/usr/bin/pfsstat is in pfstools 2.0.4-5build1.
This file is owned by root:root, with mode 0o755.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 | #!/usr/bin/octave -q
#
# This file is a part of PFSTOOLS package.
# ----------------------------------------------------------------------
# Copyright (C) 2003,2004 Rafal Mantiuk and Grzegorz Krawczyk
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
# ----------------------------------------------------------------------
#
# @author Rafal Mantiuk, <mantiuk@mpi-sb.mpg.de>
#
# $Id: pfsstat,v 1.2 2005/11/07 14:40:52 rafm Exp $
#
# See man page for more information
pin = pfsopen( "stdin" );
#fprintf( stderr, "l = %d\n", length( argv ) );
if( nargin != 0 )
error( "Expecting no parameters" );
endif
if( 2 != exist( 'gausswin' ) )
error( "%s requires the 'signal' package - please install octave-signal\n", \
program_name () );
endif
firstFrame = true;
while( true )
pin = pfsget( pin );
if( pin.EOF == true ) # Are there any more frames
break;
endif
## Low pass filter to eliminate influence of high frequencies on
## the statistic
kernel = gausswin( 30, 2.2 );
##*gausswin( 30, 2.2 )';
kernel = kernel / sum( kernel(:) );
## Separate filtering for rows and cols
fy = conv2( pin.channels.Y, kernel, 'same' );
fy = conv2( fy, kernel', 'same' );
## Remove zero and negative values - set them to smalles possitive value
min_positive = min( vec( fy + (fy<=0)*1000 ) );
fy = fy .* (fy >= min_positive) + min_positive .* (fy < min_positive);
## Work in log domain
lfy = log10(fy);
## Calculate statistics
minimum = min( vec( lfy ) );
maximum = max( vec( lfy ) );
dynamic_range = maximum - minimum;
s_average = mean( vec( lfy ) );
s_median = median( vec( lfy ) );
if( !firstFrame )
fprintf( stderr, "======================\n" );
endif
if( isfield( pin.tags, "FILE_NAME" ) )
fprintf( stderr, "File: %s\n", pin.tags.FILE_NAME );
endif
if( isfield( pin.tags, "LUMINANCE" ) )
fprintf( stderr, "Luminance profile: %s\n", pin.tags.LUMINANCE );
endif
fprintf( stderr, "Width: %d Height: %d\n", pin.columns, pin.rows );
fprintf( stderr, "Dynamic Range: \t%g [log_10]\t 1:%g [lin]\t %g [dB]\n", ...
dynamic_range, 10^dynamic_range, ...
round(20*dynamic_range) );
fprintf( stderr, "Minimum: \t%g [log_10]\t %g [lin]\n", ...
minimum, 10^minimum );
fprintf( stderr, "Maximum: \t%g [log_10]\t %g [lin]\n", ...
maximum, 10^maximum );
fprintf( stderr, "Log average: \t%g [log_10]\t %g [lin]\n", ...
s_average, 10^s_average );
fprintf( stderr, "Median: \t%g [log_10]\t %g [lin]\n", ...
s_median, 10^s_median );
firstFrame = false;
endwhile
pfsclose( pin );
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