new stuff
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574
assimp/port/PyAssimp/pyassimp/core.py
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574
assimp/port/PyAssimp/pyassimp/core.py
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@ -0,0 +1,574 @@
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"""
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PyAssimp
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This is the main-module of PyAssimp.
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"""
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import sys
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if sys.version_info < (2,6):
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raise RuntimeError('pyassimp: need python 2.6 or newer')
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# xrange was renamed range in Python 3 and the original range from Python 2 was removed.
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# To keep compatibility with both Python 2 and 3, xrange is set to range for version 3.0 and up.
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if sys.version_info >= (3,0):
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xrange = range
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try:
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import numpy
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except ImportError:
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numpy = None
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import logging
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import ctypes
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from contextlib import contextmanager
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logger = logging.getLogger("pyassimp")
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# attach default null handler to logger so it doesn't complain
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# even if you don't attach another handler to logger
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logger.addHandler(logging.NullHandler())
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from . import structs
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from . import helper
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from . import postprocess
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from .errors import AssimpError
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class AssimpLib(object):
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"""
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Assimp-Singleton
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"""
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load, load_mem, export, export_blob, release, dll = helper.search_library()
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_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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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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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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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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# Returns unicode object for Python 2, and str object for Python 3.
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def _convert_assimp_string(assimp_string):
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if sys.version_info >= (3, 0):
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return str(assimp_string.data, errors='ignore')
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else:
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return unicode(assimp_string.data, errors='ignore')
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# It is faster and more correct to have an init function for each assimp class
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def _init_face(aiFace):
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aiFace.indices = [aiFace.mIndices[i] for i in range(aiFace.mNumIndices)]
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assimp_struct_inits = { structs.Face : _init_face }
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def call_init(obj, caller = None):
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if helper.hasattr_silent(obj,'contents'): #pointer
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_init(obj.contents, obj, caller)
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else:
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_init(obj,parent=caller)
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def _is_init_type(obj):
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if obj and helper.hasattr_silent(obj,'contents'): #pointer
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return _is_init_type(obj[0])
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# null-pointer case that arises when we reach a mesh attribute
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# like mBitangents which use mNumVertices rather than mNumBitangents
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# so it breaks the 'is iterable' check.
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# Basically:
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# FIXME!
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elif not bool(obj):
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return False
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tname = obj.__class__.__name__
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return not (tname[:2] == 'c_' or tname == 'Structure' \
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or tname == 'POINTER') and not isinstance(obj, (int, str, bytes))
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def _init(self, target = None, parent = None):
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"""
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Custom initialize() for C structs, adds safely accessible member functionality.
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:param target: set the object which receive the added methods. Useful when manipulating
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pointers, to skip the intermediate 'contents' deferencing.
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"""
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if not target:
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target = self
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dirself = dir(self)
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for m in dirself:
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if m.startswith("_"):
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continue
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# We should not be accessing `mPrivate` according to structs.Scene.
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if m == 'mPrivate':
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continue
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if m.startswith('mNum'):
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if 'm' + m[4:] in dirself:
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continue # will be processed later on
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else:
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name = m[1:].lower()
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obj = getattr(self, m)
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setattr(target, name, obj)
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continue
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if m == 'mName':
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target.name = str(_convert_assimp_string(self.mName))
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target.__class__.__repr__ = lambda x: str(x.__class__) + "(" + getattr(x, 'name','') + ")"
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target.__class__.__str__ = lambda x: getattr(x, 'name', '')
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continue
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name = m[1:].lower()
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obj = getattr(self, m)
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# Create tuples
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if isinstance(obj, structs.assimp_structs_as_tuple):
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setattr(target, name, make_tuple(obj))
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logger.debug(str(self) + ": Added array " + str(getattr(target, name)) + " as self." + name.lower())
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continue
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if m.startswith('m') and len(m) > 1 and m[1].upper() == m[1]:
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if name == "parent":
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setattr(target, name, parent)
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logger.debug("Added a parent as self." + name)
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continue
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if helper.hasattr_silent(self, 'mNum' + m[1:]):
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length = getattr(self, 'mNum' + m[1:])
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# -> special case: properties are
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# stored as a dict.
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if m == 'mProperties':
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setattr(target, name, _get_properties(obj, length))
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continue
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if not length: # empty!
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setattr(target, name, [])
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logger.debug(str(self) + ": " + name + " is an empty list.")
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continue
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try:
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if obj._type_ in structs.assimp_structs_as_tuple:
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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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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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logger.debug(str(self) + ": Added list of " + str(obj) + " " + name + " as self." + name + " (type: " + str(type(obj)) + ")")
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# initialize array elements
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try:
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init = assimp_struct_inits[type(obj[0])]
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except KeyError:
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if _is_init_type(obj[0]):
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for e in getattr(target, name):
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call_init(e, target)
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else:
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for e in getattr(target, name):
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init(e)
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except IndexError:
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logger.error("in " + str(self) +" : mismatch between mNum" + name + " and the actual amount of data in m" + name + ". This may be due to version mismatch between libassimp and pyassimp. Quitting now.")
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sys.exit(1)
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except ValueError as e:
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logger.error("In " + str(self) + "->" + name + ": " + str(e) + ". Quitting now.")
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if "setting an array element with a sequence" in str(e):
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logger.error("Note that pyassimp does not currently "
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"support meshes with mixed triangles "
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"and quads. Try to load your mesh with"
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" a post-processing to triangulate your"
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" faces.")
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raise e
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else: # starts with 'm' but not iterable
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setattr(target, name, obj)
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logger.debug("Added " + name + " as self." + name + " (type: " + str(type(obj)) + ")")
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if _is_init_type(obj):
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call_init(obj, target)
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if isinstance(self, structs.Mesh):
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_finalize_mesh(self, target)
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if isinstance(self, structs.Texture):
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_finalize_texture(self, target)
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if isinstance(self, structs.Metadata):
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_finalize_metadata(self, target)
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return self
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def pythonize_assimp(type, obj, scene):
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""" This method modify the Assimp data structures
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to make them easier to work with in Python.
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Supported operations:
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- MESH: replace a list of mesh IDs by reference to these meshes
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- ADDTRANSFORMATION: add a reference to an object's transformation taken from their associated node.
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:param type: the type of modification to operate (cf above)
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:param obj: the input object to modify
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:param scene: a reference to the whole scene
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"""
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if type == "MESH":
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meshes = []
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for i in obj:
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meshes.append(scene.meshes[i])
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return meshes
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if type == "ADDTRANSFORMATION":
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def getnode(node, name):
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if node.name == name: return node
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for child in node.children:
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n = getnode(child, name)
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if n: return n
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node = getnode(scene.rootnode, obj.name)
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if not node:
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raise AssimpError("Object " + str(obj) + " has no associated node!")
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setattr(obj, "transformation", node.transformation)
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def recur_pythonize(node, scene):
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'''
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Recursively call pythonize_assimp on
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nodes tree to apply several post-processing to
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pythonize the assimp datastructures.
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'''
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node.meshes = pythonize_assimp("MESH", node.meshes, scene)
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for mesh in node.meshes:
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mesh.material = scene.materials[mesh.materialindex]
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for cam in scene.cameras:
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pythonize_assimp("ADDTRANSFORMATION", cam, scene)
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for c in node.children:
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recur_pythonize(c, scene)
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def release(scene):
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'''
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Release resources of a loaded scene.
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'''
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_assimp_lib.release(ctypes.pointer(scene))
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@contextmanager
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def load(filename,
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file_type = None,
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processing = postprocess.aiProcess_Triangulate):
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'''
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Load a model into a scene. On failure throws AssimpError.
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Arguments
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---------
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filename: Either a filename or a file object to load model from.
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If a file object is passed, file_type MUST be specified
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Otherwise Assimp has no idea which importer to use.
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This is named 'filename' so as to not break legacy code.
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processing: assimp postprocessing parameters. Verbose keywords are imported
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from postprocessing, and the parameters can be combined bitwise to
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generate the final processing value. Note that the default value will
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triangulate quad faces. Example of generating other possible values:
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processing = (pyassimp.postprocess.aiProcess_Triangulate |
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pyassimp.postprocess.aiProcess_OptimizeMeshes)
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file_type: string of file extension, such as 'stl'
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Returns
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---------
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Scene object with model data
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'''
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from ctypes import c_char_p
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if hasattr(filename, 'read'):
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# This is the case where a file object has been passed to load.
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# It is calling the following function:
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# const aiScene* aiImportFileFromMemory(const char* pBuffer,
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# unsigned int pLength,
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# unsigned int pFlags,
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# const char* pHint)
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if file_type is None:
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raise AssimpError('File type must be specified when passing file objects!')
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data = filename.read()
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model = _assimp_lib.load_mem(data,
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len(data),
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processing,
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c_char_p(file_type.encode(sys.getfilesystemencoding())))
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else:
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# a filename string has been passed
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model = _assimp_lib.load(filename.encode(sys.getfilesystemencoding()), processing)
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if not model:
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raise AssimpError('Could not import file!')
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scene = _init(model.contents)
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recur_pythonize(scene.rootnode, scene)
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try:
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yield scene
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finally:
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release(scene)
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def export(scene,
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filename,
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file_type = None,
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processing = postprocess.aiProcess_Triangulate):
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'''
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Export a scene. On failure throws AssimpError.
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Arguments
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---------
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scene: scene to export.
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filename: Filename that the scene should be exported to.
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file_type: string of file exporter to use. For example "collada".
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processing: assimp postprocessing parameters. Verbose keywords are imported
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from postprocessing, and the parameters can be combined bitwise to
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generate the final processing value. Note that the default value will
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triangulate quad faces. Example of generating other possible values:
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processing = (pyassimp.postprocess.aiProcess_Triangulate |
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pyassimp.postprocess.aiProcess_OptimizeMeshes)
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'''
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exportStatus = _assimp_lib.export(ctypes.pointer(scene), file_type.encode("ascii"), filename.encode(sys.getfilesystemencoding()), processing)
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if exportStatus != 0:
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raise AssimpError('Could not export scene!')
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def export_blob(scene,
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file_type = None,
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processing = postprocess.aiProcess_Triangulate):
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'''
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Export a scene and return a blob in the correct format. On failure throws AssimpError.
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Arguments
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---------
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scene: scene to export.
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file_type: string of file exporter to use. For example "collada".
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processing: assimp postprocessing parameters. Verbose keywords are imported
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from postprocessing, and the parameters can be combined bitwise to
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generate the final processing value. Note that the default value will
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triangulate quad faces. Example of generating other possible values:
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processing = (pyassimp.postprocess.aiProcess_Triangulate |
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pyassimp.postprocess.aiProcess_OptimizeMeshes)
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Returns
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---------
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Pointer to structs.ExportDataBlob
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'''
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exportBlobPtr = _assimp_lib.export_blob(ctypes.pointer(scene), file_type.encode("ascii"), processing)
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if exportBlobPtr == 0:
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raise AssimpError('Could not export scene to blob!')
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return exportBlobPtr
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def available_formats():
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"""
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Return a list of file format extensions supported to import.
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Returns
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---------
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A list of upper-case file extensions, e.g. [3DS, OBJ]
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"""
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from ctypes import byref
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extension_list = structs.String()
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_assimp_lib.dll.aiGetExtensionList(byref(extension_list))
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return [e[2:].upper() for e in str(extension_list.data, sys.getfilesystemencoding()).split(";")]
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def _finalize_texture(tex, target):
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setattr(target, "achformathint", tex.achFormatHint)
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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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""" Building of meshes is a bit specific.
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We override here the various datasets that can
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not be process as regular fields.
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For instance, the length of the normals array is
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mNumVertices (no mNumNormals is available)
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"""
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nb_vertices = getattr(mesh, "mNumVertices")
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def fill(name):
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mAttr = getattr(mesh, name)
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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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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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data = []
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for index, mSubAttr in enumerate(mAttr):
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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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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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fill("mBitangents")
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fillarray("mColors")
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fillarray("mTextureCoords")
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# prepare faces
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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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def _init_metadata_entry(entry):
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entry.type = entry.mType
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if entry.type == structs.MetadataEntry.AI_BOOL:
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entry.data = ctypes.cast(entry.mData, ctypes.POINTER(ctypes.c_bool)).contents.value
|
||||
elif entry.type == structs.MetadataEntry.AI_INT32:
|
||||
entry.data = ctypes.cast(entry.mData, ctypes.POINTER(ctypes.c_int32)).contents.value
|
||||
elif entry.type == structs.MetadataEntry.AI_UINT64:
|
||||
entry.data = ctypes.cast(entry.mData, ctypes.POINTER(ctypes.c_uint64)).contents.value
|
||||
elif entry.type == structs.MetadataEntry.AI_FLOAT:
|
||||
entry.data = ctypes.cast(entry.mData, ctypes.POINTER(ctypes.c_float)).contents.value
|
||||
elif entry.type == structs.MetadataEntry.AI_DOUBLE:
|
||||
entry.data = ctypes.cast(entry.mData, ctypes.POINTER(ctypes.c_double)).contents.value
|
||||
elif entry.type == structs.MetadataEntry.AI_AISTRING:
|
||||
assimp_string = ctypes.cast(entry.mData, ctypes.POINTER(structs.String)).contents
|
||||
entry.data = _convert_assimp_string(assimp_string)
|
||||
elif entry.type == structs.MetadataEntry.AI_AIVECTOR3D:
|
||||
assimp_vector = ctypes.cast(entry.mData, ctypes.POINTER(structs.Vector3D)).contents
|
||||
entry.data = make_tuple(assimp_vector)
|
||||
|
||||
return entry
|
||||
|
||||
def _finalize_metadata(metadata, target):
|
||||
""" Building the metadata object is a bit specific.
|
||||
|
||||
Firstly, there are two separate arrays: one with metadata keys and one
|
||||
with metadata values, and there are no corresponding mNum* attributes,
|
||||
so the C arrays are not converted to Python arrays using the generic
|
||||
code in the _init function.
|
||||
|
||||
Secondly, a metadata entry value has to be cast according to declared
|
||||
metadata entry type.
|
||||
"""
|
||||
length = metadata.mNumProperties
|
||||
setattr(target, 'keys', [str(_convert_assimp_string(metadata.mKeys[i])) for i in range(length)])
|
||||
setattr(target, 'values', [_init_metadata_entry(metadata.mValues[i]) for i in range(length)])
|
||||
|
||||
class PropertyGetter(dict):
|
||||
def __getitem__(self, key):
|
||||
semantic = 0
|
||||
if isinstance(key, tuple):
|
||||
key, semantic = key
|
||||
|
||||
return dict.__getitem__(self, (key, semantic))
|
||||
|
||||
def keys(self):
|
||||
for k in dict.keys(self):
|
||||
yield k[0]
|
||||
|
||||
def __iter__(self):
|
||||
return self.keys()
|
||||
|
||||
def items(self):
|
||||
for k, v in dict.items(self):
|
||||
yield k[0], v
|
||||
|
||||
|
||||
def _get_properties(properties, length):
|
||||
"""
|
||||
Convenience Function to get the material properties as a dict
|
||||
and values in a python format.
|
||||
"""
|
||||
result = {}
|
||||
#read all properties
|
||||
for p in [properties[i] for i in range(length)]:
|
||||
#the name
|
||||
p = p.contents
|
||||
key = str(_convert_assimp_string(p.mKey))
|
||||
key = (key.split('.')[1], p.mSemantic)
|
||||
|
||||
#the data
|
||||
if p.mType == 1:
|
||||
arr = ctypes.cast(p.mData,
|
||||
ctypes.POINTER(ctypes.c_float * int(p.mDataLength/ctypes.sizeof(ctypes.c_float)))
|
||||
).contents
|
||||
value = [x for x in arr]
|
||||
elif p.mType == 3: #string can't be an array
|
||||
value = _convert_assimp_string(ctypes.cast(p.mData, ctypes.POINTER(structs.MaterialPropertyString)).contents)
|
||||
|
||||
elif p.mType == 4:
|
||||
arr = ctypes.cast(p.mData,
|
||||
ctypes.POINTER(ctypes.c_int * int(p.mDataLength/ctypes.sizeof(ctypes.c_int)))
|
||||
).contents
|
||||
value = [x for x in arr]
|
||||
else:
|
||||
value = p.mData[:p.mDataLength]
|
||||
|
||||
if len(value) == 1:
|
||||
[value] = value
|
||||
|
||||
result[key] = value
|
||||
|
||||
return PropertyGetter(result)
|
||||
|
||||
def decompose_matrix(matrix):
|
||||
if not isinstance(matrix, structs.Matrix4x4):
|
||||
raise AssimpError("pyassimp.decompose_matrix failed: Not a Matrix4x4!")
|
||||
|
||||
scaling = structs.Vector3D()
|
||||
rotation = structs.Quaternion()
|
||||
position = structs.Vector3D()
|
||||
|
||||
_assimp_lib.dll.aiDecomposeMatrix(ctypes.pointer(matrix),
|
||||
ctypes.byref(scaling),
|
||||
ctypes.byref(rotation),
|
||||
ctypes.byref(position))
|
||||
return scaling._init(), rotation._init(), position._init()
|
||||
|
||||
Loading…
Add table
Add a link
Reference in a new issue