-
Notifications
You must be signed in to change notification settings - Fork 4
/
indian_plate.xml
774 lines (774 loc) 路 27.4 KB
/
indian_plate.xml
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
<?xml version="1.0"?>
<opencv_storage>
<cascade>
<stageType>BOOST</stageType>
<featureType>LBP</featureType>
<height>13</height>
<width>52</width>
<stageParams>
<boostType>GAB</boostType>
<minHitRate>9.9500000476837158e-01</minHitRate>
<maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
<weightTrimRate>9.4999999999999996e-01</weightTrimRate>
<maxDepth>1</maxDepth>
<maxWeakCount>100</maxWeakCount></stageParams>
<featureParams>
<maxCatCount>256</maxCatCount>
<featSize>1</featSize></featureParams>
<stageNum>12</stageNum>
<stages>
<!-- stage 0 -->
<_>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-1.5821634531021118e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 44 308024693 -428545 2073820639 -52225 -67388417
-140357 -89522241 -1073856515</internalNodes>
<leafValues>
-8.3980286121368408e-01 5.0890344381332397e-01</leafValues></_>
<_>
<internalNodes>
0 -1 43 478420345 -141827 -613384193 -64001 -1153368067
-411143 -1093866499 -1078449672</internalNodes>
<leafValues>
-7.0110827684402466e-01 5.5775439739227295e-01</leafValues></_>
<_>
<internalNodes>
0 -1 18 338691444 2098804125 1024409535 -1082714123
1019050495 -4603461 1067105279 -266257</internalNodes>
<leafValues>
-6.3792645931243896e-01 5.8313608169555664e-01</leafValues></_>
<_>
<internalNodes>
0 -1 51 590090517 -1107315363 1834336255 -1073774625
-1144341569 -37749761 -1145176162 -1080153284</internalNodes>
<leafValues>
-5.8223354816436768e-01 5.9667408466339111e-01</leafValues></_></weakClassifiers></_>
<!-- stage 1 -->
<_>
<maxWeakCount>5</maxWeakCount>
<stageThreshold>-1.9795182943344116e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 9 -270536721 -997470257 -2013050814 -389289649
-271845817 1077993474 -158866681 -134218753</internalNodes>
<leafValues>
-8.0115187168121338e-01 4.5364892482757568e-01</leafValues></_>
<_>
<internalNodes>
0 -1 74 -339744981 -874523861 -1878818814 -1029716521
-1218229757 554402178 -697830654 -201329681</internalNodes>
<leafValues>
-6.3889116048812866e-01 5.5221247673034668e-01</leafValues></_>
<_>
<internalNodes>
0 -1 16 -1572881 -372055538 -127958685 -766614885 -17341969
2072203271 1531153387 49760863</internalNodes>
<leafValues>
-6.5832072496414185e-01 5.0100201368331909e-01</leafValues></_>
<_>
<internalNodes>
0 -1 33 70255901 -32834 -1074003969 -1073924117 -33554433
-655361 -135169 -1073860609</internalNodes>
<leafValues>
-5.1661574840545654e-01 6.4780247211456299e-01</leafValues></_>
<_>
<internalNodes>
0 -1 47 351819221 -755715 -1073872899 2013265917 -16973829
-671746 -229927 -1096282136</internalNodes>
<leafValues>
-5.5564248561859131e-01 5.7492965459823608e-01</leafValues></_></weakClassifiers></_>
<!-- stage 2 -->
<_>
<maxWeakCount>5</maxWeakCount>
<stageThreshold>-2.0048213005065918e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 37 -579281411 -141859 -581043201 -545662499 -302186499
-1470017 -611647489 -1073996552</internalNodes>
<leafValues>
-7.6023739576339722e-01 4.0190881490707397e-01</leafValues></_>
<_>
<internalNodes>
0 -1 41 8389085 -2803461 -1212416513 -40961 -336348161
-1080641 -1147142401 -1141239810</internalNodes>
<leafValues>
-6.7304128408432007e-01 4.2959162592887878e-01</leafValues></_>
<_>
<internalNodes>
0 -1 23 -1174406657 -573761 -1992050373 -1073771586
-537314389 -1074460230 -6574213 181021224</internalNodes>
<leafValues>
-6.2686002254486084e-01 4.6247422695159912e-01</leafValues></_>
<_>
<internalNodes>
0 -1 76 -72614613 -902827109 -493237918 -1563730601
2075120726 1405014685 -9447662 -146821321</internalNodes>
<leafValues>
-5.6248772144317627e-01 4.8325377702713013e-01</leafValues></_>
<_>
<internalNodes>
0 -1 34 473962877 -749120037 -1655590409 -536977969
-1175959555 -1078421463 972566009 -1366685380</internalNodes>
<leafValues>
-4.8482784628868103e-01 5.3586608171463013e-01</leafValues></_></weakClassifiers></_>
<!-- stage 3 -->
<_>
<maxWeakCount>6</maxWeakCount>
<stageThreshold>-1.6881239414215088e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 20 -605031937 -581736673 -213796353 -2390641
-1439717121 -2257749 -1681159761 -1077990870</internalNodes>
<leafValues>
-7.3286467790603638e-01 3.5483869910240173e-01</leafValues></_>
<_>
<internalNodes>
0 -1 24 -8324880 -10585707 -656121857 -10661551 -1718830595
-106353733 -1080129091 -1949693752</internalNodes>
<leafValues>
-5.9217196702957153e-01 4.6253615617752075e-01</leafValues></_>
<_>
<internalNodes>
0 -1 6 -286265749 -298875922 -1986868854 -489693752
2060188431 1646258224 -249567529 -152044817</internalNodes>
<leafValues>
-4.8896503448486328e-01 5.2091324329376221e-01</leafValues></_>
<_>
<internalNodes>
0 -1 45 75500784 2111603675 387259645 1063206869 -1951875077
-324663 2140019391 -1615315475</internalNodes>
<leafValues>
-6.8134146928787231e-01 3.8123682141304016e-01</leafValues></_>
<_>
<internalNodes>
0 -1 15 -537667842 936823012 -762879886 550666714 680352171
394272911 -1021625861 1624760547</internalNodes>
<leafValues>
-6.3300865888595581e-01 3.9577165246009827e-01</leafValues></_>
<_>
<internalNodes>
0 -1 29 6030637 -543706663 -1617437219 -67121131 -5512535
-91821895 -68224513 -1093793613</internalNodes>
<leafValues>
-6.2998151779174805e-01 3.7764960527420044e-01</leafValues></_></weakClassifiers></_>
<!-- stage 4 -->
<_>
<maxWeakCount>6</maxWeakCount>
<stageThreshold>-1.9388419389724731e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 75 -201326837 -955261557 -1018968830 -338701545
-84741625 1917292586 -719068624 -201589257</internalNodes>
<leafValues>
-7.4817961454391479e-01 2.7826941013336182e-01</leafValues></_>
<_>
<internalNodes>
0 -1 10 -271923218 -337893890 -856682924 2058550718
1863060560 1778402655 2029218814 -4456453</internalNodes>
<leafValues>
-6.4382976293563843e-01 3.5757163166999817e-01</leafValues></_>
<_>
<internalNodes>
0 -1 52 1073806812 -14908455 -1311770659 -144870421
-73084932 -340858680 -1347886596 -70721976</internalNodes>
<leafValues>
-6.2845903635025024e-01 3.7706661224365234e-01</leafValues></_>
<_>
<internalNodes>
0 -1 69 -528502 -387186707 942929664 4977111 1369140037
3912810 1542192932 1089468599</internalNodes>
<leafValues>
-7.8141981363296509e-01 2.7090081572532654e-01</leafValues></_>
<_>
<internalNodes>
0 -1 62 -517424904 2078052509 -753127975 -704884716
-1312248900 -1077312372 -1366107208 -1368647756</internalNodes>
<leafValues>
-6.3508522510528564e-01 3.7355837225914001e-01</leafValues></_>
<_>
<internalNodes>
0 -1 19 80479509 -711036422 -686490305 -136353774 -218509569
-55838549 -1215438856 -1611239582</internalNodes>
<leafValues>
-5.6283277273178101e-01 3.9366087317466736e-01</leafValues></_></weakClassifiers></_>
<!-- stage 5 -->
<_>
<maxWeakCount>7</maxWeakCount>
<stageThreshold>-1.1975721120834351e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 7 -272634129 -963657594 -971538330 -824720410
-212870306 1628164179 -569646113 -201589761</internalNodes>
<leafValues>
-7.3248410224914551e-01 2.2834645211696625e-01</leafValues></_>
<_>
<internalNodes>
0 -1 60 537003349 -2172961 -1649149473 -2105889 -1143222597
-70426502 -1629491265 -1342226499</internalNodes>
<leafValues>
-5.9971082210540771e-01 3.7090694904327393e-01</leafValues></_>
<_>
<internalNodes>
0 -1 28 -139484633 633778115 613356034 1893456382 1929513286
7889682 2003218950 -743446533</internalNodes>
<leafValues>
-5.1720756292343140e-01 4.6159994602203369e-01</leafValues></_>
<_>
<internalNodes>
0 -1 50 -67130742 -1025860886 1658376196 1623355567
-226069756 6739978 -970739120 -239079801</internalNodes>
<leafValues>
-4.8045945167541504e-01 4.7559025883674622e-01</leafValues></_>
<_>
<internalNodes>
0 -1 36 1051760 397677560 1439363069 -6605603 -91701527
-1612182821 2139242394 531666169</internalNodes>
<leafValues>
-7.0112109184265137e-01 3.2478842139244080e-01</leafValues></_>
<_>
<internalNodes>
0 -1 30 -710117564 -4275245 -44180227 -11341222 -605965683
-393688694 -18287730 -528234358</internalNodes>
<leafValues>
-5.1906365156173706e-01 4.6794250607490540e-01</leafValues></_>
<_>
<internalNodes>
0 -1 65 -10486120 470573976 809832752 -1625566252 -592709616
450601532 -642780811 -805310601</internalNodes>
<leafValues>
-5.5150657892227173e-01 4.2102628946304321e-01</leafValues></_></weakClassifiers></_>
<!-- stage 6 -->
<_>
<maxWeakCount>8</maxWeakCount>
<stageThreshold>-1.6684050559997559e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 68 -16617 -2100257 -779233793 -576725029 -387253249
-6373185 -17827073 -1025</internalNodes>
<leafValues>
-6.4715272188186646e-01 4.4864866137504578e-01</leafValues></_>
<_>
<internalNodes>
0 -1 8 -268448985 -355843602 -1066677054 -454556850
-1850029733 1739679818 -201854121 -150995969</internalNodes>
<leafValues>
-5.4795455932617188e-01 3.4248238801956177e-01</leafValues></_>
<_>
<internalNodes>
0 -1 35 9703761 -136890384 1528304123 -2153827 914860991
-1168432737 904731819 2067472703</internalNodes>
<leafValues>
-4.9102684855461121e-01 4.1780465841293335e-01</leafValues></_>
<_>
<internalNodes>
0 -1 55 -13242385 -2675729 -715786761 -33556920 -544490497
-34128604 -207635955 2137457152</internalNodes>
<leafValues>
-4.7315219044685364e-01 4.2060080170631409e-01</leafValues></_>
<_>
<internalNodes>
0 -1 70 -409993696 824695020 1216987392 967285123 487053568
38167023 2023952693 1991232809</internalNodes>
<leafValues>
-6.6825598478317261e-01 3.2621189951896667e-01</leafValues></_>
<_>
<internalNodes>
0 -1 49 268703569 -269258498 -246026531 -1075839493
-607667781 -1148620615 -202542753 -1093527172</internalNodes>
<leafValues>
-6.2558317184448242e-01 3.0197361111640930e-01</leafValues></_>
<_>
<internalNodes>
0 -1 27 -115364358 931465351 51456167 1066342839 -124789286
215691467 1807916027 -1198522</internalNodes>
<leafValues>
-4.6513053774833679e-01 4.2068210244178772e-01</leafValues></_>
<_>
<internalNodes>
0 -1 14 2076169716 -2369830 461971472 2095348214 231216624
1598826671 524897276 1543462647</internalNodes>
<leafValues>
-5.3952771425247192e-01 3.6494618654251099e-01</leafValues></_></weakClassifiers></_>
<!-- stage 7 -->
<_>
<maxWeakCount>7</maxWeakCount>
<stageThreshold>-1.3922821283340454e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 3 -356077597 -139013693 -112730657 -3736518 -70254917
-609234449 -626003969 -4105</internalNodes>
<leafValues>
-6.9726443290710449e-01 1.0850439965724945e-01</leafValues></_>
<_>
<internalNodes>
0 -1 21 523263484 -1646465027 -550379553 -126211 -1181166756
-2567752 -356450308 -1082639012</internalNodes>
<leafValues>
-6.4814126491546631e-01 2.3434743285179138e-01</leafValues></_>
<_>
<internalNodes>
0 -1 57 -997793790 -119539761 -913836593 -137443421
-274082845 -337391317 -330302465 1078452898</internalNodes>
<leafValues>
-5.6031310558319092e-01 3.2201811671257019e-01</leafValues></_>
<_>
<internalNodes>
0 -1 64 -1109393644 783610748 -209977347 -1080043298
-113512515 -1896112329 -72644424 -1880105484</internalNodes>
<leafValues>
-4.7628229856491089e-01 3.8589614629745483e-01</leafValues></_>
<_>
<internalNodes>
0 -1 13 2010638319 1876617455 -860523545 672849954 957072795
-71565685 1026645807 1206384583</internalNodes>
<leafValues>
-5.0234788656234741e-01 3.9042916893959045e-01</leafValues></_>
<_>
<internalNodes>
0 -1 46 -135275158 -1832679569 151438112 -896564310
-158994365 4977153 -902644810 -168826906</internalNodes>
<leafValues>
-4.6180748939514160e-01 4.2590984702110291e-01</leafValues></_>
<_>
<internalNodes>
0 -1 32 2500868 -37027389 1003830773 -1082436709 -1180051030
-307304261 -72599091 -1074517192</internalNodes>
<leafValues>
-6.7851001024246216e-01 2.9109567403793335e-01</leafValues></_></weakClassifiers></_>
<!-- stage 8 -->
<_>
<maxWeakCount>7</maxWeakCount>
<stageThreshold>-1.3981715440750122e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 2 -290460049 -287353881 -507258913 -60819233 -22285313
-89212597 -676331525 -2097225</internalNodes>
<leafValues>
-6.8647056818008423e-01 1.6538882255554199e-01</leafValues></_>
<_>
<internalNodes>
0 -1 63 -318784500 -1084367369 -58458115 -34080599
-118777192 -345255896 -1096109944 -656672181</internalNodes>
<leafValues>
-5.4743081331253052e-01 2.8956905007362366e-01</leafValues></_>
<_>
<internalNodes>
0 -1 39 -3150586 -294731675 1644185600 -673257138 -521942270
1128769704 1448072003 -739257585</internalNodes>
<leafValues>
-4.2168867588043213e-01 4.0135908126831055e-01</leafValues></_>
<_>
<internalNodes>
0 -1 31 -1135823883 -757668 999612157 -6490627 -1149441028
-1537893 -805438983 -1163391108</internalNodes>
<leafValues>
-4.9981307983398438e-01 3.4327375888824463e-01</leafValues></_>
<_>
<internalNodes>
0 -1 11 -268442450 -168569637 -1195651454 -765742899
1395329831 521095743 1554662949 1951394811</internalNodes>
<leafValues>
-5.9372252225875854e-01 3.0440413951873779e-01</leafValues></_>
<_>
<internalNodes>
0 -1 25 72355157 -673456645 335140055 2103251928 -225478229
-239429117 -400374294 -1929614480</internalNodes>
<leafValues>
-6.4170426130294800e-01 2.4903862178325653e-01</leafValues></_>
<_>
<internalNodes>
0 -1 42 -151275570 1351545059 805584004 902033849
-1979217938 273843401 -247221778 1438874622</internalNodes>
<leafValues>
-5.6551593542098999e-01 3.0046430230140686e-01</leafValues></_></weakClassifiers></_>
<!-- stage 9 -->
<_>
<maxWeakCount>7</maxWeakCount>
<stageThreshold>-1.2768253087997437e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 72 -335548649 1934834527 -1296567941 2055200735
804235845 2061233379 -384041262 -17</internalNodes>
<leafValues>
-7.0549857616424561e-01 8.0438755452632904e-02</leafValues></_>
<_>
<internalNodes>
0 -1 61 804232980 894980543 -782300163 -1077937189 -58017090
-1343516525 -877712980 -1455424033</internalNodes>
<leafValues>
-4.9817597866058350e-01 2.8848552703857422e-01</leafValues></_>
<_>
<internalNodes>
0 -1 0 -1568439445 -363865089 -1386890945 1385034326
-298061441 -965762399 1810887151 -320866896</internalNodes>
<leafValues>
-3.9815270900726318e-01 3.9712515473365784e-01</leafValues></_>
<_>
<internalNodes>
0 -1 53 -640041994 536360410 963584540 972535293 938487020
1072175677 1071593449 2147480543</internalNodes>
<leafValues>
-4.9214878678321838e-01 3.3720245957374573e-01</leafValues></_>
<_>
<internalNodes>
0 -1 26 -934155 2147335917 -268501397 -1074922514 -537116738
-1176440836 -671748145 -2100499766</internalNodes>
<leafValues>
-3.8093495368957520e-01 4.2473357915878296e-01</leafValues></_>
<_>
<internalNodes>
0 -1 67 -956323798 1250915225 -2094399029 1952357835
-405015736 1879221328 1653463714 1087108095</internalNodes>
<leafValues>
-5.4112964868545532e-01 3.0530884861946106e-01</leafValues></_>
<_>
<internalNodes>
0 -1 17 1473793756 -611823278 -794652195 1535906256
1897403356 -1230212702 -845130760 1031304120</internalNodes>
<leafValues>
-6.7982202768325806e-01 2.2837364673614502e-01</leafValues></_></weakClassifiers></_>
<!-- stage 10 -->
<_>
<maxWeakCount>7</maxWeakCount>
<stageThreshold>-1.4132889509201050e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 12 -536875009 -2440229 -879574145 -631633446 -607421733
-876133969 -68424037 -1</internalNodes>
<leafValues>
-6.4715534448623657e-01 2.7853882312774658e-01</leafValues></_>
<_>
<internalNodes>
0 -1 73 -1477499641 -974176545 -842545293 -157288001
1905777490 1562087471 -3745916 -7618561</internalNodes>
<leafValues>
-4.5892652869224548e-01 3.4213942289352417e-01</leafValues></_>
<_>
<internalNodes>
0 -1 56 75632917 -237112745 -543432897 -1084236583
-1179206657 -38041473 -861293605 -1147257866</internalNodes>
<leafValues>
-5.5536472797393799e-01 2.8528028726577759e-01</leafValues></_>
<_>
<internalNodes>
0 -1 58 -138468826 1273811468 353640576 2127243213
1461650197 969213753 918751790 1999634394</internalNodes>
<leafValues>
-6.1491394042968750e-01 2.4912446737289429e-01</leafValues></_>
<_>
<internalNodes>
0 -1 54 -1162866956 2134667985 -99042851 -1109503784
-1196887363 -73883459 2139668473 716970952</internalNodes>
<leafValues>
-7.2157818078994751e-01 2.3274585604667664e-01</leafValues></_>
<_>
<internalNodes>
0 -1 5 -487398398 -1937708982 -804074470 974963746 973503047
1210623275 -91234049 -412617609</internalNodes>
<leafValues>
-5.3705358505249023e-01 2.8468334674835205e-01</leafValues></_>
<_>
<internalNodes>
0 -1 38 -341841398 1753744002 135016450 843723747
-2113196852 36045198 -1018174713 -246420569</internalNodes>
<leafValues>
-4.4833818078041077e-01 3.5536417365074158e-01</leafValues></_></weakClassifiers></_>
<!-- stage 11 -->
<_>
<maxWeakCount>8</maxWeakCount>
<stageThreshold>-1.7711157798767090e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 4 -296753297 1714156518 -771535401 -219220658
-738197729 659285035 -208932705 -33</internalNodes>
<leafValues>
-7.1962618827819824e-01 -2.0501138642430305e-02</leafValues></_>
<_>
<internalNodes>
0 -1 48 -532156542 -75509505 -714114689 -35808497 -748954629
-8404374 1203960831 1879564870</internalNodes>
<leafValues>
-5.3061449527740479e-01 2.5552752614021301e-01</leafValues></_>
<_>
<internalNodes>
0 -1 71 -809505008 148437557 2100231608 -36126372
-1957963599 -1693853121 -1428218156 766506992</internalNodes>
<leafValues>
-5.8492779731750488e-01 2.5657415390014648e-01</leafValues></_>
<_>
<internalNodes>
0 -1 22 -1021107947 -545522707 -1048707 -146903060
-1787297987 -268632082 -253955 -1342484681</internalNodes>
<leafValues>
-3.6037015914916992e-01 4.6110373735427856e-01</leafValues></_>
<_>
<internalNodes>
0 -1 1 -614513110 -438073334 2032912326 40913542 -565458613
-406075145 -1669338114 1201095750</internalNodes>
<leafValues>
-5.8847701549530029e-01 2.6689708232879639e-01</leafValues></_>
<_>
<internalNodes>
0 -1 40 -47468470 -47250930 353509480 1470574770 -1020645334
283253657 1444053065 1472977026</internalNodes>
<leafValues>
-5.0797688961029053e-01 3.0955684185028076e-01</leafValues></_>
<_>
<internalNodes>
0 -1 59 141558648 -4148866 -818097707 380406893 505420265
2057962113 -1885320197 -1392608015</internalNodes>
<leafValues>
-5.9863525629043579e-01 2.6135751605033875e-01</leafValues></_>
<_>
<internalNodes>
0 -1 66 -2099954413 -269274625 -225782025 1943642134
-2645043 -1172682579 -2146894454 -1074512977</internalNodes>
<leafValues>
-4.0345665812492371e-01 3.9659076929092407e-01</leafValues></_></weakClassifiers></_></stages>
<features>
<_>
<rect>
0 0 1 1</rect></_>
<_>
<rect>
0 0 4 4</rect></_>
<_>
<rect>
0 1 1 1</rect></_>
<_>
<rect>
0 1 3 1</rect></_>
<_>
<rect>
0 2 1 1</rect></_>
<_>
<rect>
0 2 2 2</rect></_>
<_>
<rect>
0 3 1 1</rect></_>
<_>
<rect>
0 4 1 2</rect></_>
<_>
<rect>
0 5 1 1</rect></_>
<_>
<rect>
0 6 1 1</rect></_>
<_>
<rect>
0 7 2 2</rect></_>
<_>
<rect>
0 7 3 1</rect></_>
<_>
<rect>
0 10 1 1</rect></_>
<_>
<rect>
1 2 5 3</rect></_>
<_>
<rect>
1 4 3 3</rect></_>
<_>
<rect>
1 4 5 2</rect></_>
<_>
<rect>
2 2 4 3</rect></_>
<_>
<rect>
2 10 1 1</rect></_>
<_>
<rect>
3 7 13 2</rect></_>
<_>
<rect>
4 0 3 1</rect></_>
<_>
<rect>
4 2 15 3</rect></_>
<_>
<rect>
4 10 3 1</rect></_>
<_>
<rect>
5 0 4 1</rect></_>
<_>
<rect>
5 2 13 3</rect></_>
<_>
<rect>
5 10 7 1</rect></_>
<_>
<rect>
6 0 2 1</rect></_>
<_>
<rect>
6 2 6 2</rect></_>
<_>
<rect>
6 5 5 2</rect></_>
<_>
<rect>
6 6 1 1</rect></_>
<_>
<rect>
7 0 1 1</rect></_>
<_>
<rect>
7 1 4 2</rect></_>
<_>
<rect>
7 10 2 1</rect></_>
<_>
<rect>
8 0 10 1</rect></_>
<_>
<rect>
9 0 9 1</rect></_>
<_>
<rect>
9 10 6 1</rect></_>
<_>
<rect>
10 8 11 1</rect></_>
<_>
<rect>
10 9 10 1</rect></_>
<_>
<rect>
12 10 9 1</rect></_>
<_>
<rect>
13 6 1 1</rect></_>
<_>
<rect>
14 5 1 1</rect></_>
<_>
<rect>
15 4 1 2</rect></_>
<_>
<rect>
16 0 3 1</rect></_>
<_>
<rect>
16 6 2 1</rect></_>
<_>
<rect>
16 10 5 1</rect></_>
<_>
<rect>
18 0 5 1</rect></_>
<_>
<rect>
18 7 9 2</rect></_>
<_>
<rect>
19 5 2 1</rect></_>
<_>
<rect>
19 10 7 1</rect></_>
<_>
<rect>
20 0 2 3</rect></_>
<_>
<rect>
21 0 3 1</rect></_>
<_>
<rect>
21 6 1 1</rect></_>
<_>
<rect>
23 0 5 1</rect></_>
<_>
<rect>
23 0 7 2</rect></_>
<_>
<rect>
23 6 2 2</rect></_>
<_>
<rect>
24 10 4 1</rect></_>
<_>
<rect>
26 1 6 3</rect></_>
<_>
<rect>
27 0 2 1</rect></_>
<_>
<rect>
28 0 2 3</rect></_>
<_>
<rect>
30 5 2 2</rect></_>
<_>
<rect>
31 9 3 1</rect></_>
<_>
<rect>
35 0 3 1</rect></_>
<_>
<rect>
37 9 5 1</rect></_>
<_>
<rect>
38 10 2 1</rect></_>
<_>
<rect>
40 0 4 2</rect></_>
<_>
<rect>
40 10 4 1</rect></_>
<_>
<rect>
43 7 3 2</rect></_>
<_>
<rect>
44 0 2 1</rect></_>
<_>
<rect>
45 2 2 2</rect></_>
<_>
<rect>
46 0 2 1</rect></_>
<_>
<rect>
46 5 2 1</rect></_>
<_>
<rect>
46 6 2 2</rect></_>
<_>
<rect>
46 10 2 1</rect></_>
<_>
<rect>
49 1 1 1</rect></_>
<_>
<rect>
49 2 1 1</rect></_>
<_>
<rect>
49 4 1 1</rect></_>
<_>
<rect>
49 5 1 2</rect></_>
<_>
<rect>
49 6 1 1</rect></_></features></cascade>
</opencv_storage>