NICE_SemSeg/progs/convertFeatures2.cpp

/** 
* @file testClassifier.cpp
* @brief main program for classifier evaluation
* @author Erik Rodner
* @date 2007-10-12
*/

#include <fstream>
#include <iostream>

#include <vislearning/cbaselib/MultiDataset.h>
#include <objrec/iclassifier/icgeneric/CSGeneric.h>
#include <vislearning/cbaselib/ClassificationResults.h>
#include <objrec/iclassifier/codebook/MutualInformation.h>

#include "vislearning/classifier/classifierbase/FeaturePoolClassifier.h"
#include <vislearning/classifier/fpclassifier/randomforest/FPCRandomForestTransfer.h>
#include <vislearning/classifier/classifierinterfaces/VCFeaturePool.h>

#include "core/basics/Config.h"
#include <vislearning/baselib/Preprocess.h>
#include <core/basics/StringTools.h>

#undef DEBUG

using namespace OBJREC;

using namespace NICE;
using namespace std;

int main (int argc, char **argv)
{
	std::set_terminate(__gnu_cxx::__verbose_terminate_handler);

	Config conf ( argc, argv );
	string fn = conf.gS("main", "input", "train.vec");
	int format = conf.gI("main", "format", 0 );
	string outfn = conf.gS("main", "output", "out.vec");
	int dim = conf.gI("main", "dim", 0);
	
	ifstream fin(fn.c_str(), ifstream::in);

	LabeledSetVector test;
	vector<double> maxv(dim,numeric_limits<double>::min());
	vector<double> minv(dim,numeric_limits<double>::max());
	
	while(fin.good())
	{
		Vector tmp(dim);
		for(int i = 0; i < dim; i++)
		{
			fin >> tmp[i];
			maxv[i] = std::max(maxv[i],tmp[i]);
			minv[i] = std::min(minv[i],tmp[i]);
		}
		int label;
		fin >> label;
		label--;
		if(label > 5)
			label--;
		test.add(label, tmp);
	}
	
	for(int i = 0; i < dim; i++)
	{
		maxv[i] -= minv[i];
	}
	
	for( map< int, vector<NICE::Vector *> >::iterator iter = test.begin(); iter != test.end(); ++iter ) 
	{
		for(int j = 0; j < iter->second.size(); j++)
		{
			for(int i = 0; i < iter->second[j]->size(); i++)
			{
				(*(iter->second[j]))[i] = ((*(iter->second[j]))[i] - minv[i]) / maxv[i];
			}
		}
	}
		
	test.save(outfn);
	fin.close();

	
    return 0;
}