testcudahmaxfl.C

00001 /*!@file HMAX/test-hmax5.C Test Hmax class and compare to original code */
00002 
00003 // //////////////////////////////////////////////////////////////////// //
00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2001 by the //
00005 // University of Southern California (USC) and the iLab at USC.         //
00006 // See http://iLab.usc.edu for information about this project.          //
00007 // //////////////////////////////////////////////////////////////////// //
00008 // Major portions of the iLab Neuromorphic Vision Toolkit are protected //
00009 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency //
00010 // in Visual Environments, and Applications'' by Christof Koch and      //
00011 // Laurent Itti, California Institute of Technology, 2001 (patent       //
00012 // pending; application number 09/912,225 filed July 23, 2001; see      //
00013 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status).     //
00014 // //////////////////////////////////////////////////////////////////// //
00015 // This file is part of the iLab Neuromorphic Vision C++ Toolkit.       //
00016 //                                                                      //
00017 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can   //
00018 // redistribute it and/or modify it under the terms of the GNU General  //
00019 // Public License as published by the Free Software Foundation; either  //
00020 // version 2 of the License, or (at your option) any later version.     //
00021 //                                                                      //
00022 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope  //
00023 // that it will be useful, but WITHOUT ANY WARRANTY; without even the   //
00024 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR      //
00025 // PURPOSE.  See the GNU General Public License for more details.       //
00026 //                                                                      //
00027 // You should have received a copy of the GNU General Public License    //
00028 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write   //
00029 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330,   //
00030 // Boston, MA 02111-1307 USA.                                           //
00031 // //////////////////////////////////////////////////////////////////// //
00032 //
00033 // Primary maintainer for this file: Dan Parks <danielfp@usc.edu>
00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/CUDA/testcudahmaxfl.C $
00035 // $Id: testcudahmaxfl.C 13227 2010-04-15 01:38:09Z dparks $
00036 //
00037 
00038 #include "Component/ModelManager.H"
00039 #include "GUI/XWindow.H"
00040 #include "CUDA/CudaHmaxFL.H"
00041 #include "Learn/SVMClassifier.H"
00042 #include "CUDA/CudaHmax.H"
00043 #include "Image/Image.H"
00044 #include "Image/ColorOps.H"
00045 #include "Image/CutPaste.H"
00046 #include "Image/Rectangle.H"
00047 #include "Image/MathOps.H"
00048 #include "Image/MatrixOps.H"
00049 #include "Image/Transforms.H"
00050 #include "Image/Convolutions.H"
00051 #include "Learn/svm.h"
00052 #include "Media/FrameSeries.H"
00053 #include "nub/ref.h"
00054 #include "Raster/GenericFrame.H"
00055 #include "Raster/Raster.H"
00056 #include "Util/Types.H"
00057 #include "Util/log.H"
00058 #include "Util/Timer.H"
00059 
00060 #include <fstream>
00061 #include <iostream>
00062 #include <iomanip>
00063 #include <string>
00064 #include <unistd.h>
00065 #include <cstdlib>
00066 
00067 
00068 // number of orientations to use in HmaxFL
00069 #define NORI 4
00070 #define NUM_PATCHES_PER_SIZE 250
00071 
00072 int main(const int argc, const char **argv)
00073 {
00074 
00075   MYLOGVERB = LOG_INFO;
00076 
00077   ModelManager *mgr = new ModelManager("Test Hmax with Feature Learning");
00078 
00079 
00080   mgr->exportOptions(MC_RECURSE);
00081 
00082   // required arguments
00083   // <c1patchesDir> <dir|list> <id> <outputfile>
00084   //
00085   // <id> is the given id for the given set of images
00086   // --in only needs to happen if we are loading the patches
00087 
00088   if (mgr->parseCommandLine(
00089                             (const int)argc, (const char**)argv, "<cudadev> <c1patchesDir> <dir|list:images> <svmModel> <svmRange> <outputfile>", 6, 6) == false)
00090     return 1;
00091 
00092   std::string c1PatchesBaseDir;
00093   std::string images,svmModel,svmRange,devArg;
00094   std::string answerFileName;
00095 
00096   devArg = mgr->getExtraArg(0);
00097   c1PatchesBaseDir = mgr->getExtraArg(1);
00098   images = mgr->getExtraArg(2);
00099   svmModel = mgr->getExtraArg(3);
00100   svmRange = mgr->getExtraArg(4);
00101   answerFileName = mgr->getExtraArg(5);
00102 
00103   MemoryPolicy mp = GLOBAL_DEVICE_MEMORY;
00104   int dev = strtol(devArg.c_str(),NULL,0);
00105   std::string::size_type dirArg=images.find("dir:",0);
00106   std::string::size_type listArg=images.find("list:",0);
00107   if((dirArg == std::string::npos &&
00108       listArg == std::string::npos) ||
00109      (dirArg != 0 && listArg != 0)){
00110     LFATAL("images argument is in one of the following formats -  dir:<DIRNAME>  or  list:<LISTOFIMAGEPATHSFILE>");
00111     return EXIT_FAILURE;
00112   }
00113   if(dirArg == 0)
00114     images = images.substr(4);
00115   else
00116     images = images.substr(5);
00117 
00118   // Now we run if needed
00119   mgr->start();
00120 
00121 
00122   // get an HmaxFL object:
00123   std::vector<int> scss(9);
00124   scss[0] = 1; scss[1] = 3; scss[2] = 5; scss[3] = 7; scss[4] = 9;
00125   scss[5] = 11; scss[6] = 13; scss[7] = 15; scss[8] = 17;
00126   std::vector<int> spss(8);
00127   spss[0] = 8; spss[1] = 10; spss[2] = 12; spss[3] = 14;
00128   spss[4] = 16; spss[5] = 18; spss[6] = 20; spss[7] = 22;
00129   // std::vector<int> scss(4);
00130   // scss[0] = 3; scss[1] = 7; scss[2] = 11; scss[3] = 15;
00131   // std::vector<int> spss(4);
00132   // spss[0] = 10; spss[1] = 14; spss[2] = 18; spss[3] = 22;
00133 
00134   CudaHmaxFL hmax(mp,dev,NORI, spss, scss);
00135 
00136   // Load the SVM Classifier Model and Range in
00137   SVMClassifier svm;
00138   svm.readModel(svmModel);
00139   svm.readRange(svmRange);
00140 
00141   //
00142   hmax.readInC1Patches(c1PatchesBaseDir);
00143 
00144   std::vector<std::string> imageNames;
00145   if(dirArg == 0)
00146     imageNames = hmax.readDir(images);
00147   else
00148     imageNames = hmax.readList(images);
00149 
00150   std::ofstream answerFile;
00151   answerFile.open(answerFileName.c_str(),std::ios::out);
00152 
00153   std::vector<int> patchSizes = hmax.getC1PatchSizes();
00154   float **c2Res = new float*[patchSizes.size()];
00155   for(unsigned int i=0;i<patchSizes.size();i++) {
00156     c2Res[i] = new float[NUM_PATCHES_PER_SIZE];
00157   }
00158 
00159   for(unsigned int imgInd=0;imgInd<imageNames.size();imgInd++){
00160 
00161     Image<float> inputf = Raster::ReadGrayNTSC(imageNames[imgInd]);
00162     Timer tim;
00163     tim.reset();
00164     hmax.getC2(CudaImage<float>(inputf,mp,dev),c2Res);
00165     printf("CUDA Hmax done in %f seconds\n",tim.getSecs());
00166 
00167     double pred = svm.predict(c2Res,patchSizes.size(),NUM_PATCHES_PER_SIZE);
00168     printf("Prediction is %f\n",pred);
00169     int predId = (int) pred;
00170     answerFile << predId;
00171     answerFile << std::endl;
00172 
00173   }
00174 
00175   for(unsigned int i=0;i<patchSizes.size();i++) {
00176     delete[] c2Res[i];
00177   }
00178   delete [] c2Res;
00179 
00180   answerFile.close();
00181   return 0;
00182 }
00183 
00184 
00185 // ######################################################################
00186 /* So things look consistent in everyone's emacs... */
00187 /* Local Variables: */
00188 /* indent-tabs-mode: nil */
00189 /* End: */
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