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Diffstat (limited to 'release/scripts/freestyle/style_modules/long_anisotropically_dense.py')
-rwxr-xr-xrelease/scripts/freestyle/style_modules/long_anisotropically_dense.py81
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diff --git a/release/scripts/freestyle/style_modules/long_anisotropically_dense.py b/release/scripts/freestyle/style_modules/long_anisotropically_dense.py
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+++ b/release/scripts/freestyle/style_modules/long_anisotropically_dense.py
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+#
+# Filename : long_anisotropically_dense.py
+# Author : Stephane Grabli
+# Date : 04/08/2005
+# Purpose : Selects the lines that are long and have a high anisotropic
+# a priori density and uses causal density
+# to draw without cluttering. Ideally, half of the
+# selected lines are culled using the causal density.
+#
+# ********************* WARNING *************************************
+# ******** The Directional a priori density maps must ******
+# ******** have been computed prior to using this style module ******
+#
+#############################################################################
+#
+# Copyright (C) : Please refer to the COPYRIGHT file distributed
+# with this source distribution.
+#
+# 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.
+#
+#############################################################################
+
+from freestyle_init import *
+from logical_operators import *
+from PredicatesU1D import *
+from PredicatesU0D import *
+from PredicatesB1D import *
+from Functions0D import *
+from Functions1D import *
+from shaders import *
+
+## custom density predicate
+class pyDensityUP1D(UnaryPredicate1D):
+ def __init__(self,wsize,threshold, integration = IntegrationType.MEAN, sampling=2.0):
+ UnaryPredicate1D.__init__(self)
+ self._wsize = wsize
+ self._threshold = threshold
+ self._integration = integration
+ self._func = DensityF1D(self._wsize, self._integration, sampling)
+ self._func2 = DensityF1D(self._wsize, IntegrationType.MAX, sampling)
+
+ def getName(self):
+ return "pyDensityUP1D"
+
+ def __call__(self, inter):
+ c = self._func(inter)
+ m = self._func2(inter)
+ if(c < self._threshold):
+ return 1
+ if( m > 4* c ):
+ if ( c < 1.5*self._threshold ):
+ return 1
+ return 0
+
+Operators.select(QuantitativeInvisibilityUP1D(0))
+Operators.bidirectionalChain(ChainSilhouetteIterator(),NotUP1D(QuantitativeInvisibilityUP1D(0)))
+Operators.select(pyHigherLengthUP1D(40))
+## selects lines having a high anisotropic a priori density
+Operators.select(pyHighDensityAnisotropyUP1D(0.3,4))
+Operators.sort(pyLengthBP1D())
+shaders_list = [
+ SamplingShader(2.0),
+ ConstantThicknessShader(2),
+ ConstantColorShader(0.2,0.2,0.25,1),
+ ]
+## uniform culling
+Operators.create(pyDensityUP1D(3.0,2.0e-2, IntegrationType.MEAN, 0.1), shaders_list)
+
+