标题有点抽象,但我认为这对我正在寻找的内容是准确的。 具体给出多边形边的列表,对通过顶点连接的所有边进行分组。
我知道这应该是一个简单的问题,但我一直在寻找错误的解决方案。
示例输入:
looseComponents = cmds.ls(sl=True, fl=True)
# Result: [u'pCube1.e[3]', u'pCube1.e[6]'] #
获取输出:
found 2 component sets
[u'pCube1.e[3]']
[u'pCube1.e[3]']
预期的输出:
found 2 component sets
[u'pCube1.e[3]']
[u'pCube1.e[6]']
这就是我目前所拥有的,它在Maya中运行,用Python编写。
looseComponents = cmds.ls(sl=True, fl=True)
#build sub item lookup
componentVerts = {}
for component in looseComponents:
verts = cmds.ls(cmds.polyListComponentConversion(component, toVertex=True), fl=True)
vertIds = []
for vert in verts:
i = int( vert.split('[')[-1].strip(']'))
vertIds.append(i)
componentVerts[component] = set(vertIds)
sortedComponents = 0
totalComponents = len(looseComponents)
componentSets = [ [] ]
componentSets[0].append( looseComponents[0] )
sortedComponents += 1
while sortedComponents < totalComponents:
# for each subSetA of setA
foundConnectingSet = False
for i in range(len(componentSets)):
# for each itemA of subSetA
for j in range(len(componentSets[i])):
# for each itemB of setB
for h in range(len(looseComponents)):
# check if itemA and itemB share a sub item
if componentVerts[componentSets[i][j]] & componentVerts[looseComponents[h]]:
# if itemB isn't already part of this subSetA
if looseComponents[h] not in componentSets[i]:
# add itemB to this subSetA
componentSets[i].append(looseComponents[h])
sortedComponents += 1
foundConnectingSet = True
if not foundConnectingSet:
starter = looseComponents[0]
for i in range(len(componentSets)):
looseComponents = list( set(looseComponents) - set(componentSets[i]))
componentSets.append( [ starter ] )
sortedComponents += 1
print 'found ' +str(len(componentSets))+ ' component sets'
for componentSet in componentSets:
cmds.confirmDialog()
cmds.select(componentSet, replace=True)
print cmds.ls(sl=True)
选择一条边后,我得到一套。 选择了两个未连接的边,我得到两个集,但两个集中都有相同的边。
答案 0 :(得分:0)
looseComponents = cmds.ls(sl=True, fl=True)
totalComponents = len( looseComponents )
sortedComponents = 0
componentSets = []
vertComponent = {}
componentVert = {}
for component in looseComponents:
verts = cmds.ls(cmds.polyListComponentConversion(component, toVertex=True), fl=True)
for vert in verts:
if vert in vertComponent:
vertComponent[vert].append(component)
else:
vertComponent[vert] = [component]
componentVert[component] = verts
def getConnectedComponent(component):
verts = componentVert[component]
connections = []
for vert in verts:
connections.extend( vertComponent[vert] )
return list(set(connections) - set([component]))
def getRemainingComponent():
remainingComponents = looseComponents
for componentSet in componentSets:
remainingComponents = list(set(remainingComponents)-set(componentSet))
if remainingComponents:
return remainingComponents[0]
else:
return None
while sortedComponents < totalComponents:
component = getRemainingComponent()
if component:
componentSets.append( [component] )
sortedComponents += 1
connections = getConnectedComponent(component)
while set(connections) - set(componentSets[-1]):
newConnections = list( set(connections) - set(componentSets[-1]) )
componentSets[-1].extend( newConnections )
sortedComponents += len(newConnections)
connections = []
for component in newConnections:
connections.extend( getConnectedComponent(component) )
print 'found ' +str(len(componentSets))+ ' component sets'
for componentSet in componentSets:
cmds.confirmDialog()
cmds.select(componentSet, replace=True)
print cmds.ls(sl=True)
答案 1 :(得分:0)
我知道我倾向于在这里竖起pymel但是看着每个人都经历了cmds的烦恼真是太痛苦了。如果你没有义务他们,替代方案是:
from pymel.core import *
verts = [i for i in polyCube()[0].vtx]
for j in verts:
print "{0} is connected to {1}".format(j, j.connectedEdges())
当面向对象时,它会更加流畅。
答案 2 :(得分:0)
我只是通过从转换为边的所有顶点中创建一个字典来尝试它:
import maya.cmds as cmds
def vert_edge_map(obj):
verts = cmds.polyEvaluate(obj, v=True)
mapping = {}
for r in range(0, verts):
edges = cmds.polyListComponentConversion(obj + ".vtx[%i]" % r, fv=True, te=True)
edges = cmds.filterExpand(edges, sm=32)
mapping[r] = set(edges)
return mapping
vert_edge_map('pCube1')
# Result: {0: set([u'pCube1.e[4]', u'pCube1.e[0]', u'pCube1.e[10]']), 1: set([u'pCube1.e[0]', u'pCube1.e[11]', u'pCube1.e[5]']), 2: set([u'pCube1.e[4]', u'pCube1.e[1]', u'pCube1.e[6]']), 3: set([u'pCube1.e[1]', u'pCube1.e[7]', u'pCube1.e[5]']), 4: set([u'pCube1.e[2]', u'pCube1.e[8]', u'pCube1.e[6]']), 5: set([u'pCube1.e[2]', u'pCube1.e[9]', u'pCube1.e[7]']), 6: set([u'pCube1.e[3]', u'pCube1.e[8]', u'pCube1.e[10]']), 7: set([u'pCube1.e[3]', u'pCube1.e[9]', u'pCube1.e[11]'])} #
所有值都是集合,因此您可以测试两个顶点是否连接两个顶点的集合连接:
def are_connected(v1, v2, mapping):
return len(mapping[v1].intersection(mapping[v2])) > 0
并与工会创建相关联的东西:
def lots_of_edges(mapping, *verts):
result = set()
for v in verts:
result = result.union(mapping[v])
return result