-
Notifications
You must be signed in to change notification settings - Fork 105
/
io_import_photoscan_cameras.py
executable file
·1156 lines (946 loc) · 43.1 KB
/
io_import_photoscan_cameras.py
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
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
# ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software Foundation,
# Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# ##### END GPL LICENSE BLOCK #####
# Copyright (c) 2023 Jakub Uhlik
bl_info = {"name": "Import Agisoft PhotoScan Cameras (.xml)",
"description": "",
"author": "Jakub Uhlik",
"version": (0, 1, 3),
"blender": (2, 80, 0),
"location": "Properties > Scene > Import Agisoft PhotoScan Cameras",
"warning": "work in progress",
"wiki_url": "",
"tracker_url": "",
"category": "Import-Export", }
import os
import sys
import math
import xml.etree.ElementTree as etree
import bpy
import bmesh
from mathutils import Matrix, Vector
from bpy.props import PointerProperty, BoolProperty, StringProperty, FloatProperty, EnumProperty
from bpy.types import Operator, Panel, PropertyGroup
from bpy_extras.io_utils import axis_conversion
from bl_ui.properties_scene import SceneButtonsPanel
PHOTOSCAN_VERSION_COMPATIBILITY = [(1, 4, 0), (1, 5, 0)]
CHECK_VERSION = True
DEBUG = False
def log(msg, indent=0, ):
m = "{0}> {1}".format(" " * indent, msg)
if(DEBUG):
print(m)
'''
class Progress():
def __init__(self, total, indent=0, prefix="> ", ):
self.current = 0
self.percent = -1
self.last = -1
self.total = total
self.prefix = prefix
self.indent = indent
self.t = " "
self.r = "\r"
self.n = "\n"
def step(self, numdone=1):
self.current += numdone
self.percent = int(self.current / (self.total / 100))
if(self.percent > self.last):
sys.stdout.write(self.r)
sys.stdout.write("{0}{1}{2}%".format(self.t * self.indent, self.prefix, self.percent))
self.last = self.percent
if(self.percent >= 100 or self.total == self.current):
sys.stdout.write(self.r)
sys.stdout.write("{0}{1}{2}%{3}".format(self.t * self.indent, self.prefix, 100, self.n))
'''
def add_object(name, data, ):
so = bpy.context.scene.objects
for i in so:
i.select_set(False)
o = bpy.data.objects.new(name, data)
context = bpy.context
view_layer = context.view_layer
collection = view_layer.active_layer_collection.collection
collection.objects.link(o)
o.select_set(True)
view_layer.objects.active = o
return o
def get_space3dview():
for a in bpy.context.screen.areas:
if(a.type == "VIEW_3D"):
return a.spaces[0]
return None
def activate_object(obj):
bpy.ops.object.select_all(action='DESELECT')
context = bpy.context
view_layer = context.view_layer
obj.select_set(True)
view_layer.objects.active = obj
def switch_view_to_camera():
s3dv = get_space3dview()
if(s3dv is not None):
if(s3dv.region_3d.view_perspective != 'CAMERA'):
s3dv.region_3d.view_perspective = 'CAMERA'
def camera_list(scene):
r = []
for o in scene.objects:
if(o.type == 'CAMERA'):
r.append(o)
r.sort(key=lambda c: c.name)
return r
'''
def show_background_image(name):
s3dv = get_space3dview()
if(s3dv is not None):
s3dv.show_background_images = True
for im in s3dv.background_images:
imnm = im.image.name.split(".")[0]
if(imnm == name):
im.show_background_image = True
else:
im.show_background_image = False
'''
def switch_orientation(camera):
render = bpy.context.scene.render
x = render.resolution_x
y = render.resolution_y
if(x > y and camera.data.sensor_fit == 'VERTICAL'):
render.resolution_x = y
render.resolution_y = x
if(x < y and camera.data.sensor_fit == 'HORIZONTAL'):
render.resolution_x = y
render.resolution_y = x
class PSCVersionException(Exception):
pass
class PSCSensor():
def __init__(self, xml):
self.id = int(xml.attrib["id"])
self.label = xml.attrib["label"]
self.type = xml.attrib["type"]
res = xml.find("resolution")
self.resolution = {'width': int(res.attrib["width"]), 'height': int(res.attrib["height"]), }
props = xml.findall("property")
self.props = {}
for p in props:
n = p.attrib["name"]
v = p.attrib["value"]
if(n == "pixel_width"):
self.props[n] = float(v)
elif(n == "pixel_height"):
self.props[n] = float(v)
elif(n == "focal_length"):
self.props[n] = float(v)
elif(n == "fixed"):
self.props[n] = v
elif(n == "layer_index"):
self.props[n] = v
else:
log("PSCSensorData: unknown property name: {0} with value: {1}".format(n, v), 0, )
self.calibration = {}
cals = xml.findall("calibration")
cal = None
for c in cals:
# there can be also calibration element with class="initial" attribute
# this is when sensor is precalibrated.. if it is so, then use adjusted values
if(c.attrib["class"] == "adjusted"):
cal = c
if(cal is None):
# skip it and hope for the best
self.calibration['type'] = None
self.calibration['class'] = None
self.calibration['resolution'] = {'width': self.props['pixel_width'], 'height': self.props['pixel_height'], }
self.calibration['f'] = self.props['focal_length']
self.calibration['cx'] = 0.0
self.calibration['cy'] = 0.0
else:
self.calibration['type'] = cal.attrib["type"]
self.calibration['class'] = cal.attrib["class"]
cres = cal.find("resolution")
self.calibration['resolution'] = {'width': int(cres.attrib["width"]), 'height': int(cres.attrib["height"]), }
# self.calibration['fx'] = float(cal.find("fx").text)
# self.calibration['fy'] = float(cal.find("fy").text)
self.calibration['f'] = float(cal.find("f").text)
try:
self.calibration['cx'] = float(cal.find("cx").text)
self.calibration['cy'] = float(cal.find("cy").text)
except:
self.calibration['cx'] = 0.0
self.calibration['cy'] = 0.0
# self.calibration['k1'] = float(cal.find("k1").text)
# self.calibration['k2'] = float(cal.find("k2").text)
# self.calibration['k3'] = float(cal.find("k3").text)
if('pixel_width' not in self.props):
self.props['pixel_width'] = self.calibration['resolution']['width']
self.props['pixel_height'] = self.calibration['resolution']['height']
self.props['focal_length'] = self.calibration['f']
sw = 0
sh = 0
ver = 0
if(ver == 0):
# sensor w/h: resolution * single pixel size
sw = self.props['pixel_width'] * self.calibration['resolution']['width']
sh = self.props['pixel_height'] * self.calibration['resolution']['height']
self.orientation = "HORIZONTAL"
if(sw < sh):
self.orientation = "VERTICAL"
self.calibrated_sensor_width = sw
self.calibrated_sensor_height = sh
elif(ver == 1):
# # principal point (image center) position * pixel size * 2
# cx = self.calibration['cx'] * self.props['pixel_width'] * 2
# cy = self.calibration['cy'] * self.props['pixel_height'] * 2
# self.orientation = "HORIZONTAL"
# if(cx < cy):
# self.orientation = "VERTICAL"
# self.calibrated_sensor_width = cx
# self.calibrated_sensor_height = cy
pass
else:
class SillyException(Exception):
pass
raise SillyException("choose one")
# average fx and fy, average pw and ph
# fx = self.calibration['fx']
# fy = self.calibration['fy']
f = self.calibration['f']
pw = self.props['pixel_width']
ph = self.props['pixel_height']
self.calibrated_focal_length = f * ((pw + ph) / 2)
self.principal_point_x = self.calibration['cx'] * self.props['pixel_width']
self.principal_point_y = self.calibration['cy'] * self.props['pixel_height']
shift_x = ((self.calibrated_sensor_width / 2) - self.principal_point_x)
shift_y = ((self.calibrated_sensor_height / 2) - self.principal_point_y)
self.shift_x_mm = shift_x
self.shift_y_mm = shift_y
# make it normalized, shift_x: 1 in blender camera is positive horizontal offset: 1 * sensor_width, negative would be shift_x: -1
# formula from teoplib.maths.map: vmin2 + (vmax2 - vmin2) * ((v - vmin1) / (vmax1 - vmin1))
shift_x = shift_x / self.calibrated_sensor_width
shift_y = shift_y / self.calibrated_sensor_height
# | <-| |-> <-<-| |->->
# * -x -y * -x +y * +x +y * +x +y
# . x y . x -y . -x y . -x -y
# +-------o-------+ +-------+ +-------+ +---------------+
# | * | | | | | | . |
# | + | | . | | * | | + |
# | . | o + | | + o | * |
# +---------------+ | * | | . | +-------o-------+
# | | | |
# +-------+ +-------+
# i think there is no way how to correctly determine this. i just assume that when shooting horizontally i am holding camera in viewer up position,
# when vertically i rotate camera to left, viewer is on left. it would be possible to get in from image metadata but, when i rotate image
# and develop like that, it will have orientation value: "Horizontal (normal)", that's Fun! how cool is that! but i have to check it with raw files
# maybe it is camera 'feature', not having orientation sensor..
# so, the result is:
# width > height = horizontal
# height > width = vertical
# horizontal cx, cy = +,+ = shift_x, shift_y = -,-
# vertical cx, cy = +,+ = shift_x, shift_y = +,-
# we'll see if this is going to work..
sign_x = 1
if(self.principal_point_x < self.calibrated_sensor_width / 2):
sign_x = -1
if(self.orientation == 'VERTICAL'):
# see above..
sign_x = 1
sign_y = 1
if(self.principal_point_y < self.calibrated_sensor_height / 2):
sign_y = -1
self.shift_x = shift_x * sign_x
self.shift_y = shift_y * sign_y
self.real_megapixels = self.calibration['resolution']['width'] * self.calibration['resolution']['height'] / 1e6
self._xml = xml
class PSCCamera():
def __init__(self, xml, sensor):
self.id = int(xml.attrib["id"])
self.label = xml.attrib["label"]
self.sensor_id = int(xml.attrib["sensor_id"])
# if(xml.attrib["enabled"] == "true"):
# self.enabled = True
# else:
# self.enabled = False
self.enabled = True
self.resolution = {"width": sensor.resolution['width'], "height": sensor.resolution['height'], }
try:
t = xml.find("transform").text
l = t.split(" ")
v = []
for i in range(len(l)):
v.append(float(l[i]))
m = []
i = 0
while(i < 16):
m.append(tuple([v[i], v[i + 1], v[i + 2], v[i + 3]]))
i += 4
matrix = Matrix((m[0], m[1], m[2], m[3]))
self.transform = t
except Exception as e:
matrix = Matrix()
self.transform = None
self.enabled = False
conversion_matrix = axis_conversion(from_forward='Z', from_up='-Y', to_forward='-Z', to_up='Y').to_4x4()
# self.matrix = matrix * conversion_matrix
self.matrix = matrix @ conversion_matrix
self._xml = xml
class PSCChunk():
def __init__(self, xml, id):
self.xml = xml
self.id = id
self.sensors = []
self.cameras = []
sens = self.xml.findall(".//sensor")
for s in sens:
try:
sd = PSCSensor(s)
except:
sd = None
self.sensors.append(sd)
self.cameras = []
cams = self.xml.findall(".//camera")
for c in cams:
sensor = self.sensors[int(c.attrib["sensor_id"])]
if(sensor is None):
# TODO: unparsed sensor, skip that, deal with that later somehow.. at least notify user
continue
cam = PSCCamera(c, sensor)
self.cameras.append(cam)
self.region = {}
reg = self.xml.find(".//region")
c = reg.find("center").text.split(" ")
cf = [float(v) for v in c]
self.region['center'] = cf
s = reg.find("size").text.split(" ")
sf = [float(v) for v in s]
self.region['size'] = sf
r = reg.find("R").text.split(" ")
rf = [float(v) for v in r]
m = []
i = 0
while(i < 9):
m.append(tuple([rf[i], rf[i + 1], rf[i + 2]]))
i += 3
matrix = Matrix((m[0], m[1], m[2]))
conversion_matrix = axis_conversion(from_forward='Z', from_up='-Y', to_forward='-Z', to_up='Y').to_3x3()
matrix = matrix @ conversion_matrix
self.region['R'] = matrix
class PSCMakeCameras():
def __init__(self, xml_path, matrix, camera_draw_size=0.5, planes=False, chunk_regions=True, correct_principal_point=False, ):
self.xml_path = os.path.realpath(xml_path)
self.matrix = matrix
self.planes = planes
self.camera_draw_size = camera_draw_size
self.chunk_regions = chunk_regions
self.correct_principal_point = correct_principal_point
self._make()
def _make(self):
log("PSCMakeCameras:", 0)
log("loading and parsing xml from: {0}".format(self.xml_path), 1)
self._load_parse_xml()
self.cameras = []
for i, ch in enumerate(self.chunks):
log("creating chunk '{0}' ({1}/{2})".format(ch.id, i + 1, len(self.chunks)), 1)
empty = add_object(ch.id, None)
if(self.planes):
log("creating cameras: (planes: {0})".format(self.planes), 2)
else:
log("creating cameras:", 2)
camera_objects = self._create_cameras(ch.cameras, ch.sensors, empty)
self.cameras.extend(camera_objects)
if(self.chunk_regions):
log("creating region..", 2)
region = self._create_region(ch.id, ch.region, empty)
log("setting parameters..", 2)
ch.empty = empty
ch.camera_objects = camera_objects
if(self.chunk_regions):
ch.region_object = region
empty.matrix_world = self.matrix
def _load_parse_xml(self):
self._tree = etree.parse(self.xml_path)
self.chunks = []
chunks = self._tree.findall(".//chunk")
for i, chunk in enumerate(chunks):
ch = PSCChunk(chunk, "chunk-{0}".format(i))
self.chunks.append(ch)
def _create_cameras(self, cameras, sensors, empty):
# calculate camera draw size from matrix to get real size in viewport
l, r, s = self.matrix.decompose()
ms = Matrix.Scale(s.x, 4)
l = Vector((self.camera_draw_size, 0, 0))
v = ms.inverted() @ l
ds = v.x
self.camera_draw_size_relative = ds
# prgr = Progress(len(cameras), 3)
camera_objects = []
for c in cameras:
cnm = str(c.label).split(".")[0]
bc = bpy.data.cameras.new(cnm)
bc.import_photoscan_cameras.include = True
# bc.import_photoscan_cameras.image = c.label
bco = add_object(cnm, bc)
bco.show_name = True
bc.lens_unit = 'MILLIMETERS'
current_sensor = sensors[c.sensor_id]
bc.lens = current_sensor.calibrated_focal_length
bc.sensor_fit = current_sensor.orientation
bc.show_name = True
bc.sensor_width = current_sensor.calibrated_sensor_width
bc.sensor_height = current_sensor.calibrated_sensor_height
if(self.correct_principal_point):
bc.shift_x = current_sensor.shift_x
bc.shift_y = current_sensor.shift_y
bc.display_size = self.camera_draw_size_relative
if(self.planes):
self._set_render_params(sensors[c.sensor_id])
# how blender camera is drawn: when draw_size is 1.0, longer side of frame is 1 unit, how far from origin depends on focal length
# the distance is then calculated as: (draw_size / 2) / math.tan(camera.angle / 2)
camera_frame_distance = ((bc.display_size / 2) / math.tan(bc.angle / 2)) * 2
# lets add a bit to it
plane_distance = camera_frame_distance * 1.25
ch = plane_distance * math.tan(bc.angle_y / 2)
cv = plane_distance * math.tan(bc.angle_x / 2)
# 3-------------2
# | |
# | * |
# | |
# 0-------------1
va = Vector((-cv, -ch, -plane_distance))
vb = Vector((cv, -ch, -plane_distance))
vc = Vector((cv, ch, -plane_distance))
vd = Vector((-cv, ch, -plane_distance))
verts = [va, vb, vc, vd]
pnm = "{0}_image_plane".format(cnm)
me = bpy.data.meshes.new(pnm)
me.from_pydata(verts, [], [(0, 1, 2, 3)])
uvnm = "UVMap"
# me.uv_textures.new(uvnm)
me.uv_layers.new(name=uvnm)
loops = me.uv_layers[0].data
loops[0].uv = Vector((0.0, 0.0))
loops[1].uv = Vector((1.0, 0.0))
loops[2].uv = Vector((1.0, 1.0))
loops[3].uv = Vector((0.0, 1.0))
meo = add_object(pnm, me)
meo.parent = bco
else:
self._set_render_params(sensors[cameras[0].sensor_id])
bco.matrix_world = c.matrix
bco.parent = empty
camera_objects.append(bco)
# prgr.step()
return camera_objects
def _set_render_params(self, sensor):
render = bpy.context.scene.render
render.resolution_x = sensor.calibration['resolution']['width']
render.resolution_y = sensor.calibration['resolution']['height']
render.resolution_percentage = 100
def _create_region(self, id, region, empty):
center = region["center"]
size = region["size"]
r = region["R"]
# 1 unit cube
l = 1.0 / 2
dv = [(+l, +l, -l),
(+l, -l, -l),
(-l, -l, -l),
(-l, +l, -l),
(+l, +l, +l),
(+l, -l, +l),
(-l, -l, +l),
(-l, +l, +l), ]
df = [(0, 1, 2, 3),
(4, 7, 6, 5),
(0, 4, 5, 1),
(1, 5, 6, 2),
(2, 6, 7, 3),
(4, 0, 3, 7), ]
me = bpy.data.meshes.new("{0}_region".format(id))
me.from_pydata(dv, [], df)
conversion_matrix = axis_conversion(from_forward='Z', from_up='-Y', to_forward='-Z', to_up='Y').to_4x4()
o = add_object("{0}_region".format(id), me)
mt = Matrix.Translation(Vector(center)).to_4x4()
mr = Matrix(r.to_4x4() @ conversion_matrix).inverted()
ms = Matrix(((size[0], 0, 0), (0, size[1], 0), (0, 0, size[2]), )).to_4x4()
m = mt @ mr @ ms
o.matrix_world = m
o.parent = empty
o.display_type = 'WIRE'
# delete faces, why are they even created? because i am lazy
me = o.data
bm = bmesh.new()
bm.from_mesh(me)
for f in bm.faces:
f.select_set(True)
# DEL_ONLYFACES > context=3
# bmesh.ops.delete(bm, geom=bm.faces, context='FACES', )
bmesh.ops.delete(bm, geom=bm.faces, context='FACES_ONLY', )
o.data = bm.to_mesh(me)
return o
class PSCXMLImport():
def __init__(self, xml_path, matrix, camera_draw_size=0.5, load_images=True, images_directory=None, image_extension=".jpg", background_images=True, image_planes=False, chunk_regions=True, correct_principal_point=False, version_check=True, ):
if(xml_path is not None):
if(type(xml_path) is str):
if(xml_path != ""):
if(os.path.exists(xml_path)):
self.xml_path = os.path.realpath(xml_path)
def check_extension(check_path, check_ext, ):
if(check_ext.startswith(".") is False):
check_ext = ".{0}".format(check_ext)
head, tail = os.path.split(check_path)
name, ext = os.path.splitext(tail)
if(ext == check_ext):
return True
return False
if(check_extension(self.xml_path, ".xml") is False):
log("{}: WARNING: does not seem to be a .xml file ({})".format(self.__class__.__name__, self.xml_path), 1, )
else:
raise ValueError("{}: file at xml_path does not exist".format(self.__class__.__name__))
else:
raise ValueError("{}: xml_path is an empty string".format(self.__class__.__name__))
else:
raise TypeError("{}: xml_path is not a string".format(self.__class__.__name__))
else:
raise TypeError("{}: xml_path is None".format(self.__class__.__name__))
if(matrix is not None):
if(type(matrix) is Matrix):
self.matrix = matrix
else:
raise TypeError("{}: matrix is not a Matrix".format(self.__class__.__name__))
else:
raise TypeError("{}: matrix is None".format(self.__class__.__name__))
if(camera_draw_size is not None):
if(type(camera_draw_size) is float):
if(camera_draw_size > 0):
self.camera_draw_size = camera_draw_size
else:
raise ValueError("{}: camera_draw_size is zero or negative".format(self.__class__.__name__))
else:
raise TypeError("{}: camera_draw_size is not a float".format(self.__class__.__name__))
else:
raise TypeError("{}: camera_draw_size is None".format(self.__class__.__name__))
if(type(load_images) is bool):
self.load_images = load_images
else:
raise TypeError("{}: load_images is not a bool".format(self.__class__.__name__))
if(self.load_images):
if(images_directory is not None):
if(type(images_directory) is str):
if(images_directory != ""):
if(os.path.exists(images_directory)):
if(os.path.isdir(images_directory)):
self.images_directory = images_directory
else:
raise ValueError("{}: images_directory is not a directory".format(self.__class__.__name__))
else:
raise ValueError("{}: images_directory does not exist".format(self.__class__.__name__))
else:
raise ValueError("{}: images_directory is an empty string".format(self.__class__.__name__))
else:
raise TypeError("{}: images_directory is not a string".format(self.__class__.__name__))
else:
raise TypeError("{}: images_directory is None".format(self.__class__.__name__))
if(image_extension is not None):
if(type(image_extension) is str):
if(image_extension != ""):
if(not image_extension.startswith(".")):
image_extension = ".{0}".format(image_extension)
self.image_extension = image_extension.lower()
else:
raise ValueError("{}: image_extension is an empty string".format(self.__class__.__name__))
else:
raise TypeError("{}: image_extension is not a string".format(self.__class__.__name__))
else:
raise TypeError("{}: image_extension is None".format(self.__class__.__name__))
if(type(background_images) is bool):
self.background_images = background_images
else:
raise TypeError("{}: background_images is not a bool".format(self.__class__.__name__))
if(type(image_planes) is bool):
self.image_planes = image_planes
else:
raise TypeError("{}: image_planes is not a bool".format(self.__class__.__name__))
else:
self.images_directory = None
self.background_images = False
self.image_planes = False
if(type(chunk_regions) is bool):
self.chunk_regions = chunk_regions
else:
raise TypeError("{}: chunk_regions is not a bool".format(self.__class__.__name__))
if(type(correct_principal_point) is bool):
self.correct_principal_point = correct_principal_point
else:
raise TypeError("{}: correct_principal_point is not a bool".format(self.__class__.__name__))
if(type(version_check) is bool):
self.version_check = version_check
else:
raise TypeError("{}: version_check is not a bool".format(self.__class__.__name__))
self._make()
def _make(self):
log("{}:".format(self.__class__.__name__), 0)
# version check
self._tree = etree.parse(self.xml_path)
if(self.version_check):
root = self._tree.getroot()
ver_str = root.attrib["version"]
ver_split = ver_str.split(".")
ver = tuple(int(i) for i in ver_split)
if(ver not in PHOTOSCAN_VERSION_COMPATIBILITY):
raise PSCVersionException("{}: incompatible xml version: ({})".format(self.__class__.__name__, ver))
else:
log("checking file version: {0}: {1}".format(ver, "ok"))
# make cameras
do_planes = False
if(self.load_images and self.image_planes):
do_planes = True
self.psc = PSCMakeCameras(self.xml_path, self.matrix, self.camera_draw_size, do_planes, self.chunk_regions, self.correct_principal_point, )
# images
if(self.load_images):
def walk_dir(p):
r = {"files": [],
"dirs": [], }
for (root, dirs, files) in os.walk(p):
r["files"].extend(files)
r["dirs"].extend(dirs)
break
return r
files = walk_dir(self.images_directory)['files']
fls = []
for f in files:
if(os.path.splitext(f)[1].lower() == self.image_extension):
fls.append(f)
files = fls
self.images = []
cam_names = [c.name.split(".")[0] for c in bpy.data.cameras]
redundant_images_log = []
for f in files:
fnm = os.path.splitext(f)[0]
if(fnm in cam_names):
fi = cam_names.index(fnm)
cam_names = cam_names[:fi] + cam_names[fi + 1:]
else:
redundant_images_log.append(f)
continue
# load image
p = os.path.join(self.images_directory, f)
im = bpy.data.images.load(p)
self.images.append(im)
# any camera without an image?
missing_images_log = []
if(len(cam_names) != 0):
for cnm in cam_names:
missing_images_log.append(cnm)
# set background images
if(self.background_images):
# cam_names = [c.name.split(".")[0] for c in bpy.data.cameras]
cam_names = [c.name.split(".")[0] for c in bpy.data.cameras]
# # set images as viewport background images, but turn off visibility
# s3dv = get_space3dview()
# s3dv.show_background_images = True
# for cn in cam_names:
# cd = bpy.data.cameras[cn]
# # if(cn in [i.name for i in self.images]):
# cd.show_background_images = True
# bi = cd.background_images.new()
# bi.image = self.images[cn]
# bi.draw_depth = 'FRONT'
for im in self.images:
nm = im.name.split(".")[0]
cam = bpy.data.cameras.get(nm)
if(cam is not None):
cam.show_background_images = True
bi = cam.background_images.new()
bi.image = im
bi.display_depth = 'FRONT'
# for im in self.images:
# bim = s3dv.background_images.new()
# bim.view_axis = 'CAMERA'
# bim.show_background_image = False
# bim.show_expanded = False
# # image not shown from the start
# bim.show_background_image = False
# bim.draw_depth = 'FRONT'
# bim.image = im
# make image planes
if(self.image_planes):
# planes are already created, just assign images to uvs
for o in bpy.data.objects:
if(o.type == 'CAMERA'):
if(len(o.children) == 1):
if(o.children[0].name.endswith("_image_plane")):
me = o.children[0].data
uvf = me.uv_textures["UVMap"].data[0]
im = None
for img in self.images:
if(img.name.split(".")[0] == o.name):
im = img
break
uvf.image = im
# activate last chunk empty
activate_object(self.psc.chunks[-1].empty)
class PSC_import_properties(PropertyGroup):
xml_path: StringProperty(name="Cameras XML", default="", subtype='FILE_PATH', description="Path to Agisoft PhotoScan cameras xml file", )
camera_draw_size: FloatProperty(name="Camera Display Size", description="Size of imported cameras in viewport", default=0.25, precision=3, )
load_images: BoolProperty(name="Load Camera Images", default=True, description="Load camera images", )
images_directory: StringProperty(name="Images Directory", default="", subtype='DIR_PATH', description="Path to images directory", )
image_extension: EnumProperty(name="Image Extension", items=[('TIFF', "TIFF (*.tif)", ""),
('TIFF2', "TIFF (*.tiff)", ""),
('JPEG', "JPEG (*.jpg)", ""),
('JPEG2', "JPEG (*.jpeg)", ""),
('PNG', "PNG (*.png)", ""),
('BMP', "BMP (*.bmp)", ""),
('OPENEXR', "OpenEXR (*.exr)", ""),
('TARGA', "TARGA (*.tga)", "")], default='TIFF', description="", )
background_images: BoolProperty(name="Assign Images to Cameras", default=True, description="Assign images to cameras", )
background_image_alpha: FloatProperty(name="Alpha", description="", default=0.5, precision=3, min=0.0, max=1.0, subtype='PERCENTAGE', )
background_image_depth: EnumProperty(name="Depth", items=[('BACK', "Back", ""), ('FRONT', "Front", ""), ], default='FRONT', description="", )
image_planes: BoolProperty(name="Create Image Planes", default=False, description="Create mesh planes in front of cameras and assign images to them", )
chunk_regions: BoolProperty(name="Create Chunk Region Borders", default=True, description="Create mesh at borders of chunk region", )
align_to_active: BoolProperty(name="Align to Active Object", default=False, description="Copy transformation from active object", )
@classmethod
def register(cls):
bpy.types.Scene.import_photoscan_cameras = PointerProperty(type=cls)
@classmethod
def unregister(cls):
del bpy.types.Scene.import_photoscan_cameras
class PSC_camera_properties(PropertyGroup):
include: BoolProperty(name="Include", default=False, options={'HIDDEN'}, )
image: StringProperty(name="Image", default="", options={'HIDDEN'}, )
@classmethod
def register(cls):
bpy.types.Camera.import_photoscan_cameras = PointerProperty(type=cls)
@classmethod
def unregister(cls):
del bpy.types.Camera.import_photoscan_cameras
class PSC_OT_import(Operator):
bl_idname = "import_scene.photoscan_cameras"
bl_label = "Agisoft PhotoScan Cameras (.xml)"
bl_description = ""
bl_options = {'UNDO', }
@classmethod
def poll(cls, context):
ps = bpy.context.scene.import_photoscan_cameras
return (ps and ps.xml_path != '')
def execute(self, context):
m = Matrix()
ps = bpy.context.scene.import_photoscan_cameras
if(ps.align_to_active):
ao = context.view_layer.objects.active
if(ao is not None):
m = ao.matrix_world.copy()
ed = {'TIFF': ".tiff", 'TIFF2': ".tif", 'JPEG': ".jpg", 'JPEG2': ".jpeg", 'PNG': ".png", 'BMP': ".bmp", 'OPENEXR': ".exr", 'TARGA': ".tga", }
e = ed[ps.image_extension]
d = {'xml_path': os.path.realpath(bpy.path.abspath(ps.xml_path)),
'matrix': m,
'camera_draw_size': ps.camera_draw_size,
'load_images': ps.load_images,
'images_directory': os.path.realpath(bpy.path.abspath(ps.images_directory)),
'image_extension': e,
'background_images': ps.background_images,
# 'image_planes': ps.image_planes,
'image_planes': False,
'chunk_regions': ps.chunk_regions,
'correct_principal_point': False,
'version_check': CHECK_VERSION, }
o = PSCXMLImport(**d)
return {'FINISHED'}
'''
class PSC_OT_align_cameras_to_mesh(Operator):
bl_idname = "import_scene.photoscan_cameras_align"
bl_label = "Align Cameras to Mesh"
bl_description = "Align cameras to active mesh. First select chunk cameras empty object holder, then mesh. World matrix will be copied to cameras empty with corrected axes."
bl_options = {'UNDO', }
@classmethod
def poll(cls, context):
obs = [o for o in context.scene.objects if o.select_get()]
if(len(obs) != 2):
return False
o = context.active_object
c = [i for i in obs if i is not o][0]
return (o and o.type == 'MESH' and o in obs and c and c.type == 'EMPTY')
def execute(self, context):
obs = [o for o in context.scene.objects if o.select_get()]
o = context.active_object
c = [i for i in obs if i is not o][0]
m = o.matrix_world.copy()
c.matrix_world = m
return {'FINISHED'}
'''
class PSC_OT_next_camera(Operator):
bl_idname = "import_scene.photoscan_cameras_next"
bl_label = "Next Camera"
@classmethod
def poll(cls, context):
cams = camera_list(context.scene)
if(len(cams) > 1):
return True
return False
def execute(self, context):
ao = context.active_object
mode = ao.mode
bpy.ops.object.mode_set(mode='OBJECT')
cams = camera_list(context.scene)
current = context.scene.camera
found = False
for i, c in enumerate(cams):
if(c == current):
found = True
break
if(found):
if(i == len(cams) - 1):
i = 0
else:
i += 1
else:
i = 0
# print(cams[i].data.import_photoscan_cameras.include)
# print(cams[i].data.import_photoscan_cameras.image)
activate_object(cams[i])
context.scene.camera = cams[i]
switch_orientation(cams[i])
# show_background_image(cams[i].name)
switch_view_to_camera()
activate_object(ao)
bpy.ops.object.mode_set(mode=mode)
return {'FINISHED'}
class PSC_OT_prev_camera(Operator):
bl_idname = "import_scene.photoscan_cameras_prev"
bl_label = "Previous Camera"
@classmethod
def poll(cls, context):