/**
* @file SemSegTools.h
* @brief tools for semantic segmentation
* @author Erik Rodner
* @date 03/19/2009

*/
#ifndef SEMSEGTOOLSINCLUDE
#define SEMSEGTOOLSINCLUDE

#include "core/basics/Config.h"
#include "vislearning/cbaselib/MultiDataset.h"
#include "vislearning/cbaselib/Example.h"
#include "vislearning/cbaselib/CachedExample.h"


namespace OBJREC
{

/** tools for semantic segmentation */
class SemSegTools
{

  protected:

  public:

    /** collect pixel-wise training examples
        from a set of images
        @param conf includes settings about grid size etc.
        @param section section of the config
        @param train set of training images with localization information
        @param cn classNames object
        @param examples resulting pixel-wise examples
        @param imgexamples image based caching structure referenced by pixel-wise examples
    */
    static void collectTrainingExamples (
      const NICE::Config * conf,
      const std::string & section,
      const LabeledSet & train,
      const ClassNames & cn,
      Examples & examples,
      std::vector<CachedExample *> & imgexamples );

};


} // namespace

#endif