NICE_SemSeg/semseg/SemanticSegmentation.cpp

/** 
* @file SemanticSegmentation.cpp
* @brief abstract interface for semantic segmentation algorithms
* @author Erik Rodner
* @date 03/19/2009

*/
#include <iostream>

#include "SemanticSegmentation.h"
#include "objrec/baselib/Preprocess.h"
#include "objrec/baselib/Globals.h"

using namespace OBJREC;

using namespace std;

using namespace NICE;
void SemanticSegmentation::convertLSetToSparseExamples(Examples &examples, LabeledSetVector &lvec)
{
	#ifdef DEBUG_PRINTS
	cout << "SemSegRegionBased::convertLSetToExamples starts" << endl;
	#endif
	for( map< int, vector<NICE::Vector *> >::iterator iter = lvec.begin(); iter != lvec.end(); ++iter ) 
	{
		for(int j = 0; j < (int)iter->second.size(); j++)
		{
			Vector &tmp = *(iter->second[j]);
			int dim = tmp.size();
			SparseVector *vec = new SparseVector(dim);
			for(int j = 0; j < dim; j++)
			{
				if(tmp[j] != 0.0)
				{
					(*vec)[j] = tmp[j];
				}
			}
			Example ex;
			ex.svec = vec;
			examples.push_back(pair<int, Example> ( iter->first, ex));
		}
	}	
	lvec.clear();
	#ifdef DEBUG_PRINTS
	cout << "SemSegRegionBased::convertLSetToExamples finished" << endl;
	#endif
}

void SemanticSegmentation::convertLSetToExamples(Examples &examples, LabeledSetVector &lvec)
{
	#ifdef DEBUG_PRINTS
	cout << "SemSegRegionBased::convertLSetToExamples starts" << endl;
	#endif
	for( map< int, vector<NICE::Vector *> >::iterator iter = lvec.begin(); iter != lvec.end(); ++iter ) 
	{
		for(int j = 0; j < iter->second.size(); j++)
		{
			NICE::Vector *vec = new NICE::Vector(*(iter->second[j]));
			Example ex(vec);
			examples.push_back(pair<int, Example> ( iter->first, ex));
		}
	}	
	lvec.clear();
	#ifdef DEBUG_PRINTS
	cout << "SemSegRegionBased::convertLSetToExamples finished" << endl;
	#endif
}

void SemanticSegmentation::convertExamplesToLSet(Examples &examples, LabeledSetVector &lvec)
{
	#ifdef DEBUG_PRINTS
	cout << "SemSegRegionBased::convertExamplesToLSet starts" << endl;
	#endif
	lvec.clear();
	for(int i = 0; i < (int)examples.size(); i++)
	{
		if(examples[i].second.vec != NULL)
		{
			lvec.add(examples[i].first, *examples[i].second.vec);
			delete examples[i].second.vec;
			examples[i].second.vec = NULL;
		}
		else
		{
			if(examples[i].second.svec != NULL)
			{
				throw("Transform SVEC to VEC not yet implemented");
			}
			else
			{
				throw("no features for LabeledSet");
			}
		}

	}
	examples.clear();  
	#ifdef DEBUG_PRINTS
	cout << "SemSegRegionBased::convertExamplesToLSet finished" << endl;
	#endif
}

void SemanticSegmentation::convertExamplesToVVector(VVector &feats,Examples &examples, vector<int> &label)
{
	#ifdef DEBUG_PRINTS
	cout << "SemSegRegionBased::convertExamplesToVVector starts" << endl;
	#endif
	feats.clear();
	label.clear();
	for(int i = 0; i < (int)examples.size(); i++)
	{
		label.push_back(examples[i].first);
		feats.push_back(*examples[i].second.vec);
		delete examples[i].second.vec;
		examples[i].second.vec = NULL;
	}
	examples.clear();
	#ifdef DEBUG_PRINTS
	cout << "SemSegRegionBased::convertExamplesToVVector finished" << endl;
	#endif
}

void SemanticSegmentation::convertVVectorToExamples(VVector &feats,Examples &examples, vector<int> &label)
{
	#ifdef DEBUG_PRINTS
	cout << "SemSegRegionBased::convertVVectorToExamples starts" << endl;
	#endif
	for(int i = 0; i < (int)feats.size(); i++)
	{
		NICE::Vector *v = new NICE::Vector(feats[i]);
		Example ex(v);
		ex.position = 0; //TODO: hier mal was besseres überlegen, damit Klassifikator wieder Bildspezifisch lernt
		examples.push_back (pair<int, Example> ( label[i], ex));
		feats[i].clear();
	}
	feats.clear();
	label.clear();
	#ifdef DEBUG_PRINTS
	cout << "SemSegRegionBased::convertVVectorToExamples finished" << endl;
	#endif
}

SemanticSegmentation::SemanticSegmentation( const Config *conf,
					    const ClassNames *classNames )
{
    this->classNames = classNames;

    Preprocess::Init ( conf );

    std::string imagetype_s = conf->gS("main", "imagetype", "rgb");

    if (imagetype_s == "rgb")
          imagetype = IMAGETYPE_RGB;
    else if ( imagetype_s == "gray" )
          imagetype = IMAGETYPE_GRAY; 
    else {
	fprintf (stderr, "SemanticSegmentation:: unknown image type option\n");
	exit(-1);
    }
}

SemanticSegmentation::~SemanticSegmentation()
{
}

void SemanticSegmentation::semanticseg ( const std::string & filename,
			   NICE::Image & segresult,
			   GenericImage<double> & probabilities)
{
    Globals::setCurrentImgFN(filename);
    CachedExample *ce;
    if ( imagetype == IMAGETYPE_RGB ) 
    {
	NICE::ColorImage img = Preprocess::ReadImgAdvRGB ( filename );
	ce = new CachedExample ( img );
    } else {

	NICE::Image img = Preprocess::ReadImgAdv ( filename );
	ce = new CachedExample ( img );
    }
    fprintf (stderr, "Starting Semantic Segmentation !\n");
    semanticseg ( ce, segresult, probabilities);
    delete ce;
}