-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathcascadeL20P1b.xml
670 lines (670 loc) · 23.9 KB
/
cascadeL20P1b.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
<?xml version="1.0"?>
<opencv_storage>
<cascade>
<stageType>BOOST</stageType>
<featureType>LBP</featureType>
<height>60</height>
<width>60</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>20</stageNum>
<stages>
<!-- stage 0 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>-9.7380042076110840e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 2 1494290453 -619884103 285823445 -6729391 2083196953
-19195249 -1689333989 -1145349297</internalNodes>
<leafValues>
-8.1614905595779419e-01 5.6330275535583496e-01</leafValues></_>
<_>
<internalNodes>
0 -1 42 1431449935 -1056358113 286081311 2133530903
-879067345 -72802149 -492244997 -1078326405</internalNodes>
<leafValues>
-7.5774502754211426e-01 6.1497318744659424e-01</leafValues></_>
<_>
<internalNodes>
0 -1 3 -149615630 1460293905 -779906599 -212659889
1762347131 -82067064 1904728315 -10881635</internalNodes>
<leafValues>
-7.7262461185455322e-01 6.1306750774383545e-01</leafValues></_></weakClassifiers></_>
<!-- stage 1 -->
<_>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-5.0610274076461792e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 22 1364414555 458053707 -989472809 -36060606
-1416865666 -71169893 -485824085 -1078247121</internalNodes>
<leafValues>
-7.7696967124938965e-01 5.5428570508956909e-01</leafValues></_>
<_>
<internalNodes>
0 -1 50 -782500868 -1906437744 -1794916076 -1945059174
-1721579331 -662007400 -341923140 -654312036</internalNodes>
<leafValues>
-8.4006685018539429e-01 4.9418351054191589e-01</leafValues></_>
<_>
<internalNodes>
0 -1 45 1691821375 -40824621 -1336879849 -15204067
1535799543 -1080311749 -883236113 -626373818</internalNodes>
<leafValues>
-7.5462549924850464e-01 5.5751347541809082e-01</leafValues></_>
<_>
<internalNodes>
0 -1 26 -12614388 4231514 -2097033058 -1856958317
-1073493683 -897449959 -378800641 -612896297</internalNodes>
<leafValues>
-7.7783507108688354e-01 5.6594920158386230e-01</leafValues></_></weakClassifiers></_>
<!-- stage 2 -->
<_>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>-3.9849519729614258e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 28 1864319471 -1660743453 1419637759 -8056413
-1734181381 -627367789 -1165951809 -1080415521</internalNodes>
<leafValues>
-7.8670012950897217e-01 5.0090414285659790e-01</leafValues></_>
<_>
<internalNodes>
0 -1 18 -1622728707 -587050127 -719268973 2102268125
-1823703122 -606773237 -280317697 1042430771</internalNodes>
<leafValues>
-8.9939934015274048e-01 4.1808000206947327e-01</leafValues></_></weakClassifiers></_>
<!-- stage 3 -->
<_>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-4.3421325087547302e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 9 1129017819 -605818800 1099028950 -167943715 541664331
-560920574 -922527558 -72713269</internalNodes>
<leafValues>
-7.2274881601333618e-01 5.1383399963378906e-01</leafValues></_>
<_>
<internalNodes>
0 -1 54 -246024839 206692421 -787943139 962423199 -515127345
-2097016800 1885923836 735879919</internalNodes>
<leafValues>
-7.7770131826400757e-01 5.5452394485473633e-01</leafValues></_>
<_>
<internalNodes>
0 -1 32 1594915903 -2113706789 -799729315 -159624995
-129473717 -74730877 -7701073 -21871666</internalNodes>
<leafValues>
-7.0434534549713135e-01 6.3538289070129395e-01</leafValues></_>
<_>
<internalNodes>
0 -1 10 -579203983 1486078693 1427361177 1908540563
1523128699 -658472277 -929834181 -41694805</internalNodes>
<leafValues>
-7.9822587966918945e-01 5.5787444114685059e-01</leafValues></_></weakClassifiers></_>
<!-- stage 4 -->
<_>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-3.7400510907173157e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 4 -686547173 1359319233 1359237401 -551960254
1895914275 -931135360 -107875521 -105975335</internalNodes>
<leafValues>
-7.5529414415359497e-01 5.8399999141693115e-01</leafValues></_>
<_>
<internalNodes>
0 -1 58 -1593332762 -1072631421 1077948492 -1006530147
276347290 -1029177206 143258241 -1461085961</internalNodes>
<leafValues>
-7.4286913871765137e-01 6.3596653938293457e-01</leafValues></_>
<_>
<internalNodes>
0 -1 44 290720623 463516427 -922746529 2141458707 201982187
1208189056 151634315 -1148304727</internalNodes>
<leafValues>
-8.0232626199722290e-01 6.0276573896408081e-01</leafValues></_>
<_>
<internalNodes>
0 -1 15 -1474772246 679477264 16811929 17301505 134799919
-889175903 -2013089377 -1142091121</internalNodes>
<leafValues>
-7.9164534807205200e-01 6.0957783460617065e-01</leafValues></_></weakClassifiers></_>
<!-- stage 5 -->
<_>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-4.7195544838905334e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 14 2068578198 -777209652 -2013200357 -2122232547
403408563 -2146172895 1795916290 -1960457963</internalNodes>
<leafValues>
-8.1055480241775513e-01 4.0752863883972168e-01</leafValues></_>
<_>
<internalNodes>
0 -1 6 -143397150 -801056509 335872018 -771534079 -905852789
-1719074812 1359184191 -1064835</internalNodes>
<leafValues>
-7.1840631961822510e-01 5.5562883615493774e-01</leafValues></_>
<_>
<internalNodes>
0 -1 53 -806096006 -1794109146 621875472 -2070851046
-804689731 1242476555 -1828214472 -791706375</internalNodes>
<leafValues>
-7.8310376405715942e-01 4.9222892522811890e-01</leafValues></_>
<_>
<internalNodes>
0 -1 0 -1038906799 -146734592 268567573 -1862168512
-523593177 -1467449216 -767407541 -220346361</internalNodes>
<leafValues>
-6.5200918912887573e-01 6.8053478002548218e-01</leafValues></_></weakClassifiers></_>
<!-- stage 6 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>-1.1286604404449463e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 36 -1056390739 436355856 1358972181 -611974768
-2139094648 1233138057 402654122 939655898</internalNodes>
<leafValues>
-8.7185931205749512e-01 6.2093859910964966e-01</leafValues></_>
<_>
<internalNodes>
0 -1 52 1091789263 272793603 272646487 1476919491 1376387535
-792723310 -2130640896 1755857567</internalNodes>
<leafValues>
-8.0401492118835449e-01 6.5856742858886719e-01</leafValues></_>
<_>
<internalNodes>
0 -1 31 -866512630 1113147665 16793755 -977006063 -939516548
-1945370623 -2013255249 461521281</internalNodes>
<leafValues>
-8.9710915088653564e-01 5.4721379280090332e-01</leafValues></_></weakClassifiers></_>
<!-- stage 7 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>-1.1084721088409424e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 39 1239558005 1104564368 -1069528813 1394164487
1124092523 -368443256 -125596974 1058670799</internalNodes>
<leafValues>
-8.9370632171630859e-01 4.5511811971664429e-01</leafValues></_>
<_>
<internalNodes>
0 -1 17 -620528769 -796229493 807540757 -116538167
-1608990700 -1852931867 1364359696 -90699591</internalNodes>
<leafValues>
-7.3912131786346436e-01 6.0358750820159912e-01</leafValues></_>
<_>
<internalNodes>
0 -1 55 -1064353283 626368836 -737590960 113594434
-2113860657 -1923612670 34178434 786139354</internalNodes>
<leafValues>
-8.1835335493087769e-01 5.5222487449645996e-01</leafValues></_></weakClassifiers></_>
<!-- stage 8 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>-9.4678491353988647e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 34 -654286656 1833193472 331798 -803065856 -1970568532
-2137358187 34194572 -596199217</internalNodes>
<leafValues>
-8.7189543247222900e-01 5.4188036918640137e-01</leafValues></_>
<_>
<internalNodes>
0 -1 59 -575008417 -1982381795 17895517 -1463799739
-1526530016 177143824 -2121723652 -1370645543</internalNodes>
<leafValues>
-7.3495882749557495e-01 6.7662805318832397e-01</leafValues></_>
<_>
<internalNodes>
0 -1 46 -721169582 289423441 -1005559401 839385345
-788463544 -1710971775 -770455432 -1931627708</internalNodes>
<leafValues>
-7.4395805597305298e-01 6.6006934642791748e-01</leafValues></_></weakClassifiers></_>
<!-- stage 9 -->
<_>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>-3.4902575612068176e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 30 -1013931107 -779810746 -1056943845 1159250193
-1601007480 -528482261 -1845456387 637539098</internalNodes>
<leafValues>
-8.5897433757781982e-01 5.6140351295471191e-01</leafValues></_>
<_>
<internalNodes>
0 -1 38 1430315799 1417822528 -1943792765 -1660202715
-515788600 -1063206775 -1719547110 405801724</internalNodes>
<leafValues>
-8.6046594381332397e-01 5.0994861125946045e-01</leafValues></_></weakClassifiers></_>
<!-- stage 10 -->
<_>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-5.1185220479965210e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 57 -229378761 -606239859 -1065155196 -1473699640
-930496351 -922050549 -1714947701 -596645237</internalNodes>
<leafValues>
-6.5548098087310791e-01 5.1754385232925415e-01</leafValues></_>
<_>
<internalNodes>
0 -1 23 -1936987173 1216477323 956655674 -49211367
1355352399 1774354667 58886374 1628536963</internalNodes>
<leafValues>
-7.7327716350555420e-01 4.5807546377182007e-01</leafValues></_>
<_>
<internalNodes>
0 -1 51 571479391 -442875502 -1610509857 -179089327
1392669109 -16547585 -1174240501 -1902493702</internalNodes>
<leafValues>
-7.6325666904449463e-01 5.0610268115997314e-01</leafValues></_>
<_>
<internalNodes>
0 -1 60 -1097349693 175968337 1342279689 -1602648745
-1878450019 -1834773879 -402014120 -1695793412</internalNodes>
<leafValues>
-7.2421485185623169e-01 5.1385146379470825e-01</leafValues></_></weakClassifiers></_>
<!-- stage 11 -->
<_>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>-3.6806088685989380e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 49 -240151128 -687341544 -1593802415 -654094208
84318760 -805203830 -1861115352 209693486</internalNodes>
<leafValues>
-8.5078531503677368e-01 5.1194536685943604e-01</leafValues></_>
<_>
<internalNodes>
0 -1 37 -989439808 1946227073 1224902671 1527513549
-2004876334 -878165374 -846591702 -1442828456</internalNodes>
<leafValues>
-8.8000631332397461e-01 4.8535814881324768e-01</leafValues></_></weakClassifiers></_>
<!-- stage 12 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>-1.0100778341293335e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 40 612580703 633620680 41043 -653197293 -1065139630
-108740416 -805260646 -318201157</internalNodes>
<leafValues>
-8.1198590993881226e-01 6.8336671590805054e-01</leafValues></_>
<_>
<internalNodes>
0 -1 41 -1790929843 -792623039 -2139029225 -1120927596
146800890 -90046456 184549508 683706906</internalNodes>
<leafValues>
-8.4912890195846558e-01 6.0445773601531982e-01</leafValues></_>
<_>
<internalNodes>
0 -1 20 -1073184673 -2080374640 134316049 -715390937
-1065115609 1493205379 -1023344085 -2130129643</internalNodes>
<leafValues>
-7.7228355407714844e-01 6.5103697776794434e-01</leafValues></_></weakClassifiers></_>
<!-- stage 13 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>-9.5601886510848999e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 1 1983304175 -1039023059 -1069547281 -117424078
-871821230 -775782261 -801103360 -16774639</internalNodes>
<leafValues>
-8.3863079547882080e-01 6.3157892227172852e-01</leafValues></_>
<_>
<internalNodes>
0 -1 13 1203399 453118084 487067869 394527122 -660886958
-1593835440 -1567963942 -941702919</internalNodes>
<leafValues>
-7.8149098157882690e-01 6.6192382574081421e-01</leafValues></_>
<_>
<internalNodes>
0 -1 48 1830565823 -787217767 -788457133 -956233471
855668866 -376930176 167807120 -7839727</internalNodes>
<leafValues>
-7.4141114950180054e-01 6.6410291194915771e-01</leafValues></_></weakClassifiers></_>
<!-- stage 14 -->
<_>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>-2.4496230483055115e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 8 -780066565 -926539641 4303 -780009465 -1727995805
-1862172670 -787464147 1947336711</internalNodes>
<leafValues>
-8.8988476991653442e-01 6.0632687807083130e-01</leafValues></_>
<_>
<internalNodes>
0 -1 7 -267644457 -737867556 151322899 -838598648 268992616
-1962761622 805347468 -83681215</internalNodes>
<leafValues>
-7.8597712516784668e-01 6.4492243528366089e-01</leafValues></_></weakClassifiers></_>
<!-- stage 15 -->
<_>
<maxWeakCount>4</maxWeakCount>
<stageThreshold>-6.5494495630264282e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 5 178171 -1147648544 -1072623145 -1216200271 -878859705
-1416978240 -1982486837 -538975843</internalNodes>
<leafValues>
-7.1464020013809204e-01 4.1544118523597717e-01</leafValues></_>
<_>
<internalNodes>
0 -1 19 -15253411 1024790603 1209649627 -1873714796
1010831420 2057027723 -888110962 -75005477</internalNodes>
<leafValues>
-6.9337087869644165e-01 4.8128032684326172e-01</leafValues></_>
<_>
<internalNodes>
0 -1 27 -1576087075 -1748131469 -2147266105 -254770987
-1724872133 -1279426429 -1090475521 260964379</internalNodes>
<leafValues>
-7.5286638736724854e-01 4.9431866407394409e-01</leafValues></_>
<_>
<internalNodes>
0 -1 11 -124251152 -1164948942 138162176 1548231438
-225707165 -670941182 50868539 -857488449</internalNodes>
<leafValues>
-7.9880005121231079e-01 4.4302740693092346e-01</leafValues></_></weakClassifiers></_>
<!-- stage 16 -->
<_>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>-1.6996307671070099e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 16 16830507 17833984 -1061154749 -720777151 135471138
-1879015360 -1844834302 704745474</internalNodes>
<leafValues>
-8.2758623361587524e-01 7.7083331346511841e-01</leafValues></_>
<_>
<internalNodes>
0 -1 29 -314121260 293601280 268439553 414322693 -1073610750
8 -1845362685 413155720</internalNodes>
<leafValues>
-8.9364153146743774e-01 6.5762311220169067e-01</leafValues></_></weakClassifiers></_>
<!-- stage 17 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>-8.6000031232833862e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 33 827031339 -955252656 1140884557 1342771245 530767
1011351552 -2013198289 -1644153429</internalNodes>
<leafValues>
-8.2281553745269775e-01 6.2357413768768311e-01</leafValues></_>
<_>
<internalNodes>
0 -1 47 1095885525 268484608 49372 1344282816 1208025227
146800768 -2138464221 -804552504</internalNodes>
<leafValues>
-7.9738903045654297e-01 6.0040080547332764e-01</leafValues></_>
<_>
<internalNodes>
0 -1 25 -687627861 25428001 1342373891 -644775807 268642314
1090650120 -2147415526 -285212071</internalNodes>
<leafValues>
-6.3758558034896851e-01 7.6317387819290161e-01</leafValues></_></weakClassifiers></_>
<!-- stage 18 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>-7.5974029302597046e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 21 -788336076 -1324269543 -2013200231 -376618965
-2013249000 1267613697 -2147479523 -108330653</internalNodes>
<leafValues>
-7.1724140644073486e-01 5.7083332538604736e-01</leafValues></_>
<_>
<internalNodes>
0 -1 56 1106863 621855001 67109141 1829798299 -2113662973
-1341208448 41943680 -117931880</internalNodes>
<leafValues>
-6.8859291076660156e-01 6.2167608737945557e-01</leafValues></_>
<_>
<internalNodes>
0 -1 35 1843670121 -17399809 -4099 -269722132 -2752625
-9994369 2147483135 1537425385</internalNodes>
<leafValues>
-6.4198070764541626e-01 7.3978888988494873e-01</leafValues></_></weakClassifiers></_>
<!-- stage 19 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>-4.9859181046485901e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 24 285212727 -2130608128 268435457 17416216 134238217
-2012217343 436207633 -928903158</internalNodes>
<leafValues>
-7.1308016777038574e-01 8.1094527244567871e-01</leafValues></_>
<_>
<internalNodes>
0 -1 12 -2147431998 -1207922687 16793793 -1727717359
276856866 419430400 65699 -360707895</internalNodes>
<leafValues>
-6.5422594547271729e-01 8.6186152696609497e-01</leafValues></_>
<_>
<internalNodes>
0 -1 43 -50364933 1877884926 -49160 1073364982 2139027294 -9
1073643515 -1925809026</internalNodes>
<leafValues>
-6.4737313985824585e-01 8.6918395757675171e-01</leafValues></_></weakClassifiers></_></stages>
<features>
<_>
<rect>
0 3 5 10</rect></_>
<_>
<rect>
0 19 7 8</rect></_>
<_>
<rect>
0 37 8 5</rect></_>
<_>
<rect>
0 40 3 6</rect></_>
<_>
<rect>
0 41 5 3</rect></_>
<_>
<rect>
1 0 8 7</rect></_>
<_>
<rect>
1 0 17 9</rect></_>
<_>
<rect>
1 20 8 6</rect></_>
<_>
<rect>
1 24 7 7</rect></_>
<_>
<rect>
1 35 5 4</rect></_>
<_>
<rect>
1 40 6 6</rect></_>
<_>
<rect>
2 5 18 9</rect></_>
<_>
<rect>
2 16 6 3</rect></_>
<_>
<rect>
3 1 7 7</rect></_>
<_>
<rect>
3 7 8 12</rect></_>
<_>
<rect>
4 1 14 5</rect></_>
<_>
<rect>
4 2 7 8</rect></_>
<_>
<rect>
4 20 4 6</rect></_>
<_>
<rect>
4 29 8 8</rect></_>
<_>
<rect>
5 46 5 2</rect></_>
<_>
<rect>
6 10 10 11</rect></_>
<_>
<rect>
6 22 5 3</rect></_>
<_>
<rect>
6 41 6 4</rect></_>
<_>
<rect>
6 45 18 5</rect></_>
<_>
<rect>
7 26 9 4</rect></_>
<_>
<rect>
8 10 5 4</rect></_>
<_>
<rect>
11 0 15 8</rect></_>
<_>
<rect>
11 30 7 5</rect></_>
<_>
<rect>
11 39 4 5</rect></_>
<_>
<rect>
12 8 7 7</rect></_>
<_>
<rect>
12 30 8 4</rect></_>
<_>
<rect>
12 36 4 3</rect></_>
<_>
<rect>
12 37 5 3</rect></_>
<_>
<rect>
12 43 6 2</rect></_>
<_>
<rect>
13 9 10 4</rect></_>
<_>
<rect>
13 18 6 5</rect></_>
<_>
<rect>
13 34 10 3</rect></_>
<_>
<rect>
15 27 6 3</rect></_>
<_>
<rect>
16 32 10 4</rect></_>
<_>
<rect>
16 39 4 3</rect></_>
<_>
<rect>
16 42 3 2</rect></_>
<_>
<rect>
17 29 10 5</rect></_>
<_>
<rect>
17 36 4 4</rect></_>
<_>
<rect>
17 38 2 2</rect></_>
<_>
<rect>
18 42 8 6</rect></_>
<_>
<rect>
20 43 3 2</rect></_>
<_>
<rect>
21 24 10 8</rect></_>
<_>
<rect>
21 48 11 4</rect></_>
<_>
<rect>
22 43 2 2</rect></_>
<_>
<rect>
23 7 11 10</rect></_>
<_>
<rect>
24 21 11 8</rect></_>
<_>
<rect>
24 41 2 2</rect></_>
<_>
<rect>
24 48 9 4</rect></_>
<_>
<rect>
26 21 11 8</rect></_>
<_>
<rect>
27 27 9 10</rect></_>
<_>
<rect>
33 25 9 10</rect></_>
<_>
<rect>
36 41 6 4</rect></_>
<_>
<rect>
39 7 7 8</rect></_>
<_>
<rect>
39 22 6 6</rect></_>
<_>
<rect>
40 34 6 4</rect></_>
<_>
<rect>
44 24 4 10</rect></_></features></cascade>
</opencv_storage>