forked from bartvdbraak/blender
6498b96ce7
Both C- and Python-coded API components were rearranged into logical groups. New Python modules are packaged as follows: freestyle - Top-level package freestyle.types - Classes for core data structues (e.g., view map) freestyle.chainingiterators - Pre-defined chaining iterators freestyle.functions - Pre-defined 0D and 1D functions freestyle.predicates - Pre-defined 0D and 1D predicates freestyle.shaders - Pre-defined stroke shaders freestyle.utils - Utility functions The Python modules are installed in scripts/freestyle/modules. Pre-defined styles are installed in scripts/freestyle/styles. To-do: update styles according to the new Freestyle API package structure.
69 lines
2.9 KiB
Python
69 lines
2.9 KiB
Python
# ##### BEGIN GPL LICENSE BLOCK #####
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#
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# This program is free software; you can redistribute it and/or
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# modify it under the terms of the GNU General Public License
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# as published by the Free Software Foundation; either version 2
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# of the License, or (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software Foundation,
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# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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#
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# ##### END GPL LICENSE BLOCK #####
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# Filename : long_anisotropically_dense.py
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# Author : Stephane Grabli
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# Date : 04/08/2005
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# Purpose : Selects the lines that are long and have a high anisotropic
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# a priori density and uses causal density
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# to draw without cluttering. Ideally, half of the
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# selected lines are culled using the causal density.
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#
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# ********************* WARNING *************************************
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# ******** The Directional a priori density maps must ******
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# ******** have been computed prior to using this style module ******
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from freestyle import ChainSilhouetteIterator, ConstantColorShader, ConstantThicknessShader, DensityF1D, \
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IntegrationType, Operators, QuantitativeInvisibilityUP1D, SamplingShader, UnaryPredicate1D
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from PredicatesB1D import pyLengthBP1D
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from PredicatesU1D import pyHighDensityAnisotropyUP1D, pyHigherLengthUP1D
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from logical_operators import NotUP1D
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## custom density predicate
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class pyDensityUP1D(UnaryPredicate1D):
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def __init__(self, wsize, threshold, integration=IntegrationType.MEAN, sampling=2.0):
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UnaryPredicate1D.__init__(self)
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self._wsize = wsize
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self._threshold = threshold
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self._integration = integration
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self._func = DensityF1D(self._wsize, self._integration, sampling)
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self._func2 = DensityF1D(self._wsize, IntegrationType.MAX, sampling)
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def __call__(self, inter):
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c = self._func(inter)
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m = self._func2(inter)
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if c < self._threshold:
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return 1
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if m > 4*c:
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if c < 1.5*self._threshold:
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return 1
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return 0
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Operators.select(QuantitativeInvisibilityUP1D(0))
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Operators.bidirectional_chain(ChainSilhouetteIterator(),NotUP1D(QuantitativeInvisibilityUP1D(0)))
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Operators.select(pyHigherLengthUP1D(40))
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## selects lines having a high anisotropic a priori density
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Operators.select(pyHighDensityAnisotropyUP1D(0.3,4))
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Operators.sort(pyLengthBP1D())
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shaders_list = [
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SamplingShader(2.0),
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ConstantThicknessShader(2),
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ConstantColorShader(0.2,0.2,0.25,1),
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]
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## uniform culling
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Operators.create(pyDensityUP1D(3.0,2.0e-2, IntegrationType.MEAN, 0.1), shaders_list)
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