makehyper(6) [debian man page]
MAKEHYPER(6) Games Manual MAKEHYPER(6) NAME
makehyper - generate a GNU Backgammon Hypergammon position database SYNOPSIS
makehyper [-nvh] -f filename [-r filename] [-c chequers] [-t threshold] DESCRIPTION
Hypergammon is a variation of backgammon with a much reduced number of chequers (usually three). It's possible to fully analyze this sim- plified game and generate a database of position evaluations in order to play perfectly. makehyper generates such a position evaluation database. Since many of the positions are in contact, it's not possible to generate the database in one pass; instead, makehyper iterates until the position evaluation converges. The convergence threshold can be changed with the -t option. OPTIONS
-f filename, --outfile filename Write the hypergammon database to filename. This option must be given. -r filename, --restart filename Restart calculation of the database from the given file, which should be a checkpoint from an earlier run. -c chequers, --chequers chequers Set the number of chequers in the game. The default is 3, for normal 3-chequer hypergammon. -n, --no-checkpoint Do not write a checkpoint file after each iteration. -t threshold, --threshold threshold Set the convergence threshold. The default is 1e-5. -v, --version Show version information and exit. -h, --help Display usage and exit. SEE ALSO
gnubg(6) AUTHORS
Joseph Heled, Oystein Johansen, Jorn Thyssen, and Gary Wong, with the assistance of many others <bug-gnubg@gnu.org>. This manual page was written by Russ Allbery <rra@debian.org>, for the Debian GNU/Linux system (but may be used by others). It may be redistributed and/or modified under the terms of version 2 of the GNU General Public License as published by the Free Software Foundation (the same license as GNU Backgammon). 2006-01-15 MAKEHYPER(6)
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OPTIMIZE2BW(1) ExactImage Manual OPTIMIZE2BW(1) NAME
optimize2bw - automatic thresholder of the ExactImage toolkit SYNOPSIS
optimize2bw [option...] {-i | --input} input-file {-o | --output} output-file optimize2bw --help DESCRIPTION
ExactImage is a fast C++ image processing library. Unlike many other library frameworks it allows operation in several color spaces and bit depths natively, resulting in low memory and computational requirements. optimize2bw reads image files and performs automatic thresholding and optional scaling on the data. It is useful for long term archiving of documents that have to be stored in sub-byte black and white data to reduce storage requirements. OPTIONS
-i file, --input file Read image from the specified file. -o file, --output file Save output image to the specified file. -n, --denoise Remove ("denoise") single bit pixel noise. -d n, --dpi n Scale the image to the specified resolution. -h n, --high n Set high normalization value. -l n, --low n Set low normalization value. -r n, --radius n Set "unsharp mask" radius. The default is 0. -s n, --scale n Set output scale factor. The default is 1.0. -sd x, --standard-deviation x Set standard deviation for Gaussian distribution. The default is 0.0. -t n, --threshold n Set threshold value. The default is 0. --help Display help text and exit. EXAMPLES
$ optimize2bw -i logo.jpg -o logo.tif Scale: 0 SEE ALSO
exactimage(7) AUTHORS
Jakub Wilk <jwilk@debian.org> Wrote this manual page for the Debian system. http://www.exactcode.de/site/open_source/exactimage/ This manual page incorporates texts found on the ExactImage homepage. COPYRIGHT
This manual page was written for the Debian system (and may be used by others). Permission is granted to copy, distribute and/or modify this document under the terms of the GNU General Public License, Version 2 or (at your option) any later version published by the Free Software Foundation. On Debian systems, the complete text of the GNU General Public License can be found in /usr/share/common-licenses/GPL-2. optimize2bw 09/09/2013 OPTIMIZE2BW(1)