# ##### BEGIN GPL LICENSE BLOCK ##### # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License # as published by the Free Software Foundation; either version 2 # of the License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software Foundation, # Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. # # ##### END GPL LICENSE BLOCK ##### # Filename : PredicatesB1D.py # Authors : Fredo Durand, Stephane Grabli, Francois Sillion, Emmanuel Turquin # Date : 08/04/2005 # Purpose : Binary predicates (functors) to be used for 1D elements from freestyle import BinaryPredicate1D, GetZF1D, IntegrationType, Nature, SameShapeIdBP1D, ZDiscontinuityF1D from Functions1D import pyViewMapGradientNormF1D import random class pyZBP1D(BinaryPredicate1D): def __call__(self, i1, i2): func = GetZF1D() return (func(i1) > func(i2)) class pyZDiscontinuityBP1D(BinaryPredicate1D): def __init__(self, iType = IntegrationType.MEAN): BinaryPredicate1D.__init__(self) self._GetZDiscontinuity = ZDiscontinuityF1D(iType) def __call__(self, i1, i2): return (self._GetZDiscontinuity(i1) > self._GetZDiscontinuity(i2)) class pyLengthBP1D(BinaryPredicate1D): def __call__(self, i1, i2): return (i1.length_2d > i2.length_2d) class pySilhouetteFirstBP1D(BinaryPredicate1D): def __call__(self, inter1, inter2): bpred = SameShapeIdBP1D() if (bpred(inter1, inter2) != 1): return 0 if (inter1.nature & Nature.SILHOUETTE): return (inter2.nature & Nature.SILHOUETTE) != 0 return (inter1.nature == inter2.nature) class pyNatureBP1D(BinaryPredicate1D): def __call__(self, inter1, inter2): return (inter1.nature & inter2.nature) class pyViewMapGradientNormBP1D(BinaryPredicate1D): def __init__(self,l, sampling=2.0): BinaryPredicate1D.__init__(self) self._GetGradient = pyViewMapGradientNormF1D(l, IntegrationType.MEAN) def __call__(self, i1,i2): print("compare gradient") return (self._GetGradient(i1) > self._GetGradient(i2)) class pyShuffleBP1D(BinaryPredicate1D): def __init__(self): BinaryPredicate1D.__init__(self) random.seed(1) def __call__(self, inter1, inter2): r1 = random.uniform(0,1) r2 = random.uniform(0,1) return (r1