00001 /*!@file CUDA/CudaImageSetOps.H Free functions operating on sets of images 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 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/CUDA/CudaImageSetOps.H $ 00035 // $Id: CudaImageSetOps.H 12962 2010-03-06 02:13:53Z irock $ 00036 // 00037 00038 #ifndef CUDAIMAGESET_OPS_H_DEFINED 00039 #define CUDAIMAGESET_OPS_H_DEFINED 00040 00041 #include "Util/Types.H" // for uint 00042 00043 class Dims; 00044 template <class T> class CudaImage; 00045 template <class T> class CudaImageSet; 00046 template <class T> class Range; 00047 00048 // ############################################################ 00049 // ############################################################ 00050 /*! @name CudaImageSet processing functions 00051 00052 Not all of these functions are templates, simply because alternate 00053 versions aren't currently needed. 00054 */ 00055 //@{ 00056 00057 //! Returns true if all images in the set are the same size. 00058 /*! Also returns true for the empty set. */ 00059 template <class T> 00060 bool cudaIsHomogeneous(const CudaImageSet<T>& x); 00061 00062 //! Check whether the pyramid is dyadic. 00063 /*! A dyadic pyramid is one in which each level is one half the width 00064 and one half the height of the preceding level. NOTE that this 00065 function is defined here, in CudaImageSetOps.H, rather than in 00066 Pyramid_Ops.H, in order to avoid a cyclic dependency between those 00067 two modules. CudaImageSetOps needs isDyadic() in order to implement 00068 makeImageArray(). */ 00069 template <class T> 00070 bool cudaIsDyadic(const CudaImageSet<T>& pyr); 00071 00072 00073 //! Make an CudaImageSet from the s'th level from each of the N input sets. 00074 /*! This is useful, for example, in transforming an array of CudaImageSets 00075 from multiple-scales-per-set/one-orientation-per-set into the 00076 reverse, multiple-orientations-per-set/one-scale-per-set. 00077 */ 00078 template <class T> 00079 CudaImageSet<T> cudaTakeSlice(const CudaImageSet<T>* sets, uint N, uint s); 00080 00081 00082 #endif // !CUDAIMAGESET_OPS_H_DEFINED 00083 00084 // ###################################################################### 00085 /* So things look consistent in everyone's emacs... */ 00086 /* Local Variables: */ 00087 /* indent-tabs-mode: nil */ 00088 /* End: */