/**
* @file FeatureLearningGeneric.cpp
* @brief abstract interface for feature learning algorithms
* @author Alexander Freytag
* @date 16-04-2013 (dd-mm-yyyy)

*/
#include <iostream>

#include <vislearning/baselib/Preprocess.h>

#include "FeatureLearningGeneric.h"

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

FeatureLearningGeneric::FeatureLearningGeneric ( const Config *_conf, const std::string & _section )
{
  this->section = _section;  
  this->conf = _conf;  
  
  this->cacheInitialCodebook = this->conf->gS(this->section, "cacheInitialCodebook", "");
  this-> b_loadInitialCodebook = this->conf->gB(this->section, "loadInitialCodebook", "");
  this-> b_saveInitialCodebook = this->conf->gB(this->section, "saveInitialCodebook", "");  
  
  this->b_evaluationWhileFeatureLearning = this->conf->gB( this->section, "evaluationWhileFeatureLearning", false );
  
  Preprocess::Init ( _conf );
}

FeatureLearningGeneric::~FeatureLearningGeneric()
{
}

void FeatureLearningGeneric::learnNewFeatures ( const std::string & _filename )
{
//   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" );
//   learnNewFeatures ( ce );
//   delete ce;
}