00001 /*!@file Learn/test-SOFM.C test the SOFM 00002 */ 00003 00004 // //////////////////////////////////////////////////////////////////// // 00005 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2001 by the // 00006 // University of Southern California (USC) and the iLab at USC. // 00007 // See http://iLab.usc.edu for information about this project. // 00008 // //////////////////////////////////////////////////////////////////// // 00009 // Major portions of the iLab Neuromorphic Vision Toolkit are protected // 00010 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency // 00011 // in Visual Environments, and Applications'' by Christof Koch and // 00012 // Laurent Itti, California Institute of Technology, 2001 (patent // 00013 // pending; application number 09/912,225 filed July 23, 2001; see // 00014 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status). // 00015 // //////////////////////////////////////////////////////////////////// // 00016 // This file is part of the iLab Neuromorphic Vision C++ Toolkit. // 00017 // // 00018 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can // 00019 // redistribute it and/or modify it under the terms of the GNU General // 00020 // Public License as published by the Free Software Foundation; either // 00021 // version 2 of the License, or (at your option) any later version. // 00022 // // 00023 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope // 00024 // that it will be useful, but WITHOUT ANY WARRANTY; without even the // 00025 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR // 00026 // PURPOSE. See the GNU General Public License for more details. // 00027 // // 00028 // You should have received a copy of the GNU General Public License // 00029 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write // 00030 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, // 00031 // Boston, MA 02111-1307 USA. // 00032 // //////////////////////////////////////////////////////////////////// // 00033 // 00034 // Primary maintainer for this file: Lior Elazary <elazary@usc.edu> 00035 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Learn/test-SOFM.C $ 00036 // $Id: test-SOFM.C 12627 2010-01-22 02:00:51Z lior $ 00037 // 00038 00039 #include "Component/ModelManager.H" 00040 #include "Image/Image.H" 00041 #include "Image/Pixels.H" 00042 #include "Image/ColorOps.H" 00043 #include "Image/ShapeOps.H" 00044 #include "Image/MathOps.H" 00045 #include "Image/CutPaste.H" 00046 #include "Image/DrawOps.H" 00047 #include "Image/Transforms.H" 00048 #include "Media/FrameSeries.H" 00049 #include "Raster/Raster.H" 00050 #include "Util/log.H" 00051 #include "Util/MathFunctions.H" 00052 #include "Learn/SOFM.H" 00053 #include "GUI/DebugWin.H" 00054 00055 00056 int main(int argc, char** argv) 00057 { 00058 00059 MYLOGVERB = LOG_INFO; // suppress debug messages 00060 00061 // Instantiate a ModelManager: 00062 ModelManager manager("Test SOFM"); 00063 00064 nub::ref<OutputFrameSeries> ofs(new OutputFrameSeries(manager)); 00065 manager.addSubComponent(ofs); 00066 00067 // Parse command-line: 00068 if (manager.parseCommandLine((const int)argc, (const char**)argv, "", 0, 0) == false) 00069 return(1); 00070 00071 SOFM sofm("sofm.net", 3, 256, 256); 00072 sofm.RandomWeights(); 00073 // sofm.ZeroWeights(); 00074 00075 // main loop: 00076 int ii=0; 00077 while(1) { 00078 00079 //generate a random rgb value 00080 std::vector<double> input(3); 00081 input[0] = randomUpToIncluding(255); 00082 input[1] = randomUpToIncluding(255); 00083 input[2] = randomUpToIncluding(255); 00084 00085 LINFO("Input is (%f,%f,%f)", input[0], input[1], input[2]); 00086 00087 Image<PixRGB<byte> > inputImg(32,32,ZEROS); 00088 inputImg.clear(PixRGB<byte>(input[0], input[1], input[2])); 00089 ofs->writeRGB(inputImg, "InputImg"); 00090 00091 sofm.setInput(input); 00092 sofm.Propagate(); 00093 00094 double val; 00095 Point2D<int> p = sofm.getWinner(val); 00096 00097 LINFO("Winner at %ix%i value %f", p.i, p.j, val); 00098 printf("%i %f\n",ii, val); 00099 fflush(stdout); 00100 00101 00102 Image<float> sofmOut = sofm.getMap(); 00103 00104 drawCircle(sofmOut, p, 6, 255.0F); 00105 00106 ofs->writeRGB(sofmOut, "SOFM_act_map"); 00107 00108 Image<PixRGB<byte> > weights = sofm.getWeightsImage(); 00109 00110 drawCircle(weights, p, 6, PixRGB<byte>(0,255,0)); 00111 00112 ofs->writeRGB(weights, "SOFM_weights"); 00113 00114 00115 sofm.SetLearningRate(ii); 00116 sofm.organize(input); 00117 //inplaceNormalize(SMap, 0.0F, 255.0F); 00118 00119 ii++; 00120 00121 } 00122 00123 // stop all our ModelComponents 00124 manager.stop(); 00125 00126 // all done! 00127 return 0; 00128 } 00129 00130 // ###################################################################### 00131 /* So things look consistent in everyone's emacs... */ 00132 /* Local Variables: */ 00133 /* indent-tabs-mode: nil */ 00134 /* End: */