overall_distribution[i];

		if(maxp < overall_distribution[i])
		{
			classno = i;
			maxp = overall_distribution[i];
		}
	}

	/*for(int i = 0; i < maxClassNo; i++)
	{
		overall_distribution[i] /= sum;
	}*/
	
	cout << "Klasse: " << classno << " prob: " << overall_distribution[classno] << endl;

	return ClassificationResult ( classno, overall_distribution );
}

void FPCnone::train ( FeaturePool & _fp, Examples & examples )
{
	fp = FeaturePool(_fp);
}


void FPCnone::restore (istream & is, int format)
{
}

void FPCnone::store (ostream & os, int format) const
{
}

void FPCnone::clear ()
{
}

FeaturePoolClassifier *FPCnone::clone () const
{
	FPCnone *o = new FPCnone ( conf, "non" );

	o->maxClassNo = maxClassNo;

	return o;
}

void FPCnone::setComplexity ( int size )
{
	cerr << "FPCnone: no complexity to set" << endl;
}