mightyscape-1.2/extensions/fablabchemnitz/shape_recognition/shaperrec/miscellaneous.py

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2022-10-13 00:05:56 +02:00
import sys
import inkex
from inkex import Path
import numpy
from shaperrec import manipulation
from lxml import etree
# *************************************************************
# debugging
def void(*l):
pass
def debug_on(*l):
sys.stderr.write(' '.join(str(i) for i in l) +'\n')
debug = void
#debug = debug_on
errwrite = void
# miscellaneous helper functions to sort
# merge consecutive segments with close angle
def mergeConsecutiveCloseAngles( segList , mangle =0.25 , q=0.5):
def toMerge(seg):
l=[seg]
setattr(seg, 'merged', True)
if hasattr(seg, "__next__") and seg.next.isSegment() :
debug('merging segs ', seg.angle, ' with : ', seg.next.point1, seg.next.pointN, ' ang=', seg.next.angle)
if geometric.deltaAngleAbs( seg.angle, seg.next.angle) < mangle:
l += toMerge(seg.next)
return l
updatedSegs = []
for i, seg in enumerate(segList[:-1]):
if not seg.isSegment() :
updatedSegs.append(seg)
continue
if hasattr(seg, 'merged'):
continue
debug(i, ' inspect merge : ', seg.point1, '-', seg.pointN, seg.angle, ' q=', seg.quality())
mList = toMerge(seg)
debug(' --> tomerge ', len(mList))
if len(mList)<2:
delattr(seg, 'merged')
updatedSegs.append(seg)
continue
points= numpy.concatenate( [p.points for p in mList] )
newseg = fitSingleSegment(points)
if newseg.quality()>q:
delattr(seg, 'merged')
updatedSegs.append(seg)
continue
for p in mList:
setattr(seg, 'merged', True)
newseg.sourcepoints = seg.sourcepoints
debug(' --> post merge qual = ', newseg.quality(), seg.pointN, ' --> ', newseg.pointN, newseg.angle)
newseg.prev = mList[0].prev
newseg.next = mList[-1].__next__
updatedSegs.append(newseg)
if not hasattr(segList[-1], 'merged') : updatedSegs.append( segList[-1])
return updatedSegs
def parametersFromPointAngle(point, angle):
unitv = numpy.array([ numpy.cos(angle), numpy.sin(angle) ])
ortangle = angle+numpy.pi/2
normal = numpy.array([ numpy.cos(ortangle), numpy.sin(ortangle) ])
genOffset = -normal.dot(point)
a, b = normal
return a, b, genOffset
def addPath(newList, refnode):
"""Add a node in the xml structure corresponding to the content of newList
newList : list of Segment or Path
refnode : xml node used as a reference, new point will be inserted a same level"""
ele = etree.Element('{http://www.w3.org/2000/svg}path')
errwrite("newList = " + str(newList) + "\n")
ele.set('d', str(Path(newList)))
refnode.xpath('..')[0].append(ele)
return ele
def reformatList( listOfPaths):
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""" Returns a SVG paths list from a list of Path objects
2022-10-13 00:05:56 +02:00
- Segments in paths are added in the new list
- simple Path are retrieved from the original refSVGPathList and put in the new list (thus preserving original bezier curves)
"""
newList = []
first = True
for seg in listOfPaths:
newList += seg.asSVGCommand(first)
first = False
return newList
def clusterValues( values, relS=0.1 , refScaleAbs='range' ):
"""form clusters of similar quantities from input 'values'.
Clustered values are not necessarily contiguous in the input array.
Clusters size (that is max-min) is < relS*cluster_average """
if len(values)==0:
return []
if len(values.shape)==1:
sortedV = numpy.stack([ values, numpy.arange(len(values))], 1)
else:
# Assume value.shape = (N,2) and index are ok
sortedV = values
sortedV = sortedV[ numpy.argsort(sortedV[:, 0]) ]
sortedVV = sortedV[:, 0]
refScale = sortedVV[-1]-sortedVV[0]
#sortedVV += 2*min(sortedVV)) # shift to avoid numerical issues around 0
#print sortedVV
class Cluster:
def __init__(self, delta, sum, indices):
self.delta = delta
self.sum = sum
self.N=len(indices)
self.indices = indices
def size(self):
return self.delta/refScale
def combine(self, c):
#print ' combine ', self.indices[0], c.indices[-1], ' -> ', sortedVV[c.indices[-1]] - sortedVV[self.indices[0]]
newC = Cluster(sortedVV[c.indices[-1]] - sortedVV[self.indices[0]],
self.sum+c.sum,
self.indices+c.indices)
return newC
def originIndices(self):
return tuple(int(sortedV[i][1]) for i in self.indices)
def size_local(self):
return self.delta / sum( sortedVV[i] for i in self.indices) *len(self.indices)
def size_range(self):
return self.delta/refScale
def size_abs(self):
return self.delta
if refScaleAbs=='range':
Cluster.size = size_range
elif refScaleAbs=='local':
Cluster.size = size_local
elif refScaleAbs=='abs':
Cluster.size = size_abs
class ClusterPair:
next=None
prev=None
def __init__(self, c1, c2 ):
self.c1=c1
self.c2=c2
self.refresh()
def refresh(self):
self.potentialC =self.c1.combine(self.c2)
self.size = self.potentialC.size()
def setC1(self, c1):
self.c1=c1
self.refresh()
def setC2(self, c2):
self.c2=c2
self.refresh()
#ave = 0.5*(sortedVV[1:,0]+sortedV[:-1,0])
#deltaR = (sortedV[1:,0]-sortedV[:-1,0])/ave
cList = [Cluster(0, v, (i,)) for (i, v) in enumerate(sortedVV) ]
cpList = [ ClusterPair( c, cList[i+1] ) for (i, c) in enumerate(cList[:-1]) ]
manipulation.resetPrevNextSegment( cpList )
#print cpList
def reduceCL( cList ):
if len(cList)<=1:
return cList
cp = min(cList, key=lambda cp:cp.size)
#print '==', cp.size , relS, cp.c1.indices , cp.c2.indices, cp.potentialC.indices
while cp.size < relS:
if hasattr(cp, "__next__"):
cp.next.setC1(cp.potentialC)
cp.next.prev = cp.prev
if cp.prev:
cp.prev.setC2(cp.potentialC)
cp.prev.next = cp.__next__ if hasattr(cp, "__next__") else None
cList.remove(cp)
if len(cList)<2:
break
cp = min(cList, key=lambda cp:cp.size)
#print ' -----> ', [ (cp.c1.indices , cp.c2.indices) for cp in cList]
return cList
cpList = reduceCL(cpList)
if len(cpList)==1:
cp = cpList[0]
if cp.potentialC.size()<relS:
return [ cp.potentialC.originIndices() ]
#print cpList
if cpList==[]:
return []
finalCL = [ cp.c1.originIndices() for cp in cpList ]+[ cpList[-1].c2.originIndices() ]
return finalCL