1
vrmlファイルのテキストの一部を解析しようとしています。具体的には、座標点（フィールドポイント）とポイント間の連結性（フィールドcoordIndex）で定義される一連の三角形を表すIndexedFaceSetsに含まれる情報に興味があります。ブロック単位でファイルを解析し、Pythonで各ブロックの情報を抽出する
テキストの単一のindexedFaceSet（最初のもの）を解析する関数を作成しましたが、コードを変更する方法について頭を悩めることができませんので、各IndexedFaceSetに次のリスト[translate,verts,facets,normals]を格納できます。
My機能は次のとおり
def extractDataFromVRML(root):
#Lists to be populated
translate=[]
verts=[]
facets=[]
normals=[]
#Parsing the vrml file
f=open(root+'.wrl')
while 1:# skip through initial stuff
linney=str.split(f.readline())
# print linney
if len(linney) == 4:
if linney[0] == 'translation': #Not shown in th vrml example
transx = float(linney[1])
transy = float(linney[2])
transz = float(linney[3])
t=[transx,transy,transz]
translate.append(t)
if linney == ['point', '[']:
break
#print 'Reading vertex coordinates.'
while 1:
xyz = f.readline()
i = str.find(xyz,',')
if i < 0: # end of vertex coordinates
break
verts.append(xyz[:i]) # building a list of xyz strings
print ('We have',len(verts)-1,'vertices.')
#for v in verts: print v
print ('Reading triangles.')
while 1:
linney=f.readline()
if linney == '}\n':
break # end of file
abc = str.split(str.replace(linney,',',' ')) # l of vertex ids
if len(abc) < 3:
continue # separation between groups of triangles
# look up a vertex in the list to generate a triangle tuple
xyz = str.split(verts[int(abc[0])])
p1=[float(xyz[0]),float(xyz[1]),float(xyz[2])]
xyz = str.split(verts[int(abc[1])])
p2=[float(xyz[0]),float(xyz[1]),float(xyz[2])]
xyz = str.split(verts[int(abc[2])])
p3=[float(xyz[0]),float(xyz[1]),float(xyz[2])]
tri=[p1,p2,p3]
facets.append(tri)
#n=getNormals(p1[0],p1[1],p1[2],p2[0],p2[1],p2[2],p3[0],p3[1],p3[2])
#normals.append(n)
print ('END')
return [translate,verts,facets,normals]
VRMLでキューブの例は次のとおりです。
#VRML V2.0 utf8
WorldInfo {
info [ "File created using CATIA" ]
}
NavigationInfo {
type [ "EXAMINE" , "WALK" , "FLY" ]
}
Background {
skyColor [ 1 1 1 ]
}
Viewpoint {
position 0.411502 0.183945 0.216403
orientation 0.326678 0.502925 0.800218 2.185925
fieldOfView 0.471225
description "Main Viewpoint"
}
Viewpoint {
position 0.288675 0.288675 0.288675
orientation 0.187053 0.451587 0.872399 2.448076
fieldOfView 0.471225
description "Iso View"
}
Viewpoint {
position 0.500000 0.000000 0.000000
orientation 0.577350 0.577350 0.577350 2.094395
fieldOfView 0.471225
description "Front View"
}
Viewpoint {
position -0.500000 0.000000 0.000000
orientation 0.577350 -0.577350 -0.577350 2.094395
fieldOfView 0.471225
description "Back View"
}
Viewpoint {
position 0.000000 -0.500000 0.000000
orientation 1.000000 -0.000173 0.000173 1.570796
fieldOfView 0.471225
description "Left View"
}
Viewpoint {
position 0.000000 0.500000 0.000000
orientation -0.000122 -0.707107 -0.707107 3.141348
fieldOfView 0.471225
description "Right View"
}
Viewpoint {
position 0.000000 0.000000 0.500000
orientation 0.000000 0.000000 1.000000 1.570796
fieldOfView 0.471225
description "Top View"
}
Viewpoint {
position 0.000000 0.000000 -0.500000
orientation 0.707107 0.707107 0.000000 3.141593
fieldOfView 0.471225
description "Bottom View"
}
Transform {
scale 0.001 0.001 0.001
children [
Group {
children [
Group {
children [
DEF _000000002346A9A0 Group {
children [
]
}
]
}
Group {
children [
DEF _0000000023470B20 Group {
children [
]
}
]
}
Group {
children [
DEF _00000000234700D0 Group {
children [
]
}
]
}
Group {
children [
Group {
children [
DEF _0000000020D0F390 Group {
children [
Shape {
appearance Appearance {
material DEF _material0 Material {
diffuseColor 0.823529 0.823529 1
}
}
geometry IndexedFaceSet {
solid FALSE
coord Coordinate {
point [
0 50 50,
50 50 50,
50 0 50,
0 0 50,
]
}
coordIndex [
3,2,0,-1,
2,1,0,-1,
]
}
}
Shape {
appearance Appearance {
material USE _material0
}
geometry IndexedFaceSet {
solid FALSE
coord Coordinate {
point [
0 50 0,
50 50 0,
50 0 0,
0 0 0,
]
}
coordIndex [
3,0,2,-1,
0,1,2,-1,
]
}
}
Shape {
appearance Appearance {
material USE _material0
}
geometry IndexedFaceSet {
solid FALSE
coord Coordinate {
point [
0 0 50,
0 0 0,
0 50 0,
0 50 50,
]
}
coordIndex [
2,1,3,-1,
1,0,3,-1,
]
}
}
Shape {
appearance Appearance {
material USE _material0
}
geometry IndexedFaceSet {
solid FALSE
coord Coordinate {
point [
0 50 50,
0 50 0,
50 50 0,
50 50 50,
]
}
coordIndex [
2,1,3,-1,
1,0,3,-1,
]
}
}
Shape {
appearance Appearance {
material USE _material0
}
geometry IndexedFaceSet {
solid FALSE
coord Coordinate {
point [
50 50 50,
50 50 0,
50 0 0,
50 0 50,
]
}
coordIndex [
2,1,3,-1,
1,0,3,-1,
]
}
}
Shape {
appearance Appearance {
material USE _material0
}
geometry IndexedFaceSet {
solid FALSE
coord Coordinate {
point [
50 0 50,
50 0 0,
0 0 0,
0 0 50,
]
}
coordIndex [
2,1,3,-1,
1,0,3,-1,
]
}
}
]
}
]
}
]
}
]
}
]
}
あなたの予想される出力は何を？簡素化する
itertools.takewhile()とitertools.dropwhile()機能を使用loggingライブラリ期待される出力は理想的には、 'IndexedFaceSet 1,2,3 ...'というキーと対応するデータ、すなわち各面に関連付けられた[translate、verts、facets、normals]キーを持つ辞書です（現在の関数の出力、現時点で最初のIndexedFaceSetの場合）。 – user3641829