1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
|
#-*- 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
|
