debian/0000755000000000000000000000000012250562434007171 5ustar debian/source/0000755000000000000000000000000012214301175010462 5ustar debian/source/format0000644000000000000000000000001412214301175011670 0ustar 3.0 (quilt) debian/docs0000644000000000000000000000006012214301175010031 0ustar AUTHORS.txt HEADER.txt LICENSE-pt.txt README.md debian/copyright0000644000000000000000000000214012250557170011122 0ustar Format: http://www.debian.org/doc/packaging-manuals/copyright-format/1.0/ Upstream-Name: python-casmoothing Source: https://github.com/tfmoraes/python-casmoothing Files: * Copyright: 2012 Centro de Pesquisas Renato Archer License: GPL-2.0+ Files: debian/* Copyright: 2012 Thiago Franco de Moraes License: GPL-2.0+ License: GPL-2.0+ This package 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 package 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, see . On Debian systems, the complete text of the GNU General Public License version 2 can be found in "/usr/share/common-licenses/GPL-2". debian/upstream0000644000000000000000000000056412214301175010752 0ustar Reference: Author: Tobias Moench and Rocco Gasteiger and Gabor Janiga and Holger Theisel and Bernhard Preim Title: Context-aware mesh smoothing for biomedical applications Journal: Computers & Graphics Year: 2011 Volume: 35 Number: 4 Pages: 755–767 DOI: 10.1016/j.cag.2011.04.011 URL: http://www.sciencedirect.com/science/article/pii/S0097849311001142 debian/rules0000755000000000000000000000023612214301175010243 0ustar #!/usr/bin/make -f %: dh $@ --with python2 get-orig-source: mkdir -p ../tarballs uscan --verbose --force-download --repack --rename --destdir=../tarballs debian/python-casmoothing1.install0000644000000000000000000000002212214301175014457 0ustar usr/lib/lib*.so.* debian/python-casmoothing-dev.install0000644000000000000000000000012712214301175015160 0ustar usr/include/* usr/lib/lib*.a usr/lib/lib*.so usr/lib/pkgconfig/* usr/share/pkgconfig/* debian/watch0000644000000000000000000000012312214301175010207 0ustar version=3 https://github.com/tfmoraes/python-casmoothing/tags .*/v(\d[\d\.]+)\.zip debian/changelog0000644000000000000000000000101712250562434011042 0ustar python-casmoothing (0.1-2) unstable; urgency=low * debian/control: - cme fix dpkg-control - canonical Vcs URLs - Drop explicit Depends libvtk5.8 to enable automatic depencency detection via ${shlibs:Depends} Closes: #708255 * cme fix dpkg-copyright -- Andreas Tille Sat, 07 Dec 2013 09:34:34 +0100 python-casmoothing (0.1-1) unstable; urgency=low * Initial release (Closes: #693963) -- Thiago Franco de Moraes Thu, 22 Nov 2012 13:23:00 +0100 debian/compat0000644000000000000000000000000212214301175010360 0ustar 9 debian/control0000644000000000000000000000270012250557326010577 0ustar Source: python-casmoothing Maintainer: Debian Med Packaging Team Uploaders: Thiago Franco de Moraes , Andreas Tille Section: python Priority: optional Build-Depends: debhelper (>= 9), cmake, swig, python-dev, python-vtk, libvtk5-dev Standards-Version: 3.9.5 Vcs-Browser: http://anonscm.debian.org/viewvc/debian-med/trunk/packages/python-casmoothing/trunk/ Vcs-Svn: svn://anonscm.debian.org/debian-med/trunk/packages/python-casmoothing/trunk/ Homepage: https://github.com/tfmoraes/python-casmoothing X-Python-Version: >= 2.7 Package: python-casmoothing Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends}, ${python:Depends}, python-vtk Description: Context-aware mesh smoothing for biomedical applications Smoothing algorithms allow to reduce artifacts from mesh generation, but often degrade accuracy. The method described in the paper "Context-aware mesh smoothing for biomedical applications" identifies staircase artifacts which result from image inhomogeneities and binary segmentation in medical image data for subsequent removal by adaptive mesh smoothing. Thus, context-aware smoothing enables to adaptively smooth artifact areas, while non-artifact features can be preserved. This is a implementation of this method in Cpp with Python bindings.