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  1. <?xml version="1.0"?>
  2. <opencv_storage>
  3. <cascade>
  4. <stageType>BOOST</stageType>
  5. <featureType>HAAR</featureType>
  6. <height>45</height>
  7. <width>25</width>
  8. <stageParams>
  9. <boostType>GAB</boostType>
  10. <minHitRate>9.9900001287460327e-01</minHitRate>
  11. <maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
  12. <weightTrimRate>9.4999999999999996e-01</weightTrimRate>
  13. <maxDepth>1</maxDepth>
  14. <maxWeakCount>100</maxWeakCount></stageParams>
  15. <featureParams>
  16. <maxCatCount>0</maxCatCount>
  17. <featSize>1</featSize>
  18. <mode>ALL</mode></featureParams>
  19. <stageNum>20</stageNum>
  20. <stages>
  21. <!-- stage 0 -->
  22. <_>
  23. <maxWeakCount>3</maxWeakCount>
  24. <stageThreshold>-1.1182584762573242e+00</stageThreshold>
  25. <weakClassifiers>
  26. <_>
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  41. <!-- stage 1 -->
  42. <_>
  43. <maxWeakCount>4</maxWeakCount>
  44. <stageThreshold>-3.8429734110832214e-01</stageThreshold>
  45. <weakClassifiers>
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  66. <!-- stage 2 -->
  67. <_>
  68. <maxWeakCount>5</maxWeakCount>
  69. <stageThreshold>-5.6873494386672974e-01</stageThreshold>
  70. <weakClassifiers>
  71. <_>
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  96. <!-- stage 3 -->
  97. <_>
  98. <maxWeakCount>5</maxWeakCount>
  99. <stageThreshold>-6.2908536195755005e-01</stageThreshold>
  100. <weakClassifiers>
  101. <_>
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  111. <_>
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  126. <!-- stage 4 -->
  127. <_>
  128. <maxWeakCount>5</maxWeakCount>
  129. <stageThreshold>-1.1076694726943970e+00</stageThreshold>
  130. <weakClassifiers>
  131. <_>
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  136. <_>
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  141. <_>
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  146. <_>
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  151. <_>
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  156. <!-- stage 5 -->
  157. <_>
  158. <maxWeakCount>6</maxWeakCount>
  159. <stageThreshold>-1.1980488300323486e+00</stageThreshold>
  160. <weakClassifiers>
  161. <_>
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  166. <_>
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  171. <_>
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  176. <_>
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  180. 4.4698977470397949e-01 -6.7423629760742188e-01</leafValues></_>
  181. <_>
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  184. <leafValues>
  185. -9.4970852136611938e-01 2.5682422518730164e-01</leafValues></_>
  186. <_>
  187. <internalNodes>
  188. 0 -1 39 5.3423915232997388e-05</internalNodes>
  189. <leafValues>
  190. 2.3531873524188995e-01 -9.1529178619384766e-01</leafValues></_></weakClassifiers></_>
  191. <!-- stage 6 -->
  192. <_>
  193. <maxWeakCount>4</maxWeakCount>
  194. <stageThreshold>5.2624002099037170e-02</stageThreshold>
  195. <weakClassifiers>
  196. <_>
  197. <internalNodes>
  198. 0 -1 52 1.2321374379098415e-04</internalNodes>
  199. <leafValues>
  200. 5.9589743614196777e-01 -8.0444443225860596e-01</leafValues></_>
  201. <_>
  202. <internalNodes>
  203. 0 -1 122 -2.9269425431266427e-04</internalNodes>
  204. <leafValues>
  205. -9.2455589771270752e-01 3.2840943336486816e-01</leafValues></_>
  206. <_>
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  209. <leafValues>
  210. -8.6902695894241333e-01 2.9218551516532898e-01</leafValues></_>
  211. <_>
  212. <internalNodes>
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  214. <leafValues>
  215. -9.2562615871429443e-01 2.3647351562976837e-01</leafValues></_></weakClassifiers></_>
  216. <!-- stage 7 -->
  217. <_>
  218. <maxWeakCount>6</maxWeakCount>
  219. <stageThreshold>-5.5691772699356079e-01</stageThreshold>
  220. <weakClassifiers>
  221. <_>
  222. <internalNodes>
  223. 0 -1 96 -1.7651211237534881e-04</internalNodes>
  224. <leafValues>
  225. 5.6299215555191040e-01 -9.3478262424468994e-01</leafValues></_>
  226. <_>
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  228. 0 -1 59 -2.6983745396137238e-02</internalNodes>
  229. <leafValues>
  230. 4.8550808429718018e-01 -5.7044625282287598e-01</leafValues></_>
  231. <_>
  232. <internalNodes>
  233. 0 -1 25 -8.2707917317748070e-04</internalNodes>
  234. <leafValues>
  235. -7.5436908006668091e-01 3.9481931924819946e-01</leafValues></_>
  236. <_>
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  238. 0 -1 74 -3.3318206667900085e-02</internalNodes>
  239. <leafValues>
  240. 4.4258514046669006e-01 -6.2007123231887817e-01</leafValues></_>
  241. <_>
  242. <internalNodes>
  243. 0 -1 24 -4.0659449994564056e-02</internalNodes>
  244. <leafValues>
  245. 6.7747306823730469e-01 -4.1924440860748291e-01</leafValues></_>
  246. <_>
  247. <internalNodes>
  248. 0 -1 116 1.7721638141665608e-04</internalNodes>
  249. <leafValues>
  250. 2.7273333072662354e-01 -9.6762365102767944e-01</leafValues></_></weakClassifiers></_>
  251. <!-- stage 8 -->
  252. <_>
  253. <maxWeakCount>9</maxWeakCount>
  254. <stageThreshold>-1.1224768161773682e+00</stageThreshold>
  255. <weakClassifiers>
  256. <_>
  257. <internalNodes>
  258. 0 -1 15 2.2653568885289133e-04</internalNodes>
  259. <leafValues>
  260. 5.8097165822982788e-01 -8.2075470685958862e-01</leafValues></_>
  261. <_>
  262. <internalNodes>
  263. 0 -1 135 1.1001355014741421e-03</internalNodes>
  264. <leafValues>
  265. -5.2033698558807373e-01 5.0861692428588867e-01</leafValues></_>
  266. <_>
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  268. 0 -1 81 -6.0721102636307478e-04</internalNodes>
  269. <leafValues>
  270. 4.4948601722717285e-01 -6.5971684455871582e-01</leafValues></_>
  271. <_>
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  274. <leafValues>
  275. 4.6075913310050964e-01 -5.4609370231628418e-01</leafValues></_>
  276. <_>
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  279. <leafValues>
  280. 4.1999927163124084e-01 -5.8192580938339233e-01</leafValues></_>
  281. <_>
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  284. <leafValues>
  285. -8.1050950288772583e-01 3.2997298240661621e-01</leafValues></_>
  286. <_>
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  288. 0 -1 113 9.2536982265301049e-05</internalNodes>
  289. <leafValues>
  290. 2.2872088849544525e-01 -9.1734880208969116e-01</leafValues></_>
  291. <_>
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  294. <leafValues>
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  296. <_>
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  299. <leafValues>
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  301. <!-- stage 9 -->
  302. <_>
  303. <maxWeakCount>6</maxWeakCount>
  304. <stageThreshold>-6.3339114189147949e-01</stageThreshold>
  305. <weakClassifiers>
  306. <_>
  307. <internalNodes>
  308. 0 -1 106 -7.6895457823411562e-06</internalNodes>
  309. <leafValues>
  310. 5.5734407901763916e-01 -7.4757283926010132e-01</leafValues></_>
  311. <_>
  312. <internalNodes>
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  314. <leafValues>
  315. -3.9223381876945496e-01 5.5961626768112183e-01</leafValues></_>
  316. <_>
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  318. 0 -1 94 7.9423858551308513e-05</internalNodes>
  319. <leafValues>
  320. 3.9795845746994019e-01 -7.4542719125747681e-01</leafValues></_>
  321. <_>
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  324. <leafValues>
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  326. <_>
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  329. <leafValues>
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  331. <_>
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  336. <!-- stage 10 -->
  337. <_>
  338. <maxWeakCount>7</maxWeakCount>
  339. <stageThreshold>-4.2552766203880310e-01</stageThreshold>
  340. <weakClassifiers>
  341. <_>
  342. <internalNodes>
  343. 0 -1 119 9.2608337581623346e-05</internalNodes>
  344. <leafValues>
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  346. <_>
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  349. <leafValues>
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  351. <_>
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  354. <leafValues>
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  356. <_>
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  361. <_>
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  364. <leafValues>
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  366. <_>
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  371. <_>
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  376. <!-- stage 11 -->
  377. <_>
  378. <maxWeakCount>9</maxWeakCount>
  379. <stageThreshold>-1.1347165107727051e+00</stageThreshold>
  380. <weakClassifiers>
  381. <_>
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  384. <leafValues>
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  386. <_>
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  391. <_>
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  396. <_>
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  401. <_>
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  406. <_>
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  409. <leafValues>
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  411. <_>
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  416. <_>
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  419. <leafValues>
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  421. <_>
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  424. <leafValues>
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  426. <!-- stage 12 -->
  427. <_>
  428. <maxWeakCount>7</maxWeakCount>
  429. <stageThreshold>-9.9081629514694214e-01</stageThreshold>
  430. <weakClassifiers>
  431. <_>
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  434. <leafValues>
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  436. <_>
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  439. <leafValues>
  440. 5.0745302438735962e-01 -4.0581086277961731e-01</leafValues></_>
  441. <_>
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  444. <leafValues>
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  446. <_>
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  451. <_>
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  456. <_>
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  461. <_>
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  466. <!-- stage 13 -->
  467. <_>
  468. <maxWeakCount>9</maxWeakCount>
  469. <stageThreshold>-9.4170409440994263e-01</stageThreshold>
  470. <weakClassifiers>
  471. <_>
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  476. <_>
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  481. <_>
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  486. <_>
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