pyNonLinearVaryingThicknessShader,
pySamplingShader,
)
from freestyle.types import IntegrationType, Operators
Operators.select(QuantitativeInvisibilityUP1D(0))
Operators.bidirectional_chain(ChainSilhouetteIterator(),
NotUP1D(QuantitativeInvisibilityUP1D(0)))
## Splits strokes at points of highest 2D curavture
## when there are too many abrupt turns in it
func = pyInverseCurvature2DAngleF0D()
Operators.recursive_split(func, pyParameterUP0D(0.2, 0.8),
NotUP1D(pyHigherNumberOfTurnsUP1D(3, 0.5)), 2)
## Keeps only long enough strokes
Operators.select(pyHigherLengthUP1D(100))
## Sorts so as to draw the longest strokes first
## (this will be done using the causal density)
Operators.sort(pyLengthBP1D())
shaders_list = [
pySamplingShader(10),
BezierCurveShader(30),
SamplingShader(50),
ConstantThicknessShader(10),
pyNonLinearVaryingThicknessShader(4, 25, 0.6),
TextureAssignerShader(6),
ConstantColorShader(0.2, 0.2, 0.2, 1.0),
TipRemoverShader(10),
]
## Use the causal density to avoid cluttering
Operators.create(pyDensityUP1D(8, 0.4, IntegrationType.MEAN), shaders_list)
TipRemoverShader,
pyNonLinearVaryingThicknessShader,
pySamplingShader,
)
from freestyle.types import IntegrationType, Operators
Operators.select(QuantitativeInvisibilityUP1D(0))
Operators.bidirectional_chain(ChainSilhouetteIterator(), NotUP1D(QuantitativeInvisibilityUP1D(0)))
## Splits strokes at points of highest 2D curavture
## when there are too many abrupt turns in it
func = pyInverseCurvature2DAngleF0D()
Operators.recursive_split(func, pyParameterUP0D(0.2, 0.8), NotUP1D(pyHigherNumberOfTurnsUP1D(3, 0.5)), 2)
## Keeps only long enough strokes
Operators.select(pyHigherLengthUP1D(100))
## Sorts so as to draw the longest strokes first
## (this will be done using the causal density)
Operators.sort(pyLengthBP1D())
shaders_list = [
pySamplingShader(10),
BezierCurveShader(30),
SamplingShader(50),
ConstantThicknessShader(10),
pyNonLinearVaryingThicknessShader(4, 25, 0.6),
TextureAssignerShader(6),
ConstantColorShader(0.2, 0.2, 0.2,1.0),
TipRemoverShader(10),
]
## Use the causal density to avoid cluttering
Operators.create(pyDensityUP1D(8, 0.4, IntegrationType.MEAN), shaders_list)