00001 /*!@file Transport/StatsOutputSeries.H FrameOstream subclass that writes image statistics to an output file */ 00002 00003 // //////////////////////////////////////////////////////////////////// // 00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2005 // 00005 // by the 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: Rob Peters <rjpeters at usc dot edu> 00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Transport/StatsOutputSeries.H $ 00035 // $Id: StatsOutputSeries.H 9547 2008-03-28 23:32:43Z rjpeters $ 00036 // 00037 00038 #ifndef TRANSPORT_STATSOUTPUTSERIES_H_DEFINED 00039 #define TRANSPORT_STATSOUTPUTSERIES_H_DEFINED 00040 00041 #include "Transport/FrameOstream.H" 00042 00043 //! FrameOstream subclass that writes image statistics to an output file 00044 /*! To try out StatsOutputSeries, you can for example do the following 00045 using bin/stream to generate a listing on stderr of basic 00046 statistics for 5 random 300x300 color images: 00047 00048 ./bin/stream --in=random:300x300 --out=stats:stderr \ 00049 --input-frames=0-4@1 00050 00051 which will generate output like the following: 00052 00053 000000 R=[0 .. 127.419667 +/- 73.714227 .. 255] G=[0 .. 127.312844 +/- 73.822887 .. 255] B=[0 .. 127.575222 +/- 73.854606 .. 255] % stream-output (300x300 Image<PixRGB<byte>>) 00054 000001 R=[0 .. 127.491533 +/- 73.670695 .. 255] G=[0 .. 127.532900 +/- 74.127892 .. 255] B=[0 .. 127.387644 +/- 73.752754 .. 255] % stream-output (300x300 Image<PixRGB<byte>>) 00055 000002 R=[0 .. 127.553444 +/- 74.032009 .. 255] G=[0 .. 127.531078 +/- 73.875733 .. 255] B=[0 .. 127.660456 +/- 73.902850 .. 255] % stream-output (300x300 Image<PixRGB<byte>>) 00056 000003 R=[0 .. 127.584222 +/- 73.662192 .. 255] G=[0 .. 127.564222 +/- 74.022741 .. 255] B=[0 .. 127.547267 +/- 73.920700 .. 255] % stream-output (300x300 Image<PixRGB<byte>>) 00057 000004 R=[0 .. 127.425100 +/- 73.940624 .. 255] G=[0 .. 127.340178 +/- 73.798693 .. 255] B=[0 .. 127.278911 +/- 73.749278 .. 255] % stream-output (300x300 Image<PixRGB<byte>>) 00058 OVERALL R=[0 .. 127.494793 .. 255] G=[0 .. 127.456244 .. 255] B=[0 .. 127.489900 .. 255] % summary of 5 frames 00059 00060 where the first column is the frame number, followed by 00061 00062 [min .. mean +/- stdev .. max] 00063 00064 for each of the R,G,B components. The final line gives 00065 00066 [min .. mean .. max] 00067 00068 over all of the input frames. 00069 00070 If the filename given to StatsOutputSeries is "", "-", "stdout", or 00071 "STDOUT" then the output goes to stdout, likewise "stderr" or 00072 "STDERR" sends output to stderr, and anything else will be 00073 interpreted as a literal filename to which output should be 00074 written. 00075 */ 00076 class StatsOutputSeries : public FrameOstream 00077 { 00078 public: 00079 //! Constructor 00080 StatsOutputSeries(OptionManager& mgr); 00081 00082 //! Destructor 00083 virtual ~StatsOutputSeries(); 00084 00085 //! Override from FrameOstream; just calls setFileName() 00086 virtual void setConfigInfo(const std::string& filename); 00087 00088 //! Set the current frame number and remember it 00089 virtual bool setFrameNumber(int n); 00090 00091 //! Write image statistics to the output file 00092 virtual void writeFrame(const GenericFrame& frame, 00093 const std::string& shortname, 00094 const FrameInfo& auxinfo); 00095 00096 //! No-op 00097 virtual void closeStream(const std::string& shortname); 00098 00099 //! Specify the output filename 00100 void setFileName(const std::string& s); 00101 00102 private: 00103 virtual void stop2(); 00104 00105 StatsOutputSeries(const StatsOutputSeries&); 00106 StatsOutputSeries& operator=(const StatsOutputSeries&); 00107 00108 struct Impl; 00109 Impl* rep; 00110 }; 00111 00112 // ###################################################################### 00113 /* So things look consistent in everyone's emacs... */ 00114 /* Local Variables: */ 00115 /* mode: c++ */ 00116 /* indent-tabs-mode: nil */ 00117 /* End: */ 00118 00119 #endif // TRANSPORT_STATSOUTPUTSERIES_H_DEFINED