commit
709f19e5ab
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@ -10,7 +10,9 @@ if sys.version_info < (2,6):
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import ctypes
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import os
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import numpy
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try: import numpy
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except: numpy = None
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import logging
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logger = logging.getLogger("pyassimp")
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@ -33,12 +35,30 @@ _assimp_lib = AssimpLib()
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def make_tuple(ai_obj, type = None):
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res = None
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#notes:
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# ai_obj._fields_ = [ ("attr", c_type), ... ]
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# getattr(ai_obj, e[0]).__class__ == float
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if isinstance(ai_obj, structs.Matrix4x4):
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res = numpy.array([getattr(ai_obj, e[0]) for e in ai_obj._fields_]).reshape((4,4))
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if numpy:
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res = numpy.array([getattr(ai_obj, e[0]) for e in ai_obj._fields_]).reshape((4,4))
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#import pdb;pdb.set_trace()
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else:
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res = [getattr(ai_obj, e[0]) for e in ai_obj._fields_]
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res = [res[i:i+4] for i in xrange(0,16,4)]
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elif isinstance(ai_obj, structs.Matrix3x3):
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res = numpy.array([getattr(ai_obj, e[0]) for e in ai_obj._fields_]).reshape((3,3))
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if numpy:
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res = numpy.array([getattr(ai_obj, e[0]) for e in ai_obj._fields_]).reshape((3,3))
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else:
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res = [getattr(ai_obj, e[0]) for e in ai_obj._fields_]
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res = [res[i:i+3] for i in xrange(0,9,3)]
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else:
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res = numpy.array([getattr(ai_obj, e[0]) for e in ai_obj._fields_])
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if numpy:
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res = numpy.array([getattr(ai_obj, e[0]) for e in ai_obj._fields_])
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else:
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res = [getattr(ai_obj, e[0]) for e in ai_obj._fields_]
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return res
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# It is faster and more correct to have an init function for each assimp class
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@ -135,9 +155,14 @@ def _init(self, target = None, parent = None):
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try:
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if obj._type_ in structs.assimp_structs_as_tuple:
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setattr(target, name, numpy.array([make_tuple(obj[i]) for i in range(length)], dtype=numpy.float32))
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if numpy:
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setattr(target, name, numpy.array([make_tuple(obj[i]) for i in range(length)], dtype=numpy.float32))
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logger.debug(str(self) + ": Added an array of numpy arrays (type "+ str(type(obj)) + ") as self." + name)
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logger.debug(str(self) + ": Added an array of numpy arrays (type "+ str(type(obj)) + ") as self." + name)
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else:
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setattr(target, name, [make_tuple(obj[i]) for i in range(length)])
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logger.debug(str(self) + ": Added a list of lists (type "+ str(type(obj)) + ") as self." + name)
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else:
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setattr(target, name, [obj[i] for i in range(length)]) #TODO: maybe not necessary to recreate an array?
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@ -292,7 +317,10 @@ def release(scene):
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def _finalize_texture(tex, target):
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setattr(target, "achformathint", tex.achFormatHint)
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data = numpy.array([make_tuple(getattr(tex, "pcData")[i]) for i in range(tex.mWidth * tex.mHeight)])
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if numpy:
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data = numpy.array([make_tuple(getattr(tex, "pcData")[i]) for i in range(tex.mWidth * tex.mHeight)])
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else:
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data = [make_tuple(getattr(tex, "pcData")[i]) for i in range(tex.mWidth * tex.mHeight)]
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setattr(target, "data", data)
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def _finalize_mesh(mesh, target):
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@ -308,11 +336,18 @@ def _finalize_mesh(mesh, target):
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def fill(name):
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mAttr = getattr(mesh, name)
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if mAttr:
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data = numpy.array([make_tuple(getattr(mesh, name)[i]) for i in range(nb_vertices)], dtype=numpy.float32)
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setattr(target, name[1:].lower(), data)
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if numpy:
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if mAttr:
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data = numpy.array([make_tuple(getattr(mesh, name)[i]) for i in range(nb_vertices)], dtype=numpy.float32)
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setattr(target, name[1:].lower(), data)
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else:
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setattr(target, name[1:].lower(), numpy.array([], dtype="float32"))
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else:
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setattr(target, name[1:].lower(), numpy.array([], dtype="float32"))
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if mAttr:
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data = [make_tuple(getattr(mesh, name)[i]) for i in range(nb_vertices)]
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setattr(target, name[1:].lower(), data)
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else:
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setattr(target, name[1:].lower(), [])
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def fillarray(name):
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mAttr = getattr(mesh, name)
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@ -322,7 +357,10 @@ def _finalize_mesh(mesh, target):
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if mSubAttr:
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data.append([make_tuple(getattr(mesh, name)[index][i]) for i in range(nb_vertices)])
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setattr(target, name[1:].lower(), numpy.array(data, dtype=numpy.float32))
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if numpy:
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setattr(target, name[1:].lower(), numpy.array(data, dtype=numpy.float32))
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else:
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setattr(target, name[1:].lower(), data)
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fill("mNormals")
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fill("mTangents")
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@ -332,7 +370,10 @@ def _finalize_mesh(mesh, target):
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fillarray("mTextureCoords")
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# prepare faces
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faces = numpy.array([f.indices for f in target.faces], dtype=numpy.int32)
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if numpy:
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faces = numpy.array([f.indices for f in target.faces], dtype=numpy.int32)
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else:
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faces = [f.indices for f in target.faces]
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setattr(target, 'faces', faces)
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@ -8,8 +8,9 @@ import os
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import ctypes
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from ctypes import POINTER
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import operator
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import numpy
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from numpy import linalg
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try: import numpy
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except: numpy = None
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import logging;logger = logging.getLogger("pyassimp")
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@ -46,20 +47,88 @@ def vec2tuple(x):
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def transform(vector3, matrix4x4):
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""" Apply a transformation matrix on a 3D vector.
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:param vector3: a numpy array with 3 elements
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:param matrix4x4: a numpy 4x4 matrix
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:param vector3: array with 3 elements
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:param matrix4x4: 4x4 matrix
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"""
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return numpy.dot(matrix4x4, numpy.append(vector3, 1.))
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if numpy:
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return numpy.dot(matrix4x4, numpy.append(vector3, 1.))
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else:
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m0,m1,m2,m3 = matrix4x4; x,y,z = vector3
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return [
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m0[0]*x + m0[1]*y + m0[2]*z + m0[3],
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m1[0]*x + m1[1]*y + m1[2]*z + m1[3],
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m2[0]*x + m2[1]*y + m2[2]*z + m2[3],
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m3[0]*x + m3[1]*y + m3[2]*z + m3[3]
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]
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def _inv(matrix4x4):
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m0,m1,m2,m3 = matrix4x4
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det = m0[3]*m1[2]*m2[1]*m3[0] - m0[2]*m1[3]*m2[1]*m3[0] - \
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m0[3]*m1[1]*m2[2]*m3[0] + m0[1]*m1[3]*m2[2]*m3[0] + \
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m0[2]*m1[1]*m2[3]*m3[0] - m0[1]*m1[2]*m2[3]*m3[0] - \
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m0[3]*m1[2]*m2[0]*m3[1] + m0[2]*m1[3]*m2[0]*m3[1] + \
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m0[3]*m1[0]*m2[2]*m3[1] - m0[0]*m1[3]*m2[2]*m3[1] - \
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m0[2]*m1[0]*m2[3]*m3[1] + m0[0]*m1[2]*m2[3]*m3[1] + \
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m0[3]*m1[1]*m2[0]*m3[2] - m0[1]*m1[3]*m2[0]*m3[2] - \
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m0[3]*m1[0]*m2[1]*m3[2] + m0[0]*m1[3]*m2[1]*m3[2] + \
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m0[1]*m1[0]*m2[3]*m3[2] - m0[0]*m1[1]*m2[3]*m3[2] - \
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m0[2]*m1[1]*m2[0]*m3[3] + m0[1]*m1[2]*m2[0]*m3[3] + \
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m0[2]*m1[0]*m2[1]*m3[3] - m0[0]*m1[2]*m2[1]*m3[3] - \
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m0[1]*m1[0]*m2[2]*m3[3] + m0[0]*m1[1]*m2[2]*m3[3]
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return[[( m1[2]*m2[3]*m3[1] - m1[3]*m2[2]*m3[1] + m1[3]*m2[1]*m3[2] - m1[1]*m2[3]*m3[2] - m1[2]*m2[1]*m3[3] + m1[1]*m2[2]*m3[3]) /det,
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( m0[3]*m2[2]*m3[1] - m0[2]*m2[3]*m3[1] - m0[3]*m2[1]*m3[2] + m0[1]*m2[3]*m3[2] + m0[2]*m2[1]*m3[3] - m0[1]*m2[2]*m3[3]) /det,
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( m0[2]*m1[3]*m3[1] - m0[3]*m1[2]*m3[1] + m0[3]*m1[1]*m3[2] - m0[1]*m1[3]*m3[2] - m0[2]*m1[1]*m3[3] + m0[1]*m1[2]*m3[3]) /det,
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( m0[3]*m1[2]*m2[1] - m0[2]*m1[3]*m2[1] - m0[3]*m1[1]*m2[2] + m0[1]*m1[3]*m2[2] + m0[2]*m1[1]*m2[3] - m0[1]*m1[2]*m2[3]) /det],
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[( m1[3]*m2[2]*m3[0] - m1[2]*m2[3]*m3[0] - m1[3]*m2[0]*m3[2] + m1[0]*m2[3]*m3[2] + m1[2]*m2[0]*m3[3] - m1[0]*m2[2]*m3[3]) /det,
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( m0[2]*m2[3]*m3[0] - m0[3]*m2[2]*m3[0] + m0[3]*m2[0]*m3[2] - m0[0]*m2[3]*m3[2] - m0[2]*m2[0]*m3[3] + m0[0]*m2[2]*m3[3]) /det,
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( m0[3]*m1[2]*m3[0] - m0[2]*m1[3]*m3[0] - m0[3]*m1[0]*m3[2] + m0[0]*m1[3]*m3[2] + m0[2]*m1[0]*m3[3] - m0[0]*m1[2]*m3[3]) /det,
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( m0[2]*m1[3]*m2[0] - m0[3]*m1[2]*m2[0] + m0[3]*m1[0]*m2[2] - m0[0]*m1[3]*m2[2] - m0[2]*m1[0]*m2[3] + m0[0]*m1[2]*m2[3]) /det],
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[( m1[1]*m2[3]*m3[0] - m1[3]*m2[1]*m3[0] + m1[3]*m2[0]*m3[1] - m1[0]*m2[3]*m3[1] - m1[1]*m2[0]*m3[3] + m1[0]*m2[1]*m3[3]) /det,
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( m0[3]*m2[1]*m3[0] - m0[1]*m2[3]*m3[0] - m0[3]*m2[0]*m3[1] + m0[0]*m2[3]*m3[1] + m0[1]*m2[0]*m3[3] - m0[0]*m2[1]*m3[3]) /det,
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( m0[1]*m1[3]*m3[0] - m0[3]*m1[1]*m3[0] + m0[3]*m1[0]*m3[1] - m0[0]*m1[3]*m3[1] - m0[1]*m1[0]*m3[3] + m0[0]*m1[1]*m3[3]) /det,
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( m0[3]*m1[1]*m2[0] - m0[1]*m1[3]*m2[0] - m0[3]*m1[0]*m2[1] + m0[0]*m1[3]*m2[1] + m0[1]*m1[0]*m2[3] - m0[0]*m1[1]*m2[3]) /det],
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[( m1[2]*m2[1]*m3[0] - m1[1]*m2[2]*m3[0] - m1[2]*m2[0]*m3[1] + m1[0]*m2[2]*m3[1] + m1[1]*m2[0]*m3[2] - m1[0]*m2[1]*m3[2]) /det,
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( m0[1]*m2[2]*m3[0] - m0[2]*m2[1]*m3[0] + m0[2]*m2[0]*m3[1] - m0[0]*m2[2]*m3[1] - m0[1]*m2[0]*m3[2] + m0[0]*m2[1]*m3[2]) /det,
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( m0[2]*m1[1]*m3[0] - m0[1]*m1[2]*m3[0] - m0[2]*m1[0]*m3[1] + m0[0]*m1[2]*m3[1] + m0[1]*m1[0]*m3[2] - m0[0]*m1[1]*m3[2]) /det,
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( m0[1]*m1[2]*m2[0] - m0[2]*m1[1]*m2[0] + m0[2]*m1[0]*m2[1] - m0[0]*m1[2]*m2[1] - m0[1]*m1[0]*m2[2] + m0[0]*m1[1]*m2[2]) /det]]
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def get_bounding_box(scene):
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bb_min = [1e10, 1e10, 1e10] # x,y,z
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bb_max = [-1e10, -1e10, -1e10] # x,y,z
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return get_bounding_box_for_node(scene.rootnode, bb_min, bb_max, linalg.inv(scene.rootnode.transformation))
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inv = numpy.linalg.inv if numpy else _inv
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return get_bounding_box_for_node(scene.rootnode, bb_min, bb_max, inv(scene.rootnode.transformation))
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def get_bounding_box_for_node(node, bb_min, bb_max, transformation):
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transformation = numpy.dot(transformation, node.transformation)
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if numpy:
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transformation = numpy.dot(transformation, node.transformation)
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else:
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t0,t1,t2,t3 = transformation
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T0,T1,T2,T3 = node.transformation
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transformation = [ [
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t0[0]*T0[0] + t0[1]*T1[0] + t0[2]*T2[0] + t0[3]*T3[0],
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t0[0]*T0[1] + t0[1]*T1[1] + t0[2]*T2[1] + t0[3]*T3[1],
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t0[0]*T0[2] + t0[1]*T1[2] + t0[2]*T2[2] + t0[3]*T3[2],
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t0[0]*T0[3] + t0[1]*T1[3] + t0[2]*T2[3] + t0[3]*T3[3]
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],[
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t1[0]*T0[0] + t1[1]*T1[0] + t1[2]*T2[0] + t1[3]*T3[0],
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t1[0]*T0[1] + t1[1]*T1[1] + t1[2]*T2[1] + t1[3]*T3[1],
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t1[0]*T0[2] + t1[1]*T1[2] + t1[2]*T2[2] + t1[3]*T3[2],
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t1[0]*T0[3] + t1[1]*T1[3] + t1[2]*T2[3] + t1[3]*T3[3]
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],[
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t2[0]*T0[0] + t2[1]*T1[0] + t2[2]*T2[0] + t2[3]*T3[0],
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t2[0]*T0[1] + t2[1]*T1[1] + t2[2]*T2[1] + t2[3]*T3[1],
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t2[0]*T0[2] + t2[1]*T1[2] + t2[2]*T2[2] + t2[3]*T3[2],
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t2[0]*T0[3] + t2[1]*T1[3] + t2[2]*T2[3] + t2[3]*T3[3]
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],[
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t3[0]*T0[0] + t3[1]*T1[0] + t3[2]*T2[0] + t3[3]*T3[0],
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t3[0]*T0[1] + t3[1]*T1[1] + t3[2]*T2[1] + t3[3]*T3[1],
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t3[0]*T0[2] + t3[1]*T1[2] + t3[2]*T2[2] + t3[3]*T3[2],
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t3[0]*T0[3] + t3[1]*T1[3] + t3[2]*T2[3] + t3[3]*T3[3]
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] ]
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for mesh in node.meshes:
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for v in mesh.vertices:
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v = transform(v, transformation)
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Loading…
Reference in New Issue