def coplaner_neighbors(fid, fNormal, tag):
vertexIds = ModelData.dictFaces[fid].get_vids()
for i in range(0, 3):
j = 0
if i < 2:
j = i + 1
face = CarveFunc.get_neighbor_shellface([vertexIds[i], vertexIds[j]], fid)
if face not in tag and face is not None:
newVertids = ModelData.dictFaces[face].get_vids()
Normal = SimpleMath.get_face_normal([ModelData.dictVertices[newVertids[0]], ModelData.dictVertices[newVertids[1]], ModelData.dictVertices[newVertids[2]]])
if SimpleMath.vector_length_3(Normal) > SimpleMath.Tol and SimpleMath.dot_product_3(fNormal, Normal) > SimpleMath.NeighborAngle:
tag.append(face)
#only select the adjacent neighbors
#coplaner_neighbors(face, Normal, tag)
def do_the_work(inputFilePath, isSemantic, debugControl):
#Init mid files
if os.path.exists(MIDFILEPATH):
os.remove(MIDFILEPATH)
#Init datastructure
ModelDataFuncs.Init()
ModelData.strInputFileName, ext = os.path.splitext(inputFilePath)
#read file
print ("----Processing file----")
print (inputFilePath)
if isSemantic == True:
if os.path.splitext(inputFilePath)[1] == '.obj':
print('WARNING: obj format does not contain semantics')
print('Semantics will be deduced')
print ("Check and tessellate the file...")
MyCov = ConvProvider()
MyCov.convert(inputFilePath, MIDFILEPATH, True)
#read a tesselated objfile
if ModelDataFuncs.reader_obj(MIDFILEPATH) == False:
raise Exception
else:
#poly with semantics
try:
if not ModelDataFuncs.reader_poly_with_semantics(inputFilePath):
return
except:
raise ImportError
else:
#preprocess (convert and tessellation)
print ("Check and tessellate the file...")
MyCov = ConvProvider()
MyCov.convert(inputFilePath, MIDFILEPATH, True)
#read a tesselated objfile
if ModelDataFuncs.reader_obj(MIDFILEPATH) == False:
raise Exception
#invert the normal of the input model
if ModelData.global_INVERT_NORMAL:
ModelDataFuncs.invert_poly_normal()
#only for debug
#tmp = ModelData.centerVertex
#ModelData.centerVertex = (0.0, 0.0, 0.0)
#ModelDataFuncs.writer_obj(ModelData.strInputFileName+"_CLS.obj")
#ModelData.centerVertex = tmp
#
if int(debugControl) == 1:
#Decomposit all the triangles
DecomposeFunc.model_decompositionEx()
#Merge all the coplaner dictFaces
#coplaner_face_merge()
#ModelDataFuncs.writer_obj(ModelData.strInputFileName+"_DEC.obj")
elif int(debugControl) == 2:
#Constrained Tetrahedralization
if False == TetraFunc.CDT():
print("Constrained Delauney Tetrahedralization FAILED!")
return
#ModelDataFuncs.writer_obj(ModelData.strInputFileName+"_CDT.obj")
#Heuristic carving
CarveFunc.heuristic_tet_carving()
#ModelDataFuncs.writer_obj(ModelData.strInputFileName+"_CARVE.obj")
#Reconstruct the mesh from tetrahedron
TetraFunc.extract_mesh_from_tet(isSemantic)
#Output
ModelDataFuncs.writer_obj(ModelData.strInputFileName+"_OUTPUT.obj")
if isSemantic:
ModelDataFuncs.writer_poly_with_semantics(ModelData.strInputFileName + "_OUTPUT.poly")
elif int(debugControl) == 3:
#only deduce the semantics
TetraFunc.deduce_semantics_of_poly(isSemantic)
ModelDataFuncs.writer_poly_with_semantics(ModelData.strInputFileName + "_OUTPUT.poly")
else:
#Decomposit all the triangles
DecomposeFunc.model_decompositionEx()
#Merge all the coplaner dictFaces
#coplaner_face_merge()
ModelDataFuncs.writer_obj(ModelData.strInputFileName +"_DEC.obj")
#Constrained Tetrahedralization
if False == TetraFunc.CDT():
print("Constrained Delauney Tetrahedralization FAILED!")
return
ModelDataFuncs.writer_obj(ModelData.strInputFileName+"_CDT.obj")
#Heuristic carving
CarveFunc.heuristic_tet_carving()
ModelDataFuncs.writer_obj(ModelData.strInputFileName+"_CARVE.obj")
#Reconstruct the mesh from tetrahedron
TetraFunc.extract_mesh_from_tet(isSemantic)
#Output
ModelDataFuncs.writer_obj(ModelData.strInputFileName + "_OUTPUT.obj")
if isSemantic:
ModelDataFuncs.writer_poly_with_semantics(ModelData.strInputFileName + "_OUTPUT.poly")
