diff options
Diffstat (limited to 'src/mesh/assimp-master/port/PyAssimp/pyassimp/helper.py')
| -rw-r--r-- | src/mesh/assimp-master/port/PyAssimp/pyassimp/helper.py | 283 |
1 files changed, 0 insertions, 283 deletions
diff --git a/src/mesh/assimp-master/port/PyAssimp/pyassimp/helper.py b/src/mesh/assimp-master/port/PyAssimp/pyassimp/helper.py deleted file mode 100644 index 7c14f60..0000000 --- a/src/mesh/assimp-master/port/PyAssimp/pyassimp/helper.py +++ /dev/null @@ -1,283 +0,0 @@ -#-*- coding: UTF-8 -*- - -""" -Some fancy helper functions. -""" - -import os -import ctypes -import operator - -from distutils.sysconfig import get_python_lib -import re -import sys - -try: import numpy -except ImportError: numpy = None - -import logging;logger = logging.getLogger("pyassimp") - -from .errors import AssimpError - -additional_dirs, ext_whitelist = [],[] - -# populate search directories and lists of allowed file extensions -# depending on the platform we're running on. -if os.name=='posix': - additional_dirs.append('./') - additional_dirs.append('/usr/lib/') - additional_dirs.append('/usr/lib/x86_64-linux-gnu/') - additional_dirs.append('/usr/lib/aarch64-linux-gnu/') - additional_dirs.append('/usr/local/lib/') - - if 'LD_LIBRARY_PATH' in os.environ: - additional_dirs.extend([item for item in os.environ['LD_LIBRARY_PATH'].split(':') if item]) - - # check if running from anaconda. - anaconda_keywords = ("conda", "continuum") - if any(k in sys.version.lower() for k in anaconda_keywords): - cur_path = get_python_lib() - pattern = re.compile('.*\/lib\/') - conda_lib = pattern.match(cur_path).group() - logger.info("Adding Anaconda lib path:"+ conda_lib) - additional_dirs.append(conda_lib) - - # note - this won't catch libassimp.so.N.n, but - # currently there's always a symlink called - # libassimp.so in /usr/local/lib. - ext_whitelist.append('.so') - # libassimp.dylib in /usr/local/lib - ext_whitelist.append('.dylib') - -elif os.name=='nt': - ext_whitelist.append('.dll') - path_dirs = os.environ['PATH'].split(';') - additional_dirs.extend(path_dirs) - -def vec2tuple(x): - """ Converts a VECTOR3D to a Tuple """ - return (x.x, x.y, x.z) - -def transform(vector3, matrix4x4): - """ Apply a transformation matrix on a 3D vector. - - :param vector3: array with 3 elements - :param matrix4x4: 4x4 matrix - """ - if numpy: - return numpy.dot(matrix4x4, numpy.append(vector3, 1.)) - else: - m0,m1,m2,m3 = matrix4x4; x,y,z = vector3 - return [ - m0[0]*x + m0[1]*y + m0[2]*z + m0[3], - m1[0]*x + m1[1]*y + m1[2]*z + m1[3], - m2[0]*x + m2[1]*y + m2[2]*z + m2[3], - m3[0]*x + m3[1]*y + m3[2]*z + m3[3] - ] - -def _inv(matrix4x4): - m0,m1,m2,m3 = matrix4x4 - - det = m0[3]*m1[2]*m2[1]*m3[0] - m0[2]*m1[3]*m2[1]*m3[0] - \ - m0[3]*m1[1]*m2[2]*m3[0] + m0[1]*m1[3]*m2[2]*m3[0] + \ - m0[2]*m1[1]*m2[3]*m3[0] - m0[1]*m1[2]*m2[3]*m3[0] - \ - m0[3]*m1[2]*m2[0]*m3[1] + m0[2]*m1[3]*m2[0]*m3[1] + \ - m0[3]*m1[0]*m2[2]*m3[1] - m0[0]*m1[3]*m2[2]*m3[1] - \ - m0[2]*m1[0]*m2[3]*m3[1] + m0[0]*m1[2]*m2[3]*m3[1] + \ - m0[3]*m1[1]*m2[0]*m3[2] - m0[1]*m1[3]*m2[0]*m3[2] - \ - m0[3]*m1[0]*m2[1]*m3[2] + m0[0]*m1[3]*m2[1]*m3[2] + \ - m0[1]*m1[0]*m2[3]*m3[2] - m0[0]*m1[1]*m2[3]*m3[2] - \ - m0[2]*m1[1]*m2[0]*m3[3] + m0[1]*m1[2]*m2[0]*m3[3] + \ - m0[2]*m1[0]*m2[1]*m3[3] - m0[0]*m1[2]*m2[1]*m3[3] - \ - m0[1]*m1[0]*m2[2]*m3[3] + m0[0]*m1[1]*m2[2]*m3[3] - - 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, - ( 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, - ( 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, - ( 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], - [( 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, - ( 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, - ( 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, - ( 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], - [( 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, - ( 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, - ( 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, - ( 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], - [( 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, - ( 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, - ( 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, - ( 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]] - -def get_bounding_box(scene): - bb_min = [1e10, 1e10, 1e10] # x,y,z - bb_max = [-1e10, -1e10, -1e10] # x,y,z - inv = numpy.linalg.inv if numpy else _inv - return get_bounding_box_for_node(scene.rootnode, bb_min, bb_max, inv(scene.rootnode.transformation)) - -def get_bounding_box_for_node(node, bb_min, bb_max, transformation): - - if numpy: - transformation = numpy.dot(transformation, node.transformation) - else: - t0,t1,t2,t3 = transformation - T0,T1,T2,T3 = node.transformation - transformation = [ [ - t0[0]*T0[0] + t0[1]*T1[0] + t0[2]*T2[0] + t0[3]*T3[0], - t0[0]*T0[1] + t0[1]*T1[1] + t0[2]*T2[1] + t0[3]*T3[1], - t0[0]*T0[2] + t0[1]*T1[2] + t0[2]*T2[2] + t0[3]*T3[2], - t0[0]*T0[3] + t0[1]*T1[3] + t0[2]*T2[3] + t0[3]*T3[3] - ],[ - t1[0]*T0[0] + t1[1]*T1[0] + t1[2]*T2[0] + t1[3]*T3[0], - t1[0]*T0[1] + t1[1]*T1[1] + t1[2]*T2[1] + t1[3]*T3[1], - t1[0]*T0[2] + t1[1]*T1[2] + t1[2]*T2[2] + t1[3]*T3[2], - t1[0]*T0[3] + t1[1]*T1[3] + t1[2]*T2[3] + t1[3]*T3[3] - ],[ - t2[0]*T0[0] + t2[1]*T1[0] + t2[2]*T2[0] + t2[3]*T3[0], - t2[0]*T0[1] + t2[1]*T1[1] + t2[2]*T2[1] + t2[3]*T3[1], - t2[0]*T0[2] + t2[1]*T1[2] + t2[2]*T2[2] + t2[3]*T3[2], - t2[0]*T0[3] + t2[1]*T1[3] + t2[2]*T2[3] + t2[3]*T3[3] - ],[ - t3[0]*T0[0] + t3[1]*T1[0] + t3[2]*T2[0] + t3[3]*T3[0], - t3[0]*T0[1] + t3[1]*T1[1] + t3[2]*T2[1] + t3[3]*T3[1], - t3[0]*T0[2] + t3[1]*T1[2] + t3[2]*T2[2] + t3[3]*T3[2], - t3[0]*T0[3] + t3[1]*T1[3] + t3[2]*T2[3] + t3[3]*T3[3] - ] ] - - for mesh in node.meshes: - for v in mesh.vertices: - v = transform(v, transformation) - bb_min[0] = min(bb_min[0], v[0]) - bb_min[1] = min(bb_min[1], v[1]) - bb_min[2] = min(bb_min[2], v[2]) - bb_max[0] = max(bb_max[0], v[0]) - bb_max[1] = max(bb_max[1], v[1]) - bb_max[2] = max(bb_max[2], v[2]) - - - for child in node.children: - bb_min, bb_max = get_bounding_box_for_node(child, bb_min, bb_max, transformation) - - return bb_min, bb_max - -def try_load_functions(library_path, dll): - ''' - Try to bind to aiImportFile and aiReleaseImport - - Arguments - --------- - library_path: path to current lib - dll: ctypes handle to library - - Returns - --------- - If unsuccessful: - None - If successful: - Tuple containing (library_path, - load from filename function, - load from memory function, - export to filename function, - export to blob function, - release function, - ctypes handle to assimp library) - ''' - - try: - load = dll.aiImportFile - release = dll.aiReleaseImport - load_mem = dll.aiImportFileFromMemory - export = dll.aiExportScene - export2blob = dll.aiExportSceneToBlob - except AttributeError: - #OK, this is a library, but it doesn't have the functions we need - return None - - # library found! - from .structs import Scene, ExportDataBlob - load.restype = ctypes.POINTER(Scene) - load_mem.restype = ctypes.POINTER(Scene) - export2blob.restype = ctypes.POINTER(ExportDataBlob) - return (library_path, load, load_mem, export, export2blob, release, dll) - -def search_library(): - ''' - Loads the assimp library. - Throws exception AssimpError if no library_path is found - - Returns: tuple, (load from filename function, - load from memory function, - export to filename function, - export to blob function, - release function, - dll) - ''' - #this path - folder = os.path.dirname(__file__) - - # silence 'DLL not found' message boxes on win - try: - ctypes.windll.kernel32.SetErrorMode(0x8007) - except AttributeError: - pass - - candidates = [] - # test every file - for curfolder in [folder]+additional_dirs: - if os.path.isdir(curfolder): - for filename in os.listdir(curfolder): - # our minimum requirement for candidates is that - # they should contain 'assimp' somewhere in - # their name - if filename.lower().find('assimp')==-1 : - continue - is_out=1 - for et in ext_whitelist: - if et in filename.lower(): - is_out=0 - break - if is_out: - continue - - library_path = os.path.join(curfolder, filename) - logger.debug('Try ' + library_path) - try: - dll = ctypes.cdll.LoadLibrary(library_path) - except Exception as e: - logger.warning(str(e)) - # OK, this except is evil. But different OSs will throw different - # errors. So just ignore any errors. - continue - # see if the functions we need are in the dll - loaded = try_load_functions(library_path, dll) - if loaded: candidates.append(loaded) - - if not candidates: - # no library found - raise AssimpError("assimp library not found") - else: - # get the newest library_path - candidates = map(lambda x: (os.lstat(x[0])[-2], x), candidates) - res = max(candidates, key=operator.itemgetter(0))[1] - logger.debug('Using assimp library located at ' + res[0]) - - # XXX: if there are 1000 dll/so files containing 'assimp' - # in their name, do we have all of them in our address - # space now until gc kicks in? - - # XXX: take version postfix of the .so on linux? - return res[1:] - -def hasattr_silent(object, name): - """ - Calls hasttr() with the given parameters and preserves the legacy (pre-Python 3.2) - functionality of silently catching exceptions. - - Returns the result of hasatter() or False if an exception was raised. - """ - - try: - if not object: - return False - return hasattr(object, name) - except AttributeError: - return False |