forked from bartvdbraak/blender
D319: Freestyle Python scripts update.
This revision is meant to update Freestyle's Python scripts to make full usage of the new features of Python and Freestyle's Python API. Freestyle's Python scripts are pretty old already, and were never given much attention. With the 2.7x generation of Blender coming up, this is an excellent time to update Freestyle's Python scripts, hopefully adding some new features and achieving some speed improvements on the way. Main goals: * use for loops where possible * general cleanup, making use of more recent python features (generators, ternary operator, ect.) * update the documentation on the way (it's lacking atm) Differential revision: https://developer.blender.org/D319 Author: flokkievids (Folkert de Vries) Reviewed by: kjym3 (Tamito Kajiyama)
This commit is contained in:
parent
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@ -23,6 +23,20 @@ rules. Also intended to be a collection of examples for defining
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chaining iterators in Python
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"""
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__all__ = (
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"pyChainSilhouetteIterator",
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"pyChainSilhouetteGenericIterator",
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"pyExternalContourChainingIterator",
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"pySketchyChainSilhouetteIterator",
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"pySketchyChainingIterator",
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"pyFillOcclusionsRelativeChainingIterator",
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"pyFillOcclusionsAbsoluteChainingIterator",
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"pyFillOcclusionsAbsoluteAndRelativeChainingIterator",
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"pyFillQi0AbsoluteAndRelativeChainingIterator",
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"pyNoIdChainSilhouetteIterator",
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)
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# module members
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from _freestyle import (
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ChainPredicateIterator,
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@ -41,11 +55,30 @@ from freestyle.predicates import (
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)
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from freestyle.utils import (
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ContextFunctions as CF,
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stroke_normal,
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get_chain_length,
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find_matching_vertex,
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)
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import bpy
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NATURES = (
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Nature.SILHOUETTE,
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Nature.BORDER,
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Nature.CREASE,
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Nature.MATERIAL_BOUNDARY,
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Nature.EDGE_MARK,
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Nature.SUGGESTIVE_CONTOUR,
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Nature.VALLEY,
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Nature.RIDGE
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)
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def nature_in_preceding(nature, index):
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""" Returns True if given nature appears before index, else False """
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return any(nature & nat for nat in NATURES[:index])
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class pyChainSilhouetteIterator(ChainingIterator):
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"""Natural chaining iterator
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@ -61,43 +94,28 @@ class pyChainSilhouetteIterator(ChainingIterator):
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pass
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def traverse(self, iter):
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winner = None
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it = AdjacencyIterator(iter)
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tvertex = self.next_vertex
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if type(tvertex) is TVertex:
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mateVE = tvertex.get_mate(self.current_edge)
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while not it.is_end:
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ve = it.object
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if ve.id == mateVE.id:
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winner = ve
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break
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it.increment()
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else:
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## case of NonTVertex
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natures = [Nature.SILHOUETTE,Nature.BORDER,Nature.CREASE,Nature.MATERIAL_BOUNDARY,Nature.EDGE_MARK,
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Nature.SUGGESTIVE_CONTOUR,Nature.VALLEY,Nature.RIDGE]
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for i in range(len(natures)):
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currentNature = self.current_edge.nature
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if (natures[i] & currentNature) != 0:
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count=0
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while not it.is_end:
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visitNext = 0
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oNature = it.object.nature
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if (oNature & natures[i]) != 0:
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if natures[i] != oNature:
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for j in range(i):
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if (natures[j] & oNature) != 0:
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visitNext = 1
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break
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if visitNext != 0:
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break
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count = count+1
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winner = it.object
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it.increment()
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if count != 1:
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winner = None
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break
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return winner
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## case of TVertex
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vertex = self.next_vertex
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if type(vertex) is TVertex:
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mate = vertex.get_mate(self.current_edge)
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return find_matching_vertex(mate.id, it)
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## case of NonTVertex
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winner = None
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for i, nat in enumerate(NATURES):
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if (nat & self.current_edge.nature):
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for ve in it:
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ve_nat = ve.nature
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if (ve_nat & nat):
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# search for matches in previous natures. if match -> break
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if nat != ve_nat and nature_in_preceding(ve_nat, index=i):
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break
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# a second match must be an error
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if winner is not None:
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return None
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# assign winner
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winner = ve
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return winner
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class pyChainSilhouetteGenericIterator(ChainingIterator):
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@ -120,47 +138,30 @@ class pyChainSilhouetteGenericIterator(ChainingIterator):
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pass
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def traverse(self, iter):
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winner = None
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it = AdjacencyIterator(iter)
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tvertex = self.next_vertex
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if type(tvertex) is TVertex:
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mateVE = tvertex.get_mate(self.current_edge)
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while not it.is_end:
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ve = it.object
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if ve.id == mateVE.id:
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winner = ve
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break
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it.increment()
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else:
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## case of NonTVertex
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natures = [Nature.SILHOUETTE,Nature.BORDER,Nature.CREASE,Nature.MATERIAL_BOUNDARY,Nature.EDGE_MARK,
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Nature.SUGGESTIVE_CONTOUR,Nature.VALLEY,Nature.RIDGE]
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for i in range(len(natures)):
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currentNature = self.current_edge.nature
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if (natures[i] & currentNature) != 0:
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count=0
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while not it.is_end:
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visitNext = 0
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oNature = it.object.nature
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ve = it.object
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if ve.id == self.current_edge.id:
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it.increment()
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continue
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if (oNature & natures[i]) != 0:
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if natures[i] != oNature:
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for j in range(i):
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if (natures[j] & oNature) != 0:
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visitNext = 1
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break
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if visitNext != 0:
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break
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count = count+1
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winner = ve
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it.increment()
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if count != 1:
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winner = None
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break
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return winner
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## case of TVertex
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vertex = self.next_vertex
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if type(vertex) is TVertex:
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mate = vertex.get_mate(self.current_edge)
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return find_matching_vertex(mate.id, it)
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## case of NonTVertex
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winner = None
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for i, nat in enumerate(NATURES):
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if (nat & self.current_edge.nature):
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for ve in it:
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ve_nat = ve.nature
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if ve.id == self.current_edge.id:
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continue
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if (ve_nat & nat):
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if nat != ve_nat and nature_in_preceding(ve_nat, index=i):
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break
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if winner is not None:
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return None
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winner = ve
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return winner
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return None
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class pyExternalContourChainingIterator(ChainingIterator):
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@ -168,49 +169,40 @@ class pyExternalContourChainingIterator(ChainingIterator):
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def __init__(self):
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ChainingIterator.__init__(self, False, True, None, True)
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self._isExternalContour = ExternalContourUP1D()
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self.ExternalContour = ExternalContourUP1D()
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def init(self):
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self._nEdges = 0
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self._isInSelection = 1
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def checkViewEdge(self, ve, orientation):
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if orientation != 0:
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vertex = ve.second_svertex()
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else:
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vertex = ve.first_svertex()
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it = AdjacencyIterator(vertex,1,1)
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while not it.is_end:
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ave = it.object
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if self._isExternalContour(ave):
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return True
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it.increment()
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if bpy.app.debug_freestyle:
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vertex = (ve.first_viewvertex if orientation else
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ve.last_viewvertex)
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it = AdjacencyIterator(vertex, True, True)
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result = any(self.ExternalContour(ave) for ave in it)
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# report if there is no result (that's bad)
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if not result and bpy.app.debug_freestyle:
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print("pyExternalContourChainingIterator : didn't find next edge")
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return False
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return result
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def traverse(self, iter):
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winner = None
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it = AdjacencyIterator(iter)
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while not it.is_end:
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ve = it.object
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if self._isExternalContour(ve):
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if ve.time_stamp == CF.get_time_stamp():
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winner = ve
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it.increment()
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self._nEdges += 1
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it = AdjacencyIterator(iter)
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time_stamp = CF.get_time_stamp()
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for ve in it:
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if self.ExternalContour(ve) and ve.time_stamp == time_stamp:
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winner = ve
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self._nEdges = self._nEdges+1
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if winner is None:
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orient = 1
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it = AdjacencyIterator(iter)
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while not it.is_end:
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ve = it.object
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if it.is_incoming:
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orient = 0
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good = self.checkViewEdge(ve,orient)
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if good != 0:
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for ve in it:
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if self.checkViewEdge(ve, not it.is_incoming):
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winner = ve
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it.increment()
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return winner
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@ -227,58 +219,49 @@ class pySketchyChainSilhouetteIterator(ChainingIterator):
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def __init__(self, nRounds=3,stayInSelection=True):
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ChainingIterator.__init__(self, stayInSelection, False, None, True)
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self._timeStamp = CF.get_time_stamp()+nRounds
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self._timeStamp = CF.get_time_stamp() + nRounds
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self._nRounds = nRounds
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def init(self):
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self._timeStamp = CF.get_time_stamp()+self._nRounds
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self._timeStamp = CF.get_time_stamp() + self._nRounds
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# keeping this local saves passing a reference to 'self' around
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def make_sketchy(self, ve):
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"""
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Creates the skeychy effect by causing the chain to run from
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the start again. (loop over itself again)
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"""
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if ve is None:
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ve = self.current_edge
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if ve.chaining_time_stamp == self._timeStamp:
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return None
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return ve
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def traverse(self, iter):
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winner = None
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it = AdjacencyIterator(iter)
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tvertex = self.next_vertex
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if type(tvertex) is TVertex:
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mateVE = tvertex.get_mate(self.current_edge)
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while not it.is_end:
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ve = it.object
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if ve.id == mateVE.id:
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winner = ve
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break
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it.increment()
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else:
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## case of NonTVertex
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natures = [Nature.SILHOUETTE,Nature.BORDER,Nature.CREASE,Nature.MATERIAL_BOUNDARY,Nature.EDGE_MARK,
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Nature.SUGGESTIVE_CONTOUR,Nature.VALLEY,Nature.RIDGE]
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for i in range(len(natures)):
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currentNature = self.current_edge.nature
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if (natures[i] & currentNature) != 0:
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count=0
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while not it.is_end:
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visitNext = 0
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oNature = it.object.nature
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ve = it.object
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if ve.id == self.current_edge.id:
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it.increment()
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continue
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if (oNature & natures[i]) != 0:
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if (natures[i] != oNature) != 0:
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for j in range(i):
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if (natures[j] & oNature) != 0:
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visitNext = 1
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break
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if visitNext != 0:
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break
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count = count+1
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winner = ve
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it.increment()
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if count != 1:
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winner = None
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break
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if winner is None:
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winner = self.current_edge
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if winner.chaining_time_stamp == self._timeStamp:
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winner = None
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return winner
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## case of TVertex
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vertex = self.next_vertex
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if type(vertex) is TVertex:
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mate = vertex.get_mate(self.current_edge)
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return self.make_sketchy(find_matching_vertex(mate.id, it))
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## case of NonTVertex
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winner = None
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for i, nat in enumerate(NATURES):
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if (nat & self.current_edge.nature):
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for ve in it:
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if ve.id == self.current_edge.id:
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continue
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ve_nat = ve.nature
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if (ve_nat & nat):
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if nat != ve_nat and nature_in_preceding(ve_nat, i):
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break
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if winner is not None:
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return self.make_sketchy(None)
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winner = ve
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break
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return self.make_sketchy(winner)
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class pySketchyChainingIterator(ChainingIterator):
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@ -289,30 +272,30 @@ class pySketchyChainingIterator(ChainingIterator):
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"""
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def __init__(self, nRounds=3, stayInSelection=True):
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ChainingIterator.__init__(self, stayInSelection, False, None, True)
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self._timeStamp = CF.get_time_stamp()+nRounds
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self._timeStamp = CF.get_time_stamp() + nRounds
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self._nRounds = nRounds
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self.t = False
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def init(self):
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self._timeStamp = CF.get_time_stamp()+self._nRounds
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self._timeStamp = CF.get_time_stamp() + self._nRounds
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def traverse(self, iter):
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winner = None
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found = False
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it = AdjacencyIterator(iter)
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while not it.is_end:
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ve = it.object
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if ve.id == self.current_edge.id:
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for ve in AdjacencyIterator(iter):
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if self.current_edge.id == ve.id:
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found = True
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it.increment()
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continue
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winner = ve
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it.increment()
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if not found:
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# This is a fatal error condition: self.current_edge must be found
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# among the edges seen by the AdjacencyIterator [bug #35695].
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if bpy.app.debug_freestyle:
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print('pySketchyChainingIterator: current edge not found')
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return None
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if winner is None:
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winner = self.current_edge
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if winner.chaining_time_stamp == self._timeStamp:
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@ -330,97 +313,61 @@ class pyFillOcclusionsRelativeChainingIterator(ChainingIterator):
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def __init__(self, percent):
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ChainingIterator.__init__(self, False, True, None, True)
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self._length = 0
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self._length = 0.0
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self._percent = float(percent)
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self.timestamp = CF.get_time_stamp()
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def init(self):
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# A chain's length should preferably be evaluated only once.
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# Therefore, the chain length is reset here.
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self._length = 0
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self._length = 0.0
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def traverse(self, iter):
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winner = None
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winnerOrientation = False
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winnerOrientation = 0
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#print(self.current_edge.id.first, self.current_edge.id.second)
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it = AdjacencyIterator(iter)
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tvertex = self.next_vertex
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if type(tvertex) is TVertex:
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mateVE = tvertex.get_mate(self.current_edge)
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while not it.is_end:
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ve = it.object
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if ve.id == mateVE.id:
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winner = ve
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winnerOrientation = not it.is_incoming
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break
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it.increment()
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## case of TVertex
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vertex = self.next_vertex
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if type(vertex) is TVertex:
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mate = vertex.get_mate(self.current_edge)
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winner = find_matching_vertex(mate.id, it)
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winnerOrientation = not it.is_incoming if not it.is_end else False
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## case of NonTVertex
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else:
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## case of NonTVertex
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natures = [Nature.SILHOUETTE,Nature.BORDER,Nature.CREASE,Nature.MATERIAL_BOUNDARY,Nature.EDGE_MARK,
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Nature.SUGGESTIVE_CONTOUR,Nature.VALLEY,Nature.RIDGE]
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for nat in natures:
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if (self.current_edge.nature & nat) != 0:
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count=0
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while not it.is_end:
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ve = it.object
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if (ve.nature & nat) != 0:
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count = count+1
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for nat in NATURES:
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if (self.current_edge.nature & nat):
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for ve in it:
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if (ve.nature & nat):
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if winner is not None:
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return None
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winner = ve
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winnerOrientation = not it.is_incoming
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it.increment()
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if count != 1:
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winner = None
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break
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if winner is not None:
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# check whether this edge was part of the selection
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if winner.time_stamp != CF.get_time_stamp():
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#print("---", winner.id.first, winner.id.second)
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# if not, let's check whether it's short enough with
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# respect to the chain made without staying in the selection
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#------------------------------------------------------------
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# Did we compute the prospective chain length already ?
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if self._length == 0:
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#if not, let's do it
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_it = pyChainSilhouetteGenericIterator(False, False)
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_it.begin = winner
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_it.current_edge = winner
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_it.orientation = winnerOrientation
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_it.init()
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while not _it.is_end:
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ve = _it.object
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#print("--------", ve.id.first, ve.id.second)
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self._length = self._length + ve.length_2d
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_it.increment()
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if _it.is_begin:
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break;
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_it.begin = winner
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_it.current_edge = winner
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_it.orientation = winnerOrientation
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||||
if not _it.is_begin:
|
||||
_it.decrement()
|
||||
while (not _it.is_end) and (not _it.is_begin):
|
||||
ve = _it.object
|
||||
#print("--------", ve.id.first, ve.id.second)
|
||||
self._length = self._length + ve.length_2d
|
||||
_it.decrement()
|
||||
|
||||
# let's do the comparison:
|
||||
# nw let's compute the length of this connex non selected part:
|
||||
connexl = 0
|
||||
# check timestamp to see if this edge was part of the selection
|
||||
if winner is not None and winner.time_stamp != self.timestamp:
|
||||
# if the edge wasn't part of the selection, let's see
|
||||
# whether it's short enough (with respect to self.percent)
|
||||
# to be included.
|
||||
if self._length == 0.0:
|
||||
self._length = get_chain_length(winner, winnerOrientation)
|
||||
|
||||
# check if the gap can be bridged
|
||||
connexl = 0.0
|
||||
_cit = pyChainSilhouetteGenericIterator(False, False)
|
||||
_cit.begin = winner
|
||||
_cit.current_edge = winner
|
||||
_cit.orientation = winnerOrientation
|
||||
_cit.init()
|
||||
|
||||
while (not _cit.is_end) and _cit.object.time_stamp != self.timestamp:
|
||||
connexl += _cit.object.length_2d
|
||||
_cit.increment()
|
||||
if _cit.is_begin: break
|
||||
|
||||
if connexl > self._percent * self._length:
|
||||
return None
|
||||
|
||||
_cit = pyChainSilhouetteGenericIterator(False, False)
|
||||
_cit.begin = winner
|
||||
_cit.current_edge = winner
|
||||
_cit.orientation = winnerOrientation
|
||||
_cit.init()
|
||||
while _cit.is_end == 0 and _cit.object.time_stamp != CF.get_time_stamp():
|
||||
ve = _cit.object
|
||||
#print("-------- --------", ve.id.first, ve.id.second)
|
||||
connexl = connexl + ve.length_2d
|
||||
_cit.increment()
|
||||
if connexl > self._percent * self._length:
|
||||
winner = None
|
||||
return winner
|
||||
|
||||
|
||||
@ -433,6 +380,7 @@ class pyFillOcclusionsAbsoluteChainingIterator(ChainingIterator):
|
||||
def __init__(self, length):
|
||||
ChainingIterator.__init__(self, False, True, None, True)
|
||||
self._length = float(length)
|
||||
self.timestamp = CF.get_time_stamp()
|
||||
|
||||
def init(self):
|
||||
pass
|
||||
@ -440,53 +388,41 @@ class pyFillOcclusionsAbsoluteChainingIterator(ChainingIterator):
|
||||
def traverse(self, iter):
|
||||
winner = None
|
||||
winnerOrientation = False
|
||||
#print(self.current_edge.id.first, self.current_edge.id.second)
|
||||
it = AdjacencyIterator(iter)
|
||||
tvertex = self.next_vertex
|
||||
if type(tvertex) is TVertex:
|
||||
mateVE = tvertex.get_mate(self.current_edge)
|
||||
while not it.is_end:
|
||||
ve = it.object
|
||||
if ve.id == mateVE.id:
|
||||
winner = ve
|
||||
winnerOrientation = not it.is_incoming
|
||||
break
|
||||
it.increment()
|
||||
## case of TVertex
|
||||
vertex = self.next_vertex
|
||||
if type(vertex) is TVertex:
|
||||
mate = vertex.get_mate(self.current_edge)
|
||||
winner = find_matching_vertex(mate.id, it)
|
||||
winnerOrientation = not it.is_incoming if not it.is_end else False
|
||||
## case of NonTVertex
|
||||
else:
|
||||
## case of NonTVertex
|
||||
natures = [Nature.SILHOUETTE,Nature.BORDER,Nature.CREASE,Nature.MATERIAL_BOUNDARY,Nature.EDGE_MARK,
|
||||
Nature.SUGGESTIVE_CONTOUR,Nature.VALLEY,Nature.RIDGE]
|
||||
for nat in natures:
|
||||
if (self.current_edge.nature & nat) != 0:
|
||||
count=0
|
||||
while not it.is_end:
|
||||
ve = it.object
|
||||
if (ve.nature & nat) != 0:
|
||||
count = count+1
|
||||
for nat in NATURES:
|
||||
if (self.current_edge.nature & nat):
|
||||
for ve in it:
|
||||
if (ve.nature & nat):
|
||||
if winner is not None:
|
||||
return None
|
||||
winner = ve
|
||||
winnerOrientation = not it.is_incoming
|
||||
it.increment()
|
||||
if count != 1:
|
||||
winner = None
|
||||
break
|
||||
if winner is not None:
|
||||
# check whether this edge was part of the selection
|
||||
if winner.time_stamp != CF.get_time_stamp():
|
||||
#print("---", winner.id.first, winner.id.second)
|
||||
# nw let's compute the length of this connex non selected part:
|
||||
connexl = 0
|
||||
_cit = pyChainSilhouetteGenericIterator(False, False)
|
||||
_cit.begin = winner
|
||||
_cit.current_edge = winner
|
||||
_cit.orientation = winnerOrientation
|
||||
_cit.init()
|
||||
while _cit.is_end == 0 and _cit.object.time_stamp != CF.get_time_stamp():
|
||||
ve = _cit.object
|
||||
#print("-------- --------", ve.id.first, ve.id.second)
|
||||
connexl = connexl + ve.length_2d
|
||||
_cit.increment()
|
||||
if connexl > self._length:
|
||||
winner = None
|
||||
|
||||
if winner is not None and winner.time_stamp != self.timestamp:
|
||||
connexl = 0.0
|
||||
_cit = pyChainSilhouetteGenericIterator(False, False)
|
||||
_cit.begin = winner
|
||||
_cit.current_edge = winner
|
||||
_cit.orientation = winnerOrientation
|
||||
_cit.init()
|
||||
|
||||
while (not _cit.is_end) and _cit.object.time_stamp != self.timestamp:
|
||||
connexl += _cit.object.length_2d
|
||||
_cit.increment()
|
||||
if _cit.is_begin: break
|
||||
|
||||
if connexl > self._length:
|
||||
return None
|
||||
|
||||
return winner
|
||||
|
||||
|
||||
@ -500,7 +436,7 @@ class pyFillOcclusionsAbsoluteAndRelativeChainingIterator(ChainingIterator):
|
||||
"""
|
||||
def __init__(self, percent, l):
|
||||
ChainingIterator.__init__(self, False, True, None, True)
|
||||
self._length = 0
|
||||
self._length = 0.0
|
||||
self._absLength = l
|
||||
self._percent = float(percent)
|
||||
|
||||
@ -508,88 +444,48 @@ class pyFillOcclusionsAbsoluteAndRelativeChainingIterator(ChainingIterator):
|
||||
# each time we're evaluating a chain length
|
||||
# we try to do it once. Thus we reinit
|
||||
# the chain length here:
|
||||
self._length = 0
|
||||
self._length = 0.0
|
||||
|
||||
def traverse(self, iter):
|
||||
winner = None
|
||||
winnerOrientation = False
|
||||
#print(self.current_edge.id.first, self.current_edge.id.second)
|
||||
it = AdjacencyIterator(iter)
|
||||
tvertex = self.next_vertex
|
||||
if type(tvertex) is TVertex:
|
||||
mateVE = tvertex.get_mate(self.current_edge)
|
||||
while not it.is_end:
|
||||
ve = it.object
|
||||
if ve.id == mateVE.id:
|
||||
winner = ve
|
||||
winnerOrientation = not it.is_incoming
|
||||
break
|
||||
it.increment()
|
||||
## case of TVertex
|
||||
vertex = self.next_vertex
|
||||
if type(vertex) is TVertex:
|
||||
mate = vertex.get_mate(self.current_edge)
|
||||
winner = find_matching_vertex(mate.id, it)
|
||||
winnerOrientation = not it.is_incoming if not it.is_end else False
|
||||
## case of NonTVertex
|
||||
else:
|
||||
## case of NonTVertex
|
||||
natures = [Nature.SILHOUETTE,Nature.BORDER,Nature.CREASE,Nature.MATERIAL_BOUNDARY,Nature.EDGE_MARK,
|
||||
Nature.SUGGESTIVE_CONTOUR,Nature.VALLEY,Nature.RIDGE]
|
||||
for nat in natures:
|
||||
if (self.current_edge.nature & nat) != 0:
|
||||
count=0
|
||||
while not it.is_end:
|
||||
ve = it.object
|
||||
if (ve.nature & nat) != 0:
|
||||
count = count+1
|
||||
for nat in NATURES:
|
||||
if (self.current_edge.nature & nat):
|
||||
for ve in it:
|
||||
if (ve.nature & nat):
|
||||
if winner is not None:
|
||||
return None
|
||||
winner = ve
|
||||
winnerOrientation = not it.is_incoming
|
||||
it.increment()
|
||||
if count != 1:
|
||||
winner = None
|
||||
break
|
||||
if winner is not None:
|
||||
# check whether this edge was part of the selection
|
||||
if winner.time_stamp != CF.get_time_stamp():
|
||||
#print("---", winner.id.first, winner.id.second)
|
||||
# if not, let's check whether it's short enough with
|
||||
# respect to the chain made without staying in the selection
|
||||
#------------------------------------------------------------
|
||||
# Did we compute the prospective chain length already ?
|
||||
if self._length == 0:
|
||||
#if not, let's do it
|
||||
_it = pyChainSilhouetteGenericIterator(False, False)
|
||||
_it.begin = winner
|
||||
_it.current_edge = winner
|
||||
_it.orientation = winnerOrientation
|
||||
_it.init()
|
||||
while not _it.is_end:
|
||||
ve = _it.object
|
||||
#print("--------", ve.id.first, ve.id.second)
|
||||
self._length = self._length + ve.length_2d
|
||||
_it.increment()
|
||||
if _it.is_begin:
|
||||
break;
|
||||
_it.begin = winner
|
||||
_it.current_edge = winner
|
||||
_it.orientation = winnerOrientation
|
||||
if not _it.is_begin:
|
||||
_it.decrement()
|
||||
while (not _it.is_end) and (not _it.is_begin):
|
||||
ve = _it.object
|
||||
#print("--------", ve.id.first, ve.id.second)
|
||||
self._length = self._length + ve.length_2d
|
||||
_it.decrement()
|
||||
|
||||
# let's do the comparison:
|
||||
# nw let's compute the length of this connex non selected part:
|
||||
connexl = 0
|
||||
if winner is not None and winner.time_stamp != CF.get_time_stamp():
|
||||
|
||||
if self._length == 0.0:
|
||||
self._length = get_chain_length(winner, winnerOrientation)
|
||||
|
||||
connexl = 0.0
|
||||
_cit = pyChainSilhouetteGenericIterator(False, False)
|
||||
_cit.begin = winner
|
||||
_cit.current_edge = winner
|
||||
_cit.orientation = winnerOrientation
|
||||
_cit.init()
|
||||
while _cit.is_end == 0 and _cit.object.time_stamp != CF.get_time_stamp():
|
||||
ve = _cit.object
|
||||
#print("-------- --------", ve.id.first, ve.id.second)
|
||||
connexl = connexl + ve.length_2d
|
||||
while (not _cit.is_end) and _cit.object.time_stamp != CF.get_time_stamp():
|
||||
connexl += _cit.object.length_2d
|
||||
_cit.increment()
|
||||
if _cit.is_begin: break
|
||||
|
||||
if (connexl > self._percent * self._length) or (connexl > self._absLength):
|
||||
winner = None
|
||||
return None
|
||||
return winner
|
||||
|
||||
|
||||
@ -603,96 +499,55 @@ class pyFillQi0AbsoluteAndRelativeChainingIterator(ChainingIterator):
|
||||
"""
|
||||
def __init__(self, percent, l):
|
||||
ChainingIterator.__init__(self, False, True, None, True)
|
||||
self._length = 0
|
||||
self._length = 0.0
|
||||
self._absLength = l
|
||||
self._percent = float(percent)
|
||||
self._percent = percent
|
||||
|
||||
def init(self):
|
||||
# A chain's length should preverably be evaluated only once.
|
||||
# Therefore, the chain length is reset here.
|
||||
self._length = 0
|
||||
self._length = 0.0
|
||||
|
||||
def traverse(self, iter):
|
||||
winner = None
|
||||
winnerOrientation = False
|
||||
|
||||
#print(self.current_edge.id.first, self.current_edge.id.second)
|
||||
it = AdjacencyIterator(iter)
|
||||
tvertex = self.next_vertex
|
||||
if type(tvertex) is TVertex:
|
||||
mateVE = tvertex.get_mate(self.current_edge)
|
||||
while not it.is_end:
|
||||
ve = it.object
|
||||
if ve.id == mateVE.id:
|
||||
winner = ve
|
||||
winnerOrientation = not it.is_incoming
|
||||
break
|
||||
it.increment()
|
||||
## case of TVertex
|
||||
vertex = self.next_vertex
|
||||
if type(vertex) is TVertex:
|
||||
mate = vertex.get_mate(self.current_edge)
|
||||
winner = find_matching_vertex(mate.id, it)
|
||||
winnerOrientation = not it.is_incoming if not it.is_end else False
|
||||
## case of NonTVertex
|
||||
else:
|
||||
## case of NonTVertex
|
||||
natures = [Nature.SILHOUETTE,Nature.BORDER,Nature.CREASE,Nature.MATERIAL_BOUNDARY,Nature.EDGE_MARK,
|
||||
Nature.SUGGESTIVE_CONTOUR,Nature.VALLEY,Nature.RIDGE]
|
||||
for nat in natures:
|
||||
if (self.current_edge.nature & nat) != 0:
|
||||
count=0
|
||||
while not it.is_end:
|
||||
ve = it.object
|
||||
if (ve.nature & nat) != 0:
|
||||
count = count+1
|
||||
for nat in NATURES:
|
||||
if (self.current_edge.nature & nat):
|
||||
for ve in it:
|
||||
if (ve.nature & nat):
|
||||
if winner is not None:
|
||||
return None
|
||||
winner = ve
|
||||
winnerOrientation = not it.is_incoming
|
||||
it.increment()
|
||||
if count != 1:
|
||||
winner = None
|
||||
break
|
||||
if winner is not None:
|
||||
# check whether this edge was part of the selection
|
||||
if winner.qi != 0:
|
||||
#print("---", winner.id.first, winner.id.second)
|
||||
# if not, let's check whether it's short enough with
|
||||
# respect to the chain made without staying in the selection
|
||||
#------------------------------------------------------------
|
||||
# Did we compute the prospective chain length already ?
|
||||
if self._length == 0:
|
||||
#if not, let's do it
|
||||
_it = pyChainSilhouetteGenericIterator(False, False)
|
||||
_it.begin = winner
|
||||
_it.current_edge = winner
|
||||
_it.orientation = winnerOrientation
|
||||
_it.init()
|
||||
while not _it.is_end:
|
||||
ve = _it.object
|
||||
#print("--------", ve.id.first, ve.id.second)
|
||||
self._length = self._length + ve.length_2d
|
||||
_it.increment()
|
||||
if _it.is_begin:
|
||||
break;
|
||||
_it.begin = winner
|
||||
_it.current_edge = winner
|
||||
_it.orientation = winnerOrientation
|
||||
if not _it.is_begin:
|
||||
_it.decrement()
|
||||
while (not _it.is_end) and (not _it.is_begin):
|
||||
ve = _it.object
|
||||
#print("--------", ve.id.first, ve.id.second)
|
||||
self._length = self._length + ve.length_2d
|
||||
_it.decrement()
|
||||
|
||||
# let's do the comparison:
|
||||
# nw let's compute the length of this connex non selected part:
|
||||
if winner is not None and winner.qi:
|
||||
|
||||
|
||||
if self._length == 0.0:
|
||||
self._length = get_chain_length(winner, winnerOrientation)
|
||||
|
||||
connexl = 0
|
||||
_cit = pyChainSilhouetteGenericIterator(False, False)
|
||||
_cit.begin = winner
|
||||
_cit.current_edge = winner
|
||||
_cit.orientation = winnerOrientation
|
||||
_cit.init()
|
||||
while not _cit.is_end and _cit.object.qi != 0:
|
||||
ve = _cit.object
|
||||
#print("-------- --------", ve.id.first, ve.id.second)
|
||||
connexl = connexl + ve.length_2d
|
||||
while (not _cit.is_end) and _cit.object.qi != 0:
|
||||
connexl += _cit.object.length_2d
|
||||
_cit.increment()
|
||||
if _cit.is_begin: break
|
||||
if (connexl > self._percent * self._length) or (connexl > self._absLength):
|
||||
winner = None
|
||||
return None
|
||||
return winner
|
||||
|
||||
|
||||
@ -717,63 +572,44 @@ class pyNoIdChainSilhouetteIterator(ChainingIterator):
|
||||
def traverse(self, iter):
|
||||
winner = None
|
||||
it = AdjacencyIterator(iter)
|
||||
tvertex = self.next_vertex
|
||||
if type(tvertex) is TVertex:
|
||||
mateVE = tvertex.get_mate(self.current_edge)
|
||||
while not it.is_end:
|
||||
ve = it.object
|
||||
feB = self.current_edge.last_fedge
|
||||
feA = ve.first_fedge
|
||||
vB = feB.second_svertex
|
||||
vA = feA.first_svertex
|
||||
# case of TVertex
|
||||
vertex = self.next_vertex
|
||||
if type(vertex) is TVertex:
|
||||
for ve in it:
|
||||
# case one
|
||||
vA = self.current_edge.last_fedge.second_svertex
|
||||
vB = ve.first_fedge.first_svertex
|
||||
if vA.id.first == vB.id.first:
|
||||
winner = ve
|
||||
break
|
||||
feA = self.current_edge.first_fedge
|
||||
feB = ve.last_fedge
|
||||
vB = feB.second_svertex
|
||||
vA = feA.first_svertex
|
||||
return ve
|
||||
# case two
|
||||
vA = self.current_edge.first_fedge.first_svertex
|
||||
vB = ve.last_fedge.second_svertex
|
||||
if vA.id.first == vB.id.first:
|
||||
winner = ve
|
||||
break
|
||||
feA = self.current_edge.last_fedge
|
||||
feB = ve.last_fedge
|
||||
vB = feB.second_svertex
|
||||
vA = feA.second_svertex
|
||||
return ve
|
||||
# case three
|
||||
vA = self.current_edge.last_fedge.second_svertex
|
||||
vB = ve.last_fedge.second_svertex
|
||||
if vA.id.first == vB.id.first:
|
||||
winner = ve
|
||||
break
|
||||
feA = self.current_edge.first_fedge
|
||||
feB = ve.first_fedge
|
||||
vB = feB.first_svertex
|
||||
vA = feA.first_svertex
|
||||
return ve
|
||||
# case four
|
||||
vA = self.current_edge.first_fedge.first_svertex
|
||||
vB = ve.first_fedge.first_svertex
|
||||
if vA.id.first == vB.id.first:
|
||||
winner = ve
|
||||
break
|
||||
it.increment()
|
||||
return ve
|
||||
return None
|
||||
## case of NonTVertex
|
||||
else:
|
||||
## case of NonTVertex
|
||||
natures = [Nature.SILHOUETTE,Nature.BORDER,Nature.CREASE,Nature.MATERIAL_BOUNDARY,Nature.EDGE_MARK,
|
||||
Nature.SUGGESTIVE_CONTOUR,Nature.VALLEY,Nature.RIDGE]
|
||||
for i in range(len(natures)):
|
||||
currentNature = self.current_edge.nature
|
||||
if (natures[i] & currentNature) != 0:
|
||||
count=0
|
||||
while not it.is_end:
|
||||
visitNext = 0
|
||||
oNature = it.object.nature
|
||||
if (oNature & natures[i]) != 0:
|
||||
if natures[i] != oNature:
|
||||
for j in range(i):
|
||||
if (natures[j] & oNature) != 0:
|
||||
visitNext = 1
|
||||
break
|
||||
if visitNext != 0:
|
||||
break
|
||||
count = count+1
|
||||
winner = it.object
|
||||
it.increment()
|
||||
if count != 1:
|
||||
winner = None
|
||||
break
|
||||
return winner
|
||||
for i, nat in enumerate(NATURES):
|
||||
if (nat & self.current_edge.nature):
|
||||
for ve in it:
|
||||
ve_nat = ve.nature
|
||||
if (ve_nat & nat):
|
||||
if (nat != ve_nat) and any(n & ve_nat for n in NATURES[:i]):
|
||||
break
|
||||
|
||||
if winner is not None:
|
||||
return
|
||||
|
||||
winner = ve
|
||||
return winner
|
||||
return None
|
||||
|
@ -91,8 +91,8 @@ from freestyle.utils import integrate
|
||||
|
||||
from mathutils import Vector
|
||||
|
||||
## Functions for 0D elements (vertices)
|
||||
#######################################
|
||||
|
||||
# -- Functions for 0D elements (vertices) -- #
|
||||
|
||||
|
||||
class CurveMaterialF0D(UnaryFunction0DMaterial):
|
||||
@ -104,7 +104,7 @@ class CurveMaterialF0D(UnaryFunction0DMaterial):
|
||||
cp = inter.object
|
||||
assert(isinstance(cp, CurvePoint))
|
||||
fe = cp.first_svertex.get_fedge(cp.second_svertex)
|
||||
assert(fe is not None)
|
||||
assert(fe is not None), "CurveMaterialF0D: fe is None"
|
||||
return fe.material if fe.is_smooth else fe.material_left
|
||||
|
||||
|
||||
@ -140,11 +140,7 @@ class pyDensityAnisotropyF0D(UnaryFunction0DDouble):
|
||||
c_3 = self.d3Density(inter)
|
||||
cMax = max(max(c_0,c_1), max(c_2,c_3))
|
||||
cMin = min(min(c_0,c_1), min(c_2,c_3))
|
||||
if c_iso == 0:
|
||||
v = 0
|
||||
else:
|
||||
v = (cMax-cMin)/c_iso
|
||||
return v
|
||||
return 0 if (c_iso == 0) else (cMax-cMin) / c_iso
|
||||
|
||||
|
||||
class pyViewMapGradientVectorF0D(UnaryFunction0DVec2f):
|
||||
@ -161,9 +157,9 @@ class pyViewMapGradientVectorF0D(UnaryFunction0DVec2f):
|
||||
def __call__(self, iter):
|
||||
p = iter.object.point_2d
|
||||
gx = CF.read_complete_view_map_pixel(self._l, int(p.x+self._step), int(p.y)) - \
|
||||
CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y))
|
||||
CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y))
|
||||
gy = CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y+self._step)) - \
|
||||
CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y))
|
||||
CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y))
|
||||
return Vector((gx, gy))
|
||||
|
||||
|
||||
@ -171,19 +167,18 @@ class pyViewMapGradientNormF0D(UnaryFunction0DDouble):
|
||||
def __init__(self, l):
|
||||
UnaryFunction0DDouble.__init__(self)
|
||||
self._l = l
|
||||
self._step = pow(2,self._l)
|
||||
self._step = pow(2, self._l)
|
||||
|
||||
def __call__(self, iter):
|
||||
p = iter.object.point_2d
|
||||
gx = CF.read_complete_view_map_pixel(self._l, int(p.x+self._step), int(p.y)) - \
|
||||
CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y))
|
||||
gy = CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y+self._step)) - \
|
||||
CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y))
|
||||
grad = Vector((gx, gy))
|
||||
return grad.length
|
||||
gx = CF.read_complete_view_map_pixel(self._l, int(p.x + self._step), int(p.y)) - \
|
||||
CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y))
|
||||
gy = CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y + self._step)) - \
|
||||
CF.read_complete_view_map_pixel(self._l, int(p.x), int(p.y))
|
||||
return Vector((gx, gy)).length
|
||||
|
||||
## Functions for 1D elements (curves)
|
||||
#####################################
|
||||
|
||||
# -- Functions for 1D elements (curves) -- #
|
||||
|
||||
|
||||
class pyGetInverseProjectedZF1D(UnaryFunction1DDouble):
|
||||
|
@ -51,6 +51,7 @@ from freestyle.types import (
|
||||
TVertex,
|
||||
UnaryPredicate0D,
|
||||
UnaryPredicate1D,
|
||||
Id,
|
||||
)
|
||||
from freestyle.functions import (
|
||||
Curvature2DAngleF0D,
|
||||
@ -70,14 +71,15 @@ from freestyle.functions import (
|
||||
pyDensityAnisotropyF1D,
|
||||
pyViewMapGradientNormF1D,
|
||||
)
|
||||
|
||||
import random
|
||||
|
||||
|
||||
## Unary predicates for 0D elements (vertices)
|
||||
##############################################
|
||||
# -- Unary predicates for 0D elements (vertices) -- #
|
||||
|
||||
|
||||
class pyHigherCurvature2DAngleUP0D(UnaryPredicate0D):
|
||||
def __init__(self,a):
|
||||
def __init__(self, a):
|
||||
UnaryPredicate0D.__init__(self)
|
||||
self._a = a
|
||||
|
||||
@ -88,15 +90,15 @@ class pyHigherCurvature2DAngleUP0D(UnaryPredicate0D):
|
||||
|
||||
|
||||
class pyUEqualsUP0D(UnaryPredicate0D):
|
||||
def __init__(self,u, w):
|
||||
def __init__(self, u, w):
|
||||
UnaryPredicate0D.__init__(self)
|
||||
self._u = u
|
||||
self._w = w
|
||||
self._func = pyCurvilinearLengthF0D()
|
||||
|
||||
def __call__(self, inter):
|
||||
func = pyCurvilinearLengthF0D()
|
||||
u = func(inter)
|
||||
return (u > (self._u-self._w)) and (u < (self._u+self._w))
|
||||
u = self._func(inter)
|
||||
return (u > (self._u - self._w)) and (u < (self._u + self._w))
|
||||
|
||||
|
||||
class pyVertexNatureUP0D(UnaryPredicate0D):
|
||||
@ -105,26 +107,23 @@ class pyVertexNatureUP0D(UnaryPredicate0D):
|
||||
self._nature = nature
|
||||
|
||||
def __call__(self, inter):
|
||||
v = inter.object
|
||||
return (v.nature & self._nature) != 0
|
||||
return bool(inter.object.nature & self._nature)
|
||||
|
||||
|
||||
## check whether an Interface0DIterator
|
||||
## is a TVertex and is the one that is
|
||||
## hidden (inferred from the context)
|
||||
class pyBackTVertexUP0D(UnaryPredicate0D):
|
||||
"""
|
||||
Check whether an Interface0DIterator
|
||||
references a TVertex and is the one that is
|
||||
hidden (inferred from the context)
|
||||
"""
|
||||
def __init__(self):
|
||||
UnaryPredicate0D.__init__(self)
|
||||
self._getQI = QuantitativeInvisibilityF0D()
|
||||
|
||||
def __call__(self, iter):
|
||||
if (iter.object.nature & Nature.T_VERTEX) == 0:
|
||||
if not (iter.object.nature & Nature.T_VERTEX) or iter.is_end:
|
||||
return False
|
||||
if iter.is_end:
|
||||
return False
|
||||
if self._getQI(iter) != 0:
|
||||
return True
|
||||
return False
|
||||
return self._getQI(iter) != 0
|
||||
|
||||
|
||||
class pyParameterUP0DGoodOne(UnaryPredicate0D):
|
||||
@ -135,7 +134,7 @@ class pyParameterUP0DGoodOne(UnaryPredicate0D):
|
||||
|
||||
def __call__(self, inter):
|
||||
u = inter.u
|
||||
return ((u>=self._m) and (u<=self._M))
|
||||
return ((u >= self._m) and (u <= self._M))
|
||||
|
||||
|
||||
class pyParameterUP0D(UnaryPredicate0D):
|
||||
@ -143,36 +142,39 @@ class pyParameterUP0D(UnaryPredicate0D):
|
||||
UnaryPredicate0D.__init__(self)
|
||||
self._m = pmin
|
||||
self._M = pmax
|
||||
self._func = Curvature2DAngleF0D()
|
||||
|
||||
def __call__(self, inter):
|
||||
func = Curvature2DAngleF0D()
|
||||
c = func(inter)
|
||||
b1 = (c>0.1)
|
||||
c = self._func(inter)
|
||||
b1 = (c > 0.1)
|
||||
u = inter.u
|
||||
b = ((u>=self._m) and (u<=self._M))
|
||||
return b and b1
|
||||
b = ((u >= self._m) and (u <= self._M))
|
||||
return (b and b1)
|
||||
|
||||
|
||||
# -- Unary predicates for 1D elements (curves) -- #
|
||||
|
||||
## Unary predicates for 1D elements (curves)
|
||||
############################################
|
||||
|
||||
class AndUP1D(UnaryPredicate1D):
|
||||
def __init__(self, pred1, pred2):
|
||||
def __init__(self, *predicates):
|
||||
UnaryPredicate1D.__init__(self)
|
||||
self.__pred1 = pred1
|
||||
self.__pred2 = pred2
|
||||
self.predicates = predicates
|
||||
if len(self.predicates) < 2:
|
||||
raise ValueError("Expected two or more UnaryPredicate1D")
|
||||
|
||||
def __call__(self, inter):
|
||||
return self.__pred1(inter) and self.__pred2(inter)
|
||||
return all(pred(inter) for pred in self.predicates)
|
||||
|
||||
|
||||
class OrUP1D(UnaryPredicate1D):
|
||||
def __init__(self, pred1, pred2):
|
||||
def __init__(self, *predicates):
|
||||
UnaryPredicate1D.__init__(self)
|
||||
self.__pred1 = pred1
|
||||
self.__pred2 = pred2
|
||||
self.predicates = predicates
|
||||
if len(self.predicates) < 2:
|
||||
raise ValueError("Expected two or more UnaryPredicate1D")
|
||||
|
||||
def __call__(self, inter):
|
||||
return self.__pred1(inter) or self.__pred2(inter)
|
||||
return any(pred(inter) for pred in self.predicates)
|
||||
|
||||
|
||||
class NotUP1D(UnaryPredicate1D):
|
||||
@ -184,6 +186,29 @@ class NotUP1D(UnaryPredicate1D):
|
||||
return not self.__pred(inter)
|
||||
|
||||
|
||||
class ObjectNamesUP1D(UnaryPredicate1D):
|
||||
def __init__(self, names, negative=False):
|
||||
UnaryPredicate1D.__init__(self)
|
||||
self._names = names
|
||||
self._negative = negative
|
||||
|
||||
def __call__(self, viewEdge):
|
||||
found = viewEdge.viewshape.name in self._names
|
||||
return found if not self._negative else not found
|
||||
|
||||
|
||||
class QuantitativeInvisibilityRangeUP1D(UnaryPredicate1D):
|
||||
def __init__(self, qi_start, qi_end):
|
||||
UnaryPredicate1D.__init__(self)
|
||||
self.__getQI = QuantitativeInvisibilityF1D()
|
||||
self.__qi_start = qi_start
|
||||
self.__qi_end = qi_end
|
||||
|
||||
def __call__(self, inter):
|
||||
qi = self.__getQI(inter)
|
||||
return (self.__qi_start <= qi <= self.__qi_end)
|
||||
|
||||
|
||||
class pyNFirstUP1D(UnaryPredicate1D):
|
||||
def __init__(self, n):
|
||||
UnaryPredicate1D.__init__(self)
|
||||
@ -191,14 +216,12 @@ class pyNFirstUP1D(UnaryPredicate1D):
|
||||
self.__count = 0
|
||||
|
||||
def __call__(self, inter):
|
||||
self.__count = self.__count + 1
|
||||
if self.__count <= self.__n:
|
||||
return True
|
||||
return False
|
||||
self.__count += 1
|
||||
return (self.__count <= self.__n)
|
||||
|
||||
|
||||
class pyHigherLengthUP1D(UnaryPredicate1D):
|
||||
def __init__(self,l):
|
||||
def __init__(self, l):
|
||||
UnaryPredicate1D.__init__(self)
|
||||
self._l = l
|
||||
|
||||
@ -213,28 +236,20 @@ class pyNatureUP1D(UnaryPredicate1D):
|
||||
self._getNature = CurveNatureF1D()
|
||||
|
||||
def __call__(self, inter):
|
||||
if(self._getNature(inter) & self._nature):
|
||||
return True
|
||||
return False
|
||||
return bool(self._getNature(inter) & self._nature)
|
||||
|
||||
|
||||
class pyHigherNumberOfTurnsUP1D(UnaryPredicate1D):
|
||||
def __init__(self,n,a):
|
||||
def __init__(self, n, a):
|
||||
UnaryPredicate1D.__init__(self)
|
||||
self._n = n
|
||||
self._a = a
|
||||
|
||||
def __call__(self, inter):
|
||||
count = 0
|
||||
func = Curvature2DAngleF0D()
|
||||
it = inter.vertices_begin()
|
||||
while not it.is_end:
|
||||
if func(it) > self._a:
|
||||
count = count+1
|
||||
if count > self._n:
|
||||
return True
|
||||
it.increment()
|
||||
return False
|
||||
# sum the turns, check against n
|
||||
return sum(1 for ve in it if func(it) > self._a) > self._n
|
||||
|
||||
|
||||
class pyDensityUP1D(UnaryPredicate1D):
|
||||
@ -278,9 +293,7 @@ class pyHighSteerableViewMapDensityUP1D(UnaryPredicate1D):
|
||||
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)
|
||||
self._func = GetSteerableViewMapDensityF1D(level, integration)
|
||||
|
||||
def __call__(self, inter):
|
||||
return (self._func(inter) > self._threshold)
|
||||
@ -290,24 +303,17 @@ class pyHighDirectionalViewMapDensityUP1D(UnaryPredicate1D):
|
||||
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
|
||||
self._func = GetDirectionalViewMapDensityF1D(orientation, level, integration, sampling)
|
||||
|
||||
def __call__(self, inter):
|
||||
func = GetDirectionalViewMapDensityF1D(self._orientation, self._level, self._integration, self._sampling)
|
||||
return (func(inter) > self._threshold)
|
||||
return (self.func(inter) > self._threshold)
|
||||
|
||||
|
||||
class pyHighViewMapDensityUP1D(UnaryPredicate1D):
|
||||
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
|
||||
self._func = GetCompleteViewMapDensityF1D(level, integration, sampling)
|
||||
|
||||
def __call__(self, inter):
|
||||
return (self._func(inter) > self._threshold)
|
||||
@ -316,67 +322,56 @@ class pyHighViewMapDensityUP1D(UnaryPredicate1D):
|
||||
class pyDensityFunctorUP1D(UnaryPredicate1D):
|
||||
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
|
||||
self._func = DensityF1D(wsize, integration)
|
||||
|
||||
def __call__(self, inter):
|
||||
func = DensityF1D(self._wsize, self._integration)
|
||||
res = self._functor(inter)
|
||||
k = (res-self._funcmin)/(self._funcmax-self._funcmin)
|
||||
k = (res - self._funcmin) / (self._funcmax - self._funcmin)
|
||||
return (func(inter) < (self._threshold * k))
|
||||
|
||||
|
||||
class pyZSmallerUP1D(UnaryPredicate1D):
|
||||
def __init__(self,z, integration=IntegrationType.MEAN):
|
||||
def __init__(self, z, integration=IntegrationType.MEAN):
|
||||
UnaryPredicate1D.__init__(self)
|
||||
self._z = z
|
||||
self._integration = integration
|
||||
self.func = GetProjectedZF1D(integration)
|
||||
|
||||
def __call__(self, inter):
|
||||
func = GetProjectedZF1D(self._integration)
|
||||
return (func(inter) < self._z)
|
||||
return (self.func(inter) < self._z)
|
||||
|
||||
|
||||
class pyIsOccludedByUP1D(UnaryPredicate1D):
|
||||
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 __call__(self, inter):
|
||||
func = GetShapeF1D()
|
||||
shapes = func(inter)
|
||||
for s in shapes:
|
||||
if(s.id == self._id):
|
||||
return False
|
||||
shapes = GetShapeF1D()(inter)
|
||||
if any(s.id == self._id for s in shapes):
|
||||
return False
|
||||
|
||||
# construct iterators
|
||||
it = inter.vertices_begin()
|
||||
itlast = inter.vertices_end()
|
||||
itlast.decrement()
|
||||
v = it.object
|
||||
vlast = itlast.object
|
||||
tvertex = v.viewvertex
|
||||
if type(tvertex) is TVertex:
|
||||
#print("TVertex: [ ", tvertex.id.first, ",", tvertex.id.second," ]")
|
||||
|
||||
vertex = next(it)
|
||||
if type(vertex) is TVertex:
|
||||
eit = vertex.edges_begin()
|
||||
if any(ve.id == self._id for (ve, incoming) in eit):
|
||||
return True
|
||||
|
||||
vertex = next(itlast)
|
||||
if type(vertex) is TVertex:
|
||||
eit = tvertex.edges_begin()
|
||||
while not eit.is_end:
|
||||
ve, incoming = eit.object
|
||||
if ve.id == self._id:
|
||||
return True
|
||||
#print("-------", ve.id.first, "-", ve.id.second)
|
||||
eit.increment()
|
||||
tvertex = vlast.viewvertex
|
||||
if type(tvertex) is TVertex:
|
||||
#print("TVertex: [ ", tvertex.id.first, ",", tvertex.id.second," ]")
|
||||
eit = tvertex.edges_begin()
|
||||
while not eit.is_end:
|
||||
ve, incoming = eit.object
|
||||
if ve.id == self._id:
|
||||
return True
|
||||
#print("-------", ve.id.first, "-", ve.id.second)
|
||||
eit.increment()
|
||||
if any(ve.id == self._id for (ve, incoming) in eit):
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
@ -386,12 +381,8 @@ class pyIsInOccludersListUP1D(UnaryPredicate1D):
|
||||
self._id = id
|
||||
|
||||
def __call__(self, inter):
|
||||
func = GetOccludersF1D()
|
||||
occluders = func(inter)
|
||||
for a in occluders:
|
||||
if a.id == self._id:
|
||||
return True
|
||||
return False
|
||||
occluders = GetOccludersF1D()(inter)
|
||||
return any(a.id == self._id for a in occluders)
|
||||
|
||||
|
||||
class pyIsOccludedByItselfUP1D(UnaryPredicate1D):
|
||||
@ -403,11 +394,7 @@ class pyIsOccludedByItselfUP1D(UnaryPredicate1D):
|
||||
def __call__(self, inter):
|
||||
lst1 = self.__func1(inter)
|
||||
lst2 = self.__func2(inter)
|
||||
for vs1 in lst1:
|
||||
for vs2 in lst2:
|
||||
if vs1.id == vs2.id:
|
||||
return True
|
||||
return False
|
||||
return any(vs1.id == vs2.id for vs1 in lst1 for vs2 in lst2)
|
||||
|
||||
|
||||
class pyIsOccludedByIdListUP1D(UnaryPredicate1D):
|
||||
@ -417,27 +404,17 @@ class pyIsOccludedByIdListUP1D(UnaryPredicate1D):
|
||||
self.__func1 = GetOccludersF1D()
|
||||
|
||||
def __call__(self, inter):
|
||||
lst1 = self.__func1(inter)
|
||||
for vs1 in lst1:
|
||||
for _id in self._idlist:
|
||||
if vs1.id == _id:
|
||||
return True
|
||||
return False
|
||||
lst1 = self.__func1(inter.object)
|
||||
return any(vs1.id == _id for vs1 in lst1 for _id in self._idlist)
|
||||
|
||||
|
||||
class pyShapeIdListUP1D(UnaryPredicate1D):
|
||||
def __init__(self,idlist):
|
||||
UnaryPredicate1D.__init__(self)
|
||||
self._idlist = idlist
|
||||
self._funcs = []
|
||||
for _id in idlist:
|
||||
self._funcs.append(ShapeUP1D(_id.first, _id.second))
|
||||
self._funcs = tuple(ShapeUP1D(_id, 0) for _id in idlist)
|
||||
|
||||
def __call__(self, inter):
|
||||
for func in self._funcs:
|
||||
if func(inter) == 1:
|
||||
return True
|
||||
return False
|
||||
return any(func(inter) for func in self._funcs)
|
||||
|
||||
|
||||
## deprecated
|
||||
@ -447,12 +424,8 @@ class pyShapeIdUP1D(UnaryPredicate1D):
|
||||
self._id = _id
|
||||
|
||||
def __call__(self, inter):
|
||||
func = GetShapeF1D()
|
||||
shapes = func(inter)
|
||||
for a in shapes:
|
||||
if a.id == self._id:
|
||||
return True
|
||||
return False
|
||||
shapes = GetShapeF1D()(inter)
|
||||
return any(a.id == self._id for a in shapes)
|
||||
|
||||
|
||||
class pyHighDensityAnisotropyUP1D(UnaryPredicate1D):
|
||||
@ -473,7 +446,6 @@ class pyHighViewMapGradientNormUP1D(UnaryPredicate1D):
|
||||
|
||||
def __call__(self, inter):
|
||||
gn = self._GetGradient(inter)
|
||||
#print(gn)
|
||||
return (gn > self._threshold)
|
||||
|
||||
|
||||
@ -503,53 +475,50 @@ class pyClosedCurveUP1D(UnaryPredicate1D):
|
||||
it = inter.vertices_begin()
|
||||
itlast = inter.vertices_end()
|
||||
itlast.decrement()
|
||||
vlast = itlast.object
|
||||
v = it.object
|
||||
#print(v.id.first, v.id.second)
|
||||
#print(vlast.id.first, vlast.id.second)
|
||||
if v.id == vlast.id:
|
||||
return True
|
||||
return False
|
||||
return (next(it).id == next(itlast).id)
|
||||
|
||||
|
||||
# -- Binary predicates for 1D elements (curves) -- #
|
||||
|
||||
## Binary predicates for 1D elements (curves)
|
||||
#############################################
|
||||
|
||||
class AndBP1D(BinaryPredicate1D):
|
||||
def __init__(self, pred1, pred2):
|
||||
def __init__(self, *predicates):
|
||||
BinaryPredicate1D.__init__(self)
|
||||
self.__pred1 = pred1
|
||||
self.__pred2 = pred2
|
||||
self._predicates = predicates
|
||||
if len(self.predicates) < 2:
|
||||
raise ValueError("Expected two or more BinaryPredicate1D")
|
||||
|
||||
def __call__(self, inter1, inter2):
|
||||
return self.__pred1(inter1, inter2) and self.__pred2(inter1, inter2)
|
||||
def __call__(self, i1, i2):
|
||||
return all(pred(i1, i2) for pred in self._predicates)
|
||||
|
||||
|
||||
class OrBP1D(BinaryPredicate1D):
|
||||
def __init__(self, pred1, pred2):
|
||||
def __init__(self, *predicates):
|
||||
BinaryPredicate1D.__init__(self)
|
||||
self.__pred1 = pred1
|
||||
self.__pred2 = pred2
|
||||
self._predicates = predicates
|
||||
if len(self.predicates) < 2:
|
||||
raise ValueError("Expected two or more BinaryPredicate1D")
|
||||
|
||||
def __call__(self, inter1, inter2):
|
||||
return self.__pred1(inter1, inter2) or self.__pred2(inter1, inter2)
|
||||
def __call__(self, i1, i2):
|
||||
return any(pred(i1, i2) for pred in self._predicates)
|
||||
|
||||
|
||||
class NotBP1D(BinaryPredicate1D):
|
||||
def __init__(self, pred):
|
||||
def __init__(self, predicate):
|
||||
BinaryPredicate1D.__init__(self)
|
||||
self.__pred = pred
|
||||
self._predicate = predicate
|
||||
|
||||
def __call__(self, inter1, inter2):
|
||||
return not self.__pred(inter1, inter2)
|
||||
def __call__(self, i1, i2):
|
||||
return (not self._precicate(i1, i2))
|
||||
|
||||
|
||||
class pyZBP1D(BinaryPredicate1D):
|
||||
def __init__(self, iType=IntegrationType.MEAN):
|
||||
BinaryPredicate1D.__init__(self)
|
||||
self._GetZ = GetZF1D(iType)
|
||||
self.func = GetZF1D(iType)
|
||||
|
||||
def __call__(self, i1, i2):
|
||||
return (self._GetZ(i1) > self._GetZ(i2))
|
||||
return (self.func(i1) > self.func(i2))
|
||||
|
||||
|
||||
class pyZDiscontinuityBP1D(BinaryPredicate1D):
|
||||
@ -569,10 +538,10 @@ class pyLengthBP1D(BinaryPredicate1D):
|
||||
class pySilhouetteFirstBP1D(BinaryPredicate1D):
|
||||
def __call__(self, inter1, inter2):
|
||||
bpred = SameShapeIdBP1D()
|
||||
if (bpred(inter1, inter2) != 1):
|
||||
if (not bpred(inter1, inter2)):
|
||||
return False
|
||||
if (inter1.nature & Nature.SILHOUETTE):
|
||||
return (inter2.nature & Nature.SILHOUETTE) != 0
|
||||
return bool(inter2.nature & Nature.SILHOUETTE)
|
||||
return (inter1.nature == inter2.nature)
|
||||
|
||||
|
||||
@ -587,16 +556,13 @@ class pyViewMapGradientNormBP1D(BinaryPredicate1D):
|
||||
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)
|
||||
random.seed = 1
|
||||
|
||||
def __call__(self, inter1, inter2):
|
||||
r1 = random.uniform(0,1)
|
||||
r2 = random.uniform(0,1)
|
||||
return (r1<r2)
|
||||
return (random.uniform(0,1) < random.uniform(0,1))
|
||||
|
File diff suppressed because it is too large
Load Diff
@ -27,11 +27,275 @@ from _freestyle import (
|
||||
integrate,
|
||||
)
|
||||
|
||||
# constructs for definition of helper functions in Python
|
||||
from freestyle.types import (
|
||||
StrokeVertexIterator,
|
||||
)
|
||||
import mathutils
|
||||
from mathutils import Vector
|
||||
from functools import lru_cache
|
||||
from math import cos, sin, pi
|
||||
|
||||
|
||||
# -- real utility functions -- #
|
||||
|
||||
|
||||
def rgb_to_bw(r, g, b):
|
||||
""" Method to convert rgb to a bw intensity value. """
|
||||
return 0.35 * r + 0.45 * g + 0.2 * b
|
||||
|
||||
|
||||
def bound(lower, x, higher):
|
||||
""" Returns x bounded by a maximum and minimum value. equivalent to:
|
||||
return min(max(x, lower), higher)
|
||||
"""
|
||||
# this is about 50% quicker than min(max(x, lower), higher)
|
||||
return (lower if x <= lower else higher if x >= higher else x)
|
||||
|
||||
|
||||
def bounding_box(stroke):
|
||||
"""
|
||||
Returns the maximum and minimum coordinates (the bounding box) of the stroke's vertices
|
||||
"""
|
||||
x, y = zip(*(svert.point for svert in stroke))
|
||||
return (Vector((min(x), min(y))), Vector((max(x), max(y))))
|
||||
|
||||
|
||||
# -- General helper functions -- #
|
||||
|
||||
|
||||
@lru_cache(maxsize=32)
|
||||
def phase_to_direction(length):
|
||||
"""
|
||||
Returns a list of tuples each containing:
|
||||
- the phase
|
||||
- a Vector with the values of the cosine and sine of 2pi * phase (the direction)
|
||||
"""
|
||||
results = list()
|
||||
for i in range(length):
|
||||
phase = i / (length - 1)
|
||||
results.append((phase, Vector((cos(2 * pi * phase), sin(2 * pi * phase)))))
|
||||
return results
|
||||
|
||||
|
||||
# -- helper functions for chaining -- #
|
||||
|
||||
|
||||
def get_chain_length(ve, orientation):
|
||||
"""Returns the 2d length of a given ViewEdge """
|
||||
from freestyle.chainingiterators import pyChainSilhouetteGenericIterator
|
||||
length = 0.0
|
||||
# setup iterator
|
||||
_it = pyChainSilhouetteGenericIterator(False, False)
|
||||
_it.begin = ve
|
||||
_it.current_edge = ve
|
||||
_it.orientation = orientation
|
||||
_it.init()
|
||||
|
||||
# run iterator till end of chain
|
||||
while not (_it.is_end):
|
||||
length += _it.object.length_2d
|
||||
if (_it.is_begin):
|
||||
# _it has looped back to the beginning;
|
||||
# break to prevent infinite loop
|
||||
break
|
||||
_it.increment()
|
||||
|
||||
# reset iterator
|
||||
_it.begin = ve
|
||||
_it.current_edge = ve
|
||||
_it.orientation = orientation
|
||||
|
||||
# run iterator till begin of chain
|
||||
if not _it.is_begin:
|
||||
_it.decrement()
|
||||
while not (_it.is_end or _it.is_begin):
|
||||
length += _it.object.length_2d
|
||||
_it.decrement()
|
||||
|
||||
return length
|
||||
|
||||
|
||||
def find_matching_vertex(id, it):
|
||||
"""Finds the matching vertexn, or returns None """
|
||||
return next((ve for ve in it if ve.id == id), None)
|
||||
|
||||
|
||||
# -- helper functions for iterating -- #
|
||||
|
||||
|
||||
def iter_current_previous(stroke):
|
||||
"""
|
||||
iterates over the given iterator. yields a tuple of the form
|
||||
(it, prev, current)
|
||||
"""
|
||||
prev = stroke[0]
|
||||
it = Interface0DIterator(stroke)
|
||||
for current in it:
|
||||
yield (it, prev, current)
|
||||
|
||||
|
||||
def iter_t2d_along_stroke(stroke):
|
||||
"""
|
||||
Yields the distance between two stroke vertices
|
||||
relative to the total stroke length.
|
||||
"""
|
||||
total = stroke.length_2d
|
||||
distance = 0.0
|
||||
for it, prev, svert in iter_current_previous(stroke):
|
||||
distance += (prev.point - svert.point).length
|
||||
t = min(distance / total, 1.0) if total > 0.0 else 0.0
|
||||
yield (it, t)
|
||||
|
||||
|
||||
def iter_distance_from_camera(stroke, range_min, range_max):
|
||||
"""
|
||||
Yields the distance to the camera relative to the maximum
|
||||
possible distance for every stroke vertex, constrained by
|
||||
given minimum and maximum values.
|
||||
"""
|
||||
normfac = range_max - range_min # normalization factor
|
||||
it = Interface0DIterator(stroke)
|
||||
for svert in it:
|
||||
distance = svert.point_3d.length # in the camera coordinate
|
||||
if distance < range_min:
|
||||
t = 0.0
|
||||
elif distance > range_max:
|
||||
t = 1.0
|
||||
else:
|
||||
t = (distance - range_min) / normfac
|
||||
yield (it, t)
|
||||
|
||||
|
||||
def iter_distance_from_object(stroke, object, range_min, range_max):
|
||||
"""
|
||||
yields the distance to the given object relative to the maximum
|
||||
possible distance for every stroke vertex, constrained by
|
||||
given minimum and maximum values.
|
||||
"""
|
||||
scene = getCurrentScene()
|
||||
mv = scene.camera.matrix_world.copy().inverted() # model-view matrix
|
||||
loc = mv * object.location # loc in the camera coordinate
|
||||
normfac = range_max - range_min # normalization factor
|
||||
it = Interface0DIterator(stroke)
|
||||
for svert in it:
|
||||
distance = (svert.point_3d - loc).length # in the camera coordinate
|
||||
if distance < range_min:
|
||||
t = 0.0
|
||||
elif distance > range_max:
|
||||
t = 1.0
|
||||
else:
|
||||
t = (distance - range_min) / normfac
|
||||
yield (it, t)
|
||||
|
||||
|
||||
def iter_material_color(stroke, material_attribute):
|
||||
"""
|
||||
yields the specified material attribute for every stroke vertex.
|
||||
the material is taken from the object behind the vertex.
|
||||
"""
|
||||
func = CurveMaterialF0D()
|
||||
it = Interface0DIterator(stroke)
|
||||
for inter in it:
|
||||
material = func(it)
|
||||
if material_attribute == 'DIFF':
|
||||
color = material.diffuse[0:3]
|
||||
elif material_attribute == 'SPEC':
|
||||
color = material.specular[0:3]
|
||||
else:
|
||||
raise ValueError("unexpected material attribute: " + material_attribute)
|
||||
yield (it, color)
|
||||
|
||||
|
||||
def iter_material_value(stroke, material_attribute):
|
||||
"""
|
||||
yields a specific material attribute
|
||||
from the vertex' underlying material.
|
||||
"""
|
||||
func = CurveMaterialF0D()
|
||||
it = Interface0DIterator(stroke)
|
||||
for svert in it:
|
||||
material = func(it)
|
||||
if material_attribute == 'DIFF':
|
||||
t = rgb_to_bw(*material.diffuse[0:3])
|
||||
elif material_attribute == 'DIFF_R':
|
||||
t = material.diffuse[0]
|
||||
elif material_attribute == 'DIFF_G':
|
||||
t = material.diffuse[1]
|
||||
elif material_attribute == 'DIFF_B':
|
||||
t = material.diffuse[2]
|
||||
elif material_attribute == 'SPEC':
|
||||
t = rgb_to_bw(*material.specular[0:3])
|
||||
elif material_attribute == 'SPEC_R':
|
||||
t = material.specular[0]
|
||||
elif material_attribute == 'SPEC_G':
|
||||
t = material.specular[1]
|
||||
elif material_attribute == 'SPEC_B':
|
||||
t = material.specular[2]
|
||||
elif material_attribute == 'SPEC_HARDNESS':
|
||||
t = material.shininess
|
||||
elif material_attribute == 'ALPHA':
|
||||
t = material.diffuse[3]
|
||||
else:
|
||||
raise ValueError("unexpected material attribute: " + material_attribute)
|
||||
yield (it, t)
|
||||
|
||||
|
||||
def iter_distance_along_stroke(stroke):
|
||||
"""
|
||||
yields the absolute distance between
|
||||
the current and preceding vertex.
|
||||
"""
|
||||
distance = 0.0
|
||||
prev = stroke[0]
|
||||
it = Interface0DIterator(stroke)
|
||||
for svert in it:
|
||||
p = svert.point
|
||||
distance += (prev - p).length
|
||||
prev = p.copy() # need a copy because the point can be altered
|
||||
yield it, distance
|
||||
|
||||
|
||||
def iter_triplet(it):
|
||||
"""
|
||||
Iterates over it, yielding a tuple containing
|
||||
the current vertex and its immediate neighbors
|
||||
"""
|
||||
prev = next(it)
|
||||
current = next(it)
|
||||
for succ in it:
|
||||
yield prev, current, succ
|
||||
prev, current = current, succ
|
||||
|
||||
|
||||
# -- mathmatical operations -- #
|
||||
|
||||
|
||||
def stroke_curvature(it):
|
||||
"""
|
||||
Compute the 2D curvature at the stroke vertex pointed by the iterator 'it'.
|
||||
K = 1 / R
|
||||
where R is the radius of the circle going through the current vertex and its neighbors
|
||||
"""
|
||||
|
||||
if it.is_end or it.is_begin:
|
||||
return 0.0
|
||||
|
||||
next = it.incremented().point
|
||||
prev = it.decremented().point
|
||||
current = it.object.point
|
||||
|
||||
|
||||
ab = (current - prev)
|
||||
bc = (next - current)
|
||||
ac = (prev - next)
|
||||
|
||||
a, b, c = ab.length, bc.length, ac.length
|
||||
|
||||
try:
|
||||
area = 0.5 * ab.cross(ac)
|
||||
K = (4 * area) / (a * b * c)
|
||||
K = bound(0.0, K, 1.0)
|
||||
|
||||
except ZeroDivisionError:
|
||||
K = 0.0
|
||||
|
||||
return K
|
||||
|
||||
|
||||
def stroke_normal(it):
|
||||
@ -42,28 +306,21 @@ def stroke_normal(it):
|
||||
they have already been modified by stroke geometry modifiers.
|
||||
"""
|
||||
# first stroke segment
|
||||
it_next = StrokeVertexIterator(it)
|
||||
it_next.increment()
|
||||
it_next = it.incremented()
|
||||
if it.is_begin:
|
||||
e = it_next.object.point_2d - it.object.point_2d
|
||||
n = mathutils.Vector((e[1], -e[0]))
|
||||
n.normalize()
|
||||
return n
|
||||
n = Vector((e[1], -e[0]))
|
||||
return n.normalized()
|
||||
# last stroke segment
|
||||
it_prev = StrokeVertexIterator(it)
|
||||
it_prev.decrement()
|
||||
it_prev = it.decremented()
|
||||
if it_next.is_end:
|
||||
e = it.object.point_2d - it_prev.object.point_2d
|
||||
n = mathutils.Vector((e[1], -e[0]))
|
||||
n.normalize()
|
||||
return n
|
||||
n = Vector((e[1], -e[0]))
|
||||
return n.normalized()
|
||||
# two subsequent stroke segments
|
||||
e1 = it_next.object.point_2d - it.object.point_2d
|
||||
e2 = it.object.point_2d - it_prev.object.point_2d
|
||||
n1 = mathutils.Vector((e1[1], -e1[0]))
|
||||
n2 = mathutils.Vector((e2[1], -e2[0]))
|
||||
n1.normalize()
|
||||
n2.normalize()
|
||||
n = n1 + n2
|
||||
n.normalize()
|
||||
return n
|
||||
n1 = Vector((e1[1], -e1[0])).normalized()
|
||||
n2 = Vector((e2[1], -e2[0])).normalized()
|
||||
n = (n1 + n2)
|
||||
return n.normalized()
|
||||
|
Loading…
Reference in New Issue
Block a user