00001 /*!@file CUDA/CudaHmaxFLSal.H Modified from T. Serre's HMAX model with C1 layer input from Saliency */ 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: Laurent Itti <itti@usc.edu> 00034 // 00035 // 00036 00037 #ifndef CUDAHMAXFLSAL_H_DEFINED 00038 #define CUDAHMAXFLSAL_H_DEFINED 00039 00040 #include "CUDA/CudaSaliency.H" 00041 #include "CUDA/CudaImage.H" 00042 #include "CUDA/CudaHmax.H" 00043 #include "CUDA/CudaHmaxFL.H" 00044 #include <vector> 00045 00046 #include <cmath> 00047 #include <string> 00048 #include <vector> 00049 #include <dirent.h> 00050 #include "nub/ref.h" 00051 00052 class CudaHmaxFLSal : public CudaHmaxFL { 00053 public: 00054 //! Default constructor. Need to call init() later. 00055 CudaHmaxFLSal(); 00056 00057 //!Constructor 00058 CudaHmaxFLSal(MemoryPolicy mp, int dev, nub::ref<CudaSaliency> sal_in); 00059 00060 //! Destructor 00061 ~CudaHmaxFLSal(); 00062 00063 //! Randomly extract a set of C1Patches from positive training images 00064 void extractRandC1Patches(Image<float> *& posTrainingImages, int numPosTrainImages, std::vector<int> patchSizes, int nPatchesPerSize, int no); 00065 00066 // Get the C1 level from already computed saliency information(must be public if you need to learn patches) 00067 void getC1(CudaImage<float>**& c1Res); 00068 00069 // Calculate the C1 level from salieny for the given image(must be public if you need to learn patches) 00070 void getC1(const CudaImage<float>& input, CudaImage<float>**& c1Res); 00071 00072 00073 protected: 00074 nub::ref<CudaSaliency> sal; 00075 00076 }; 00077 00078 #endif 00079 00080 // ###################################################################### 00081 /* So things look consistent in everyone's emacs... */ 00082 /* Local Variables: */ 00083 /* indent-tabs-mode: nil */ 00084 /* End: */
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