e955c94ed3
Listing the "Blender Foundation" as copyright holder implied the Blender Foundation holds copyright to files which may include work from many developers. While keeping copyright on headers makes sense for isolated libraries, Blender's own code may be refactored or moved between files in a way that makes the per file copyright holders less meaningful. Copyright references to the "Blender Foundation" have been replaced with "Blender Authors", with the exception of `./extern/` since these this contains libraries which are more isolated, any changed to license headers there can be handled on a case-by-case basis. Some directories in `./intern/` have also been excluded: - `./intern/cycles/` it's own `AUTHORS` file is planned. - `./intern/opensubdiv/`. An "AUTHORS" file has been added, using the chromium projects authors file as a template. Design task: #110784 Ref !110783.
69 lines
2.4 KiB
Python
69 lines
2.4 KiB
Python
# SPDX-FileCopyrightText: 2008-2023 Blender Authors
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#
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# SPDX-License-Identifier: GPL-2.0-or-later
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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.chainingiterators import ChainSilhouetteIterator
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from freestyle.functions import DensityF1D
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from freestyle.predicates import (
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NotUP1D,
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QuantitativeInvisibilityUP1D,
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UnaryPredicate1D,
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pyHighDensityAnisotropyUP1D,
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pyHigherLengthUP1D,
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pyLengthBP1D,
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)
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from freestyle.shaders import (
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ConstantColorShader,
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ConstantThicknessShader,
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SamplingShader,
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)
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from freestyle.types import IntegrationType, Operators
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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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