Files
Fishing2/Assets/ResRaw/gfx/res/Mesh/carp_s_fin.002.asset
2026-02-20 21:03:17 +08:00

2130 lines
73 KiB
Plaintext

%YAML 1.1
%TAG !u! tag:unity3d.com,2011:
--- !u!43 &4300000
Mesh:
serializedVersion: 11
m_ObjectHideFlags: 0
m_CorrespondingSourceObject: {fileID: 0}
m_PrefabInstance: {fileID: 0}
m_PrefabAsset: {fileID: 0}
m_Name: carp_s_fin.002
m_SubMeshes:
- serializedVersion: 2
firstByte: 0
indexCount: 744
topology: 0
baseVertex: 0
firstVertex: 0
vertexCount: 154
localAABB:
m_Center: {x: -0.105980046, y: 0.22853336, z: -0.04780993}
m_Extent: {x: 0.06557203, y: 0.041263342, z: 0.0020379126}
m_Shapes:
vertices: []
shapes: []
channels: []
fullWeights: []
m_BindPose:
- e00: 1
e01: -0
e02: -0
e03: 2.31504E-09
e10: -0
e11: 1.6292068E-07
e12: 1
e13: -0.06167714
e20: -0
e21: -1
e22: 1.6292068E-07
e23: 0.12171442
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 1.6009925E-07
e01: -0.9994589
e02: 0.032893453
e03: 0.11997792
e10: -0.044928096
e11: 0.03286023
e12: 0.9984497
e13: -0.06466666
e20: -0.9989903
e21: -0.0014780001
e22: -0.04490378
e23: 0.0029083118
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -6.265076E-08
e01: -0.9994589
e02: 0.03289367
e03: 0.15465069
e10: -0.044928033
e11: 0.032860454
e12: 0.9984497
e13: -0.06489198
e20: -0.99899036
e21: -0.0014777852
e22: -0.044903725
e23: 0.002908277
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -2.0376554E-07
e01: -0.9994589
e02: 0.0328937
e03: 0.20465074
e10: -0.04492801
e11: 0.032860495
e12: 0.99844974
e13: -0.06489202
e20: -0.9989904
e21: -0.0014776449
e22: -0.044903707
e23: 0.002908244
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 4.525085E-08
e01: -0.9994589
e02: 0.032893486
e03: 0.25465092
e10: -0.044928007
e11: 0.03286027
e12: 0.99844974
e13: -0.06489196
e20: -0.99899036
e21: -0.001477884
e22: -0.044903696
e23: 0.0029082946
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -3.524444E-08
e01: -0.9994589
e02: 0.032893393
e03: 0.30465063
e10: -0.044928044
e11: 0.032860182
e12: 0.9984497
e13: -0.06489196
e20: -0.9989903
e21: -0.0014778007
e22: -0.044903737
e23: 0.0029082748
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -2.323176E-08
e01: -0.9994589
e02: 0.032893535
e03: 0.35465056
e10: -0.044928078
e11: 0.03286032
e12: 0.99844974
e13: -0.06489198
e20: -0.9989903
e21: -0.0014778199
e22: -0.044903763
e23: 0.0029082831
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.6563081E-07
e01: -0.9994589
e02: 0.03289366
e03: 0.4046506
e10: -0.044928078
e11: 0.032860458
e12: 0.9984498
e13: -0.064891994
e20: -0.9989904
e21: -0.0014776833
e22: -0.044903766
e23: 0.002908224
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.127795E-07
e01: -0.999459
e02: 0.032893293
e03: 0.45872158
e10: -0.04492811
e11: 0.032860085
e12: 0.99844986
e13: -0.06489182
e20: -0.9989904
e21: -0.0014777206
e22: -0.0449038
e23: 0.0029082366
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.2652264E-07
e01: -0.99945897
e02: 0.032892883
e03: 0.50872135
e10: -0.044928074
e11: 0.032859676
e12: 0.9984498
e13: -0.06489162
e20: -0.99899036
e21: -0.0014776873
e22: -0.044903763
e23: 0.0029082124
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.6062243E-07
e01: -0.999459
e02: 0.032893956
e03: 0.5587214
e10: -0.044928093
e11: 0.03286075
e12: 0.99844986
e13: -0.06489222
e20: -0.9989904
e21: -0.0014777019
e22: -0.04490378
e23: 0.0029082135
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.7288728E-07
e01: -0.9994589
e02: 0.032894477
e03: 0.6087216
e10: -0.044928093
e11: 0.03286127
e12: 0.99844974
e13: -0.0648925
e20: -0.9989903
e21: -0.0014777133
e22: -0.044903785
e23: 0.0029082126
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -9.441762E-08
e01: -0.9994591
e02: 0.032892007
e03: 0.65872186
e10: -0.044928078
e11: 0.0328588
e12: 0.9984499
e13: -0.06489091
e20: -0.9989904
e21: -0.0014776799
e22: -0.044903766
e23: 0.0029081842
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.022253513
e01: -0.91617554
e02: -0.40015927
e03: 0.6356309
e10: -0.02314431
e11: -0.40062317
e12: 0.9159506
e13: 0.20210434
e20: -0.99948454
e21: -0.011121707
e22: -0.03011952
e23: 0.008374185
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.022253703
e01: -0.9161756
e02: -0.40015942
e03: 0.67330915
e10: -0.023144357
e11: -0.40062332
e12: 0.9159506
e13: 0.20210457
e20: -0.9994846
e21: -0.011121858
e22: -0.030119637
e23: 0.008374292
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.022253495
e01: -0.9161746
e02: -0.40016168
e03: 0.71847075
e10: -0.023144305
e11: -0.40062562
e12: 0.9159497
e13: 0.20210642
e20: -0.99948466
e21: -0.011121615
e22: -0.030119536
e23: 0.008374105
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.022253705
e01: -0.9161753
e02: -0.40016034
e03: 0.7639263
e10: -0.023144348
e11: -0.40062428
e12: 0.91595036
e13: 0.2021051
e20: -0.9994846
e21: -0.011121834
e22: -0.030119639
e23: 0.008374289
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.02225388
e01: -0.9161729
e02: -0.4001656
e03: 0.7639255
e10: -0.023144307
e11: -0.40062952
e12: 0.91594803
e13: 0.15665364
e20: -0.99948466
e21: -0.011121839
e22: -0.030119736
e23: 0.008374306
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -4.674779E-08
e01: -0.910971
e02: 0.4124706
e03: 0.5988772
e10: -0.04521591
e11: 0.41204876
e12: 0.91003925
e13: -0.28124213
e20: -0.9989773
e21: -0.01865019
e22: -0.0411904
e23: 0.012729606
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 1.0879874E-07
e01: -0.91085577
e02: 0.41272512
e03: 0.6425456
e10: -0.045215975
e11: 0.41230303
e12: 0.9099242
e13: -0.28142166
e20: -0.99897736
e21: -0.018661864
e22: -0.041185178
e23: 0.012737843
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.3890357E-07
e01: -0.90385544
e02: 0.4278385
e03: 0.68211263
e10: -0.045215886
e11: 0.42740095
e12: 0.90293103
e13: -0.29281116
e20: -0.9989773
e21: -0.019344967
e22: -0.04086867
e23: 0.013253172
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.9985893
e01: -0.0062880875
e02: 0.052727867
e03: 0.0071296976
e10: -0.052418444
e11: 0.04202263
e12: 0.9977407
e13: 0.010064846
e20: -0.008489644
e21: -0.999097
e22: 0.041633736
e23: 0.77648216
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.9985891
e01: -0.006288113
e02: 0.05272796
e03: 0.0071297
e10: -0.05241852
e11: 0.04202424
e12: 0.9977404
e13: -0.026963778
e20: -0.008489758
e21: -0.9990967
e22: 0.041635342
e23: 0.7764812
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -1.371772E-07
e01: -0.92560613
e02: 0.37848857
e03: 0.5219684
e10: -0.04371299
e11: 0.37812677
e12: 0.9247214
e13: -0.18131712
e20: -0.99904436
e21: -0.016544733
e22: -0.04046105
e23: 0.008008973
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -8.459256E-07
e01: -0.9114283
e02: 0.41145927
e03: 0.5299297
e10: -0.04390099
e11: 0.41106257
e12: 0.9105495
e13: -0.20044217
e20: -0.9990359
e21: -0.018062694
e22: -0.040012944
e23: 0.00888327
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.011277139
e01: -0.959214
e02: 0.2824564
e03: 0.5659952
e10: -0.043489594
e11: 0.28267762
e12: 0.95822877
e13: -0.12428425
e20: -0.99899036
e21: -0.0014778359
e22: -0.044903614
e23: -0.0009030956
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.011277365
e01: -0.95921254
e02: 0.2824607
e03: 0.5659949
e10: -0.04348954
e11: 0.28268194
e12: 0.95822746
e13: -0.13799487
e20: -0.9989903
e21: -0.0014778058
e22: -0.04490362
e23: -0.0009031139
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.034890655
e01: -0.65517354
e02: -0.75467247
e03: 0.44966438
e10: -0.028304346
e11: -0.75547713
e12: 0.6545635
e13: 0.35340768
e20: -0.9989903
e21: -0.0014776384
e22: -0.044903345
e23: 0.0057803155
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.03489053
e01: -0.6551726
e02: -0.7546735
e03: 0.47010258
e10: -0.028304318
e11: -0.7554782
e12: 0.65456253
e13: 0.35340828
e20: -0.9989903
e21: -0.0014775147
e22: -0.04490323
e23: 0.005780231
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.03489056
e01: -0.65517336
e02: -0.7546726
e03: 0.4903105
e10: -0.028304294
e11: -0.7554773
e12: 0.6545633
e13: 0.35340807
e20: -0.9989904
e21: -0.0014776044
e22: -0.044903237
e23: 0.0057802745
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.034890722
e01: -0.6551733
e02: -0.75467277
e03: 0.49031022
e10: -0.02830435
e11: -0.7554775
e12: 0.6545633
e13: 0.33320105
e20: -0.9989904
e21: -0.0014776645
e22: -0.044903394
e23: 0.0057803267
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.03489056
e01: 0.65517277
e02: 0.7546736
e03: -0.449664
e10: -0.028304152
e11: 0.7554781
e12: -0.6545625
e13: -0.35340837
e20: -0.99899036
e21: 0.0014776529
e22: 0.04490314
e23: -0.0057803094
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.034890562
e01: 0.65517265
e02: 0.75467366
e03: -0.4496641
e10: -0.028304104
e11: 0.75547814
e12: -0.6545624
e13: -0.41593403
e20: -0.99899036
e21: 0.0014776884
e22: 0.04490311
e23: -0.005780332
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -3.0254793E-07
e01: -0.85856557
e02: 0.5127039
e03: 0.47093737
e10: -0.038981702
e11: 0.5123142
e12: 0.857913
e13: -0.20148213
e20: -0.99924004
e21: -0.019985812
e22: -0.033468504
e23: 0.007859962
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -3.2400027E-07
e01: -0.8785411
e02: 0.47766706
e03: 0.5170345
e10: -0.039037928
e11: 0.47730288
e12: 0.87787133
e13: -0.18079618
e20: -0.99923795
e21: -0.018646847
e22: -0.034296583
e23: 0.007063167
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.022345314
e01: -0.8507332
e02: 0.5251229
e03: 0.5504121
e10: -0.038977046
e11: 0.52559596
e12: 0.84984106
e13: -0.2118468
e20: -0.9989903
e21: -0.001477771
e22: -0.044903662
e23: -0.0040460126
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.022345297
e01: -0.8507325
e02: 0.5251242
e03: 0.5504118
e10: -0.03897706
e11: 0.5255973
e12: 0.8498403
e13: -0.2561615
e20: -0.9989905
e21: -0.001477863
e22: -0.04490367
e23: -0.004045958
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.035193715
e01: -0.6469995
e02: -0.761678
e03: 0.4079373
e10: -0.027926967
e11: -0.7624892
e12: 0.64639825
e13: 0.25834563
e20: -0.99899036
e21: -0.0014778009
e22: -0.044903554
e23: 0.0072427746
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.03519344
e01: -0.647001
e02: -0.76167667
e03: 0.4288585
e10: -0.027926954
e11: -0.76248795
e12: 0.6463998
e13: 0.25834516
e20: -0.9989904
e21: -0.0014777215
e22: -0.04490333
e23: 0.0072426978
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.03519358
e01: -0.6470011
e02: -0.7616766
e03: 0.44881845
e10: -0.027926937
e11: -0.7624878
e12: 0.64639986
e13: 0.25834498
e20: -0.99899036
e21: -0.0014778329
e22: -0.044903427
e23: 0.0072427657
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.035194058
e01: -0.6469994
e02: -0.761678
e03: 0.4488179
e10: -0.02792704
e11: -0.76248926
e12: 0.6463982
e13: 0.23838557
e20: -0.9989903
e21: -0.0014779624
e22: -0.04490386
e23: 0.0072429106
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.03519407
e01: 0.6469996
e02: 0.7616775
e03: -0.4079373
e10: -0.027926909
e11: 0.7624889
e12: -0.6463984
e13: -0.25834545
e20: -0.9989904
e21: 0.001478092
e22: 0.044903796
e23: -0.00724295
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.035193525
e01: 0.6469997
e02: 0.76167744
e03: -0.40793777
e10: -0.02792692
e11: 0.7624887
e12: -0.6463985
e13: -0.3378228
e20: -0.9989905
e21: 0.0014777359
e22: 0.04490339
e23: -0.007242729
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.034370523
e01: -0.66879445
e02: -0.7426528
e03: 0.36064658
e10: -0.028933631
e11: -0.74344605
e12: 0.6681698
e13: 0.15560932
e20: -0.9989904
e21: -0.0014777036
e22: -0.044903275
e23: 0.007901229
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.033020683
e01: -0.7018684
e02: -0.7115412
e03: 0.38803625
e10: -0.030464785
e11: -0.7123055
e12: 0.70120853
e13: 0.13865013
e20: -0.99899054
e21: -0.0014774336
e22: -0.04490307
e23: 0.007901094
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.034370277
e01: -0.6687946
e02: -0.7426525
e03: 0.40104693
e10: -0.028933711
e11: -0.743446
e12: 0.66817015
e13: 0.15702574
e20: -0.99899036
e21: -0.0014775
e22: -0.044903148
e23: 0.007901132
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.034371506
e01: -0.6687899
e02: -0.7426566
e03: 0.40104604
e10: -0.028933745
e11: -0.74345016
e12: 0.66816545
e13: 0.13729976
e20: -0.9989903
e21: -0.001478015
e22: -0.04490409
e23: 0.007901518
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0015425329
e01: -0.6031658
e02: -0.79761434
e03: 0.31854472
e10: -0.02569834
e11: -0.7973281
e12: 0.602999
e13: 0.14344484
e20: -0.99966866
e21: 0.02142751
e22: -0.014270454
e23: -0.0042381966
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -2.6908882E-07
e01: -0.6367667
e02: -0.7710567
e03: 0.36271325
e10: -0.02573751
e11: -0.7708013
e12: 0.63655573
e13: 0.12805086
e20: -0.99966884
e21: 0.01984525
e22: -0.01638858
e23: -0.003296893
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.036846243
e01: -0.5988267
e02: -0.800031
e03: 0.3994146
e10: -0.025707021
e11: -0.8008776
e12: 0.5982765
e13: 0.14767069
e20: -0.9989904
e21: -0.0014778271
e22: -0.044903368
e23: 0.010931792
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.036846273
e01: -0.59882534
e02: -0.8000318
e03: 0.39941436
e10: -0.025707044
e11: -0.80087847
e12: 0.5982752
e13: 0.10412065
e20: -0.99899036
e21: -0.0014777583
e22: -0.04490341
e23: 0.010931773
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.021206316
e01: -0.4045275
e02: 0.91428
e03: 0.23664185
e10: -0.048349407
e11: 0.91383064
e12: 0.4032072
e13: -0.25265706
e20: -0.9986054
e21: -0.035654355
e22: -0.038937643
e23: 0.033281848
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.013441902
e01: -0.53224266
e02: 0.8464854
e03: 0.30543777
e10: -0.050836474
e11: 0.8458306
e12: 0.5310237
e13: -0.21075475
e20: -0.99861676
e21: -0.035894364
e22: -0.038426913
e23: 0.033438466
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.005260541
e01: -0.63181275
e02: 0.7751036
e03: 0.3622273
e10: -0.05553012
e11: 0.7741026
e12: 0.63061994
e13: -0.16750501
e20: -0.99844325
e21: -0.039724186
e22: -0.039156828
e23: 0.034685247
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0052609094
e01: -0.63181263
e02: 0.7751036
e03: 0.39396185
e10: -0.055530094
e11: 0.7741026
e12: 0.63061976
e13: -0.16750482
e20: -0.99844325
e21: -0.03972394
e22: -0.039157096
e23: 0.034685083
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.005260264
e01: -0.6318179
e02: 0.77509934
e03: 0.39396316
e10: -0.055529665
e11: 0.77409846
e12: 0.6306251
e13: -0.19923656
e20: -0.9984433
e21: -0.039723754
e22: -0.039156597
e23: 0.034685098
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.021206474
e01: 0.4045297
e02: -0.914279
e03: -0.23664255
e10: -0.04834904
e11: -0.9138296
e12: -0.40320945
e13: 0.25265643
e20: -0.9986054
e21: 0.03565386
e22: 0.038937725
e23: -0.033281665
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.013442112
e01: 0.53224254
e02: -0.8464853
e03: -0.30543768
e10: -0.050836306
e11: -0.8458307
e12: -0.53102374
e13: 0.21075451
e20: -0.9986167
e21: 0.0358941
e22: 0.038427
e23: -0.033438355
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0052604936
e01: 0.6318128
e02: -0.7751033
e03: -0.36222726
e10: -0.055530176
e11: -0.7741025
e12: -0.6306202
e13: 0.16750477
e20: -0.99844325
e21: 0.03972425
e22: 0.03915684
e23: -0.03468526
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0052602845
e01: 0.63181293
e02: -0.77510315
e03: -0.39396176
e10: -0.05553028
e11: -0.77410233
e12: -0.63062024
e13: 0.16750464
e20: -0.9984431
e21: 0.039724458
e22: 0.03915675
e23: -0.03468534
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.005259646
e01: 0.63181096
e02: -0.7751047
e03: -0.39396146
e10: -0.05552985
e11: -0.7741039
e12: -0.6306184
e13: 0.1357714
e20: -0.99844325
e21: 0.039724622
e22: 0.03915589
e23: -0.0346856
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.95841366
e01: -0.23713821
e02: 0.15877369
e03: 0.10061888
e10: 0.110760204
e11: 0.20365438
e12: 0.97275764
e13: -0.012275514
e20: -0.26301292
e21: 0.9498899
e22: -0.16891964
e23: -0.17172197
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.95841366
e01: -0.23713803
e02: 0.15877327
e03: 0.149904
e10: 0.110759914
e11: 0.20365399
e12: 0.9727577
e13: -0.012275523
e20: -0.26301262
e21: 0.9498897
e22: -0.16891935
e23: -0.17172195
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.95841366
e01: -0.23713794
e02: 0.15877348
e03: 0.18998544
e10: 0.11076
e11: 0.20365454
e12: 0.9727576
e13: -0.012275615
e20: -0.26301268
e21: 0.9498899
e22: -0.16891989
e23: -0.171722
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.95841366
e01: -0.23713812
e02: 0.15877342
e03: 0.22410125
e10: 0.11075997
e11: 0.20365433
e12: 0.9727577
e13: -0.012275542
e20: -0.2630128
e21: 0.94988996
e22: -0.16891965
e23: -0.17172198
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.95841396
e01: -0.23713519
e02: 0.15877593
e03: 0.2241007
e10: 0.11076301
e11: 0.20365432
e12: 0.97275734
e13: -0.04639194
e20: -0.26301035
e21: 0.94989055
e22: -0.16891934
e23: -0.17172259
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.95840466
e01: 0.23714273
e02: -0.15877175
e03: -0.10061924
e10: 0.11075842
e11: -0.20365395
e12: -0.97275764
e13: 0.012275315
e20: -0.26301867
e21: -0.94988716
e22: 0.16891848
e23: 0.17172112
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.9584053
e01: 0.2371394
e02: -0.15877123
e03: -0.14990346
e10: 0.11075858
e11: -0.20365371
e12: -0.9727577
e13: 0.012275229
e20: -0.2630153
e21: -0.949888
e22: 0.16891873
e23: 0.17172132
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.9584046
e01: 0.23714276
e02: -0.15877232
e03: -0.1899853
e10: 0.11075883
e11: -0.20365448
e12: -0.97275746
e13: 0.012275387
e20: -0.26301882
e21: -0.949887
e22: 0.16891885
e23: 0.1717206
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.9584047
e01: 0.23714235
e02: -0.15877202
e03: -0.22410093
e10: 0.11075858
e11: -0.20365457
e12: -0.9727574
e13: 0.012275269
e20: -0.2630184
e21: -0.94988716
e22: 0.16891909
e23: 0.17172033
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.95840573
e01: 0.23713987
e02: -0.15876895
e03: -0.22410026
e10: 0.11075621
e11: -0.20365344
e12: -0.9727578
e13: -0.021841286
e20: -0.2630153
e21: -0.94988793
e22: 0.16891907
e23: 0.17172103
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.026550509
e01: -0.9959643
e02: 0.085733466
e03: 0.114205144
e10: -0.04638203
e11: 0.08444398
e12: 0.9953482
e13: -0.02646249
e20: -0.998571
e21: -0.030403495
e22: -0.04395281
e23: 0.053640276
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.3183538
e01: -0.9478339
e02: 0.016188372
e03: 0.18545318
e10: -0.04492715
e11: 0.03214317
e12: 0.99847317
e13: -0.017165788
e20: -0.946907
e21: 0.3171404
e22: -0.052816372
e23: -0.011220456
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.3183537
e01: -0.9478339
e02: 0.016189188
e03: 0.18545312
e10: -0.044926886
e11: 0.03214393
e12: 0.9984731
e13: -0.07969762
e20: -0.94690686
e21: 0.3171402
e22: -0.05281635
e23: -0.011220439
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0008166576
e01: 0.9998911
e02: -0.014746045
e03: -0.04274069
e10: -0.044920094
e11: 0.014694487
e12: 0.9988828
e13: 0.027727598
e20: 0.99899036
e21: 0.0014781386
e22: 0.04490319
e23: 0.0012118482
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0005751085
e01: 0.99979776
e02: -0.020107942
e03: -0.012944173
e10: -0.044923913
e11: 0.020061819
e12: 0.99878913
e13: 0.02765855
e20: 0.9989903
e21: 0.0014777393
e22: 0.044903275
e23: 0.0012118656
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.0005751098
e01: 0.99979776
e02: -0.020108057
e03: -0.012944173
e10: -0.0449239
e11: 0.020061936
e12: 0.9987892
e13: -0.002286719
e20: 0.99899036
e21: 0.0014777457
e22: 0.044903263
e23: 0.0012118674
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 1.8101103E-07
e01: 0.99847525
e02: 0.055202734
e03: -0.036132023
e10: -0.043922514
e11: -0.055149432
e12: 0.9975114
e13: 0.04153647
e20: 0.9990351
e21: -0.0024248238
e22: 0.043855544
e23: 0.0018261606
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.013079605
e01: 0.9657331
e02: 0.2592083
e03: 0.010043849
e10: -0.042981688
e11: -0.25953373
e12: 0.9647769
e13: 0.040330995
e20: 0.9989904
e21: 0.0014776917
e22: 0.044903442
e23: 0.0018667603
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.013079571
e01: 0.9657331
e02: 0.25920817
e03: 0.010043808
e10: -0.042981673
e11: -0.25953364
e12: 0.96477693
e13: 0.0026663325
e20: 0.9989904
e21: 0.0014776672
e22: 0.04490342
e23: 0.0018667585
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.5014027
e01: -0.6696909
e02: 0.5478223
e03: 0.0127316
e10: -0.80186135
e11: 0.12185495
e12: -0.584953
e13: 0.017014273
e20: 0.3249829
e21: -0.73257476
e22: -0.5980978
e23: -0.009897784
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.50140315
e01: -0.6696908
e02: 0.54782224
e03: 0.029768646
e10: -0.80186075
e11: 0.12185424
e12: -0.5849541
e13: 0.017014246
e20: 0.32498387
e21: -0.73257494
e22: -0.59809685
e23: -0.009897713
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.5014032
e01: -0.6696907
e02: 0.5478223
e03: 0.029768644
e10: -0.80186045
e11: 0.12185375
e12: -0.5849545
e13: -0.0036522765
e20: 0.32498446
e21: -0.7325752
e22: -0.5980965
e23: -0.009897712
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.48773694
e01: -0.37713492
e02: 0.7873259
e03: 0.017420294
e10: -0.86084276
e11: 0.35770404
e12: -0.3619367
e13: 0.021243338
e20: -0.14513068
e21: -0.8542935
e22: -0.49911928
e23: 0.014563851
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.4877366
e01: -0.3771354
e02: 0.7873259
e03: 0.03129937
e10: -0.860843
e11: 0.35770428
e12: -0.36193612
e13: 0.02124333
e20: -0.1451309
e21: -0.8542933
e22: -0.4991197
e23: 0.014563846
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.48773658
e01: -0.37713575
e02: 0.78732574
e03: 0.031299382
e10: -0.860843
e11: 0.3577042
e12: -0.36193603
e13: 0.007364244
e20: -0.14513066
e21: -0.85429305
e22: -0.4991199
e23: 0.01456383
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.12291356
e01: -0.16739766
e02: 0.97819746
e03: 0.02868865
e10: -0.9839231
e11: 0.14924201
e12: -0.09809343
e13: 0.029481005
e20: -0.12956753
e21: -0.974528
e22: -0.18305029
e23: 0.02103457
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.12291324
e01: -0.16739814
e02: 0.97819746
e03: 0.050407123
e10: -0.9839233
e11: 0.1492415
e12: -0.098093145
e13: 0.029481037
e20: -0.12956703
e21: -0.97452813
e22: -0.18305068
e23: 0.021034539
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.12291414
e01: -0.16739748
e02: 0.97819734
e03: 0.050407115
e10: -0.983923
e11: 0.14924258
e12: -0.09809394
e13: 0.0077625373
e20: -0.12956801
e21: -0.974528
e22: -0.18305027
e23: 0.02103457
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.11828761
e01: 0.31633773
e02: 0.94124305
e03: 0.005420421
e10: 0.23082261
e11: -0.9131725
e12: 0.33591154
e13: -0.004749675
e20: 0.96577895
e21: 0.2569944
e22: 0.0349991
e23: -0.00629217
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.7724083
e01: -0.5692888
e02: 0.28159496
e03: 0.0063790753
e10: 0.5188176
e11: -0.30981144
e12: 0.79677165
e13: 0.0036961678
e20: -0.36635178
e21: 0.76152945
e22: 0.53465796
e23: 0.016672032
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.68611544
e01: -0.65504944
e02: 0.31647408
e03: 0.03299963
e10: 0.5930513
e11: -0.25166842
e12: 0.7648221
e13: 0.00027594325
e20: -0.42134985
e21: 0.71244174
e22: 0.56115156
e23: 0.019314317
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6861155
e01: -0.65504926
e02: 0.31647426
e03: 0.032999646
e10: 0.5930513
e11: -0.25166824
e12: 0.7648225
e13: -0.027557194
e20: -0.42134988
e21: 0.71244204
e22: 0.5611514
e23: 0.019314308
e30: 0
e31: 0
e32: 0
e33: 1
- e00: 0.02649679
e01: 0.9959589
e02: -0.085728966
e03: -0.11420724
e10: -0.046647925
e11: -0.08443439
e12: -0.9953369
e13: 0.026448084
e20: -0.9985372
e21: 0.030371826
e22: 0.04422147
e23: -0.053639974
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.31841975
e01: 0.94779325
e02: -0.016184816
e03: -0.18544671
e10: -0.04493972
e11: -0.03214815
e12: -0.998473
e13: 0.017166246
e20: -0.9468703
e21: -0.31720757
e22: 0.0528304
e23: 0.011233249
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.31842917
e01: 0.94779
e02: -0.016187241
e03: -0.18544663
e10: -0.04493913
e11: -0.03215106
e12: -0.9984728
e13: -0.04536489
e20: -0.9468672
e21: -0.31721687
e22: 0.052830935
e23: 0.0112358825
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.5014026
e01: 0.66969115
e02: -0.54782224
e03: -0.012731552
e10: -0.80186003
e11: -0.12185166
e12: 0.5849557
e13: -0.01701425
e20: 0.32498655
e21: 0.73257494
e22: 0.5980952
e23: 0.009897898
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.50140333
e01: 0.66969126
e02: -0.54782176
e03: -0.029768623
e10: -0.80186063
e11: -0.12185434
e12: 0.5849545
e13: -0.017014273
e20: 0.32498434
e21: 0.7325745
e22: 0.59809697
e23: 0.009897725
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.50140357
e01: 0.6696904
e02: -0.54782236
e03: -0.029768635
e10: -0.8018605
e11: -0.12185417
e12: 0.58495456
e13: -0.03768081
e20: 0.3249839
e21: 0.73257524
e22: 0.59809625
e23: 0.009897705
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.487737
e01: 0.37713483
e02: -0.787326
e03: -0.017420268
e10: -0.8608428
e11: -0.35770428
e12: 0.36193666
e13: -0.021243382
e20: -0.14513089
e21: 0.8542935
e22: 0.49911925
e23: -0.014563858
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.4877366
e01: 0.37713483
e02: -0.7873262
e03: -0.031299353
e10: -0.860843
e11: -0.3577042
e12: 0.36193633
e13: -0.021243365
e20: -0.14513102
e21: 0.8542935
e22: 0.49911916
e23: -0.014563851
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.4877375
e01: 0.37713483
e02: -0.7873256
e03: -0.03129939
e10: -0.8608425
e11: -0.35770473
e12: 0.36193702
e13: -0.035122428
e20: -0.14513098
e21: 0.85429335
e22: 0.4991195
e23: -0.014563844
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.1229137
e01: 0.16739726
e02: -0.97819763
e03: -0.028688606
e10: -0.98392326
e11: -0.1492415
e12: 0.09809371
e13: -0.029481038
e20: -0.12956703
e21: 0.9745282
e22: 0.18304986
e23: -0.021034557
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.12291347
e01: 0.1673972
e02: -0.97819763
e03: -0.050407022
e10: -0.98392326
e11: -0.14924175
e12: 0.09809346
e13: -0.029481055
e20: -0.12956731
e21: 0.97452813
e22: 0.18304978
e23: -0.021034574
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.12291287
e01: 0.16739698
e02: -0.9781979
e03: -0.050407004
e10: -0.98392355
e11: -0.1492413
e12: 0.09809296
e13: -0.051199533
e20: -0.129567
e21: 0.9745283
e22: 0.18304941
e23: -0.021034569
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.118288405
e01: -0.31634068
e02: -0.941242
e03: -0.005420468
e10: 0.2308196
e11: 0.9131724
e12: -0.33591455
e13: 0.004749635
e20: 0.96577954
e21: -0.25699183
e22: -0.035000082
e23: 0.0062921857
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.77240914
e01: 0.56928706
e02: -0.2815961
e03: -0.0063790726
e10: 0.5188177
e11: 0.30981168
e12: -0.79677165
e13: -0.0036961024
e20: -0.36635002
e21: -0.7615308
e22: -0.5346576
e23: -0.01667205
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.68611604
e01: 0.6550489
e02: -0.3164741
e03: -0.03299961
e10: 0.593051
e11: 0.25166875
e12: -0.7648225
e13: -0.00027591834
e20: -0.4213495
e21: -0.71244234
e22: -0.56115144
e23: -0.019314323
e30: 0
e31: 0
e32: 0
e33: 1
- e00: -0.6861166
e01: 0.6550482
e02: -0.31647387
e03: -0.032999594
e10: 0.5930504
e11: 0.25166896
e12: -0.7648228
e13: -0.02810911
e20: -0.42134917
e21: -0.71244264
e22: -0.5611509
e23: -0.019314297
e30: 0
e31: 0
e32: 0
e33: 1
m_BoneNameHashes: 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
m_RootBoneNameHash: 1572040346
m_BonesAABB:
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: -0.07097784, y: -0.10580477, z: 0.045124833}
m_Max: {x: -0.040094823, y: -0.10045548, z: 0.084850386}
- m_Min: {x: -0.06657533, y: -0.1058048, z: 0.045124833}
m_Max: {x: 0.012771845, y: -0.09874133, z: 0.11652579}
- m_Min: {x: 0.0017579794, y: -0.105804786, z: 0.04512483}
m_Max: {x: 0.056016028, y: -0.099557154, z: 0.08378881}
- m_Min: {x: 0.051757693, y: -0.10509485, z: 0.05055483}
m_Max: {x: 0.07889584, y: -0.10053935, z: 0.07220884}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: -0.0065607205, y: -0.00832085, z: -0.066797644}
m_Max: {x: 0.12575659, y: 0.013621687, z: 0.020811483}
- m_Min: {x: -0.038648866, y: -0.008320891, z: -0.06679799}
m_Max: {x: 0.07647169, y: 0.011157031, z: 0.020810992}
- m_Min: {x: -0.047198772, y: -0.0083209835, z: -0.066798136}
m_Max: {x: 0.036390543, y: 0.010082807, z: 0.020810992}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
- m_Min: {x: Infinity, y: Infinity, z: Infinity}
m_Max: {x: -Infinity, y: -Infinity, z: -Infinity}
m_VariableBoneCountWeights:
m_Data:
m_MeshCompression: 0
m_IsReadable: 0
m_KeepVertices: 0
m_KeepIndices: 0
m_IndexFormat: 0
m_IndexBuffer: 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
m_VertexData:
serializedVersion: 3
m_VertexCount: 154
m_Channels:
- stream: 0
offset: 0
format: 0
dimension: 3
- stream: 0
offset: 12
format: 0
dimension: 3
- stream: 0
offset: 24
format: 0
dimension: 4
- stream: 1
offset: 0
format: 2
dimension: 4
- stream: 1
offset: 4
format: 1
dimension: 2
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 0
offset: 0
format: 0
dimension: 0
- stream: 2
offset: 0
format: 0
dimension: 4
- stream: 2
offset: 16
format: 10
dimension: 4
m_DataSize: 12320
_typelessdata: 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
m_CompressedMesh:
m_Vertices:
m_NumItems: 0
m_Range: 0
m_Start: 0
m_Data:
m_BitSize: 0
m_UV:
m_NumItems: 0
m_Range: 0
m_Start: 0
m_Data:
m_BitSize: 0
m_Normals:
m_NumItems: 0
m_Range: 0
m_Start: 0
m_Data:
m_BitSize: 0
m_Tangents:
m_NumItems: 0
m_Range: 0
m_Start: 0
m_Data:
m_BitSize: 0
m_Weights:
m_NumItems: 0
m_Data:
m_BitSize: 0
m_NormalSigns:
m_NumItems: 0
m_Data:
m_BitSize: 0
m_TangentSigns:
m_NumItems: 0
m_Data:
m_BitSize: 0
m_FloatColors:
m_NumItems: 0
m_Range: 0
m_Start: 0
m_Data:
m_BitSize: 0
m_BoneIndices:
m_NumItems: 0
m_Data:
m_BitSize: 0
m_Triangles:
m_NumItems: 0
m_Data:
m_BitSize: 0
m_UVInfo: 0
m_LocalAABB:
m_Center: {x: -0.105980046, y: 0.22853336, z: -0.04780993}
m_Extent: {x: 0.06557203, y: 0.041263342, z: 0.0020379126}
m_MeshUsageFlags: 1
m_CookingOptions: 30
m_BakedConvexCollisionMesh:
m_BakedTriangleCollisionMesh:
m_MeshMetrics[0]: 1
m_MeshMetrics[1]: 1
m_MeshOptimizationFlags: -1
m_StreamData:
serializedVersion: 2
offset: 0
size: 0
path: