omni_calib_data.xml 65 KB
Newer Older
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
<?xml version="1.0"?>
<opencv_storage>
<objectPoints>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"3d"</dt>
    <data>
      0. 0. 0. 2.0000000000000001e-001 0. 0. 4.0000000000000002e-001 0.
      0. 6.0000000000000009e-001 0. 0. 8.0000000000000004e-001 0. 0. 1.
      0. 0. 0. 2.0000000000000001e-001 0. 2.0000000000000001e-001
      2.0000000000000001e-001 0. 4.0000000000000002e-001
      2.0000000000000001e-001 0. 6.0000000000000009e-001
      2.0000000000000001e-001 0. 8.0000000000000004e-001
      2.0000000000000001e-001 0. 1. 2.0000000000000001e-001 0. 0.
      4.0000000000000002e-001 0. 2.0000000000000001e-001
      4.0000000000000002e-001 0. 4.0000000000000002e-001
      4.0000000000000002e-001 0. 6.0000000000000009e-001
      4.0000000000000002e-001 0. 8.0000000000000004e-001
      4.0000000000000002e-001 0. 1. 4.0000000000000002e-001 0. 0.
      6.0000000000000009e-001 0. 2.0000000000000001e-001
      6.0000000000000009e-001 0. 4.0000000000000002e-001
      6.0000000000000009e-001 0. 6.0000000000000009e-001
      6.0000000000000009e-001 0. 8.0000000000000004e-001
      6.0000000000000009e-001 0. 1. 6.0000000000000009e-001 0. 0.
      8.0000000000000004e-001 0. 2.0000000000000001e-001
      8.0000000000000004e-001 0. 4.0000000000000002e-001
      8.0000000000000004e-001 0. 6.0000000000000009e-001
      8.0000000000000004e-001 0. 8.0000000000000004e-001
      8.0000000000000004e-001 0. 1. 8.0000000000000004e-001 0. 0. 1. 0.
      2.0000000000000001e-001 1. 0. 4.0000000000000002e-001 1. 0.
      6.0000000000000009e-001 1. 0. 8.0000000000000004e-001 1. 0. 1. 1.
      0. 0. 1.2000000000000002e+000 0. 2.0000000000000001e-001
      1.2000000000000002e+000 0. 4.0000000000000002e-001
      1.2000000000000002e+000 0. 6.0000000000000009e-001
      1.2000000000000002e+000 0. 8.0000000000000004e-001
      1.2000000000000002e+000 0. 1. 1.2000000000000002e+000 0. 0.
      1.4000000000000001e+000 0. 2.0000000000000001e-001
      1.4000000000000001e+000 0. 4.0000000000000002e-001
      1.4000000000000001e+000 0. 6.0000000000000009e-001
      1.4000000000000001e+000 0. 8.0000000000000004e-001
      1.4000000000000001e+000 0. 1. 1.4000000000000001e+000 0. 0.
      1.6000000000000001e+000 0. 2.0000000000000001e-001
      1.6000000000000001e+000 0. 4.0000000000000002e-001
      1.6000000000000001e+000 0. 6.0000000000000009e-001
      1.6000000000000001e+000 0. 8.0000000000000004e-001
      1.6000000000000001e+000 0. 1. 1.6000000000000001e+000 0.</data></_></objectPoints>
<imagePoints>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      6.75490112e+002 2.58054169e+002 6.56950867e+002 2.73248138e+002
      6.36838318e+002 2.90432434e+002 6.16385193e+002 3.13483246e+002
      5.91500000e+002 337. 569. 359. 6.61358582e+002 2.31272415e+002
      6.40136780e+002 2.45905136e+002 6.18555176e+002 2.64595276e+002
      5.92727356e+002 2.85703613e+002 5.65221863e+002 3.12442780e+002
      5.42423889e+002 3.41452393e+002 6.43457520e+002 2.03086868e+002
      6.21402466e+002 2.17740417e+002 5.93600830e+002 2.37447601e+002
      5.65232788e+002 2.59174164e+002 5.37838196e+002 2.84915863e+002
      5.12503052e+002 3.16757507e+002 6.24005432e+002 1.74736618e+002
      5.97496338e+002 1.88732834e+002 5.67288635e+002 2.07220291e+002
      5.38015198e+002 2.30461014e+002 5.07095947e+002 2.58994263e+002
      4.77491852e+002 2.92051727e+002 6.01037720e+002 1.46273209e+002
      5.73469177e+002 1.59748337e+002 5.40935669e+002 1.77509201e+002
      5.06503784e+002 2.02032761e+002 4.74068848e+002 2.32182053e+002
      4.42500122e+002 2.66570831e+002 5.77138550e+002 1.19448029e+002
      5.45628052e+002 1.32241302e+002 5.11336334e+002 1.50559265e+002
      4.76117249e+002 1.75316269e+002 4.40502075e+002 2.05725952e+002
      4.07965607e+002 2.41970963e+002 5.51863831e+002 9.43849182e+001
      5.18395569e+002 1.07406387e+002 4.82542755e+002 1.26161377e+002
      4.44942627e+002 1.51338882e+002 4.08494537e+002 1.82473099e+002
      3.74957062e+002 2.19434235e+002 5.26199463e+002 7.13332672e+001
      4.90725861e+002 8.47979507e+001 4.54244202e+002 1.03585014e+002
      4.15386475e+002 1.29469131e+002 3.77955872e+002 1.61422897e+002
      3.44593353e+002 1.99354340e+002 5.00305573e+002 4.98030853e+001
      4.63683289e+002 6.37438354e+001 4.25043182e+002 8.33283768e+001
      3.87471771e+002 1.09548264e+002 3.49389191e+002 1.41874283e+002
      3.16625092e+002 1.79468613e+002</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      7.84090210e+002 3.88017731e+002 7.58447571e+002 3.71531097e+002
      7.31788330e+002 3.55191376e+002 7.01500000e+002 341. 674. 329.
      6.47506470e+002 3.17759216e+002 8.03502258e+002 3.63574219e+002
      7.75521851e+002 3.44961121e+002 746. 328. 715. 3.12500000e+002
      6.84290955e+002 3.00195953e+002 655. 289. 8.23624084e+002
      3.35837616e+002 7.93792664e+002 3.16025818e+002 7.60739319e+002
      2.97872772e+002 7.29195923e+002 2.81551361e+002 6.95991028e+002
      2.68595581e+002 6.64197266e+002 2.57892395e+002 8.43718933e+002
      3.07062378e+002 8.12469604e+002 2.84912384e+002 7.79037659e+002
      2.66707306e+002 7.41777527e+002 2.49394852e+002 7.07556702e+002
      2.34234406e+002 6.72774292e+002 2.27675980e+002 8.61286499e+002
      2.75579224e+002 8.30026917e+002 2.53900146e+002 7.93825806e+002
      2.32928696e+002 7.57441345e+002 2.16481247e+002 7.20349548e+002
      2.02759094e+002 6.83531921e+002 1.94480438e+002 8.79620789e+002
      2.44113449e+002 8.46151184e+002 2.20349777e+002 8.09496887e+002
      2.00622604e+002 7.70929443e+002 1.82847610e+002 7.30988708e+002
      1.70821991e+002 6.93835693e+002 1.63439514e+002 8.94767029e+002
      2.13258896e+002 8.60505676e+002 1.89982834e+002 8.22427734e+002
      1.68008087e+002 7.82129700e+002 1.51629501e+002 7.41957092e+002
      1.40314484e+002 7.03475403e+002 1.33016800e+002 9.08190430e+002
      1.83071915e+002 8.72554749e+002 1.58984772e+002 8.33662354e+002
      1.38905655e+002 7.93456970e+002 1.22534683e+002 7.52483276e+002
      1.12002495e+002 7.12622009e+002 1.05611115e+002 9.20126831e+002
      1.53868591e+002 8.83432190e+002 1.30497757e+002 8.43475952e+002
      1.10962593e+002 8.02609802e+002 9.46659164e+001 7.62433105e+002
      8.44985809e+001 7.22421509e+002 7.95673294e+001</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      7.92344788e+002 1.23433441e+002 7.83113831e+002 1.56123978e+002
      7.73464417e+002 1.87453384e+002 7.63411438e+002 2.17998337e+002
      7.53567810e+002 2.45984650e+002 7.44753601e+002 2.71632080e+002
      7.60217590e+002 1.08415695e+002 7.52620911e+002 1.42628448e+002
      7.44526428e+002 1.76912338e+002 7.35988892e+002 2.09661407e+002
      7.28117737e+002 2.39632019e+002 7.19922302e+002 2.67545227e+002
      7.22557617e+002 9.39710464e+001 7.16941467e+002 1.30629669e+002
      7.10926208e+002 1.67611130e+002 7.04934631e+002 2.02370895e+002
      6.98490540e+002 2.34473831e+002 6.93224060e+002 2.63872314e+002
      6.80145203e+002 8.36722336e+001 6.76818970e+002 1.22316780e+002
      6.73215637e+002 1.60653091e+002 6.70026489e+002 1.97099380e+002
      6.66568665e+002 2.31376785e+002 6.62879944e+002 2.62516785e+002
      6.32677307e+002 7.81240692e+001 6.32470459e+002 1.17437523e+002
      6.32117493e+002 1.57589417e+002 6.32748596e+002 1.95813293e+002
      6.30779907e+002 2.31080444e+002 6.31525696e+002 2.61573303e+002
      5.83167114e+002 7.81999664e+001 5.86345337e+002 1.18803757e+002
      5.89284363e+002 1.58127457e+002 5.92464355e+002 1.96512299e+002
      5.95569031e+002 2.31983124e+002 599. 2.63500000e+002
      5.34004700e+002 8.45869598e+001 5.39235229e+002 1.25196678e+002
      5.46483337e+002 1.64360748e+002 5.52699951e+002 2.01743942e+002
      5.59695923e+002 2.36428940e+002 5.66886475e+002 2.66694885e+002
      4.87107574e+002 9.68924789e+001 4.96528351e+002 1.36307755e+002
      5.05490631e+002 1.73577209e+002 5.15388550e+002 2.10275955e+002
      5.25177612e+002 2.43547882e+002 5.34730652e+002 2.73751343e+002
      4.44378540e+002 1.13022438e+002 4.55947266e+002 1.51598907e+002
      4.68412659e+002 1.86861725e+002 4.80615326e+002 2.21379471e+002
      4.92385834e+002 2.51911041e+002 5.05001953e+002 2.81006958e+002</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      4.81378052e+002 3.22624115e+002 4.80406860e+002 3.48465851e+002
      4.79837738e+002 3.75912994e+002 4.81462616e+002 4.04819092e+002
      4.83980530e+002 4.33634308e+002 4.87793243e+002 4.60171875e+002
      4.54013733e+002 3.18167145e+002 4.51625885e+002 3.45765320e+002
      4.50526794e+002 3.75426971e+002 4.51838287e+002 4.06206909e+002
      4.53470581e+002 4.38935760e+002 4.58468933e+002 4.69474152e+002
      4.23284729e+002 3.13804901e+002 4.19377289e+002 3.43510986e+002
      4.17511902e+002 3.76080963e+002 4.18134125e+002 4.09680328e+002
      4.21365753e+002 4.44091339e+002 4.26660858e+002 4.77992554e+002
      3.89624908e+002 3.10471985e+002 3.84562958e+002 3.42330597e+002
      3.81837799e+002 3.76874817e+002 3.82294586e+002 4.13676239e+002
      3.85513824e+002 4.50580383e+002 3.92000275e+002 4.87093964e+002
      3.53710693e+002 3.08246033e+002 3.47404022e+002 3.42408508e+002
      3.44254639e+002 3.79191742e+002 3.43830841e+002 4.18523499e+002
      3.48014771e+002 4.58329376e+002 3.55914246e+002 4.96030151e+002
      3.17335358e+002 3.06980377e+002 3.09772308e+002 3.42725769e+002
      3.05612762e+002 3.82554993e+002 3.05464905e+002 4.24428253e+002
      3.09292694e+002 4.66695251e+002 3.18388306e+002 5.07142700e+002
      2.80019928e+002 3.07089233e+002 2.71911407e+002 3.44642975e+002
      2.66643463e+002 3.86568085e+002 2.65566803e+002 4.30820862e+002
      2.70939453e+002 4.74563324e+002 2.81078247e+002 5.16716125e+002
      2.40957367e+002 3.08758362e+002 2.31442734e+002 3.48210541e+002
      2.27068802e+002 3.91975769e+002 2.25384995e+002 4.37844238e+002
      2.31651993e+002 4.83715027e+002 2.42571533e+002 5.28483398e+002
      2.02110733e+002 3.09812042e+002 1.94327621e+002 3.51957764e+002
      1.87146088e+002 3.98251556e+002 1.87980118e+002 4.44944000e+002
      1.91585983e+002 4.91924042e+002 2.04436539e+002 5.38972961e+002</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      2.98078094e+002 2.37883362e+002 3.35515320e+002 2.48331757e+002
      3.71690491e+002 2.59992523e+002 4.05996399e+002 2.71813202e+002
      4.38327240e+002 2.84377747e+002 4.67610535e+002 2.96125549e+002
      2.76246307e+002 2.72641418e+002 3.17697021e+002 2.81506042e+002
      3.55573639e+002 2.91446899e+002 3.93156860e+002 3.01325012e+002
      4.27950684e+002 3.12004181e+002 4.59678680e+002 3.22413574e+002
      2.56363251e+002 3.13856415e+002 2.99295868e+002 3.21094360e+002
      3.40440948e+002 3.28280487e+002 3.80945679e+002 3.35933075e+002
      4.18308960e+002 3.43917114e+002 4.52452362e+002 3.51947723e+002
      2.39919037e+002 3.61791626e+002 2.85563354e+002 3.65437958e+002
      3.28859955e+002 3.69890686e+002 3.70934082e+002 3.74754761e+002
      4.11297394e+002 3.79269104e+002 4.46561798e+002 3.84470093e+002
      2.29331482e+002 4.13949615e+002 2.76502441e+002 4.14469330e+002
      3.21892761e+002 4.15404633e+002 3.65014740e+002 4.16746887e+002
      4.05875916e+002 4.18226929e+002 4.42373169e+002 4.19298706e+002
      2.25439499e+002 4.66823242e+002 2.73527618e+002 4.65384979e+002
      3.19782501e+002 4.63428619e+002 3.62731781e+002 4.60680084e+002
      4.04263794e+002 4.57940735e+002 4.40636688e+002 4.55776001e+002
      2.30218567e+002 5.20786621e+002 2.77071594e+002 5.14983215e+002
      3.23104034e+002 5.08725159e+002 3.65094299e+002 5.03015442e+002
      4.05360077e+002 4.97127014e+002 4.41966370e+002 4.91036346e+002
      2.40612778e+002 5.70426086e+002 2.85953003e+002 5.62237854e+002
      3.30600311e+002 5.52684509e+002 3.71975464e+002 5.42622925e+002
      4.09923431e+002 5.33989502e+002 4.44944977e+002 5.25030884e+002
      2.55944458e+002 6.14003845e+002 2.99916656e+002 6.03268311e+002
      3.41513885e+002 5.91473389e+002 3.80401947e+002 5.79480225e+002
      4.16935638e+002 5.67436584e+002 4.50069733e+002 5.56018372e+002</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      3.50848297e+002 7.14228760e+002 3.39568451e+002 6.80527710e+002
      3.31520844e+002 6.47583862e+002 3.25584290e+002 6.16500488e+002
      3.22707947e+002 5.87258911e+002 3.21184540e+002 5.60773315e+002
      3.77261963e+002 7.01518982e+002 3.65311646e+002 6.68576538e+002
      3.55806183e+002 6.36336304e+002 3.49578125e+002 6.06026062e+002
      3.45301941e+002 5.77650146e+002 3.42621765e+002 5.51476318e+002
      4.04504059e+002 6.87412781e+002 3.91320770e+002 6.55220886e+002
      3.80983765e+002 6.24722473e+002 3.73301453e+002 5.95179749e+002
      3.68130768e+002 5.67810120e+002 3.65298218e+002 5.42442078e+002
      4.31546967e+002 6.72458313e+002 4.17646942e+002 6.42048096e+002
      4.06438263e+002 6.12466675e+002 3.98071136e+002 5.83806885e+002
      3.92286835e+002 5.57391174e+002 3.88171814e+002 5.32996887e+002
      4.58466370e+002 6.56727600e+002 4.44212433e+002 6.27420959e+002
      4.32595306e+002 5.99160889e+002 4.23473755e+002 5.71937195e+002
      4.16379791e+002 5.47057983e+002 4.11460785e+002 5.23456848e+002
      4.85465790e+002 6.40406189e+002 4.70502625e+002 6.12528503e+002
      4.58568359e+002 5.85643738e+002 4.48552917e+002 5.59496521e+002
      4.39335297e+002 5.35315491e+002 4.35449188e+002 5.11826019e+002
      5.11575684e+002 6.23271973e+002 4.96589050e+002 5.97307983e+002
      4.83748962e+002 5.71929810e+002 4.74580475e+002 5.48551331e+002
      4.64500000e+002 5.25500000e+002 4.57500000e+002 504.
      5.36280518e+002 6.06423767e+002 5.21435181e+002 5.81569031e+002
      5.08335693e+002 5.58358887e+002 4.96972076e+002 5.35987671e+002
      4.87500000e+002 515. 480. 4.95500000e+002 5.58491699e+002
      5.88809082e+002 5.44518311e+002 5.66903748e+002 5.31299805e+002
      5.45354065e+002 5.19564819e+002 5.24556335e+002 5.09763062e+002
      5.04446228e+002 4.99442291e+002 4.86084625e+002</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      8.81713440e+002 3.86197113e+002 9.17583252e+002 4.03987152e+002
      9.53123840e+002 4.25079559e+002 9.87299316e+002 4.48395782e+002
      1.01957056e+003 4.71871674e+002 1.05150195e+003 4.96505127e+002
      8.70195496e+002 4.18432007e+002 9.06274963e+002 4.37890503e+002
      9.40723938e+002 4.60578949e+002 9.75081177e+002 4.86557098e+002
      1.00749420e+003 5.12476074e+002 1.03804028e+003 5.39053772e+002
      8.52960571e+002 4.51070099e+002 8.88932251e+002 4.74545105e+002
      9.23249329e+002 5.00817688e+002 9.57479492e+002 5.26468933e+002
      9.88569580e+002 5.54295715e+002 1.01776630e+003 5.80369690e+002
      833. 4.85500000e+002 8.68537170e+002 5.11270020e+002
      9.01563538e+002 5.37908203e+002 9.33960876e+002 5.67073425e+002
      9.63848145e+002 5.94500244e+002 9.92547302e+002 6.23060425e+002
      8.09514282e+002 5.19066772e+002 8.41934021e+002 5.47015015e+002
      8.74326538e+002 5.76352844e+002 9.05180908e+002 6.05454163e+002
      9.33955200e+002 6.33015564e+002 9.61550537e+002 6.60031067e+002
      7.83425110e+002 5.48695862e+002 8.13460266e+002 5.79241699e+002
      8.43861572e+002 6.08925354e+002 8.73789917e+002 6.38604370e+002
      9.00273804e+002 6.66994873e+002 926. 691. 7.55429077e+002
      5.78604431e+002 7.84420837e+002 6.06109802e+002 8.11835876e+002
      6.36899536e+002 8.39316772e+002 6.66466309e+002 8.65523132e+002
      6.94579712e+002 887. 721. 7.31811340e+002 6.02392456e+002
      7.56072571e+002 6.29946777e+002 7.80895203e+002 6.59628906e+002
      8.05592163e+002 6.88606934e+002 8.30125122e+002 7.16589966e+002
      8.53550293e+002 7.42749756e+002 7.06514648e+002 6.19389526e+002
      7.29003296e+002 6.47576904e+002 7.52428772e+002 6.77560120e+002
      7.73979187e+002 7.05406006e+002 7.96596558e+002 7.32817749e+002
      8.19155334e+002 7.58741821e+002</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      9.62623657e+002 1.43474075e+002 9.87476990e+002 1.86780289e+002
      1.00622748e+003 2.27544540e+002 1.01850989e+003 2.68001343e+002
      1.02580457e+003 3.05497681e+002 1.02905554e+003 3.40061096e+002
      9.39946655e+002 1.60036179e+002 9.65124207e+002 2.02795746e+002
      9.82815247e+002 2.44572601e+002 9.95420349e+002 2.84801941e+002
      1.00243457e+003 3.22694733e+002 1.00672827e+003 3.55448639e+002
      9.13736206e+002 1.78822800e+002 9.39209473e+002 2.21480820e+002
      9.58125244e+002 2.62399445e+002 9.70636292e+002 3.02435455e+002
      9.78465759e+002 3.38327209e+002 9.82429932e+002 3.70877167e+002
      8.85564148e+002 1.99267883e+002 9.12097656e+002 2.40570816e+002
      9.31139771e+002 2.81464874e+002 9.44167786e+002 3.20086060e+002
      9.52656250e+002 3.55026093e+002 9.57049866e+002 3.86803772e+002
      8.54976013e+002 2.21390503e+002 8.81532410e+002 2.62056274e+002
      9.01685364e+002 3.01690674e+002 9.15212036e+002 3.39471344e+002
      9.24049683e+002 3.71807831e+002 9.30585632e+002 4.01065582e+002
      8.22988953e+002 2.45276154e+002 8.49244141e+002 2.84704559e+002
      8.69523010e+002 3.22591766e+002 8.84555115e+002 3.57831940e+002
      8.93988586e+002 3.89629944e+002 9.01408630e+002 4.16973846e+002
      7.90107666e+002 2.72643127e+002 8.14884399e+002 3.09990326e+002
      8.36442383e+002 3.43821808e+002 8.52355164e+002 3.76016418e+002
      8.63413513e+002 4.05272797e+002 8.71420044e+002 4.30495575e+002
      7.55500000e+002 2.99500000e+002 7.83207214e+002 3.32013153e+002
      8.02516418e+002 3.64541840e+002 8.20689148e+002 3.95600006e+002
      8.30940125e+002 4.21514069e+002 8.41085144e+002 4.42547974e+002
      7.23500000e+002 3.25500000e+002 7.49073181e+002 3.55019714e+002
      7.68561096e+002 3.82762939e+002 7.88711731e+002 4.10029236e+002
      8.00077393e+002 4.34538788e+002 8.13500000e+002 455.</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      1.02610925e+003 5.69419373e+002 1018. 6.08500000e+002
      1.00757269e+003 6.50474792e+002 9.90500000e+002 690.
      9.69713196e+002 7.28559875e+002 945. 760. 9.96910217e+002
      5.55883240e+002 9.88487000e+002 5.95331909e+002 9.74262878e+002
      6.34519043e+002 9.59772949e+002 6.74763550e+002 9.40404785e+002
      7.11471130e+002 9.15623962e+002 7.47316528e+002 9.66300659e+002
      5.43581970e+002 9.58032898e+002 5.81726501e+002 9.45526917e+002
      6.19927490e+002 9.29846252e+002 6.57364746e+002 9.07986694e+002
      6.93463928e+002 8.85528625e+002 7.26559448e+002 9.36298889e+002
      5.31255432e+002 9.27100647e+002 5.67005432e+002 9.14340454e+002
      6.04617249e+002 8.97536072e+002 6.41583191e+002 8.77466370e+002
      6.75493286e+002 8.55136047e+002 7.06785339e+002 9.05193909e+002
      5.19209595e+002 8.96645874e+002 5.53356995e+002 8.81072083e+002
      5.87715820e+002 8.66478516e+002 6.23560242e+002 8.47192688e+002
      6.56474304e+002 8.25451843e+002 6.86781494e+002 8.74048035e+002
      5.06574799e+002 8.63423889e+002 5.38618835e+002 8.52353210e+002
      5.72285339e+002 8.35347961e+002 6.05874939e+002 8.17006592e+002
      6.37074524e+002 7.96157104e+002 6.66649353e+002 8.43320862e+002
      4.94560669e+002 8.31992737e+002 5.26001587e+002 8.20451355e+002
      5.58649658e+002 8.04538635e+002 5.88254333e+002 7.86978882e+002
      6.16805054e+002 7.68332642e+002 6.44677917e+002 8.13489441e+002
      4.84499451e+002 8.03744141e+002 5.13451721e+002 7.89310547e+002
      5.41404175e+002 7.76207275e+002 5.71436951e+002 7.59780945e+002
      5.98410828e+002 7.42307495e+002 6.24391235e+002 7.86433960e+002
      4.74941956e+002 776. 5.00500000e+002 7.62905396e+002
      5.25627258e+002 7.48652344e+002 5.54555420e+002 7.34200806e+002
      5.79552063e+002 7.18498901e+002 6.04499268e+002</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      9.81431458e+002 1.50723282e+002 1.01354156e+003 1.89045822e+002
      1.03995068e+003 2.30531693e+002 1057. 272. 1073. 322.
      1.08372375e+003 3.59986786e+002 9.53933044e+002 1.70431076e+002
      9.85864075e+002 2.09328415e+002 1.01058606e+003 2.48266327e+002
      1.03053076e+003 2.91816650e+002 1.04453125e+003 3.33481750e+002
      1.05310962e+003 3.73423157e+002 9.26057983e+002 1.91534622e+002
      9.55485291e+002 2.28094772e+002 9.79567627e+002 2.67866821e+002
      9.99413330e+002 3.09235443e+002 1.01355310e+003 3.50008392e+002
      1.02151367e+003 3.88853394e+002 8.96944275e+002 2.13524841e+002
      9.25470215e+002 2.48956131e+002 9.49139709e+002 2.87351990e+002
      9.67360901e+002 3.26701294e+002 9.81027039e+002 3.65454712e+002
      9.89696350e+002 4.02052551e+002 8.67878784e+002 2.35145157e+002
      8.93921936e+002 2.69948578e+002 9.17444458e+002 3.06666321e+002
      9.35262207e+002 3.44310059e+002 9.49273499e+002 3.80840088e+002
      9.57196228e+002 4.15376526e+002 8.37211060e+002 2.57732269e+002
      8.63078918e+002 2.90968628e+002 8.84456726e+002 3.25454163e+002
      9.02282166e+002 3.60872833e+002 9.15394653e+002 3.95404449e+002
      9.25000916e+002 4.27231750e+002 8.07257935e+002 2.80493073e+002
      8.31424500e+002 3.11445557e+002 8.52416260e+002 3.43626923e+002
      8.69502930e+002 3.76587524e+002 8.83034119e+002 4.08043854e+002
      8.92384033e+002 4.37808990e+002 7.79647278e+002 3.02607025e+002
      8.01500000e+002 331. 8.21078003e+002 3.61130402e+002
      8.36605713e+002 3.90487549e+002 8.50583069e+002 4.20562988e+002
      8.61375000e+002 4.47132935e+002 7.53991333e+002 3.22964294e+002
      7.74386963e+002 3.48028870e+002 7.92334412e+002 3.76588531e+002
      8.08500000e+002 4.03500000e+002 8.21683960e+002 4.30331360e+002
      8.32711182e+002 4.55293457e+002</data></_>
  <_ type_id="opencv-matrix">
    <rows>54</rows>
    <cols>1</cols>
    <dt>"2f"</dt>
    <data>
      943. 665. 9.16278015e+002 6.53599182e+002 8.89926086e+002
      6.39973694e+002 8.63574951e+002 6.26499451e+002 8.37769043e+002
      6.12583801e+002 8.12686646e+002 5.98407715e+002 9.62436462e+002
      6.41479614e+002 9.34012207e+002 6.28588379e+002 9.06015320e+002
      6.16000183e+002 8.78138000e+002 6.02532837e+002 8.50593689e+002
      5.89413879e+002 8.23956055e+002 5.75843201e+002 9.79901611e+002
      6.12453613e+002 9.50447876e+002 5.99915649e+002 9.21525208e+002
      5.87731018e+002 892. 5.75562622e+002 8.62920715e+002
      5.62961060e+002 8.34826538e+002 5.50825378e+002 9.96176331e+002
      5.78932007e+002 9.65559021e+002 5.67786194e+002 9.34909790e+002
      5.56707581e+002 9.04852844e+002 5.45350830e+002 8.74290710e+002
      5.34053772e+002 8.44917908e+002 5.23278564e+002 1.00932385e+003
For faster browsing, not all history is shown. View entire blame