debian/0000775000000000000000000000000012123125365007170 5ustar debian/docs0000664000000000000000000000001312123125071010027 0ustar README.txt debian/rules0000775000000000000000000000325012123125071010242 0ustar #!/usr/bin/make -f # -*- makefile -*- # Sample debian/rules that uses debhelper. # This file was originally written by Joey Hess and Craig Small. # As a special exception, when this file is copied by dh-make into a # dh-make output file, you may use that output file without restriction. # This special exception was added by Craig Small in version 0.37 of dh-make. # Uncomment this to turn on verbose mode. #export DH_VERBOSE=1 build: build-arch build-indep build-arch: build-stamp build-indep: build-stamp build-stamp: dh_testdir touch $@ clean: dh_testdir dh_testroot rm -f build-stamp dh_clean install: build dh_testdir dh_testroot dh_prep dh_installdirs mkdir -p $(CURDIR)/debian/tegaki-zinnia-traditional-chinese/usr/share/tegaki/models/zinnia cp handwriting-zh_TW.model handwriting-zh_TW.meta $(CURDIR)/debian/tegaki-zinnia-traditional-chinese/usr/share/tegaki/models/zinnia # Build architecture-independent files here. binary-arch: build install # We have nothing to do by default. binary-indep: build install dh_testdir dh_testroot dh_installchangelogs dh_installdocs dh_installexamples dh_installman dh_link dh_strip dh_compress dh_fixperms dh_installdeb dh_shlibdeps dh_gencontrol dh_md5sums dh_builddeb binary: binary-indep binary-arch DEB_DEBIAN_DIR=$(dir $(firstword $(MAKEFILE_LIST))) get-orig-source: # Uscan will read debian/watch, grab the correct version, repack, and leave it in the # current directory, given the path to the source package. uscan --noconf --force-download --rename --repack --download-current-version --destdir=. \ $(DEB_DEBIAN_DIR)/.. .PHONY: build clean binary-indep binary-arch binary get-orig-source install configure debian/compat0000664000000000000000000000000212123125071010360 0ustar 5 debian/copyright0000664000000000000000000000244712123125071011124 0ustar This package was debianized by Ma Xiaojun on Sun, 21 Oct 2012 20:33:26 -0500 It was downloaded from http://tegaki.sourceforge.net/ Upstream Author: Mathieu Blondel Copyright: Copyright (C) 2009 Mathieu Blondel License: This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2.1 of the License, or (at your option) any later version. This library 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 Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA On Debian systems, the complete text of the GNU Lesser General Public License 2.1 can be found in `/usr/share/common-licenses/LGPL-2.1'. The Debian packaging is (C) 2012, Ma Xiaojun and is licensed under the LGPL 2.1, see `/usr/share/common-licenses/LGPL-2.1'. debian/source/0000775000000000000000000000000012123125365010470 5ustar debian/source/format0000664000000000000000000000001412123125071011670 0ustar 3.0 (quilt) debian/control0000664000000000000000000000212212123125071010562 0ustar Source: tegaki-zinnia-traditional-chinese Section: utils Priority: optional Maintainer: Ubuntu Developers XSBC-Original-Maintainer: Ma Xiaojun Build-Depends: debhelper (>= 5) Standards-Version: 3.9.3 Homepage: http://tegaki.sourceforge.net/ Package: tegaki-zinnia-traditional-chinese Architecture: all Depends: ${misc:Depends} Description: Traditional Chinese handwriting model for Zinnia Zinnia is a simple, customizable and portable online hand recognition system based on Support Vector Machines. Zinnia simply receives user pen strokes as a sequence of coordinate data and outputs n-best characters sorted by SVM confidence. To keep portability, Zinnia doesn't have any rendering functionality. In addition to recognition, Zinnia provides training module that allows us to create any hand-written recognition systems with low-cost. . This package provide a data model for Zinnia. With this model, Zinnia can recognize Traditional Chinese character. . This data model is derived from tomoe project: http://tomoe.sourceforge.jp debian/watch0000664000000000000000000000014312123125071010211 0ustar version=3 http://www.tegaki.org/releases/0.3/models/tegaki-zinnia-traditional-chinese-([\d.]+).zip debian/changelog0000664000000000000000000000026112123125354011037 0ustar tegaki-zinnia-traditional-chinese (0.3-0ubuntu1) raring; urgency=low * Initial release (LP: #1069292) -- Ma Xiaojun Sun, 21 Oct 2012 20:33:26 -0500