# ##### BEGIN GPL LICENSE BLOCK ##### # # 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., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. # # ##### END GPL LICENSE BLOCK ##### # Filename : apriori_and_causal_density.py # Author : Stephane Grabli # Date : 04/08/2005 # Purpose : Selects the lines with high a priori density and # subjects them to the causal density so as to avoid # cluttering from freestyle.chainingiterators import ChainPredicateIterator from freestyle.predicates import ( AndUP1D, NotUP1D, QuantitativeInvisibilityUP1D, TrueBP1D, pyDensityUP1D, pyHighViewMapDensityUP1D, ) from freestyle.shaders import ( ConstantColorShader, ConstantThicknessShader, ) from freestyle.types import IntegrationType, Operators upred = AndUP1D(QuantitativeInvisibilityUP1D(0), pyHighViewMapDensityUP1D(0.3, IntegrationType.LAST)) Operators.select(upred) bpred = TrueBP1D() Operators.bidirectional_chain(ChainPredicateIterator(upred, bpred), NotUP1D(QuantitativeInvisibilityUP1D(0))) shaders_list = [ ConstantThicknessShader(2), ConstantColorShader(0, 0, 0, 1), ] Operators.create(pyDensityUP1D(1, 0.1, IntegrationType.MEAN), shaders_list)