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,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): UnaryPredicate1D.__init__(self) self._threshold = threshold self._level = level self._integration = integration self._func = GetSteerableViewMapDensityF1D(self._level, self._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) self._func2 = DensityF1D(self._wsize, IntegrationType.MAX, sampling)
def __init__(self,wsize,threshold, functor, funcmin=0.0, funcmax=1.0, integration = IntegrationType.MEAN): UnaryPredicate1D.__init__(self) self._wsize = wsize self._threshold = float(threshold) self._functor = functor self._funcmin = float(funcmin) self._funcmax = float(funcmax) 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, 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, 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._wsize = wsize self._threshold = float(threshold) self._functor = functor self._funcmin = float(funcmin) self._funcmax = float(funcmax) 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,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, pred): UnaryPredicate1D.__init__(self) self.__pred = pred
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, n): UnaryPredicate1D.__init__(self) self.__n = n self.__count = 0
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): UnaryPredicate1D.__init__(self) self.__func1 = GetOccludersF1D() self.__func2 = GetShapeF1D()
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, 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)
def __init__(self, _id): UnaryPredicate1D.__init__(self) self._id = _id
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,l): UnaryPredicate1D.__init__(self) self._l = l
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, idlist): UnaryPredicate1D.__init__(self) self._idlist = idlist self.__func1 = GetOccludersF1D()
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)
def __init__(self, pred1, pred2): UnaryPredicate1D.__init__(self) self.__pred1 = pred1 self.__pred2 = pred2
def __init__(self,nature): UnaryPredicate1D.__init__(self) self._nature = nature self._getNature = CurveNatureF1D()
def __init__(self,threshold, level,integration = IntegrationType.MEAN): UnaryPredicate1D.__init__(self) self._threshold = threshold self._level = level self._integration = integration