test-SuperPixel.C

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/*!@file Gist/test-SuperPixel.C testing SuperPixel segmentation algorithm */
// //////////////////////////////////////////////////////////////////// //
// The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2001 by the //
// University of Southern California (USC) and the iLab at USC.         //
// See http://iLab.usc.edu for information about this project.          //
// //////////////////////////////////////////////////////////////////// //
// Major portions of the iLab Neuromorphic Vision Toolkit are protected //
// under the U.S. patent ``Computation of Intrinsic Perceptual Saliency //
// in Visual Environments, and Applications'' by Christof Koch and      //
// Laurent Itti, California Institute of Technology, 2001 (patent       //
// pending; application number 09/912,225 filed July 23, 2001; see      //
// http://pair.uspto.gov/cgi-bin/final/home.pl for current status).     //
// //////////////////////////////////////////////////////////////////// //
// This file is part of the iLab Neuromorphic Vision C++ Toolkit.       //
//                                                                      //
// The iLab Neuromorphic Vision C++ Toolkit is free software; you can   //
// redistribute it and/or modify it under the terms of the GNU General  //
// Public License as published by the Free Software Foundation; either  //
// version 2 of the License, or (at your option) any later version.     //
//                                                                      //
// The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope  //
// that it will be useful, but WITHOUT ANY WARRANTY; without even the   //
// implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR      //
// PURPOSE.  See the GNU General Public License for more details.       //
//                                                                      //
// You should have received a copy of the GNU General Public License    //
// along with the iLab Neuromorphic Vision C++ Toolkit; if not, write   //
// to the Free Software Foundation, Inc., 59 Temple Place, Suite 330,   //
// Boston, MA 02111-1307 USA.                                           //
// //////////////////////////////////////////////////////////////////// //
//
// Primary maintainer for this file: Christian Siagian <siagian@usc.edu>
// $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Gist/test-SuperPixel.C $
// $Id: test-SuperPixel.C 14762 2011-05-03 01:13:16Z siagian $
//
//////////////////////////////////////////////////////////////////////////
//
// Implementation of the segmentation algorithm described in:
//
// Efficient Graph-Based Image Segmentation
// Pedro F. Felzenszwalb and Daniel P. Huttenlocher
// International Journal of Computer Vision, 59(2) September 2004.
// Copyright (C) 2006 Pedro Felzenszwalb


#include "Component/ModelManager.H"
#include "Media/FrameSeries.H"
#include "Transport/FrameIstream.H"

#include "Image/Image.H"
#include "Image/Pixels.H"
#include "Raster/Raster.H"
#include "Image/CutPaste.H"     // for inplacePaste()
#include "Image/LowPass.H"
#include "Image/ShapeOps.H"

// #include <cstdio>
// #include <cstdlib>
// #include <image.h>
// #include <misc.h>
// #include <pnmfile.h>

#include "Gist/SuperPixel.H"

#include "Util/Timer.H"

int main(int argc, char **argv)
{

  // instantiate a model manager:
  ModelManager manager("test SuperPixel");

  // Instantiate our various ModelComponents:

  nub::soft_ref<InputFrameSeries> ifs(new InputFrameSeries(manager));
  manager.addSubComponent(ifs);

  //nub::ref<GraphBasedSegmenter> sps(new SuperPixelSegmenter(manager));
  //manager.addSubComponent(sps);

  nub::soft_ref<OutputFrameSeries> ofs(new OutputFrameSeries(manager));
  manager.addSubComponent(ofs);

  manager.exportOptions(MC_RECURSE);

  // Parse command-line:
  if (manager.parseCommandLine(argc, argv,
                               "[save_output_to_file] "
                               "[sigma] [k] [min_size]",
                               0, 4)
      == false) return(1);

  // get the operation mode
  bool saveOutput = false;
  std::string outFilename;
  if(manager.numExtraArgs() >  0)
    {
      saveOutput = true;
      outFilename = manager.getExtraArg(0);
      LINFO("save to: %s", outFilename.c_str());
    }

  // default parameters for the Superpixel segmentation
  float sigma = .5; uint k = 500; uint minSize = 20;
  if(manager.numExtraArgs() > 1)
    sigma = manager.getExtraArgAs<float>(1);
  if(manager.numExtraArgs() > 2)
    k = manager.getExtraArgAs<uint>(2);
  if(manager.numExtraArgs() > 3)
    minSize = manager.getExtraArgAs<uint>(3);

  // let's do it!
  manager.start();

   // bool keepGoing = true; uint index = 0;
   // while(keepGoing)
   //   {

  Timer timer(1000000); float time;
      
  ifs->updateNext();
  Image<PixRGB<byte> > ima = ifs->readRGB();
  if(!ima.initialized()) {}// keepGoing = false; }
  else
    {
      timer.reset();
      int num_ccs;
      Image<PixRGB<byte> > output =
        segment_image(ima, sigma, k, minSize, num_ccs);
          
      time = timer.get()/1000.0F;
      LINFO("time: %f", time);
      
      Image<PixRGB<byte> >
        dispIma(ima.getWidth()*2, ima.getHeight(), NO_INIT);
      inplacePaste(dispIma, ima, Point2D<int>(0, 0));
      inplacePaste(dispIma, output, Point2D<int>(ima.getWidth(), 0));
//       inplacePaste(dispIma, output2, Point2D<int>(2*ima.getWidth(), 0));
      
      ofs->writeRGB(dispIma, "SuperPixel Segmentation");
      ofs->updateNext();
      Raster::waitForKey();
      
      if(saveOutput)
        Raster::WriteRGB(output, outFilename);
      
    }
//     index++;
//   }


  return 0;
}

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