lbpcascade_frontalface_improved.xml 53 KB

12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394959697989910010110210310410510610710810911011111211311411511611711811912012112212312412512612712812913013113213313413513613713813914014114214314414514614714814915015115215315415515615715815916016116216316416516616716816917017117217317417517617717817918018118218318418518618718818919019119219319419519619719819920020120220320420520620720820921021121221321421521621721821922022122222322422522622722822923023123223323423523623723823924024124224324424524624724824925025125225325425525625725825926026126226326426526626726826927027127227327427527627727827928028128228328428528628728828929029129229329429529629729829930030130230330430530630730830931031131231331431531631731831932032132232332432532632732832933033133233333433533633733833934034134234334434534634734834935035135235335435535635735835936036136236336436536636736836937037137237337437537637737837938038138238338438538638738838939039139239339439539639739839940040140240340440540640740840941041141241341441541641741841942042142242342442542642742842943043143243343443543643743843944044144244344444544644744844945045145245345445545645745845946046146246346446546646746846947047147247347447547647747847948048148248348448548648748848949049149249349449549649749849950050150250350450550650750850951051151251351451551651751851952052152252352452552652752852953053153253353453553653753853954054154254354454554654754854955055155255355455555655755855956056156256356456556656756856957057157257357457557657757857958058158258358458558658758858959059159259359459559659759859960060160260360460560660760860961061161261361461561661761861962062162262362462562662762862963063163263363463563663763863964064164264364464564664764864965065165265365465565665765865966066166266366466566666766866967067167267367467567667767867968068168268368468568668768868969069169269369469569669769869970070170270370470570670770870971071171271371471571671771871972072172272372472572672772872973073173273373473573673773873974074174274374474574674774874975075175275375475575675775875976076176276376476576676776876977077177277377477577677777877978078178278378478578678778878979079179279379479579679779879980080180280380480580680780880981081181281381481581681781881982082182282382482582682782882983083183283383483583683783883984084184284384484584684784884985085185285385485585685785885986086186286386486586686786886987087187287387487587687787887988088188288388488588688788888989089189289389489589689789889990090190290390490590690790890991091191291391491591691791891992092192292392492592692792892993093193293393493593693793893994094194294394494594694794894995095195295395495595695795895996096196296396496596696796896997097197297397497597697797897998098198298398498598698798898999099199299399499599699799899910001001100210031004100510061007100810091010101110121013101410151016101710181019102010211022102310241025102610271028102910301031103210331034103510361037103810391040104110421043104410451046104710481049105010511052105310541055105610571058105910601061106210631064106510661067106810691070107110721073107410751076107710781079108010811082108310841085108610871088108910901091109210931094109510961097109810991100110111021103110411051106110711081109111011111112111311141115111611171118111911201121112211231124112511261127112811291130113111321133113411351136113711381139114011411142114311441145114611471148114911501151115211531154115511561157115811591160116111621163116411651166116711681169117011711172117311741175117611771178117911801181118211831184118511861187118811891190119111921193119411951196119711981199120012011202120312041205120612071208120912101211121212131214121512161217121812191220122112221223122412251226122712281229123012311232123312341235123612371238123912401241124212431244124512461247124812491250125112521253125412551256125712581259126012611262126312641265126612671268126912701271127212731274127512761277127812791280128112821283128412851286128712881289129012911292129312941295129612971298129913001301130213031304130513061307130813091310131113121313131413151316131713181319132013211322132313241325132613271328132913301331133213331334133513361337133813391340134113421343134413451346134713481349135013511352135313541355135613571358135913601361136213631364136513661367136813691370137113721373137413751376137713781379138013811382138313841385138613871388138913901391139213931394139513961397139813991400140114021403140414051406140714081409141014111412141314141415141614171418141914201421142214231424142514261427142814291430143114321433143414351436143714381439144014411442144314441445144614471448144914501451145214531454145514561457145814591460146114621463146414651466146714681469
  1. <?xml version="1.0"?>
  2. <!--
  3. //////////////////////////////////////////////////////////////////////////
  4. | Contributors License Agreement
  5. | IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
  6. | By downloading, copying, installing or using the software you agree
  7. | to this license. If you do not agree to this license, do not download,
  8. | install, copy or use the software.
  9. |
  10. | Copyright (c) 2017, Puttemans Steven, Can Ergun and Toon Goedeme
  11. | (KU Leuven, EAVISE Research Group, Jan Pieter De Nayerlaan 5,
  12. | Sint-Katelijne-Waver, Belgium).
  13. | All rights reserved.
  14. |
  15. | Redistribution and use in source and binary forms, with or without
  16. | modification, are permitted provided that the following conditions are
  17. | met:
  18. |
  19. | * Redistributions of source code must retain the above copyright
  20. | notice, this list of conditions and the following disclaimer.
  21. | * Redistributions in binary form must reproduce the above
  22. | copyright notice, this list of conditions and the following
  23. | disclaimer in the documentation and/or other materials provided
  24. | with the distribution.
  25. | * The name of Contributor may not used to endorse or promote products
  26. | derived from this software without specific prior written permission.
  27. |
  28. | THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
  29. | "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
  30. | LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
  31. | A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
  32. | CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
  33. | EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
  34. | PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
  35. | PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
  36. | LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
  37. | NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
  38. | SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  39. //////////////////////////////////////////////////////////////////////////
  40. =====================================================================
  41. Improving Open Source Face Detection by Combining an Adapted Cascade
  42. Classification Pipeline and Active Learning
  43. =====================================================================
  44. by Puttemans Steven, Can Ergun and Toon Goedeme (KU Leuven, EAVISE, Belgium)
  45. This model is the best performing IterativeHardPositives+ frontal face detection model
  46. used in the research paper presented at VISAPP2017, Porto, Portugal.
  47. RESEARCHERS:
  48. If you are using the improved face detection model or involved ideas please cite
  49. this paper (available at http://eavise.be/publications_lirias.php):
  50. @InProceedings{PuttemansVISAPP2017,
  51. author = "Puttemans Steven, Can Ergun and Toon Goedeme",
  52. title = "Improving Open Source Face Detection by Combining an Adapted Cascade Classification Pipeline and Active Learning"
  53. booktitle = "12th International Conference on Computer Vision Theory and Applications"
  54. year = "2017",
  55. month = "February"
  56. }
  57. COMMERCIAL:
  58. If you have any commercial interest in this work please contact
  59. steven.puttemans@kuleuven.be or toon.goedeme@kuleuven.be
  60. -->
  61. <opencv_storage>
  62. <cascade>
  63. <stageType>BOOST</stageType>
  64. <featureType>LBP</featureType>
  65. <height>45</height>
  66. <width>45</width>
  67. <stageParams>
  68. <boostType>GAB</boostType>
  69. <minHitRate>9.9500000476837158e-001</minHitRate>
  70. <maxFalseAlarm>5.0000000000000000e-001</maxFalseAlarm>
  71. <weightTrimRate>9.4999999999999996e-001</weightTrimRate>
  72. <maxDepth>1</maxDepth>
  73. <maxWeakCount>100</maxWeakCount></stageParams>
  74. <featureParams>
  75. <maxCatCount>256</maxCatCount>
  76. <featSize>1</featSize></featureParams>
  77. <stageNum>19</stageNum>
  78. <stages>
  79. <!-- stage 0 -->
  80. <_>
  81. <maxWeakCount>6</maxWeakCount>
  82. <stageThreshold>-4.1617846488952637e+000</stageThreshold>
  83. <weakClassifiers>
  84. <_>
  85. <internalNodes>
  86. 0 -1 26 -1 -1 -17409 -1 -1 -1 -1 -1</internalNodes>
  87. <leafValues>
  88. -9.9726462364196777e-001 -3.8938775658607483e-001</leafValues></_>
  89. <_>
  90. <internalNodes>
  91. 0 -1 18 -1 -1 -21569 -20545 -1 -1 -20545 -1</internalNodes>
  92. <leafValues>
  93. -9.8648911714553833e-001 -2.5386649370193481e-001</leafValues></_>
  94. <_>
  95. <internalNodes>
  96. 0 -1 30 -21569 -16449 1006578219 -20801 -16449 -1 -21585 -1</internalNodes>
  97. <leafValues>
  98. -9.6436238288879395e-001 -1.4039695262908936e-001</leafValues></_>
  99. <_>
  100. <internalNodes>
  101. 0 -1 54 -1 -1 -16402 -4370 -1 -1 -1053010 -4456466</internalNodes>
  102. <leafValues>
  103. -8.4081345796585083e-001 3.8321062922477722e-001</leafValues></_>
  104. <_>
  105. <internalNodes>
  106. 0 -1 29 -184747280 -705314819 1326353 1364574079 -131073 -5
  107. 2147481147 -1</internalNodes>
  108. <leafValues>
  109. -8.1084597110748291e-001 4.3495711684226990e-001</leafValues></_>
  110. <_>
  111. <internalNodes>
  112. 0 -1 89 -142618625 -4097 -37269 -20933 872350430 -268476417
  113. 1207894255 2139032115</internalNodes>
  114. <leafValues>
  115. -7.3140043020248413e-001 4.3799084424972534e-001</leafValues></_></weakClassifiers></_>
  116. <!-- stage 1 -->
  117. <_>
  118. <maxWeakCount>6</maxWeakCount>
  119. <stageThreshold>-4.0652265548706055e+000</stageThreshold>
  120. <weakClassifiers>
  121. <_>
  122. <internalNodes>
  123. 0 -1 19 -1 -1 -17409 -1 -1 -1 -1 -1</internalNodes>
  124. <leafValues>
  125. -9.9727255105972290e-001 -7.2050148248672485e-001</leafValues></_>
  126. <_>
  127. <internalNodes>
  128. 0 -1 38 -1 1073741823 -1 -1 -1 -1 -1 -1</internalNodes>
  129. <leafValues>
  130. -9.8717331886291504e-001 -5.3031939268112183e-001</leafValues></_>
  131. <_>
  132. <internalNodes>
  133. 0 -1 28 -16385 -1 -21569 -20545 -1 -1 -21569 -1</internalNodes>
  134. <leafValues>
  135. -9.3442338705062866e-001 6.5213099122047424e-002</leafValues></_>
  136. <_>
  137. <internalNodes>
  138. 0 -1 112 -2097153 -1 -1 -1 -1 -8193 -1 -35467</internalNodes>
  139. <leafValues>
  140. -7.9567342996597290e-001 4.2883640527725220e-001</leafValues></_>
  141. <_>
  142. <internalNodes>
  143. 0 -1 48 -134239573 -16465 58663467 -1079022929 -1073758273
  144. -81937 -8412501 -404766817</internalNodes>
  145. <leafValues>
  146. -7.1264797449111938e-001 4.1050794720649719e-001</leafValues></_>
  147. <_>
  148. <internalNodes>
  149. 0 -1 66 -17047555 -1099008003 2147479551 -1090584581 -69633
  150. -1342177281 -1090650121 -1472692240</internalNodes>
  151. <leafValues>
  152. -7.6119172573089600e-001 4.2042696475982666e-001</leafValues></_></weakClassifiers></_>
  153. <!-- stage 2 -->
  154. <_>
  155. <maxWeakCount>7</maxWeakCount>
  156. <stageThreshold>-4.6904473304748535e+000</stageThreshold>
  157. <weakClassifiers>
  158. <_>
  159. <internalNodes>
  160. 0 -1 12 -1 -1 -17409 -1 -1 -1 -1 -1</internalNodes>
  161. <leafValues>
  162. -9.9725550413131714e-001 -8.3142280578613281e-001</leafValues></_>
  163. <_>
  164. <internalNodes>
  165. 0 -1 31 -1 -168429569 -1 -1 -1 -1 -1 -1</internalNodes>
  166. <leafValues>
  167. -9.8183268308639526e-001 -3.6373397707939148e-001</leafValues></_>
  168. <_>
  169. <internalNodes>
  170. 0 -1 38 -1 1073741759 -1 -1 -1 -1 -1 -1</internalNodes>
  171. <leafValues>
  172. -9.1890293359756470e-001 7.8322596848011017e-002</leafValues></_>
  173. <_>
  174. <internalNodes>
  175. 0 -1 27 -17409 -2097153 -134372726 -21873 -65 -536870913
  176. -161109 -4215889</internalNodes>
  177. <leafValues>
  178. -8.0752444267272949e-001 1.9565649330615997e-001</leafValues></_>
  179. <_>
  180. <internalNodes>
  181. 0 -1 46 -469779457 -286371842 -33619971 -212993 -1 -41943049
  182. -134217731 -1346863620</internalNodes>
  183. <leafValues>
  184. -6.9232726097106934e-001 3.8141927123069763e-001</leafValues></_>
  185. <_>
  186. <internalNodes>
  187. 0 -1 125 -1896950780 -1964839052 -9 707723004 -34078727
  188. -1074266122 -536872969 -262145</internalNodes>
  189. <leafValues>
  190. -8.1760478019714355e-001 3.4172961115837097e-001</leafValues></_>
  191. <_>
  192. <internalNodes>
  193. 0 -1 80 -402657501 654311423 -419533278 -452984853
  194. 1979676215 -1208090625 -167772569 -524289</internalNodes>
  195. <leafValues>
  196. -6.3433408737182617e-001 4.3154156208038330e-001</leafValues></_></weakClassifiers></_>
  197. <!-- stage 3 -->
  198. <_>
  199. <maxWeakCount>8</maxWeakCount>
  200. <stageThreshold>-4.2590322494506836e+000</stageThreshold>
  201. <weakClassifiers>
  202. <_>
  203. <internalNodes>
  204. 0 -1 42 -1 -655361 -1 -1 -1 -1 -1 -1</internalNodes>
  205. <leafValues>
  206. -9.9715477228164673e-001 -8.6178696155548096e-001</leafValues></_>
  207. <_>
  208. <internalNodes>
  209. 0 -1 40 -1 -705300491 -1 -1 -1 -1 -1 -1</internalNodes>
  210. <leafValues>
  211. -9.8356908559799194e-001 -5.7423096895217896e-001</leafValues></_>
  212. <_>
  213. <internalNodes>
  214. 0 -1 43 -65 872413111 -2049 -1 -1 -1 -1 -1</internalNodes>
  215. <leafValues>
  216. -9.2525935173034668e-001 -1.3835857808589935e-001</leafValues></_>
  217. <_>
  218. <internalNodes>
  219. 0 -1 111 -1 -5242881 -1 -524289 -4194305 -1 -1 -43148</internalNodes>
  220. <leafValues>
  221. -7.8076487779617310e-001 1.8362471461296082e-001</leafValues></_>
  222. <_>
  223. <internalNodes>
  224. 0 -1 25 -145227841 868203194 -1627394049 935050171
  225. 2147483647 1006600191 -268439637 1002437615</internalNodes>
  226. <leafValues>
  227. -7.2554033994674683e-001 3.3393219113349915e-001</leafValues></_>
  228. <_>
  229. <internalNodes>
  230. 0 -1 116 -214961408 50592514 -2128 1072162674 -1077940293
  231. -1084489966 -134219854 -1074790401</internalNodes>
  232. <leafValues>
  233. -6.1547595262527466e-001 3.9214438199996948e-001</leafValues></_>
  234. <_>
  235. <internalNodes>
  236. 0 -1 3 -294987948 -1124421633 -73729 -268435841 -33654928
  237. 2122317823 -268599297 -33554945</internalNodes>
  238. <leafValues>
  239. -6.4863425493240356e-001 3.8784855604171753e-001</leafValues></_>
  240. <_>
  241. <internalNodes>
  242. 0 -1 22 -525585 -26738821 -17895690 1123482236 1996455758
  243. -8519849 -252182980 -461898753</internalNodes>
  244. <leafValues>
  245. -5.5464369058609009e-001 4.4275921583175659e-001</leafValues></_></weakClassifiers></_>
  246. <!-- stage 4 -->
  247. <_>
  248. <maxWeakCount>8</maxWeakCount>
  249. <stageThreshold>-4.0009465217590332e+000</stageThreshold>
  250. <weakClassifiers>
  251. <_>
  252. <internalNodes>
  253. 0 -1 82 -1 -1 -1 -1 -33685505 -1 -1 -1</internalNodes>
  254. <leafValues>
  255. -9.9707120656967163e-001 -8.9196771383285522e-001</leafValues></_>
  256. <_>
  257. <internalNodes>
  258. 0 -1 84 -1 -1 -1 -1 2147446783 -1 -1 -1</internalNodes>
  259. <leafValues>
  260. -9.8670446872711182e-001 -7.5064390897750854e-001</leafValues></_>
  261. <_>
  262. <internalNodes>
  263. 0 -1 79 -1 -1 -262145 -1 -252379137 -1 -1 -1</internalNodes>
  264. <leafValues>
  265. -8.9446705579757690e-001 7.0268943905830383e-002</leafValues></_>
  266. <_>
  267. <internalNodes>
  268. 0 -1 61 -1 -8201 -1 -2097153 -16777217 -513 -16777217
  269. -1162149889</internalNodes>
  270. <leafValues>
  271. -7.2166109085083008e-001 2.9786801338195801e-001</leafValues></_>
  272. <_>
  273. <internalNodes>
  274. 0 -1 30 -21569 -1069121 1006578211 -134238545 -16450
  275. -268599297 -21617 -14680097</internalNodes>
  276. <leafValues>
  277. -6.2449234724044800e-001 3.8551881909370422e-001</leafValues></_>
  278. <_>
  279. <internalNodes>
  280. 0 -1 75 -268701913 -1999962377 1995165474 -453316822
  281. 1744684853 -2063597697 -134226057 -50336769</internalNodes>
  282. <leafValues>
  283. -5.5207914113998413e-001 4.2211884260177612e-001</leafValues></_>
  284. <_>
  285. <internalNodes>
  286. 0 -1 21 -352321825 -526489 -420020626 -486605074 1155483470
  287. -110104705 -587840772 -25428801</internalNodes>
  288. <leafValues>
  289. -5.3324747085571289e-001 4.4535955786705017e-001</leafValues></_>
  290. <_>
  291. <internalNodes>
  292. 0 -1 103 70270772 2012790229 -16810020 -245764 -1208090635
  293. -753667 -1073741828 -1363662420</internalNodes>
  294. <leafValues>
  295. -6.4402890205383301e-001 3.8995954394340515e-001</leafValues></_></weakClassifiers></_>
  296. <!-- stage 5 -->
  297. <_>
  298. <maxWeakCount>8</maxWeakCount>
  299. <stageThreshold>-4.6897511482238770e+000</stageThreshold>
  300. <weakClassifiers>
  301. <_>
  302. <internalNodes>
  303. 0 -1 97 -1 -1 -1 -1 -524289 -524289 -1 -1</internalNodes>
  304. <leafValues>
  305. -9.9684870243072510e-001 -8.8232177495956421e-001</leafValues></_>
  306. <_>
  307. <internalNodes>
  308. 0 -1 84 -1 -1 -1 -1 2147438591 -1 -1 -1</internalNodes>
  309. <leafValues>
  310. -9.8677414655685425e-001 -7.8965580463409424e-001</leafValues></_>
  311. <_>
  312. <internalNodes>
  313. 0 -1 113 -1 -1 -1 -1 -1048577 -262149 -1048577 -35339</internalNodes>
  314. <leafValues>
  315. -9.2621946334838867e-001 -2.9984828829765320e-001</leafValues></_>
  316. <_>
  317. <internalNodes>
  318. 0 -1 33 -2249 867434291 -32769 -33562753 -1 -1073758209
  319. -4165 -1</internalNodes>
  320. <leafValues>
  321. -7.2429555654525757e-001 2.2348840534687042e-001</leafValues></_>
  322. <_>
  323. <internalNodes>
  324. 0 -1 98 1659068671 -142606337 587132538 -67108993 577718271
  325. -294921 -134479873 -129</internalNodes>
  326. <leafValues>
  327. -5.5495566129684448e-001 3.5419258475303650e-001</leafValues></_>
  328. <_>
  329. <internalNodes>
  330. 0 -1 100 -268441813 788267007 -286265494 -486576145 -8920251
  331. 2138505075 -151652570 -2050</internalNodes>
  332. <leafValues>
  333. -5.3362584114074707e-001 3.9479774236679077e-001</leafValues></_>
  334. <_>
  335. <internalNodes>
  336. 0 -1 51 -1368387212 -537102978 -98305 -163843 1065109500
  337. -16777217 -67321939 -1141359619</internalNodes>
  338. <leafValues>
  339. -5.6162708997726440e-001 3.8008108735084534e-001</leafValues></_>
  340. <_>
  341. <internalNodes>
  342. 0 -1 127 -268435550 1781120906 -251658720 -143130698
  343. -1048605 -1887436825 1979700688 -1008730125</internalNodes>
  344. <leafValues>
  345. -5.1167154312133789e-001 4.0678605437278748e-001</leafValues></_></weakClassifiers></_>
  346. <!-- stage 6 -->
  347. <_>
  348. <maxWeakCount>10</maxWeakCount>
  349. <stageThreshold>-4.2179841995239258e+000</stageThreshold>
  350. <weakClassifiers>
  351. <_>
  352. <internalNodes>
  353. 0 -1 97 -1 -1 -1 -1 -524289 -524289 -1 -1</internalNodes>
  354. <leafValues>
  355. -9.9685418605804443e-001 -8.8037383556365967e-001</leafValues></_>
  356. <_>
  357. <internalNodes>
  358. 0 -1 90 -1 -1 -1 -1 -8912897 -524297 -8912897 -1</internalNodes>
  359. <leafValues>
  360. -9.7972750663757324e-001 -5.7626229524612427e-001</leafValues></_>
  361. <_>
  362. <internalNodes>
  363. 0 -1 96 -1 -1 -1 -1 -1 -65 -1 -2249</internalNodes>
  364. <leafValues>
  365. -9.0239793062210083e-001 -1.7454113066196442e-001</leafValues></_>
  366. <_>
  367. <internalNodes>
  368. 0 -1 71 -1 -4097 -1 -513 -16777217 -268468483 -16797697
  369. -1430589697</internalNodes>
  370. <leafValues>
  371. -7.4346423149108887e-001 9.4165161252021790e-002</leafValues></_>
  372. <_>
  373. <internalNodes>
  374. 0 -1 37 1364588304 -581845274 -536936460 -3 -308936705
  375. -1074331649 -4196865 -134225953</internalNodes>
  376. <leafValues>
  377. -6.8877440690994263e-001 2.7647304534912109e-001</leafValues></_>
  378. <_>
  379. <internalNodes>
  380. 0 -1 117 -37765187 -540675 -3 -327753 -1082458115 -65537
  381. 1071611901 536827253</internalNodes>
  382. <leafValues>
  383. -5.7555085420608521e-001 3.4339720010757446e-001</leafValues></_>
  384. <_>
  385. <internalNodes>
  386. 0 -1 85 -269490650 -1561395522 -1343312090 -857083986
  387. -1073750223 -369098755 -50856110 -2065</internalNodes>
  388. <leafValues>
  389. -5.4036927223205566e-001 4.0065473318099976e-001</leafValues></_>
  390. <_>
  391. <internalNodes>
  392. 0 -1 4 -425668880 -34427164 1879048177 -269570140 790740912
  393. -196740 2138535839 -536918145</internalNodes>
  394. <leafValues>
  395. -4.8439365625381470e-001 4.4630467891693115e-001</leafValues></_>
  396. <_>
  397. <internalNodes>
  398. 0 -1 92 74726960 -1246482434 -1 -246017 -1078607916
  399. -1073947163 -1644231687 -1359211496</internalNodes>
  400. <leafValues>
  401. -5.6686979532241821e-001 3.6671569943428040e-001</leafValues></_>
  402. <_>
  403. <internalNodes>
  404. 0 -1 11 -135274809 -1158173459 -353176850 540195262
  405. 2139086600 2071977814 -546898600 -96272673</internalNodes>
  406. <leafValues>
  407. -5.1499199867248535e-001 4.0788397192955017e-001</leafValues></_></weakClassifiers></_>
  408. <!-- stage 7 -->
  409. <_>
  410. <maxWeakCount>9</maxWeakCount>
  411. <stageThreshold>-4.0345416069030762e+000</stageThreshold>
  412. <weakClassifiers>
  413. <_>
  414. <internalNodes>
  415. 0 -1 78 -1 -1 -1 -1 -8912897 -1 -8912897 -1</internalNodes>
  416. <leafValues>
  417. -9.9573624134063721e-001 -8.5452395677566528e-001</leafValues></_>
  418. <_>
  419. <internalNodes>
  420. 0 -1 93 -1 -1 -1 -1 -148635649 -524297 -8912897 -1</internalNodes>
  421. <leafValues>
  422. -9.7307401895523071e-001 -5.2884924411773682e-001</leafValues></_>
  423. <_>
  424. <internalNodes>
  425. 0 -1 77 -1 -8209 -1 -257 -772734977 -1 -201850881 -1</internalNodes>
  426. <leafValues>
  427. -8.6225658655166626e-001 4.3712578713893890e-002</leafValues></_>
  428. <_>
  429. <internalNodes>
  430. 0 -1 68 -570427393 -16649 -69633 -131073 -536944677 -1 -8737
  431. -1435828225</internalNodes>
  432. <leafValues>
  433. -6.8078064918518066e-001 2.5120577216148376e-001</leafValues></_>
  434. <_>
  435. <internalNodes>
  436. 0 -1 50 -1179697 -34082849 -3278356 -37429266 -1048578
  437. -555753474 -1015551096 -37489685</internalNodes>
  438. <leafValues>
  439. -6.1699724197387695e-001 3.0963841080665588e-001</leafValues></_>
  440. <_>
  441. <internalNodes>
  442. 0 -1 129 -1931606992 -17548804 -16842753 -1075021827
  443. 1073667572 -81921 -1611073620 -1415047752</internalNodes>
  444. <leafValues>
  445. -6.0499197244644165e-001 3.0735063552856445e-001</leafValues></_>
  446. <_>
  447. <internalNodes>
  448. 0 -1 136 -269754813 1761591286 -1073811523 2130378623 -17580
  449. -1082294665 -159514800 -1026883840</internalNodes>
  450. <leafValues>
  451. -5.6772041320800781e-001 3.5023149847984314e-001</leafValues></_>
  452. <_>
  453. <internalNodes>
  454. 0 -1 65 2016561683 1528827871 -10258447 960184191 125476830
  455. -8511618 -1078239365 187648611</internalNodes>
  456. <leafValues>
  457. -5.5894804000854492e-001 3.4856522083282471e-001</leafValues></_>
  458. <_>
  459. <internalNodes>
  460. 0 -1 13 -207423502 -333902 2013200231 -202348848 1042454451
  461. -16393 1073117139 2004162321</internalNodes>
  462. <leafValues>
  463. -5.7197356224060059e-001 3.2818377017974854e-001</leafValues></_></weakClassifiers></_>
  464. <!-- stage 8 -->
  465. <_>
  466. <maxWeakCount>9</maxWeakCount>
  467. <stageThreshold>-3.4892759323120117e+000</stageThreshold>
  468. <weakClassifiers>
  469. <_>
  470. <internalNodes>
  471. 0 -1 78 -1 -1 -1 -1 -8912897 -1 -8912897 -1</internalNodes>
  472. <leafValues>
  473. -9.8917990922927856e-001 -7.3812037706375122e-001</leafValues></_>
  474. <_>
  475. <internalNodes>
  476. 0 -1 93 -1 -1 -1 -1 -148635649 -524297 -8912897 -1</internalNodes>
  477. <leafValues>
  478. -9.3414896726608276e-001 -2.6945295929908752e-001</leafValues></_>
  479. <_>
  480. <internalNodes>
  481. 0 -1 83 -1 -524289 -1 -1048577 1879011071 -32769 -524289
  482. -3178753</internalNodes>
  483. <leafValues>
  484. -7.6891708374023438e-001 5.2568886429071426e-002</leafValues></_>
  485. <_>
  486. <internalNodes>
  487. 0 -1 9 -352329729 -17891329 -16810117 -486871042 -688128841
  488. -1358954675 -16777218 -219217968</internalNodes>
  489. <leafValues>
  490. -6.2337344884872437e-001 2.5143685936927795e-001</leafValues></_>
  491. <_>
  492. <internalNodes>
  493. 0 -1 130 -2157 -1548812374 -1343233440 -418381854 -953155613
  494. -836960513 -713571200 -709888014</internalNodes>
  495. <leafValues>
  496. -4.7277018427848816e-001 3.9616456627845764e-001</leafValues></_>
  497. <_>
  498. <internalNodes>
  499. 0 -1 121 -1094717701 -67240065 -65857 -32899 -5783756
  500. -136446081 -134285352 -2003298884</internalNodes>
  501. <leafValues>
  502. -5.1766264438629150e-001 3.5814732313156128e-001</leafValues></_>
  503. <_>
  504. <internalNodes>
  505. 0 -1 23 -218830160 -119671186 5505075 1241491391 -1594469
  506. -2097185 2004828075 -67649541</internalNodes>
  507. <leafValues>
  508. -6.5394639968872070e-001 3.0377501249313354e-001</leafValues></_>
  509. <_>
  510. <internalNodes>
  511. 0 -1 115 -551814749 2099511088 -1090732551 -2045546512
  512. -1086341441 1059848178 800042912 252705994</internalNodes>
  513. <leafValues>
  514. -5.2584588527679443e-001 3.3847147226333618e-001</leafValues></_>
  515. <_>
  516. <internalNodes>
  517. 0 -1 99 -272651477 578776766 -285233490 -889225217
  518. 2147448656 377454463 2012701952 -68157761</internalNodes>
  519. <leafValues>
  520. -6.1836904287338257e-001 2.8922611474990845e-001</leafValues></_></weakClassifiers></_>
  521. <!-- stage 9 -->
  522. <_>
  523. <maxWeakCount>9</maxWeakCount>
  524. <stageThreshold>-3.0220029354095459e+000</stageThreshold>
  525. <weakClassifiers>
  526. <_>
  527. <internalNodes>
  528. 0 -1 36 -1 -570425345 -1 -570425345 -1 -50331649 -6291457 -1</internalNodes>
  529. <leafValues>
  530. -9.7703826427459717e-001 -6.2527233362197876e-001</leafValues></_>
  531. <_>
  532. <internalNodes>
  533. 0 -1 124 -1430602241 -33619969 -1 -3 -1074003969 -1073758209
  534. -1073741825 -1073768705</internalNodes>
  535. <leafValues>
  536. -8.9538317918777466e-001 -3.1887885928153992e-001</leafValues></_>
  537. <_>
  538. <internalNodes>
  539. 0 -1 88 -1 -268439625 -65601 -268439569 -393809 -270532609
  540. -42076889 -288361721</internalNodes>
  541. <leafValues>
  542. -6.8733429908752441e-001 1.2978810071945190e-001</leafValues></_>
  543. <_>
  544. <internalNodes>
  545. 0 -1 132 -755049252 2042563807 1795096575 465121071
  546. -1090585188 -20609 -1459691784 539672495</internalNodes>
  547. <leafValues>
  548. -5.7038843631744385e-001 3.0220884084701538e-001</leafValues></_>
  549. <_>
  550. <internalNodes>
  551. 0 -1 20 -94377762 -25702678 1694167798 -231224662 1079955016
  552. -346144140 2029995743 -536918961</internalNodes>
  553. <leafValues>
  554. -5.3204691410064697e-001 3.4054222702980042e-001</leafValues></_>
  555. <_>
  556. <internalNodes>
  557. 0 -1 47 2143026943 -285278225 -3 -612438281 -16403 -131074
  558. -1 -1430749256</internalNodes>
  559. <leafValues>
  560. -4.6176829934120178e-001 4.1114711761474609e-001</leafValues></_>
  561. <_>
  562. <internalNodes>
  563. 0 -1 74 203424336 -25378820 -35667973 1073360894 -1912815660
  564. -573444 -356583491 -1365235056</internalNodes>
  565. <leafValues>
  566. -4.9911966919898987e-001 3.5335537791252136e-001</leafValues></_>
  567. <_>
  568. <internalNodes>
  569. 0 -1 6 -1056773 -1508430 -558153 -102747408 2133997491
  570. -269043865 2004842231 -8947721</internalNodes>
  571. <leafValues>
  572. -4.0219521522521973e-001 4.3947893381118774e-001</leafValues></_>
  573. <_>
  574. <internalNodes>
  575. 0 -1 70 -880809694 -1070282769 -1363162108 -838881281
  576. -680395161 -2064124929 -34244753 1173880701</internalNodes>
  577. <leafValues>
  578. -5.3891533613204956e-001 3.2062566280364990e-001</leafValues></_></weakClassifiers></_>
  579. <!-- stage 10 -->
  580. <_>
  581. <maxWeakCount>8</maxWeakCount>
  582. <stageThreshold>-2.5489892959594727e+000</stageThreshold>
  583. <weakClassifiers>
  584. <_>
  585. <internalNodes>
  586. 0 -1 39 -1 -572522497 -8519681 -570425345 -4195329 -50333249
  587. -1 -1</internalNodes>
  588. <leafValues>
  589. -9.4647216796875000e-001 -3.3662387728691101e-001</leafValues></_>
  590. <_>
  591. <internalNodes>
  592. 0 -1 124 -1430735362 -33619971 -8201 -3 -1677983745
  593. -1073762817 -1074003969 -1142979329</internalNodes>
  594. <leafValues>
  595. -8.0300611257553101e-001 -3.8466516882181168e-002</leafValues></_>
  596. <_>
  597. <internalNodes>
  598. 0 -1 91 -67113217 -524289 -671482265 -786461 1677132031
  599. -268473345 -68005889 -70291765</internalNodes>
  600. <leafValues>
  601. -5.8367580175399780e-001 2.6507318019866943e-001</leafValues></_>
  602. <_>
  603. <internalNodes>
  604. 0 -1 17 -277872641 -553910292 -268435458 -16843010
  605. 1542420439 -1342178311 -143132940 -2834</internalNodes>
  606. <leafValues>
  607. -4.6897178888320923e-001 3.7864661216735840e-001</leafValues></_>
  608. <_>
  609. <internalNodes>
  610. 0 -1 137 -1312789 -290527285 -286326862 -5505280 -1712335966
  611. -2045979188 1165423617 -709363723</internalNodes>
  612. <leafValues>
  613. -4.6382644772529602e-001 3.6114525794982910e-001</leafValues></_>
  614. <_>
  615. <internalNodes>
  616. 0 -1 106 1355856590 -109445156 -96665606 2066939898
  617. 1356084692 1549031917 -30146561 -16581701</internalNodes>
  618. <leafValues>
  619. -6.3095021247863770e-001 2.9294869303703308e-001</leafValues></_>
  620. <_>
  621. <internalNodes>
  622. 0 -1 104 -335555328 118529 1860167712 -810680357 -33558656
  623. -1368391795 -402663552 -1343225921</internalNodes>
  624. <leafValues>
  625. -5.9658926725387573e-001 2.7228885889053345e-001</leafValues></_>
  626. <_>
  627. <internalNodes>
  628. 0 -1 76 217581168 -538349634 1062631419 1039868926
  629. -1090707460 -2228359 -1078042693 -1147128518</internalNodes>
  630. <leafValues>
  631. -4.5812287926673889e-001 3.7063929438591003e-001</leafValues></_></weakClassifiers></_>
  632. <!-- stage 11 -->
  633. <_>
  634. <maxWeakCount>9</maxWeakCount>
  635. <stageThreshold>-2.5802578926086426e+000</stageThreshold>
  636. <weakClassifiers>
  637. <_>
  638. <internalNodes>
  639. 0 -1 35 -513 -706873891 -270541825 1564475391 -120602625
  640. -118490145 -3162113 -1025</internalNodes>
  641. <leafValues>
  642. -8.9068460464477539e-001 -1.6470588743686676e-001</leafValues></_>
  643. <_>
  644. <internalNodes>
  645. 0 -1 41 -1025 872144563 -2105361 -1078076417 -1048577
  646. -1145061461 -87557413 -1375993973</internalNodes>
  647. <leafValues>
  648. -7.1808964014053345e-001 2.2022204473614693e-002</leafValues></_>
  649. <_>
  650. <internalNodes>
  651. 0 -1 95 -42467849 967946223 -811601986 1030598351
  652. -1212430676 270856533 -1392539508 147705039</internalNodes>
  653. <leafValues>
  654. -4.9424821138381958e-001 3.0048963427543640e-001</leafValues></_>
  655. <_>
  656. <internalNodes>
  657. 0 -1 10 -218116370 -637284625 -87373174 -521998782
  658. -805355450 -615023745 -814267322 -12069282</internalNodes>
  659. <leafValues>
  660. -5.5306458473205566e-001 2.9137542843818665e-001</leafValues></_>
  661. <_>
  662. <internalNodes>
  663. 0 -1 105 -275849241 -527897 -11052049 -69756067 -15794193
  664. -1141376839 -564771 -287095455</internalNodes>
  665. <leafValues>
  666. -4.6759819984436035e-001 3.6638516187667847e-001</leafValues></_>
  667. <_>
  668. <internalNodes>
  669. 0 -1 24 -1900898096 -18985228 -44056577 -24675 -1074880639
  670. -283998 796335613 -1079041957</internalNodes>
  671. <leafValues>
  672. -4.2737138271331787e-001 3.9243003726005554e-001</leafValues></_>
  673. <_>
  674. <internalNodes>
  675. 0 -1 139 -555790844 410735094 -32106513 406822863 -897632192
  676. -912830145 -117771560 -1204027649</internalNodes>
  677. <leafValues>
  678. -4.1896930336952209e-001 3.6744937300682068e-001</leafValues></_>
  679. <_>
  680. <internalNodes>
  681. 0 -1 0 -1884822366 -1406613148 1135342180 -1979127580
  682. -68174862 246469804 1001386992 -708885872</internalNodes>
  683. <leafValues>
  684. -5.7093089818954468e-001 2.9880744218826294e-001</leafValues></_>
  685. <_>
  686. <internalNodes>
  687. 0 -1 45 -469053950 1439068142 2117758841 2004671078
  688. 207931006 1265321675 970353931 1541343047</internalNodes>
  689. <leafValues>
  690. -6.0491901636123657e-001 2.4652053415775299e-001</leafValues></_></weakClassifiers></_>
  691. <!-- stage 12 -->
  692. <_>
  693. <maxWeakCount>9</maxWeakCount>
  694. <stageThreshold>-2.2425732612609863e+000</stageThreshold>
  695. <weakClassifiers>
  696. <_>
  697. <internalNodes>
  698. 0 -1 58 1481987157 282547485 -14952129 421131223 -391065352
  699. -24212488 -100094241 -1157907473</internalNodes>
  700. <leafValues>
  701. -8.2822084426879883e-001 -2.1619293093681335e-001</leafValues></_>
  702. <_>
  703. <internalNodes>
  704. 0 -1 126 -134217889 -543174305 -75497474 -16851650 -6685738
  705. -75834693 -2097200 -262146</internalNodes>
  706. <leafValues>
  707. -5.4628932476043701e-001 2.7662658691406250e-001</leafValues></_>
  708. <_>
  709. <internalNodes>
  710. 0 -1 133 -220728227 -604288517 -661662214 413104863
  711. -627323700 -251915415 -626200872 -1157958657</internalNodes>
  712. <leafValues>
  713. -4.1643124818801880e-001 4.1700571775436401e-001</leafValues></_>
  714. <_>
  715. <internalNodes>
  716. 0 -1 2 -186664033 -44236961 -1630262774 -65163606 -103237330
  717. -3083265 -1003729 2053105955</internalNodes>
  718. <leafValues>
  719. -5.4847818613052368e-001 2.9710745811462402e-001</leafValues></_>
  720. <_>
  721. <internalNodes>
  722. 0 -1 62 -256115886 -237611873 -620250696 387061799
  723. 1437882671 274878849 -8684449 1494294023</internalNodes>
  724. <leafValues>
  725. -4.6202757954597473e-001 3.3915829658508301e-001</leafValues></_>
  726. <_>
  727. <internalNodes>
  728. 0 -1 1 -309400577 -275864640 -1056864869 1737132756
  729. -272385089 1609671419 1740601343 1261376789</internalNodes>
  730. <leafValues>
  731. -4.6158722043037415e-001 3.3939516544342041e-001</leafValues></_>
  732. <_>
  733. <internalNodes>
  734. 0 -1 102 818197248 -196324552 286970589 -573270699
  735. -1174099579 -662077381 -1165157895 -1626859296</internalNodes>
  736. <leafValues>
  737. -4.6193107962608337e-001 3.2456985116004944e-001</leafValues></_>
  738. <_>
  739. <internalNodes>
  740. 0 -1 69 -1042550357 14675409 1367955200 -841482753
  741. 1642443255 8774277 1941304147 1099949563</internalNodes>
  742. <leafValues>
  743. -4.9091196060180664e-001 3.3870378136634827e-001</leafValues></_>
  744. <_>
  745. <internalNodes>
  746. 0 -1 72 -639654997 1375720439 -2129542805 1614801090
  747. -626787937 -5779294 1488699183 -525406458</internalNodes>
  748. <leafValues>
  749. -4.9073097109794617e-001 3.0637946724891663e-001</leafValues></_></weakClassifiers></_>
  750. <!-- stage 13 -->
  751. <_>
  752. <maxWeakCount>9</maxWeakCount>
  753. <stageThreshold>-1.2258235216140747e+000</stageThreshold>
  754. <weakClassifiers>
  755. <_>
  756. <internalNodes>
  757. 0 -1 118 302046707 -16744240 1360106207 -543735387
  758. 1025700851 -1079408512 1796961263 -6334981</internalNodes>
  759. <leafValues>
  760. -6.1358314752578735e-001 2.3539231717586517e-001</leafValues></_>
  761. <_>
  762. <internalNodes>
  763. 0 -1 5 -144765953 -116448726 -653851877 1934829856 722021887
  764. 856564834 1933919231 -540838029</internalNodes>
  765. <leafValues>
  766. -5.1209545135498047e-001 3.2506987452507019e-001</leafValues></_>
  767. <_>
  768. <internalNodes>
  769. 0 -1 140 -170132825 -1438923874 1879300370 -1689337194
  770. -695606496 285911565 -1044188928 -154210028</internalNodes>
  771. <leafValues>
  772. -5.1769560575485229e-001 3.2290914654731750e-001</leafValues></_>
  773. <_>
  774. <internalNodes>
  775. 0 -1 131 -140776261 -355516414 822178224 -1039743806
  776. -1012208926 134887424 1438876097 -908591660</internalNodes>
  777. <leafValues>
  778. -5.0321841239929199e-001 3.0263835191726685e-001</leafValues></_>
  779. <_>
  780. <internalNodes>
  781. 0 -1 64 -2137211696 -1634281249 1464325973 498569935
  782. -1580152080 -2001687927 721783561 265096035</internalNodes>
  783. <leafValues>
  784. -4.6532225608825684e-001 3.4638473391532898e-001</leafValues></_>
  785. <_>
  786. <internalNodes>
  787. 0 -1 101 -255073589 -211824417 -972195129 -1063415417
  788. 1937994261 1363165220 -754733105 1967602541</internalNodes>
  789. <leafValues>
  790. -4.9611270427703857e-001 3.3260712027549744e-001</leafValues></_>
  791. <_>
  792. <internalNodes>
  793. 0 -1 81 -548146862 -655567194 -2062466596 1164562721
  794. 416408236 -1591631712 -83637777 975344427</internalNodes>
  795. <leafValues>
  796. -4.9862930178642273e-001 3.2003280520439148e-001</leafValues></_>
  797. <_>
  798. <internalNodes>
  799. 0 -1 55 -731904652 2147179896 2147442687 2112830847 -65604
  800. -131073 -42139667 -1074907393</internalNodes>
  801. <leafValues>
  802. -3.6636069416999817e-001 4.5651626586914063e-001</leafValues></_>
  803. <_>
  804. <internalNodes>
  805. 0 -1 67 1885036886 571985932 -1784930633 724431327
  806. 1940422257 -1085746880 964888398 731867951</internalNodes>
  807. <leafValues>
  808. -5.2619713544845581e-001 3.2635414600372314e-001</leafValues></_></weakClassifiers></_>
  809. <!-- stage 14 -->
  810. <_>
  811. <maxWeakCount>9</maxWeakCount>
  812. <stageThreshold>-1.3604533672332764e+000</stageThreshold>
  813. <weakClassifiers>
  814. <_>
  815. <internalNodes>
  816. 0 -1 8 -287609985 -965585953 -2146397793 -492129894
  817. -729029645 -544619901 -645693256 -6565484</internalNodes>
  818. <leafValues>
  819. -4.5212322473526001e-001 3.8910505175590515e-001</leafValues></_>
  820. <_>
  821. <internalNodes>
  822. 0 -1 122 -102903523 -145031013 536899675 688195859
  823. -645291520 -1165359094 -905565928 171608223</internalNodes>
  824. <leafValues>
  825. -4.9594074487686157e-001 3.4109055995941162e-001</leafValues></_>
  826. <_>
  827. <internalNodes>
  828. 0 -1 134 -790640459 487931983 1778450522 1036604041
  829. -904752984 -954040118 -2134707506 304866043</internalNodes>
  830. <leafValues>
  831. -4.1148442029953003e-001 3.9666590094566345e-001</leafValues></_>
  832. <_>
  833. <internalNodes>
  834. 0 -1 141 -303829117 1726939070 922189815 -827983123
  835. 1567883042 1324809852 292710260 -942678754</internalNodes>
  836. <leafValues>
  837. -3.5154473781585693e-001 4.8011952638626099e-001</leafValues></_>
  838. <_>
  839. <internalNodes>
  840. 0 -1 59 -161295376 -159215460 -1858041315 2140644499
  841. -2009065472 -133804007 -2003265301 1263206851</internalNodes>
  842. <leafValues>
  843. -4.2808216810226440e-001 3.9841541647911072e-001</leafValues></_>
  844. <_>
  845. <internalNodes>
  846. 0 -1 34 -264248081 -667846464 1342624856 1381160835
  847. -2104716852 1342865409 -266612310 -165954877</internalNodes>
  848. <leafValues>
  849. -4.3293288350105286e-001 4.0339657664299011e-001</leafValues></_>
  850. <_>
  851. <internalNodes>
  852. 0 -1 32 -1600388464 -40369901 285344639 1394344275
  853. -255680312 -100532214 -1031663944 -7471079</internalNodes>
  854. <leafValues>
  855. -4.1385015845298767e-001 4.5087572932243347e-001</leafValues></_>
  856. <_>
  857. <internalNodes>
  858. 0 -1 15 1368521651 280207469 35779199 -105983261 1208124819
  859. -565870452 -1144024288 -591535344</internalNodes>
  860. <leafValues>
  861. -4.2956474423408508e-001 4.2176279425621033e-001</leafValues></_>
  862. <_>
  863. <internalNodes>
  864. 0 -1 109 1623607527 -661513115 -1073217263 -2142994420
  865. -1339883309 -89816956 436308899 1426178059</internalNodes>
  866. <leafValues>
  867. -4.7764992713928223e-001 3.7551075220108032e-001</leafValues></_></weakClassifiers></_>
  868. <!-- stage 15 -->
  869. <_>
  870. <maxWeakCount>9</maxWeakCount>
  871. <stageThreshold>-4.2518746852874756e-001</stageThreshold>
  872. <weakClassifiers>
  873. <_>
  874. <internalNodes>
  875. 0 -1 135 -116728032 -1154420809 -1350582273 746061691
  876. -1073758277 2138570623 2113797566 -138674182</internalNodes>
  877. <leafValues>
  878. -1.7125381529331207e-001 6.5421247482299805e-001</leafValues></_>
  879. <_>
  880. <internalNodes>
  881. 0 -1 63 -453112432 -1795354691 -1342242964 494112553
  882. 209458404 -2114697500 1316830362 259213855</internalNodes>
  883. <leafValues>
  884. -3.9870172739028931e-001 4.5807033777236938e-001</leafValues></_>
  885. <_>
  886. <internalNodes>
  887. 0 -1 52 -268172036 294715533 268575185 486785157 -1065303920
  888. -360185856 -2147476808 134777113</internalNodes>
  889. <leafValues>
  890. -5.3581339120864868e-001 3.5815808176994324e-001</leafValues></_>
  891. <_>
  892. <internalNodes>
  893. 0 -1 86 -301996882 -345718921 1877946252 -940720129
  894. -58737369 -721944585 -92954835 -530449</internalNodes>
  895. <leafValues>
  896. -3.9938014745712280e-001 4.9603295326232910e-001</leafValues></_>
  897. <_>
  898. <internalNodes>
  899. 0 -1 14 -853281886 -756895766 2130706352 -9519120
  900. -1921059862 394133373 2138453959 -538200841</internalNodes>
  901. <leafValues>
  902. -4.0230083465576172e-001 4.9537116289138794e-001</leafValues></_>
  903. <_>
  904. <internalNodes>
  905. 0 -1 128 -2133448688 -641138493 1078022185 294060066
  906. -327122776 -2130640896 -2147466247 -1910634326</internalNodes>
  907. <leafValues>
  908. -5.8290809392929077e-001 3.4102553129196167e-001</leafValues></_>
  909. <_>
  910. <internalNodes>
  911. 0 -1 53 587265978 -2071658479 1108361221 -578448765
  912. -1811905899 -2008965119 33900729 762301595</internalNodes>
  913. <leafValues>
  914. -4.5518967509269714e-001 4.7242793440818787e-001</leafValues></_>
  915. <_>
  916. <internalNodes>
  917. 0 -1 138 -1022189373 -2139094976 16658 -1069445120
  918. -1073555454 -1073577856 1096068 -978351488</internalNodes>
  919. <leafValues>
  920. -4.7530207037925720e-001 4.3885371088981628e-001</leafValues></_>
  921. <_>
  922. <internalNodes>
  923. 0 -1 7 -395352441 -1073541103 -1056964605 1053186 269111298
  924. -2012184576 1611208714 -360415095</internalNodes>
  925. <leafValues>
  926. -5.0448113679885864e-001 4.1588482260704041e-001</leafValues></_></weakClassifiers></_>
  927. <!-- stage 16 -->
  928. <_>
  929. <maxWeakCount>7</maxWeakCount>
  930. <stageThreshold>2.7163455262780190e-002</stageThreshold>
  931. <weakClassifiers>
  932. <_>
  933. <internalNodes>
  934. 0 -1 49 783189748 -137429026 -257 709557994 2130460236
  935. -196611 -9580 585428708</internalNodes>
  936. <leafValues>
  937. -2.0454545319080353e-001 7.9608374834060669e-001</leafValues></_>
  938. <_>
  939. <internalNodes>
  940. 0 -1 108 1284360448 1057423155 1592696573 -852672655
  941. 1547382714 -1642594369 125705358 797134398</internalNodes>
  942. <leafValues>
  943. -3.6474677920341492e-001 6.0925579071044922e-001</leafValues></_>
  944. <_>
  945. <internalNodes>
  946. 0 -1 94 1347680270 -527720448 1091567712 1073745933
  947. -1073180671 0 285745154 -511192438</internalNodes>
  948. <leafValues>
  949. -4.6406838297843933e-001 5.5626088380813599e-001</leafValues></_>
  950. <_>
  951. <internalNodes>
  952. 0 -1 73 1705780944 -145486260 -115909 -281793505 -418072663
  953. -1681064068 1877454127 -1912330993</internalNodes>
  954. <leafValues>
  955. -4.7043186426162720e-001 5.8430361747741699e-001</leafValues></_>
  956. <_>
  957. <internalNodes>
  958. 0 -1 110 -2118142016 339509033 -285260567 1417764573
  959. 68144392 -468879483 -2033291636 231451911</internalNodes>
  960. <leafValues>
  961. -4.8700931668281555e-001 5.4639810323715210e-001</leafValues></_>
  962. <_>
  963. <internalNodes>
  964. 0 -1 119 -1888051818 489996135 -65539 849536890 2146716845
  965. -1107542088 -1275615746 -1119617586</internalNodes>
  966. <leafValues>
  967. -4.3356490135192871e-001 6.5175366401672363e-001</leafValues></_>
  968. <_>
  969. <internalNodes>
  970. 0 -1 44 -1879021438 336830528 1073766659 1477541961 8560696
  971. -1207369568 8462472 1493893448</internalNodes>
  972. <leafValues>
  973. -5.4343086481094360e-001 5.2777874469757080e-001</leafValues></_></weakClassifiers></_>
  974. <!-- stage 17 -->
  975. <_>
  976. <maxWeakCount>7</maxWeakCount>
  977. <stageThreshold>4.9174150824546814e-001</stageThreshold>
  978. <weakClassifiers>
  979. <_>
  980. <internalNodes>
  981. 0 -1 57 644098 15758324 1995964260 -463011882 893285175
  982. 83156983 2004317989 16021237</internalNodes>
  983. <leafValues>
  984. -1.7073170840740204e-001 9.0782123804092407e-001</leafValues></_>
  985. <_>
  986. <internalNodes>
  987. 0 -1 123 268632845 -2147450864 -2143240192 -2147401728
  988. 8523937 -1878523840 16777416 616824984</internalNodes>
  989. <leafValues>
  990. -4.8744434118270874e-001 7.3311311006546021e-001</leafValues></_>
  991. <_>
  992. <internalNodes>
  993. 0 -1 120 -2110735872 803880886 989739810 1673281312 91564930
  994. -277454958 997709514 -581366443</internalNodes>
  995. <leafValues>
  996. -4.0291741490364075e-001 8.2450771331787109e-001</leafValues></_>
  997. <_>
  998. <internalNodes>
  999. 0 -1 87 941753434 -1067128905 788512753 -1074450460
  1000. 779101657 -1346552460 938805167 -2050424642</internalNodes>
  1001. <leafValues>
  1002. -3.6246949434280396e-001 8.7103593349456787e-001</leafValues></_>
  1003. <_>
  1004. <internalNodes>
  1005. 0 -1 60 208 1645217920 130 538263552 33595552 -1475870592
  1006. 16783361 1375993867</internalNodes>
  1007. <leafValues>
  1008. -6.1472141742706299e-001 5.9707164764404297e-001</leafValues></_>
  1009. <_>
  1010. <internalNodes>
  1011. 0 -1 114 1860423179 1034692624 -285213187 -986681712
  1012. 1576755092 -1408205463 -127714 -1246035687</internalNodes>
  1013. <leafValues>
  1014. -4.5621752738952637e-001 8.9482426643371582e-001</leafValues></_>
  1015. <_>
  1016. <internalNodes>
  1017. 0 -1 107 33555004 -1861746688 1073807361 -754909184
  1018. 645922856 8388608 134250648 419635458</internalNodes>
  1019. <leafValues>
  1020. -5.2466005086898804e-001 7.1834069490432739e-001</leafValues></_></weakClassifiers></_>
  1021. <!-- stage 18 -->
  1022. <_>
  1023. <maxWeakCount>2</maxWeakCount>
  1024. <stageThreshold>1.9084988832473755e+000</stageThreshold>
  1025. <weakClassifiers>
  1026. <_>
  1027. <internalNodes>
  1028. 0 -1 16 536064 131072 -20971516 524288 576 1048577 0 40960</internalNodes>
  1029. <leafValues>
  1030. -8.0000001192092896e-001 9.8018401861190796e-001</leafValues></_>
  1031. <_>
  1032. <internalNodes>
  1033. 0 -1 56 67108864 0 4096 1074003968 8192 536870912 4 262144</internalNodes>
  1034. <leafValues>
  1035. -9.6610915660858154e-001 9.2831486463546753e-001</leafValues></_></weakClassifiers></_></stages>
  1036. <features>
  1037. <_>
  1038. <rect>
  1039. 0 0 1 1</rect></_>
  1040. <_>
  1041. <rect>
  1042. 0 0 3 2</rect></_>
  1043. <_>
  1044. <rect>
  1045. 0 1 13 6</rect></_>
  1046. <_>
  1047. <rect>
  1048. 0 2 3 14</rect></_>
  1049. <_>
  1050. <rect>
  1051. 0 2 4 2</rect></_>
  1052. <_>
  1053. <rect>
  1054. 0 6 2 3</rect></_>
  1055. <_>
  1056. <rect>
  1057. 0 6 3 2</rect></_>
  1058. <_>
  1059. <rect>
  1060. 0 16 1 3</rect></_>
  1061. <_>
  1062. <rect>
  1063. 0 20 3 3</rect></_>
  1064. <_>
  1065. <rect>
  1066. 0 22 2 3</rect></_>
  1067. <_>
  1068. <rect>
  1069. 0 28 4 4</rect></_>
  1070. <_>
  1071. <rect>
  1072. 0 35 2 3</rect></_>
  1073. <_>
  1074. <rect>
  1075. 1 0 14 7</rect></_>
  1076. <_>
  1077. <rect>
  1078. 1 5 3 2</rect></_>
  1079. <_>
  1080. <rect>
  1081. 1 6 2 1</rect></_>
  1082. <_>
  1083. <rect>
  1084. 1 14 10 9</rect></_>
  1085. <_>
  1086. <rect>
  1087. 1 21 4 4</rect></_>
  1088. <_>
  1089. <rect>
  1090. 1 23 4 2</rect></_>
  1091. <_>
  1092. <rect>
  1093. 2 0 13 7</rect></_>
  1094. <_>
  1095. <rect>
  1096. 2 0 14 7</rect></_>
  1097. <_>
  1098. <rect>
  1099. 2 33 5 4</rect></_>
  1100. <_>
  1101. <rect>
  1102. 2 36 4 3</rect></_>
  1103. <_>
  1104. <rect>
  1105. 2 39 3 2</rect></_>
  1106. <_>
  1107. <rect>
  1108. 3 1 13 11</rect></_>
  1109. <_>
  1110. <rect>
  1111. 3 2 3 2</rect></_>
  1112. <_>
  1113. <rect>
  1114. 4 0 7 8</rect></_>
  1115. <_>
  1116. <rect>
  1117. 4 0 13 7</rect></_>
  1118. <_>
  1119. <rect>
  1120. 5 0 12 6</rect></_>
  1121. <_>
  1122. <rect>
  1123. 5 0 13 7</rect></_>
  1124. <_>
  1125. <rect>
  1126. 5 1 10 13</rect></_>
  1127. <_>
  1128. <rect>
  1129. 5 1 12 7</rect></_>
  1130. <_>
  1131. <rect>
  1132. 5 2 7 13</rect></_>
  1133. <_>
  1134. <rect>
  1135. 5 4 2 1</rect></_>
  1136. <_>
  1137. <rect>
  1138. 5 8 7 4</rect></_>
  1139. <_>
  1140. <rect>
  1141. 5 39 3 2</rect></_>
  1142. <_>
  1143. <rect>
  1144. 6 3 5 2</rect></_>
  1145. <_>
  1146. <rect>
  1147. 6 3 6 2</rect></_>
  1148. <_>
  1149. <rect>
  1150. 6 5 4 12</rect></_>
  1151. <_>
  1152. <rect>
  1153. 6 9 6 3</rect></_>
  1154. <_>
  1155. <rect>
  1156. 7 3 5 2</rect></_>
  1157. <_>
  1158. <rect>
  1159. 7 3 6 13</rect></_>
  1160. <_>
  1161. <rect>
  1162. 7 5 6 4</rect></_>
  1163. <_>
  1164. <rect>
  1165. 7 7 6 10</rect></_>
  1166. <_>
  1167. <rect>
  1168. 7 8 6 4</rect></_>
  1169. <_>
  1170. <rect>
  1171. 7 32 5 4</rect></_>
  1172. <_>
  1173. <rect>
  1174. 7 33 5 4</rect></_>
  1175. <_>
  1176. <rect>
  1177. 8 0 1 1</rect></_>
  1178. <_>
  1179. <rect>
  1180. 8 0 2 1</rect></_>
  1181. <_>
  1182. <rect>
  1183. 8 2 10 7</rect></_>
  1184. <_>
  1185. <rect>
  1186. 9 0 6 2</rect></_>
  1187. <_>
  1188. <rect>
  1189. 9 2 9 3</rect></_>
  1190. <_>
  1191. <rect>
  1192. 9 4 1 1</rect></_>
  1193. <_>
  1194. <rect>
  1195. 9 6 2 1</rect></_>
  1196. <_>
  1197. <rect>
  1198. 9 28 6 4</rect></_>
  1199. <_>
  1200. <rect>
  1201. 10 0 9 3</rect></_>
  1202. <_>
  1203. <rect>
  1204. 10 3 1 1</rect></_>
  1205. <_>
  1206. <rect>
  1207. 10 10 11 11</rect></_>
  1208. <_>
  1209. <rect>
  1210. 10 15 4 3</rect></_>
  1211. <_>
  1212. <rect>
  1213. 11 4 2 1</rect></_>
  1214. <_>
  1215. <rect>
  1216. 11 27 4 3</rect></_>
  1217. <_>
  1218. <rect>
  1219. 11 36 8 2</rect></_>
  1220. <_>
  1221. <rect>
  1222. 12 0 2 2</rect></_>
  1223. <_>
  1224. <rect>
  1225. 12 23 4 3</rect></_>
  1226. <_>
  1227. <rect>
  1228. 12 25 4 3</rect></_>
  1229. <_>
  1230. <rect>
  1231. 12 29 5 3</rect></_>
  1232. <_>
  1233. <rect>
  1234. 12 33 3 4</rect></_>
  1235. <_>
  1236. <rect>
  1237. 13 0 2 2</rect></_>
  1238. <_>
  1239. <rect>
  1240. 13 36 8 3</rect></_>
  1241. <_>
  1242. <rect>
  1243. 14 0 2 2</rect></_>
  1244. <_>
  1245. <rect>
  1246. 15 15 2 2</rect></_>
  1247. <_>
  1248. <rect>
  1249. 16 13 3 4</rect></_>
  1250. <_>
  1251. <rect>
  1252. 17 0 1 3</rect></_>
  1253. <_>
  1254. <rect>
  1255. 17 1 3 3</rect></_>
  1256. <_>
  1257. <rect>
  1258. 17 31 5 3</rect></_>
  1259. <_>
  1260. <rect>
  1261. 17 35 3 1</rect></_>
  1262. <_>
  1263. <rect>
  1264. 18 13 2 3</rect></_>
  1265. <_>
  1266. <rect>
  1267. 18 39 2 1</rect></_>
  1268. <_>
  1269. <rect>
  1270. 19 0 7 15</rect></_>
  1271. <_>
  1272. <rect>
  1273. 19 2 7 2</rect></_>
  1274. <_>
  1275. <rect>
  1276. 19 3 7 13</rect></_>
  1277. <_>
  1278. <rect>
  1279. 19 14 2 2</rect></_>
  1280. <_>
  1281. <rect>
  1282. 19 24 7 4</rect></_>
  1283. <_>
  1284. <rect>
  1285. 20 1 6 13</rect></_>
  1286. <_>
  1287. <rect>
  1288. 20 8 7 3</rect></_>
  1289. <_>
  1290. <rect>
  1291. 20 9 7 3</rect></_>
  1292. <_>
  1293. <rect>
  1294. 20 13 1 1</rect></_>
  1295. <_>
  1296. <rect>
  1297. 20 14 2 3</rect></_>
  1298. <_>
  1299. <rect>
  1300. 20 30 3 2</rect></_>
  1301. <_>
  1302. <rect>
  1303. 21 0 3 4</rect></_>
  1304. <_>
  1305. <rect>
  1306. 21 0 6 8</rect></_>
  1307. <_>
  1308. <rect>
  1309. 21 3 6 2</rect></_>
  1310. <_>
  1311. <rect>
  1312. 21 6 6 4</rect></_>
  1313. <_>
  1314. <rect>
  1315. 21 37 2 1</rect></_>
  1316. <_>
  1317. <rect>
  1318. 22 3 6 2</rect></_>
  1319. <_>
  1320. <rect>
  1321. 22 13 1 2</rect></_>
  1322. <_>
  1323. <rect>
  1324. 22 22 4 3</rect></_>
  1325. <_>
  1326. <rect>
  1327. 23 0 2 3</rect></_>
  1328. <_>
  1329. <rect>
  1330. 23 3 6 2</rect></_>
  1331. <_>
  1332. <rect>
  1333. 23 9 5 4</rect></_>
  1334. <_>
  1335. <rect>
  1336. 23 11 1 1</rect></_>
  1337. <_>
  1338. <rect>
  1339. 23 15 1 1</rect></_>
  1340. <_>
  1341. <rect>
  1342. 23 16 3 2</rect></_>
  1343. <_>
  1344. <rect>
  1345. 23 35 2 1</rect></_>
  1346. <_>
  1347. <rect>
  1348. 23 36 1 1</rect></_>
  1349. <_>
  1350. <rect>
  1351. 23 39 6 2</rect></_>
  1352. <_>
  1353. <rect>
  1354. 24 0 2 3</rect></_>
  1355. <_>
  1356. <rect>
  1357. 24 8 6 11</rect></_>
  1358. <_>
  1359. <rect>
  1360. 24 28 2 2</rect></_>
  1361. <_>
  1362. <rect>
  1363. 24 33 4 4</rect></_>
  1364. <_>
  1365. <rect>
  1366. 25 16 4 3</rect></_>
  1367. <_>
  1368. <rect>
  1369. 25 31 5 3</rect></_>
  1370. <_>
  1371. <rect>
  1372. 26 0 1 2</rect></_>
  1373. <_>
  1374. <rect>
  1375. 26 0 2 2</rect></_>
  1376. <_>
  1377. <rect>
  1378. 26 0 3 2</rect></_>
  1379. <_>
  1380. <rect>
  1381. 26 24 4 4</rect></_>
  1382. <_>
  1383. <rect>
  1384. 27 30 4 5</rect></_>
  1385. <_>
  1386. <rect>
  1387. 27 36 5 3</rect></_>
  1388. <_>
  1389. <rect>
  1390. 28 0 2 2</rect></_>
  1391. <_>
  1392. <rect>
  1393. 28 4 2 1</rect></_>
  1394. <_>
  1395. <rect>
  1396. 28 21 2 5</rect></_>
  1397. <_>
  1398. <rect>
  1399. 29 8 2 1</rect></_>
  1400. <_>
  1401. <rect>
  1402. 33 0 2 1</rect></_>
  1403. <_>
  1404. <rect>
  1405. 33 0 4 2</rect></_>
  1406. <_>
  1407. <rect>
  1408. 33 0 4 6</rect></_>
  1409. <_>
  1410. <rect>
  1411. 33 3 1 1</rect></_>
  1412. <_>
  1413. <rect>
  1414. 33 6 4 12</rect></_>
  1415. <_>
  1416. <rect>
  1417. 33 21 4 2</rect></_>
  1418. <_>
  1419. <rect>
  1420. 33 36 4 3</rect></_>
  1421. <_>
  1422. <rect>
  1423. 35 1 2 2</rect></_>
  1424. <_>
  1425. <rect>
  1426. 36 5 1 1</rect></_>
  1427. <_>
  1428. <rect>
  1429. 36 29 3 4</rect></_>
  1430. <_>
  1431. <rect>
  1432. 36 39 2 2</rect></_>
  1433. <_>
  1434. <rect>
  1435. 37 5 2 2</rect></_>
  1436. <_>
  1437. <rect>
  1438. 38 6 2 1</rect></_>
  1439. <_>
  1440. <rect>
  1441. 38 6 2 2</rect></_>
  1442. <_>
  1443. <rect>
  1444. 39 1 2 12</rect></_>
  1445. <_>
  1446. <rect>
  1447. 39 24 1 2</rect></_>
  1448. <_>
  1449. <rect>
  1450. 39 36 2 2</rect></_>
  1451. <_>
  1452. <rect>
  1453. 40 39 1 2</rect></_>
  1454. <_>
  1455. <rect>
  1456. 42 4 1 1</rect></_>
  1457. <_>
  1458. <rect>
  1459. 42 20 1 2</rect></_>
  1460. <_>
  1461. <rect>
  1462. 42 29 1 2</rect></_></features></cascade>
  1463. </opencv_storage>