/********************************************************************
**                Image Component Library (ICL)                    **
**                                                                 **
** Copyright (C) 2006-2010 CITEC, University of Bielefeld          **
**                         Neuroinformatics Group                  **
** Website: www.iclcv.org and                                      **
**          http://opensource.cit-ec.de/projects/icl               **
**                                                                 **
** File   : ICLAlgorithms/examples/template-matching-test.cpp      **
** Module : ICLAlgorithms                                          **
** Authors: Christof Elbrechter                                    **
**                                                                 **
**                                                                 **
** Commercial License                                              **
** ICL can be used commercially, please refer to our website       **
** www.iclcv.org for more details.                                 **
**                                                                 **
** GNU General Public License Usage                                **
** Alternatively, this file may be used under the terms of the     **
** GNU General Public License version 3.0 as published by the      **
** Free Software Foundation and appearing in the file LICENSE.GPL  **
** included in the packaging of this file.  Please review the      **
** following information to ensure the GNU General Public License  **
** version 3.0 requirements will be met:                           **
** http://www.gnu.org/copyleft/gpl.html.                           **
**                                                                 **
** The development of this software was supported by the           **
** Excellence Cluster EXC 277 Cognitive Interaction Technology.    **
** The Excellence Cluster EXC 277 is a grant of the Deutsche       **
** Forschungsgemeinschaft (DFG) in the context of the German       **
** Excellence Initiative.                                          **
**                                                                 **
*********************************************************************/

#include <ICLAlgorithms/UsefulFunctions.h>
#include <ICLQuick/Quick.h>
#include <ICLUtils/ProgArg.h>
#include <ICLUtils/StringUtils.h>

int main(int n, char **ppc){
  //  640x480@(5,10)
  paex
  ("-roi|-r","specify template roi like (X,Y)WIDTHxHEIGHT")
  ("-significance-level|-s","specify significance level range [0,1]");
  painit(n,ppc,"-roi(Rect=(200,400)100x120) -s(float=0.9)");
  
  Img8u image = cvt8u(create("parrot"));
  image.scale(Size(640,480));
  
  Rect roi = pa("-roi");
  roi &= image.getImageRect();
  
  image.setROI(roi);
  Img8u templ = cvt8u(copyroi(cvt(image)));
  image.setFullROI();
  

  float s = pa("-s");
  printf("using significance: %f \n",s);
  Img8u *buffer = new Img8u;
  RegionDetector rd;
  vector<Rect> rs = iclMatchTemplate(image,templ,s,buffer,false,&rd);
  std::cout << "Estimating Time for 100 Iterations ..." << std::endl;
  tic();
  for(int i=0;i<100;i++){
    rs = iclMatchTemplate(image,templ,s,buffer,false,&rd);
  }
  toc();
  
  
  ImgQ resultImage = cvt(image);
  
  color(255,255,255);
  for(unsigned int i=0;i<rs.size();++i){
    rect(resultImage,rs[i]);
  }
  
  show(label(resultImage,"results"));

  return 0;
}