def __init__(self, *predicates):
UnaryPredicate1D.__init__(self)
self.predicates = predicates
# there are cases in which only one predicate is supplied (in the parameter editor)
if len(self.predicates) < 1:
raise ValueError("Expected one or more UnaryPredicate1D, got ",
len(predicates))
def __init__(self, wsize, threshold, functor, funcmin=0.0, funcmax=1.0, integration=IntegrationType.MEAN):
UnaryPredicate1D.__init__(self)
self._threshold = float(threshold)
self._functor = functor
self._funcmin = float(funcmin)
self._funcmax = float(funcmax)
self._func = DensityF1D(wsize, integration)
def __init__(self, *predicates):
UnaryPredicate1D.__init__(self)
self.predicates = predicates
correct_types = all(isinstance(p, UnaryPredicate1D) for p in self.predicates)
if not (correct_types and predicates):
raise TypeError("%s: Expected one or more UnaryPredicate1D, got %r" %
(self.__class__.__name__, self.predicates))
def __init__(self, threshold, orientation, level, integration=IntegrationType.MEAN, sampling=2.0):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._orientation = orientation
self._level = level
self._integration = integration
self._sampling = sampling
def __init__(self, threshold, level, integration=IntegrationType.MEAN, sampling=2.0):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._level = level
self._integration = integration
self._sampling = sampling
self._func = GetCompleteViewMapDensityF1D(self._level, self._integration, self._sampling) # 2.0 is the smpling
def __init__(self, wsize, threshold, functor, funcmin=0.0, funcmax=1.0, integration=IntegrationType.MEAN):
UnaryPredicate1D.__init__(self)
self._threshold = float(threshold)
self._functor = functor
self._funcmin = float(funcmin)
self._funcmax = float(funcmax)
self._func = DensityF1D(wsize, integration)
def __init__(self, id):
UnaryPredicate1D.__init__(self)
if not isinstance(id, Id):
raise TypeError(
"pyIsOccludedByUP1D expected freestyle.types.Id, not " +
type(id).__name__)
self._id = id
def __init__(self, *predicates):
UnaryPredicate1D.__init__(self)
self.predicates = predicates
correct_types = all(isinstance(p, UnaryPredicate1D) for p in self.predicates)
if not (correct_types and predicates):
raise TypeError("%s: Expected one or more UnaryPredicate1D, got %r" %
(self.__class__.__name__, self.predicates))
def __init__(self, threshold, level, integration=IntegrationType.MEAN):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._level = level
self._integration = integration
self._func = GetSteerableViewMapDensityF1D(self._level,
self._integration)
def __init__(self,
threshold,
level,
integration=IntegrationType.MEAN,
sampling=2.0):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._func = GetCompleteViewMapDensityF1D(level, integration, sampling)
def __init__(self,
threshold,
orientation,
level,
integration=IntegrationType.MEAN,
sampling=2.0):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._func = GetDirectionalViewMapDensityF1D(orientation, level,
integration, sampling)
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)
def __init__(self,
threshold,
orientation,
level,
integration=IntegrationType.MEAN):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._orientation = orientation
self._level = level
self._integration = integration
def __init__(self, functor, sigmaMin, sigmaMax, lmin, lmax, tmin, tmax, integration=IntegrationType.MEAN, sampling=2.0):
UnaryPredicate1D.__init__(self)
self._functor = functor
self._sigmaMin = float(sigmaMin)
self._sigmaMax = float(sigmaMax)
self._lmin = float(lmin)
self._lmax = float(lmax)
self._tmin = tmin
self._tmax = tmax
self._integration = integration
self._sampling = sampling
def __init__(self, functor, sigmaMin, sigmaMax, lmin, lmax, tmin, tmax, integration=IntegrationType.MEAN, sampling=2.0):
UnaryPredicate1D.__init__(self)
self._functor = functor
self._sigmaMin = float(sigmaMin)
self._sigmaMax = float(sigmaMax)
self._lmin = float(lmin)
self._lmax = float(lmax)
self._tmin = tmin
self._tmax = tmax
self._integration = integration
self._sampling = sampling
def __init__(self):
UnaryPredicate1D.__init__(self)
self.__func1 = GetOccludersF1D()
self.__func2 = GetShapeF1D()
def __init__(self, pred1, pred2):
UnaryPredicate1D.__init__(self)
self.__pred1 = pred1
self.__pred2 = pred2
def __init__(self, *predicates):
UnaryPredicate1D.__init__(self)
self.predicates = predicates
# there are cases in which only one predicate is supplied (in the parameter editor)
if len(self.predicates) < 1:
raise ValueError("Expected two or more UnaryPredicate1D, got ", len(predicates))
def __init__(self, n, a):
UnaryPredicate1D.__init__(self)
self._n = n
self._a = a
def __init__(self, threshold, level, integration=IntegrationType.MEAN):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._level = level
self._integration = integration
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)
def __init__(self, n, a):
UnaryPredicate1D.__init__(self)
self._n = n
self._a = a
self.func = Curvature2DAngleF0D()
def __init__(self, nature):
UnaryPredicate1D.__init__(self)
self._nature = nature
self._getNature = CurveNatureF1D()
def __init__(self, l):
UnaryPredicate1D.__init__(self)
self._l = l
def __init__(self, n):
UnaryPredicate1D.__init__(self)
self.__n = n
self.__count = 0
def __init__(self, pred):
UnaryPredicate1D.__init__(self)
self.__pred = pred
def __init__(self, idlist):
UnaryPredicate1D.__init__(self)
self._funcs = tuple(ShapeUP1D(_id, 0) for _id in idlist)
def __init__(self, threshold, level, sampling=2.0):
UnaryPredicate1D.__init__(self)
self._l = threshold
self.func = pyDensityAnisotropyF1D(level, IntegrationType.MEAN, sampling)
def __init__(self, z, integration=IntegrationType.MEAN):
UnaryPredicate1D.__init__(self)
self._z = z
self._integration = integration
def __init__(self, threshold, l, sampling=2.0):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._GetGradient = pyViewMapGradientNormF1D(l, IntegrationType.MEAN)
def __init__(self, length_min=None, length_max=None):
UnaryPredicate1D.__init__(self)
self.length_min = length_min
self.length_max = length_max
def __init__(self, pred1, pred2):
UnaryPredicate1D.__init__(self)
self.__pred1 = pred1
self.__pred2 = pred2
def __init__(self, names, negative):
UnaryPredicate1D.__init__(self)
self.names = names
self.negative = negative
def __init__(self,z, integration=IntegrationType.MEAN):
UnaryPredicate1D.__init__(self)
self._z = z
self._integration = integration
def __init__(self,n,a):
UnaryPredicate1D.__init__(self)
self._n = n
self._a = a
def __init__(self, threshold, level, integration=IntegrationType.MEAN):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._func = GetSteerableViewMapDensityF1D(level, integration)
def __init__(self,idlist):
UnaryPredicate1D.__init__(self)
self._idlist = idlist
self._funcs = []
for _id in idlist:
self._funcs.append(ShapeUP1D(_id.first, _id.second))
def __init__(self, idlist):
UnaryPredicate1D.__init__(self)
self._idlist = idlist
self._funcs = []
for _id in idlist:
self._funcs.append(ShapeUP1D(_id.first, _id.second))
def __init__(self, threshold, orientation, level, integration=IntegrationType.MEAN, sampling=2.0):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._func = GetDirectionalViewMapDensityF1D(orientation, level, integration, sampling)
def __init__(self, qi_start, qi_end):
UnaryPredicate1D.__init__(self)
self.getQI = QuantitativeInvisibilityF1D()
self.qi_start = qi_start
self.qi_end = qi_end
def __init__(self, names, negative=False):
UnaryPredicate1D.__init__(self)
self._names = names
self._negative = negative
def __init__(self, length_min=None, length_max=None):
UnaryPredicate1D.__init__(self)
self.length_min = length_min
self.length_max = length_max
def __init__(self, n):
UnaryPredicate1D.__init__(self)
self.__n = n
self.__count = 0
def __init__(self, pred):
UnaryPredicate1D.__init__(self)
self.predicate = pred
def __init__(self, nature):
UnaryPredicate1D.__init__(self)
self._nature = nature
self._getNature = CurveNatureF1D()
def __init__(self, qi_start, qi_end):
UnaryPredicate1D.__init__(self)
self.__getQI = QuantitativeInvisibilityF1D()
self.__qi_start = qi_start
self.__qi_end = qi_end
def __init__(self, z, integration=IntegrationType.MEAN):
UnaryPredicate1D.__init__(self)
self._z = z
self.func = GetProjectedZF1D(integration)
def __init__(self, l):
UnaryPredicate1D.__init__(self)
self._l = l
def __init__(self, id):
UnaryPredicate1D.__init__(self)
if not isinstance(id, Id):
raise TypeError("pyIsOccludedByUP1D expected freestyle.types.Id, not " + type(id).__name__)
self._id = id
def __init__(self, n, a):
UnaryPredicate1D.__init__(self)
self._n = n
self._a = a
self.func = Curvature2DAngleF0D()
def __init__(self):
UnaryPredicate1D.__init__(self)
self.__func1 = GetOccludersF1D()
self.__func2 = GetShapeF1D()
def __init__(self, z, integration=IntegrationType.MEAN):
UnaryPredicate1D.__init__(self)
self._z = z
self.func = GetProjectedZF1D(integration)
def __init__(self, idlist):
UnaryPredicate1D.__init__(self)
self._idlist = idlist
self.__func1 = GetOccludersF1D()
def __init__(self, idlist):
UnaryPredicate1D.__init__(self)
self._idlist = idlist
self.__func1 = GetOccludersF1D()
def __init__(self, idlist):
UnaryPredicate1D.__init__(self)
self._funcs = tuple(ShapeUP1D(_id, 0) for _id in idlist)
def __init__(self, _id):
UnaryPredicate1D.__init__(self)
self._id = _id
def __init__(self, _id):
UnaryPredicate1D.__init__(self)
self._id = _id
def __init__(self, threshold, l, sampling=2.0):
UnaryPredicate1D.__init__(self)
self._threshold = threshold
self._GetGradient = pyViewMapGradientNormF1D(l, IntegrationType.MEAN)
def __init__(self, threshold, level, sampling=2.0):
UnaryPredicate1D.__init__(self)
self._l = threshold
self.func = pyDensityAnisotropyF1D(level, IntegrationType.MEAN, sampling)
