self._integration = integration
self._func = DensityF1D(self._wsize, self._integration, sampling)
self._func2 = DensityF1D(self._wsize, IntegrationType.MAX, sampling)
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.bidirectional_chain(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)
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 __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.bidirectional_chain(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)