00001 /*!@file ModelNeuron/LayerDecoder.C implementaton for a LayerDecoder*/ 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: David Berg <dberg@usc.edu> 00034 // $HeadURL:svn://ilab.usc.edu/trunk/saliency/src/ModelNeuron/LayerDecoder.C$ 00035 00036 #include "ModelNeuron/LayerDecoder.H" 00037 #include "ModelNeuron/NeuralDecoder.H" 00038 00039 // ###################################################################### 00040 //! implementation for layer decoder 00041 // ###################################################################### 00042 LayerDecoder::LayerDecoder() : itsW(0), itsH(0), itsInitialized(false), itsI() { }; 00043 00044 // ###################################################################### 00045 LayerDecoder::LayerDecoder(const NeuralDecoder& nd, uint w, uint h) : 00046 itsW(w), itsH(h), itsInitialized(false), itsI() {setDecoder(nd,w,h); }; 00047 00048 // ###################################################################### 00049 LayerDecoder::LayerDecoder (const NeuralDecoder& nd, const Dims& dims) : 00050 itsW(0), itsH(0), itsInitialized(false), itsI() {setDecoder(nd,dims); }; 00051 00052 // ###################################################################### 00053 LayerDecoder::~LayerDecoder() { }; 00054 00055 // ###################################################################### 00056 void LayerDecoder::push(const Image<double>& data) 00057 { 00058 Image<double>::const_iterator di(data.begin()); 00059 vector::iterator i(itsI.begin()), end(itsI.end()); 00060 while (i != end) 00061 (i++)->push(*di++); 00062 } 00063 00064 // ###################################################################### 00065 Image<double> LayerDecoder::getOutput() const 00066 { 00067 if (initialized()) 00068 { 00069 Image<double> out(itsW, itsH, NO_INIT); 00070 Image<double>::iterator oi(out.beginw()); 00071 00072 vector::const_iterator i(itsI.begin()), end(itsI.end()); 00073 00074 while (i != end) 00075 (*oi++) = (i++)->getOutput(); 00076 00077 return out; 00078 } 00079 else 00080 return Image<double>(); 00081 } 00082 00083 // ###################################################################### 00084 void LayerDecoder::setDecoder(const NeuralDecoder& nd, const uint w, const uint h) 00085 { 00086 //resize to our new dimensions 00087 itsW = w; itsH = h; 00088 itsI = vector(w*h, nd); 00089 itsInitialized = true; 00090 } 00091 00092 // ###################################################################### 00093 void LayerDecoder::setDecoder(const NeuralDecoder& nd, const Dims dims) 00094 { 00095 setDecoder(nd, dims.w(), dims.h()); 00096 } 00097 00098 // ###################################################################### 00099 bool LayerDecoder::initialized() const 00100 { 00101 return itsInitialized; 00102 } 00103 00104 // ###################################################################### 00105 void LayerDecoder::reset() 00106 { 00107 vector::iterator iter(itsI.begin()); 00108 while (iter != itsI.end()) 00109 (iter++)->reset(); 00110 } 00111 00112 // ###################################################################### 00113 /* So things look consistent in everyone's emacs... */ 00114 /* Local Variables: */ 00115 /* indent-tabs-mode: nil */ 00116 /* End: */ 00117 00118 00119