NICE_VisLearning/features/fpfeatures/createFeatures.cpp

#include "VectorFeature.h"
#include "HaarFeature.h"
#include "PixelPairFeature.h"
#include "SemanticFeature.h"
#include "HOGFeature.h"
#include "EOHFeature.h"
#include "SparseVectorFeature.h"
#include "ColorHistogramFeature.h"

#include "createFeatures.h"

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

Feature *OBJREC::createFeatureFromTag ( const Config *conf, const std::string & tag )
{
    if ( tag == "HAARFEATURE" ) { 
	return new HaarFeature ( conf );
    } else if ( tag == "PIXELPAIRFEATURE" ) {
	return new PixelPairFeature ( conf );
    } else if ( ( tag == "HOGFEATURE" )
	    ||  ( tag == "HOGFeature" ) ) {
	return new HOGFeature ( conf );
    } else if ( ( tag == "EOHFEATURE" ) 
	    ||  ( tag == "EOHFeature" ) ){
	return new EOHFeature ( conf );
//    } else if ( tag == "TEXTONFEATURE" ) {
//	return new TextonFeature ( conf );
    } else if ( ( tag == "SEMANTICFEATURE" ) 
	    ||  ( tag == "SemanticFeature" ) ){
	return new SemanticFeature ( conf );
	
    } else if ( ( tag == "ColorHistogramFeature" ) 
	    ||  ( tag == "COLORHISTOGRAMFEATURE" ) ){
	return new ColorHistogramFeature ( conf );

    } else if ( ( tag == "VECTORFEATURE" ) 
	    ||  ( tag == "VectorFeature" ) ){
	return new VectorFeature ( 4711 ); // bogus dimension value only needed for explode

    } else if ( ( tag == "SVECTORFEATURE" ) 
	    ||  ( tag == "SparseVectorFeature" ) ){
	return new SparseVectorFeature ( 4711 ); // bogus dimension value only needed for explode

    } else {
	return NULL;
    }
}

void OBJREC::restoreFeaturePool ( FeaturePool & pool, const Config *conf, istream & is, int format)
{
    assert ( conf != NULL );
    while ( !is.eof() )
    {
		double weight = 1.0;
		if ( !(is >> weight) ) break;

		std::string feature_tag;
		if ( !(is >> feature_tag) ) break;
		Feature *f = createFeatureFromTag ( conf, feature_tag );
		if ( f == NULL ) {
			fprintf (stderr, "Unknown feature description: %s\n", feature_tag.c_str() );
			exit(-1);
		}

		f->restore ( is, format );

		pool.push_back ( pair<double, Feature *> ( weight, f ) );
    }
}