Nickiel/WGU-Capstone
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity
WGU-Capstone/cascades/cascade_10.xml

3289 lines
90 KiB
XML
Raw Normal View History

removed OpenCV cascades and replaced with generated
2023-10-09 18:09:04 -07:00
<?xml version="1.0"?>
<opencv_storage>
<cascade>
<stageType>BOOST</stageType>
<featureType>HAAR</featureType>
<height>18</height>
<width>25</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>0</maxCatCount>
<featSize>1</featSize>
<mode>BASIC</mode></featureParams>
<stageNum>15</stageNum>
<stages>
<!-- stage 0 -->
<_>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>-1.6868457198143005e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 175 -3.7598192691802979e-02</internalNodes>
<leafValues>
-8.7012988328933716e-01 7.8779512643814087e-01</leafValues></_>
<_>
<internalNodes>
0 -1 117 -1.4774274080991745e-02</internalNodes>
<leafValues>
7.0144528150558472e-01 -6.8991988897323608e-01</leafValues></_></weakClassifiers></_>
<!-- stage 1 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>-5.0032949447631836e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 184 -4.2711000889539719e-02</internalNodes>
<leafValues>
-6.8865180015563965e-01 7.4379301071166992e-01</leafValues></_>
<_>
<internalNodes>
0 -1 195 9.1122165322303772e-03</internalNodes>
<leafValues>
-5.0284850597381592e-01 6.6858035326004028e-01</leafValues></_>
<_>
<internalNodes>
0 -1 21 2.4579036980867386e-02</internalNodes>
<leafValues>
-4.8025807738304138e-01 7.2465664148330688e-01</leafValues></_></weakClassifiers></_>
<!-- stage 2 -->
<_>
<maxWeakCount>7</maxWeakCount>
<stageThreshold>-1.1185054779052734e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 112 -5.1424708217382431e-03</internalNodes>
<leafValues>
6.3082081079483032e-01 -5.8869612216949463e-01</leafValues></_>
<_>
<internalNodes>
0 -1 3 3.9306562393903732e-02</internalNodes>
<leafValues>
-3.7456578016281128e-01 6.8982923030853271e-01</leafValues></_>
<_>
<internalNodes>
0 -1 192 2.3071805015206337e-02</internalNodes>
<leafValues>
-4.3582010269165039e-01 6.2532150745391846e-01</leafValues></_>
<_>
<internalNodes>
0 -1 31 -1.0136091150343418e-02</internalNodes>
<leafValues>
4.2846184968948364e-01 -4.7344121336936951e-01</leafValues></_>
<_>
<internalNodes>
0 -1 146 -3.0996035784482956e-02</internalNodes>
<leafValues>
-6.7286914587020874e-01 2.2563922405242920e-01</leafValues></_>
<_>
<internalNodes>
0 -1 164 -5.0192349590361118e-03</internalNodes>
<leafValues>
5.5856555700302124e-01 -2.8066661953926086e-01</leafValues></_>
<_>
<internalNodes>
0 -1 209 2.9914595186710358e-02</internalNodes>
<leafValues>
-2.5209650397300720e-01 5.9206634759902954e-01</leafValues></_></weakClassifiers></_>
<!-- stage 3 -->
<_>
<maxWeakCount>11</maxWeakCount>
<stageThreshold>-1.1386967897415161e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 98 1.8035171553492546e-02</internalNodes>
<leafValues>
-2.5096952915191650e-01 6.8101263046264648e-01</leafValues></_>
<_>
<internalNodes>
0 -1 92 -1.6338989138603210e-02</internalNodes>
<leafValues>
4.2282864451408386e-01 -4.1016519069671631e-01</leafValues></_>
<_>
<internalNodes>
0 -1 60 -5.9984289109706879e-02</internalNodes>
<leafValues>
4.6576857566833496e-01 -3.3837425708770752e-01</leafValues></_>
<_>
<internalNodes>
0 -1 202 1.2610184960067272e-02</internalNodes>
<leafValues>
-3.9994302392005920e-01 4.2543157935142517e-01</leafValues></_>
<_>
<internalNodes>
0 -1 130 9.7354575991630554e-03</internalNodes>
<leafValues>
-2.2042134404182434e-01 6.9760769605636597e-01</leafValues></_>
<_>
<internalNodes>
0 -1 52 -1.7390141263604164e-02</internalNodes>
<leafValues>
3.0729624629020691e-01 -5.4616475105285645e-01</leafValues></_>
<_>
<internalNodes>
0 -1 170 -2.2129826247692108e-02</internalNodes>
<leafValues>
-6.8327510356903076e-01 2.2463890910148621e-01</leafValues></_>
<_>
<internalNodes>
0 -1 6 -4.9218337517231703e-04</internalNodes>
<leafValues>
-7.4061655998229980e-01 1.4326483011245728e-01</leafValues></_>
<_>
<internalNodes>
0 -1 6 3.5125881549902260e-04</internalNodes>
<leafValues>
2.4578163027763367e-01 -5.9650701284408569e-01</leafValues></_>
<_>
<internalNodes>
0 -1 22 7.4513077735900879e-02</internalNodes>
<leafValues>
-2.3230187594890594e-01 6.1253684759140015e-01</leafValues></_>
<_>
<internalNodes>
0 -1 220 -2.4851556867361069e-02</internalNodes>
<leafValues>
6.4836436510086060e-01 -1.7941676080226898e-01</leafValues></_></weakClassifiers></_>
<!-- stage 4 -->
<_>
<maxWeakCount>12</maxWeakCount>
<stageThreshold>-1.0841637849807739e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 24 1.6224004328250885e-02</internalNodes>
<leafValues>
-2.3265619575977325e-01 6.4813941717147827e-01</leafValues></_>
<_>
<internalNodes>
0 -1 42 -1.3925513252615929e-02</internalNodes>
<leafValues>
4.7540360689163208e-01 -3.6651331186294556e-01</leafValues></_>
<_>
<internalNodes>
0 -1 195 1.1745131574571133e-02</internalNodes>
<leafValues>
-4.3820339441299438e-01 4.0496018528938293e-01</leafValues></_>
<_>
<internalNodes>
0 -1 47 -4.9762569367885590e-02</internalNodes>
<leafValues>
4.0204957127571106e-01 -3.4145647287368774e-01</leafValues></_>
<_>
<internalNodes>
0 -1 105 -8.2640601322054863e-03</internalNodes>
<leafValues>
3.6356040835380554e-01 -3.4708330035209656e-01</leafValues></_>
<_>
<internalNodes>
0 -1 111 -1.7480987589806318e-03</internalNodes>
<leafValues>
2.8757932782173157e-01 -4.3804806470870972e-01</leafValues></_>
<_>
<internalNodes>
0 -1 62 1.5243104659020901e-02</internalNodes>
<leafValues>
-2.3538228869438171e-01 5.1668351888656616e-01</leafValues></_>
<_>
<internalNodes>
0 -1 167 -1.4597665518522263e-02</internalNodes>
<leafValues>
-9.3161576986312866e-01 1.2255810946226120e-01</leafValues></_>
<_>
<internalNodes>
0 -1 106 -8.9342087507247925e-02</internalNodes>
<leafValues>
1.7061127722263336e-01 -6.2453079223632813e-01</leafValues></_>
<_>
<internalNodes>
0 -1 2 -1.2559331953525543e-03</internalNodes>
<leafValues>
-6.3101541996002197e-01 1.6273117065429688e-01</leafValues></_>
<_>
<internalNodes>
0 -1 214 1.8503163009881973e-02</internalNodes>
<leafValues>
-2.7973791956901550e-01 3.9275774359703064e-01</leafValues></_>
<_>
<internalNodes>
0 -1 78 -5.0661722198128700e-03</internalNodes>
<leafValues>
3.5244455933570862e-01 -2.8554484248161316e-01</leafValues></_></weakClassifiers></_>
<!-- stage 5 -->
<_>
<maxWeakCount>14</maxWeakCount>
<stageThreshold>-1.2103713750839233e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 121 -7.5522474944591522e-03</internalNodes>
<leafValues>
5.5940335988998413e-01 -2.6024737954139709e-01</leafValues></_>
<_>
<internalNodes>
0 -1 129 -2.8900653123855591e-02</internalNodes>
<leafValues>
5.6012743711471558e-01 -2.8114962577819824e-01</leafValues></_>
<_>
<internalNodes>
0 -1 228 -7.5511275790631771e-03</internalNodes>
<leafValues>
6.2492948770523071e-01 -2.0554891228675842e-01</leafValues></_>
<_>
<internalNodes>
0 -1 57 4.8742131330072880e-03</internalNodes>
<leafValues>
-2.4222187697887421e-01 5.1343572139739990e-01</leafValues></_>
<_>
<internalNodes>
0 -1 124 -9.5892008394002914e-03</internalNodes>
<leafValues>
4.1659855842590332e-01 -2.7780479192733765e-01</leafValues></_>
<_>
<internalNodes>
0 -1 201 4.8940097913146019e-03</internalNodes>
<leafValues>
-4.1939532756805420e-01 2.5428959727287292e-01</leafValues></_>
<_>
<internalNodes>
0 -1 7 5.9839352965354919e-02</internalNodes>
<leafValues>
-1.9293318688869476e-01 5.2590322494506836e-01</leafValues></_>
<_>
<internalNodes>
0 -1 225 7.1796867996454239e-04</internalNodes>
<leafValues>
1.3978934288024902e-01 -6.7470371723175049e-01</leafValues></_>
<_>
<internalNodes>
0 -1 55 -2.2566583007574081e-02</internalNodes>
<leafValues>
1.7992544174194336e-01 -4.4382494688034058e-01</leafValues></_>
<_>
<internalNodes>
0 -1 120 -3.3030316699296236e-03</internalNodes>
<leafValues>
2.1363683044910431e-01 -4.1608038544654846e-01</leafValues></_>
<_>
<internalNodes>
0 -1 142 1.1634809896349907e-02</internalNodes>
<leafValues>
-1.4047352969646454e-01 5.6982821226119995e-01</leafValues></_>
<_>
<internalNodes>
0 -1 89 9.8962169140577316e-03</internalNodes>
<leafValues>
-1.9059793651103973e-01 5.1645529270172119e-01</leafValues></_>
<_>
<internalNodes>
0 -1 0 6.0806132387369871e-04</internalNodes>
<leafValues>
1.6448043286800385e-01 -6.1158418655395508e-01</leafValues></_>
<_>
<internalNodes>
0 -1 0 -5.4053060011938214e-04</internalNodes>
<leafValues>
-7.3838889598846436e-01 1.6946381330490112e-01</leafValues></_></weakClassifiers></_>
<!-- stage 6 -->
<_>
<maxWeakCount>15</maxWeakCount>
<stageThreshold>-1.2191966772079468e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 149 -3.4982562065124512e-02</internalNodes>
<leafValues>
4.7549894452095032e-01 -6.7648577690124512e-01</leafValues></_>
<_>
<internalNodes>
0 -1 217 -4.5128822326660156e-02</internalNodes>
<leafValues>
6.0299789905548096e-01 -2.5153255462646484e-01</leafValues></_>
<_>
<internalNodes>
0 -1 226 8.4007426630705595e-04</internalNodes>
<leafValues>
1.9844703376293182e-01 -6.6446429491043091e-01</leafValues></_>
<_>
<internalNodes>
0 -1 35 3.5605043172836304e-02</internalNodes>
<leafValues>
-2.4590155482292175e-01 5.0636011362075806e-01</leafValues></_>
<_>
<internalNodes>
0 -1 190 5.1889970898628235e-02</internalNodes>
<leafValues>
-2.5548279285430908e-01 3.7790960073471069e-01</leafValues></_>
<_>
<internalNodes>
0 -1 154 -6.9636432453989983e-03</internalNodes>
<leafValues>
4.8963621258735657e-01 -2.1353429555892944e-01</leafValues></_>
<_>
<internalNodes>
0 -1 114 -1.7261750763282180e-03</internalNodes>
<leafValues>
1.7249129712581635e-01 -5.1967889070510864e-01</leafValues></_>
<_>
<internalNodes>
0 -1 238 1.4286016812548041e-03</internalNodes>
<leafValues>
1.1175253242254257e-01 -8.4749811887741089e-01</leafValues></_>
<_>
<internalNodes>
0 -1 238 -3.9176948484964669e-04</internalNodes>
<leafValues>
-5.9845483303070068e-01 1.6154611110687256e-01</leafValues></_>
<_>
<internalNodes>
0 -1 133 2.9978663660585880e-03</internalNodes>
<leafValues>
-4.1139808297157288e-01 1.9932869076728821e-01</leafValues></_>
<_>
<internalNodes>
0 -1 156 -5.7047139853239059e-03</internalNodes>
<leafValues>
1.1789155751466751e-01 -6.3572132587432861e-01</leafValues></_>
<_>
<internalNodes>
0 -1 44 -2.6187032461166382e-02</internalNodes>
<leafValues>
3.2547056674957275e-01 -2.7373364567756653e-01</leafValues></_>
<_>
<internalNodes>
0 -1 176 5.1166880875825882e-03</internalNodes>
<leafValues>
1.3555079698562622e-01 -5.9067767858505249e-01</leafValues></_>
<_>
<internalNodes>
0 -1 41 -2.8681606054306030e-03</internalNodes>
<leafValues>
-5.8300912380218506e-01 1.3690978288650513e-01</leafValues></_>
<_>
<internalNodes>
0 -1 174 -8.8680423796176910e-03</internalNodes>
<leafValues>
-7.6897871494293213e-01 9.8397351801395416e-02</leafValues></_></weakClassifiers></_>
<!-- stage 7 -->
<_>
<maxWeakCount>19</maxWeakCount>
<stageThreshold>-1.1100487709045410e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 233 -7.5816214084625244e-03</internalNodes>
<leafValues>
6.3947749137878418e-01 -1.7008798196911812e-02</leafValues></_>
<_>
<internalNodes>
0 -1 56 3.5076148808002472e-02</internalNodes>
<leafValues>
-1.2175676971673965e-01 6.5229606628417969e-01</leafValues></_>
<_>
<internalNodes>
0 -1 81 -4.7899456694722176e-03</internalNodes>
<leafValues>
3.5688105225563049e-01 -3.0423039197921753e-01</leafValues></_>
<_>
<internalNodes>
0 -1 111 -3.5182496067136526e-03</internalNodes>
<leafValues>
2.0744046568870544e-01 -3.8573962450027466e-01</leafValues></_>
<_>
<internalNodes>
0 -1 237 6.4539560116827488e-04</internalNodes>
<leafValues>
1.2593922019004822e-01 -6.4375019073486328e-01</leafValues></_>
<_>
<internalNodes>
0 -1 237 -2.8322369325906038e-04</internalNodes>
<leafValues>
-4.7876623272895813e-01 1.9661204516887665e-01</leafValues></_>
<_>
<internalNodes>
0 -1 177 -1.3765464536845684e-02</internalNodes>
<leafValues>
-8.6552697420120239e-01 6.9342397153377533e-02</leafValues></_>
<_>
<internalNodes>
0 -1 197 6.5120616927742958e-03</internalNodes>
<leafValues>
-3.3210039138793945e-01 2.5266742706298828e-01</leafValues></_>
<_>
<internalNodes>
0 -1 38 -4.4734377413988113e-02</internalNodes>
<leafValues>
-1.3934895396232605e-01 6.7792695760726929e-01</leafValues></_>
<_>
<internalNodes>
0 -1 79 -2.8649938106536865e-01</internalNodes>
<leafValues>
1.8672835826873779e-01 -5.3607684373855591e-01</leafValues></_>
<_>
<internalNodes>
0 -1 50 -3.2174319028854370e-02</internalNodes>
<leafValues>
5.4610759019851685e-01 -1.5053525567054749e-01</leafValues></_>
<_>
<internalNodes>
0 -1 70 7.8507754951715469e-03</internalNodes>
<leafValues>
-2.4899573624134064e-01 3.9623385667800903e-01</leafValues></_>
<_>
<internalNodes>
0 -1 160 1.1835208162665367e-02</internalNodes>
<leafValues>
1.3053999841213226e-01 -6.9544482231140137e-01</leafValues></_>
<_>
<internalNodes>
0 -1 43 -3.3213297137990594e-04</internalNodes>
<leafValues>
-5.4279714822769165e-01 1.2546768784523010e-01</leafValues></_>
<_>
<internalNodes>
0 -1 75 -1.1080281110480428e-03</internalNodes>
<leafValues>
-6.9575494527816772e-01 8.2469135522842407e-02</leafValues></_>
<_>
<internalNodes>
0 -1 107 1.4145129825919867e-03</internalNodes>
<leafValues>
-3.0485689640045166e-01 2.1571141481399536e-01</leafValues></_>
<_>
<internalNodes>
0 -1 87 1.1918463744223118e-02</internalNodes>
<leafValues>
-1.7551204562187195e-01 4.1796207427978516e-01</leafValues></_>
<_>
<internalNodes>
0 -1 135 1.6459837788715959e-03</internalNodes>
<leafValues>
-3.7576872110366821e-01 1.8016473948955536e-01</leafValues></_>
<_>
<internalNodes>
0 -1 210 -9.5385499298572540e-04</internalNodes>
<leafValues>
-5.5779373645782471e-01 1.0239767283201218e-01</leafValues></_></weakClassifiers></_>
<!-- stage 8 -->
<_>
<maxWeakCount>19</maxWeakCount>
<stageThreshold>-1.0433994531631470e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 35 1.9883338361978531e-02</internalNodes>
<leafValues>
-4.0599003434181213e-02 5.8883118629455566e-01</leafValues></_>
<_>
<internalNodes>
0 -1 220 -2.2385630756616592e-02</internalNodes>
<leafValues>
5.3464162349700928e-01 -1.6570620238780975e-01</leafValues></_>
<_>
<internalNodes>
0 -1 36 9.4273492693901062e-02</internalNodes>
<leafValues>
-2.1142536401748657e-01 4.6140950918197632e-01</leafValues></_>
<_>
<internalNodes>
0 -1 205 2.1705159917473793e-02</internalNodes>
<leafValues>
-2.1730461716651917e-01 4.2853245139122009e-01</leafValues></_>
<_>
<internalNodes>
0 -1 147 -5.4064452648162842e-02</internalNodes>
<leafValues>
-4.4727575778961182e-01 2.1056492626667023e-01</leafValues></_>
<_>
<internalNodes>
0 -1 158 1.1935794726014137e-02</internalNodes>
<leafValues>
-2.1343331038951874e-01 4.3803662061691284e-01</leafValues></_>
<_>
<internalNodes>
0 -1 116 -2.2761386353522539e-03</internalNodes>
<leafValues>
1.2625594437122345e-01 -7.2616368532180786e-01</leafValues></_>
<_>
<internalNodes>
0 -1 164 -5.1142573356628418e-03</internalNodes>
<leafValues>
4.0240046381950378e-01 -2.1794685721397400e-01</leafValues></_>
<_>
<internalNodes>
0 -1 19 8.4409071132540703e-04</internalNodes>
<leafValues>
1.8949872255325317e-01 -5.0981438159942627e-01</leafValues></_>
<_>
<internalNodes>
0 -1 18 -4.1744901682250202e-04</internalNodes>
<leafValues>
-5.6005567312240601e-01 1.6787739098072052e-01</leafValues></_>
<_>
<internalNodes>
0 -1 100 -6.1888992786407471e-04</internalNodes>
<leafValues>
2.9318210482597351e-01 -2.5093272328376770e-01</leafValues></_>
<_>
<internalNodes>
0 -1 138 -3.3185845240950584e-03</internalNodes>
<leafValues>
2.1555666625499725e-01 -3.3801335096359253e-01</leafValues></_>
<_>
<internalNodes>
0 -1 58 3.4354901872575283e-03</internalNodes>
<leafValues>
-1.5912120044231415e-01 4.1923677921295166e-01</leafValues></_>
<_>
<internalNodes>
0 -1 235 7.5575767550617456e-04</internalNodes>
<leafValues>
1.4463087916374207e-01 -4.6691066026687622e-01</leafValues></_>
<_>
<internalNodes>
0 -1 218 -4.4568851590156555e-03</internalNodes>
<leafValues>
4.7833889722824097e-01 -1.4307603240013123e-01</leafValues></_>
<_>
<internalNodes>
0 -1 150 -2.1323060616850853e-02</internalNodes>
<leafValues>
-7.5451827049255371e-01 9.9726438522338867e-02</leafValues></_>
<_>
<internalNodes>
0 -1 224 1.3908105902373791e-03</internalNodes>
<leafValues>
1.1214723438024521e-01 -5.0507450103759766e-01</leafValues></_>
<_>
<internalNodes>
0 -1 108 -4.2752129957079887e-03</internalNodes>
<leafValues>
2.2626134753227234e-01 -2.8747943043708801e-01</leafValues></_>
<_>
<internalNodes>
0 -1 200 2.4024929851293564e-02</internalNodes>
<leafValues>
-2.3494926095008850e-01 2.8246262669563293e-01</leafValues></_></weakClassifiers></_>
<!-- stage 9 -->
<_>
<maxWeakCount>24</maxWeakCount>
<stageThreshold>-1.0990548133850098e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 63 5.7486426085233688e-03</internalNodes>
<leafValues>
1.4347202377393842e-03 5.7563531398773193e-01</leafValues></_>
<_>
<internalNodes>
0 -1 59 -6.9883450865745544e-02</internalNodes>
<leafValues>
3.6628034710884094e-01 -2.2817586362361908e-01</leafValues></_>
<_>
<internalNodes>
0 -1 54 -1.5057396143674850e-02</internalNodes>
<leafValues>
3.8246142864227295e-01 -2.4371767044067383e-01</leafValues></_>
<_>
<internalNodes>
0 -1 229 8.6196437478065491e-03</internalNodes>
<leafValues>
-2.0443600416183472e-01 5.7419866323471069e-01</leafValues></_>
<_>
<internalNodes>
0 -1 122 -4.3718013912439346e-03</internalNodes>
<leafValues>
2.5440439581871033e-01 -3.4436362981796265e-01</leafValues></_>
<_>
<internalNodes>
0 -1 231 -3.6725420504808426e-03</internalNodes>
<leafValues>
5.4546618461608887e-01 -1.3702708482742310e-01</leafValues></_>
<_>
<internalNodes>
0 -1 61 -4.5138801215216517e-04</internalNodes>
<leafValues>
-5.9939944744110107e-01 1.2508809566497803e-01</leafValues></_>
<_>
<internalNodes>
0 -1 91 -2.9878187179565430e-01</internalNodes>
<leafValues>
7.7187262475490570e-02 -8.6292326450347900e-01</leafValues></_>
<_>
<internalNodes>
0 -1 139 -2.9550027102231979e-02</internalNodes>
<leafValues>
-7.9422134160995483e-01 8.1087931990623474e-02</leafValues></_>
<_>
<internalNodes>
0 -1 8 -8.6029485100880265e-04</internalNodes>
<leafValues>
-7.1740579605102539e-01 8.5272341966629028e-02</leafValues></_>
<_>
<internalNodes>
0 -1 8 3.7829804932698607e-04</internalNodes>
<leafValues>
1.5035222470760345e-01 -5.0257134437561035e-01</leafValues></_>
<_>
<internalNodes>
0 -1 125 -4.8284251242876053e-03</internalNodes>
<leafValues>
1.9938601553440094e-01 -3.1375950574874878e-01</leafValues></_>
<_>
<internalNodes>
0 -1 12 5.8330640196800232e-02</internalNodes>
<leafValues>
-1.6356170177459717e-01 4.1033014655113220e-01</leafValues></_>
<_>
<internalNodes>
0 -1 245 2.8026895597577095e-03</internalNodes>
<leafValues>
1.0413853824138641e-01 -5.8447855710983276e-01</leafValues></_>
<_>
<internalNodes>
0 -1 216 1.6161918174475431e-03</internalNodes>
<leafValues>
8.9350827038288116e-02 -6.2583953142166138e-01</leafValues></_>
<_>
<internalNodes>
0 -1 203 1.2988763628527522e-03</internalNodes>
<leafValues>
-3.9094999432563782e-01 1.5162526071071625e-01</leafValues></_>
<_>
<internalNodes>
0 -1 102 -3.0000295955687761e-03</internalNodes>
<leafValues>
1.8238340318202972e-01 -3.8739243149757385e-01</leafValues></_>
<_>
<internalNodes>
0 -1 127 -8.6884394288063049e-02</internalNodes>
<leafValues>
4.7137758135795593e-01 -1.2641975283622742e-01</leafValues></_>
<_>
<internalNodes>
0 -1 155 -3.7721102125942707e-03</internalNodes>
<leafValues>
3.6937066912651062e-01 -1.6041101515293121e-01</leafValues></_>
<_>
<internalNodes>
0 -1 144 -2.0672222599387169e-02</internalNodes>
<leafValues>
-7.6594769954681396e-01 7.9550251364707947e-02</leafValues></_>
<_>
<internalNodes>
0 -1 94 3.5020557697862387e-03</internalNodes>
<leafValues>
-2.0496177673339844e-01 2.9261571168899536e-01</leafValues></_>
<_>
<internalNodes>
0 -1 61 6.6966796293854713e-04</internalNodes>
<leafValues>
1.3681337237358093e-01 -4.8937559127807617e-01</leafValues></_>
<_>
<internalNodes>
0 -1 51 -1.4513589441776276e-02</internalNodes>
<leafValues>
4.9781340360641479e-01 -1.1453721672296524e-01</leafValues></_>
<_>
<internalNodes>
0 -1 68 -6.2045529484748840e-03</internalNodes>
<leafValues>
3.8833296298980713e-01 -1.5096007287502289e-01</leafValues></_></weakClassifiers></_>
<!-- stage 10 -->
<_>
<maxWeakCount>26</maxWeakCount>
<stageThreshold>-1.0638744831085205e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 123 -8.9781936258077621e-03</internalNodes>
<leafValues>
6.1682718992233276e-01 1.9064599648118019e-02</leafValues></_>
<_>
<internalNodes>
0 -1 227 -3.4275908023118973e-02</internalNodes>
<leafValues>
5.3748869895935059e-01 -1.3695895671844482e-01</leafValues></_>
<_>
<internalNodes>
0 -1 5 -1.3917407020926476e-02</internalNodes>
<leafValues>
1.9763107597827911e-01 -3.6260268092155457e-01</leafValues></_>
<_>
<internalNodes>
0 -1 208 3.6600410938262939e-02</internalNodes>
<leafValues>
-2.5028914213180542e-01 2.9632854461669922e-01</leafValues></_>
<_>
<internalNodes>
0 -1 17 6.1828523874282837e-02</internalNodes>
<leafValues>
-2.0875646173954010e-01 3.3872348070144653e-01</leafValues></_>
<_>
<internalNodes>
0 -1 16 9.7319774795323610e-04</internalNodes>
<leafValues>
1.0398419201374054e-01 -5.2304130792617798e-01</leafValues></_>
<_>
<internalNodes>
0 -1 15 -1.1988903861492872e-03</internalNodes>
<leafValues>
-5.5408465862274170e-01 1.2738655507564545e-01</leafValues></_>
<_>
<internalNodes>
0 -1 71 -9.0454127639532089e-03</internalNodes>
<leafValues>
5.1517385244369507e-01 -1.3551075756549835e-01</leafValues></_>
<_>
<internalNodes>
0 -1 99 -3.2375259324908257e-03</internalNodes>
<leafValues>
2.3810745775699615e-01 -3.2959267497062683e-01</leafValues></_>
<_>
<internalNodes>
0 -1 128 -7.2708353400230408e-05</internalNodes>
<leafValues>
1.5046596527099609e-01 -4.7025871276855469e-01</leafValues></_>
<_>
<internalNodes>
0 -1 186 -2.6102807372808456e-02</internalNodes>
<leafValues>
-7.6044988632202148e-01 7.6248556375503540e-02</leafValues></_>
<_>
<internalNodes>
0 -1 166 -8.2794334739446640e-03</internalNodes>
<leafValues>
8.6576297879219055e-02 -7.1199887990951538e-01</leafValues></_>
<_>
<internalNodes>
0 -1 75 4.4119165977463126e-04</internalNodes>
<leafValues>
1.3495095074176788e-01 -4.6229624748229980e-01</leafValues></_>
<_>
<internalNodes>
0 -1 196 9.9225901067256927e-03</internalNodes>
<leafValues>
-2.7355343103408813e-01 2.3872569203376770e-01</leafValues></_>
<_>
<internalNodes>
0 -1 88 1.3279203325510025e-02</internalNodes>
<leafValues>
-1.8540169298648834e-01 3.5042268037796021e-01</leafValues></_>
<_>
<internalNodes>
0 -1 77 -3.7285979837179184e-02</internalNodes>
<leafValues>
1.8865172564983368e-01 -3.1624957919120789e-01</leafValues></_>
<_>
<internalNodes>
0 -1 148 4.9757594242691994e-03</internalNodes>
<leafValues>
-1.6288563609123230e-01 3.8264438509941101e-01</leafValues></_>
<_>
<internalNodes>
0 -1 215 8.3667295984923840e-04</internalNodes>
<leafValues>
1.2142773717641830e-01 -5.1823806762695313e-01</leafValues></_>
<_>
<internalNodes>
0 -1 69 8.4959771484136581e-03</internalNodes>
<leafValues>
-1.5907596051692963e-01 3.8065356016159058e-01</leafValues></_>
<_>
<internalNodes>
0 -1 26 -1.9100125879049301e-02</internalNodes>
<leafValues>
-9.2283964157104492e-02 5.9107613563537598e-01</leafValues></_>
<_>
<internalNodes>
0 -1 183 -1.1232864111661911e-02</internalNodes>
<leafValues>
-8.1293118000030518e-01 7.0564582943916321e-02</leafValues></_>
<_>
<internalNodes>
0 -1 176 6.9943154230713844e-03</internalNodes>
<leafValues>
6.9067403674125671e-02 -6.9774067401885986e-01</leafValues></_>
<_>
<internalNodes>
0 -1 219 -2.7843732386827469e-03</internalNodes>
<leafValues>
3.7838694453239441e-01 -1.5047514438629150e-01</leafValues></_>
<_>
<internalNodes>
0 -1 136 2.9313992708921432e-03</internalNodes>
<leafValues>
-2.2071592509746552e-01 2.5605797767639160e-01</leafValues></_>
<_>
<internalNodes>
0 -1 6 -6.2580616213381290e-04</internalNodes>
<leafValues>
-6.0483169555664063e-01 9.5498502254486084e-02</leafValues></_>
<_>
<internalNodes>
0 -1 1 4.4159943354316056e-04</internalNodes>
<leafValues>
1.4143539965152740e-01 -3.9461976289749146e-01</leafValues></_></weakClassifiers></_>
<!-- stage 11 -->
<_>
<maxWeakCount>23</maxWeakCount>
<stageThreshold>-9.9415957927703857e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 10 3.6591231822967529e-02</internalNodes>
<leafValues>
-1.8849207088351250e-02 5.4509913921356201e-01</leafValues></_>
<_>
<internalNodes>
0 -1 188 4.4260807335376740e-03</internalNodes>
<leafValues>
-2.2260192036628723e-01 3.3479171991348267e-01</leafValues></_>
<_>
<internalNodes>
0 -1 118 -7.9297155141830444e-02</internalNodes>
<leafValues>
4.0090188384056091e-01 -1.9275194406509399e-01</leafValues></_>
<_>
<internalNodes>
0 -1 230 -7.8463554382324219e-03</internalNodes>
<leafValues>
5.0931841135025024e-01 -1.8309663236141205e-01</leafValues></_>
<_>
<internalNodes>
0 -1 239 2.0676599815487862e-03</internalNodes>
<leafValues>
1.0004055500030518e-01 -5.7311040163040161e-01</leafValues></_>
<_>
<internalNodes>
0 -1 241 -9.3296892009675503e-04</internalNodes>
<leafValues>
-5.0586771965026855e-01 1.4779038727283478e-01</leafValues></_>
<_>
<internalNodes>
0 -1 236 -7.4070952832698822e-03</internalNodes>
<leafValues>
4.8851364850997925e-01 -1.3595668971538544e-01</leafValues></_>
<_>
<internalNodes>
0 -1 115 2.5911130942404270e-03</internalNodes>
<leafValues>
9.2634655535221100e-02 -7.4585777521133423e-01</leafValues></_>
<_>
<internalNodes>
0 -1 57 6.0429340228438377e-03</internalNodes>
<leafValues>
-1.7520543932914734e-01 3.7037315964698792e-01</leafValues></_>
<_>
<internalNodes>
0 -1 187 -3.4544374793767929e-03</internalNodes>
<leafValues>
8.6231887340545654e-02 -8.5824441909790039e-01</leafValues></_>
<_>
<internalNodes>
0 -1 109 3.4101329743862152e-02</internalNodes>
<leafValues>
6.8680390715599060e-02 -7.1488726139068604e-01</leafValues></_>
<_>
<internalNodes>
0 -1 234 1.4093355275690556e-03</internalNodes>
<leafValues>
1.0581517219543457e-01 -4.8496896028518677e-01</leafValues></_>
<_>
<internalNodes>
0 -1 134 2.6030819863080978e-03</internalNodes>
<leafValues>
-4.0259683132171631e-01 1.3370302319526672e-01</leafValues></_>
<_>
<internalNodes>
0 -1 4 -4.8480555415153503e-03</internalNodes>
<leafValues>
-5.9301269054412842e-01 8.3522066473960876e-02</leafValues></_>
<_>
<internalNodes>
0 -1 45 4.9184961244463921e-03</internalNodes>
<leafValues>
1.0301360487937927e-01 -5.0115150213241577e-01</leafValues></_>
<_>
<internalNodes>
0 -1 96 -3.0930392444133759e-02</internalNodes>
<leafValues>
-8.3226293325424194e-01 6.3098378479480743e-02</leafValues></_>
<_>
<internalNodes>
0 -1 191 9.6077509224414825e-03</internalNodes>
<leafValues>
5.4211020469665527e-02 -8.1758719682693481e-01</leafValues></_>
<_>
<internalNodes>
0 -1 171 -9.1889873147010803e-03</internalNodes>
<leafValues>
2.2223460674285889e-01 -2.4946354329586029e-01</leafValues></_>
<_>
<internalNodes>
0 -1 84 -1.9909065216779709e-02</internalNodes>
<leafValues>
-9.6766018867492676e-01 5.4336462169885635e-02</leafValues></_>
<_>
<internalNodes>
0 -1 13 4.6964685316197574e-04</internalNodes>
<leafValues>
1.1881309747695923e-01 -4.1188776493072510e-01</leafValues></_>
<_>
<internalNodes>
0 -1 9 2.9594553634524345e-03</internalNodes>
<leafValues>
1.1815422773361206e-01 -4.7057583928108215e-01</leafValues></_>
<_>
<internalNodes>
0 -1 103 2.8351511806249619e-02</internalNodes>
<leafValues>
5.9645012021064758e-02 -7.7243673801422119e-01</leafValues></_>
<_>
<internalNodes>
0 -1 64 -2.1964345127344131e-02</internalNodes>
<leafValues>
3.8935226202011108e-01 -1.4268790185451508e-01</leafValues></_></weakClassifiers></_>
<!-- stage 12 -->
<_>
<maxWeakCount>30</maxWeakCount>
<stageThreshold>-1.0455241203308105e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 86 -4.3889679014682770e-02</internalNodes>
<leafValues>
5.9956437349319458e-01 6.3238538801670074e-02</leafValues></_>
<_>
<internalNodes>
0 -1 76 9.6213733777403831e-03</internalNodes>
<leafValues>
-1.9285517930984497e-01 3.3641174435615540e-01</leafValues></_>
<_>
<internalNodes>
0 -1 104 -1.3180011883378029e-02</internalNodes>
<leafValues>
2.4638003110885620e-01 -3.0349764227867126e-01</leafValues></_>
<_>
<internalNodes>
0 -1 53 -1.4025264419615269e-02</internalNodes>
<leafValues>
3.4723660349845886e-01 -2.0938709378242493e-01</leafValues></_>
<_>
<internalNodes>
0 -1 206 -4.1229330003261566e-02</internalNodes>
<leafValues>
5.8094668388366699e-01 -1.6607977449893951e-01</leafValues></_>
<_>
<internalNodes>
0 -1 204 1.0466278530657291e-02</internalNodes>
<leafValues>
-2.6507142186164856e-01 2.9973298311233521e-01</leafValues></_>
<_>
<internalNodes>
0 -1 39 -5.9674801304936409e-03</internalNodes>
<leafValues>
-6.3150471448898315e-01 1.1329296231269836e-01</leafValues></_>
<_>
<internalNodes>
0 -1 97 -1.5862818807363510e-02</internalNodes>
<leafValues>
-7.0158958435058594e-01 6.7180246114730835e-02</leafValues></_>
<_>
<internalNodes>
0 -1 213 -2.6202036533504725e-03</internalNodes>
<leafValues>
3.7673100829124451e-01 -1.4581179618835449e-01</leafValues></_>
<_>
<internalNodes>
0 -1 29 -4.9043388571590185e-04</internalNodes>
<leafValues>
-5.1006966829299927e-01 1.1729472130537033e-01</leafValues></_>
<_>
<internalNodes>
0 -1 28 -5.5961566977202892e-04</internalNodes>
<leafValues>
-5.6171196699142456e-01 9.7607247531414032e-02</leafValues></_>
<_>
<internalNodes>
0 -1 32 4.4938828796148300e-04</internalNodes>
<leafValues>
1.2852628529071808e-01 -4.1563081741333008e-01</leafValues></_>
<_>
<internalNodes>
0 -1 46 2.0014116540551186e-02</internalNodes>
<leafValues>
-2.8168585896492004e-01 2.0971830189228058e-01</leafValues></_>
<_>
<internalNodes>
0 -1 90 -4.0192943997681141e-03</internalNodes>
<leafValues>
1.6972355544567108e-01 -3.0446305871009827e-01</leafValues></_>
<_>
<internalNodes>
0 -1 74 5.6435214355587959e-03</internalNodes>
<leafValues>
-1.0660176724195480e-01 4.5627915859222412e-01</leafValues></_>
<_>
<internalNodes>
0 -1 73 -1.9229382742196321e-03</internalNodes>
<leafValues>
3.9735233783721924e-01 -1.4816205203533173e-01</leafValues></_>
<_>
<internalNodes>
0 -1 242 2.1986518986523151e-03</internalNodes>
<leafValues>
1.1150580644607544e-01 -5.0328165292739868e-01</leafValues></_>
<_>
<internalNodes>
0 -1 162 6.1367684975266457e-03</internalNodes>
<leafValues>
-1.6874304413795471e-01 2.8835448622703552e-01</leafValues></_>
<_>
<internalNodes>
0 -1 178 5.1481085829436779e-03</internalNodes>
<leafValues>
1.2466134130954742e-01 -5.1307517290115356e-01</leafValues></_>
<_>
<internalNodes>
0 -1 172 -1.4199016150087118e-03</internalNodes>
<leafValues>
-4.4226509332656860e-01 1.0287304967641830e-01</leafValues></_>
<_>
<internalNodes>
0 -1 67 -1.1896918527781963e-02</internalNodes>
<leafValues>
4.7514611482620239e-01 -1.1110686510801315e-01</leafValues></_>
<_>
<internalNodes>
0 -1 80 3.4322398714721203e-03</internalNodes>
<leafValues>
-1.3655503094196320e-01 3.8294994831085205e-01</leafValues></_>
<_>
<internalNodes>
0 -1 143 4.1314169764518738e-02</internalNodes>
<leafValues>
-9.5325693488121033e-02 5.8128648996353149e-01</leafValues></_>
<_>
<internalNodes>
0 -1 37 8.9662700891494751e-02</internalNodes>
<leafValues>
-8.2298755645751953e-02 5.3369390964508057e-01</leafValues></_>
<_>
<internalNodes>
0 -1 85 -2.4169152602553368e-03</internalNodes>
<leafValues>
1.1736416816711426e-01 -5.2174830436706543e-01</leafValues></_>
<_>
<internalNodes>
0 -1 179 -3.3260160125792027e-03</internalNodes>
<leafValues>
4.0572799742221832e-02 -9.0023195743560791e-01</leafValues></_>
<_>
<internalNodes>
0 -1 139 -2.6492018252611160e-02</internalNodes>
<leafValues>
-6.1856764554977417e-01 6.6232606768608093e-02</leafValues></_>
<_>
<internalNodes>
0 -1 240 -7.1237108204513788e-04</internalNodes>
<leafValues>
-3.5694497823715210e-01 1.2992641329765320e-01</leafValues></_>
<_>
<internalNodes>
0 -1 33 7.6591884717345238e-03</internalNodes>
<leafValues>
-1.0680140554904938e-01 4.1617304086685181e-01</leafValues></_>
<_>
<internalNodes>
0 -1 182 -5.6771328672766685e-03</internalNodes>
<leafValues>
4.8127564787864685e-01 -9.4602800905704498e-02</leafValues></_></weakClassifiers></_>
<!-- stage 13 -->
<_>
<maxWeakCount>32</maxWeakCount>
<stageThreshold>-1.0351984500885010e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 222 -1.5152664855122566e-02</internalNodes>
<leafValues>
5.2795201539993286e-01 -1.3955071568489075e-02</leafValues></_>
<_>
<internalNodes>
0 -1 119 -1.7690219465293922e-05</internalNodes>
<leafValues>
1.8180966377258301e-01 -3.6866554617881775e-01</leafValues></_>
<_>
<internalNodes>
0 -1 153 -6.2454696744680405e-03</internalNodes>
<leafValues>
3.6472454667091370e-01 -1.8376824259757996e-01</leafValues></_>
<_>
<internalNodes>
0 -1 238 -5.9999985387548804e-04</internalNodes>
<leafValues>
-5.4781574010848999e-01 1.1394499242305756e-01</leafValues></_>
<_>
<internalNodes>
0 -1 238 2.6679923757910728e-04</internalNodes>
<leafValues>
1.4418046176433563e-01 -4.6985816955566406e-01</leafValues></_>
<_>
<internalNodes>
0 -1 209 2.7355216443538666e-02</internalNodes>
<leafValues>
-2.4746395647525787e-01 2.5292816758155823e-01</leafValues></_>
<_>
<internalNodes>
0 -1 95 3.5790745168924332e-03</internalNodes>
<leafValues>
-1.4820544421672821e-01 4.0570017695426941e-01</leafValues></_>
<_>
<internalNodes>
0 -1 82 2.1166831720620394e-03</internalNodes>
<leafValues>
-2.0296798646450043e-01 3.0473563075065613e-01</leafValues></_>
<_>
<internalNodes>
0 -1 20 -2.3288561496883631e-03</internalNodes>
<leafValues>
-5.6256890296936035e-01 9.6440620720386505e-02</leafValues></_>
<_>
<internalNodes>
0 -1 221 5.9537235647439957e-03</internalNodes>
<leafValues>
-1.1282408237457275e-01 4.5291507244110107e-01</leafValues></_>
<_>
<internalNodes>
0 -1 152 1.1845989152789116e-02</internalNodes>
<leafValues>
5.8488208800554276e-02 -8.2495194673538208e-01</leafValues></_>
<_>
<internalNodes>
0 -1 23 9.5373549265787005e-04</internalNodes>
<leafValues>
1.1402937769889832e-01 -4.1717857122421265e-01</leafValues></_>
<_>
<internalNodes>
0 -1 93 -5.8595198206603527e-03</internalNodes>
<leafValues>
4.9842914938926697e-01 -1.1077719181776047e-01</leafValues></_>
<_>
<internalNodes>
0 -1 137 -7.7095609158277512e-03</internalNodes>
<leafValues>
1.5628196299076080e-01 -3.4325107932090759e-01</leafValues></_>
<_>
<internalNodes>
0 -1 151 3.0510630458593369e-02</internalNodes>
<leafValues>
-1.1780720204114914e-01 4.8097270727157593e-01</leafValues></_>
<_>
<internalNodes>
0 -1 141 -6.0571201145648956e-02</internalNodes>
<leafValues>
3.5276216268539429e-01 -1.1994890868663788e-01</leafValues></_>
<_>
<internalNodes>
0 -1 101 -7.0773897459730506e-04</internalNodes>
<leafValues>
2.7548930048942566e-01 -1.6959053277969360e-01</leafValues></_>
<_>
<internalNodes>
0 -1 193 2.3493398912250996e-03</internalNodes>
<leafValues>
8.1900484859943390e-02 -6.3953894376754761e-01</leafValues></_>
<_>
<internalNodes>
0 -1 181 -8.6639402434229851e-03</internalNodes>
<leafValues>
5.8349883556365967e-01 -8.5991054773330688e-02</leafValues></_>
<_>
<internalNodes>
0 -1 157 1.3021571561694145e-02</internalNodes>
<leafValues>
-1.0308064520359039e-01 5.0081920623779297e-01</leafValues></_>
<_>
<internalNodes>
0 -1 140 -5.2984189242124557e-03</internalNodes>
<leafValues>
2.3156601190567017e-01 -2.0959299802780151e-01</leafValues></_>
<_>
<internalNodes>
0 -1 244 -3.5801632329821587e-03</internalNodes>
<leafValues>
-4.5248666405677795e-01 9.6630223095417023e-02</leafValues></_>
<_>
<internalNodes>
0 -1 168 -4.3171262368559837e-03</internalNodes>
<leafValues>
5.1962703466415405e-01 -8.7654739618301392e-02</leafValues></_>
<_>
<internalNodes>
0 -1 132 3.1509261578321457e-02</internalNodes>
<leafValues>
6.6905759274959564e-02 -7.4830746650695801e-01</leafValues></_>
<_>
<internalNodes>
0 -1 212 3.8137522060424089e-03</internalNodes>
<leafValues>
4.5114025473594666e-02 -7.7655237913131714e-01</leafValues></_>
<_>
<internalNodes>
0 -1 185 -1.7075026407837868e-02</internalNodes>
<leafValues>
3.7500724196434021e-02 -8.7823730707168579e-01</leafValues></_>
<_>
<internalNodes>
0 -1 145 -2.1947387605905533e-02</internalNodes>
<leafValues>
-5.3218352794647217e-01 6.8480275571346283e-02</leafValues></_>
<_>
<internalNodes>
0 -1 199 1.2029632925987244e-02</internalNodes>
<leafValues>
-1.5677490830421448e-01 2.7840316295623779e-01</leafValues></_>
<_>
<internalNodes>
0 -1 189 7.7633447945117950e-03</internalNodes>
<leafValues>
9.4010941684246063e-02 -4.7160002589225769e-01</leafValues></_>
<_>
<internalNodes>
0 -1 110 -9.7992201335728168e-04</internalNodes>
<leafValues>
2.8286167979240417e-01 -1.5630421042442322e-01</leafValues></_>
<_>
<internalNodes>
0 -1 237 1.1549084447324276e-03</internalNodes>
<leafValues>
7.0722408592700958e-02 -6.4036989212036133e-01</leafValues></_>
<_>
<internalNodes>
0 -1 211 8.1771370023488998e-03</internalNodes>
<leafValues>
4.6370655298233032e-02 -7.2278302907943726e-01</leafValues></_></weakClassifiers></_>
<!-- stage 14 -->
<_>
<maxWeakCount>36</maxWeakCount>
<stageThreshold>-1.0798616409301758e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 232 -8.8351080194115639e-03</internalNodes>
<leafValues>
5.6251043081283569e-01 5.7059559971094131e-02</leafValues></_>
<_>
<internalNodes>
0 -1 34 -1.2198206037282944e-02</internalNodes>
<leafValues>
2.3505969345569611e-01 -2.6632779836654663e-01</leafValues></_>
<_>
<internalNodes>
0 -1 25 4.0853381156921387e-02</internalNodes>
<leafValues>
-2.2791272401809692e-01 2.5071138143539429e-01</leafValues></_>
<_>
<internalNodes>
0 -1 229 9.9547468125820160e-03</internalNodes>
<leafValues>
-1.0891642421483994e-01 5.1402592658996582e-01</leafValues></_>
<_>
<internalNodes>
0 -1 0 -3.6861433181911707e-04</internalNodes>
<leafValues>
-5.3176528215408325e-01 7.9323127865791321e-02</leafValues></_>
<_>
<internalNodes>
0 -1 0 3.1071793637238443e-04</internalNodes>
<leafValues>
1.1903482675552368e-01 -4.1888803243637085e-01</leafValues></_>
<_>
<internalNodes>
0 -1 83 2.1457346156239510e-03</internalNodes>
<leafValues>
-1.9342949986457825e-01 2.5174131989479065e-01</leafValues></_>
<_>
<internalNodes>
0 -1 173 8.6561497300863266e-04</internalNodes>
<leafValues>
-1.6890695691108704e-01 2.7685239911079407e-01</leafValues></_>
<_>
<internalNodes>
0 -1 161 5.3327390924096107e-03</internalNodes>
<leafValues>
-1.3038623332977295e-01 3.8755819201469421e-01</leafValues></_>
<_>
<internalNodes>
0 -1 159 9.6217459067702293e-03</internalNodes>
<leafValues>
8.3926670253276825e-02 -5.9205418825149536e-01</leafValues></_>
<_>
<internalNodes>
0 -1 131 6.4745335839688778e-03</internalNodes>
<leafValues>
-3.5621979832649231e-01 1.3683852553367615e-01</leafValues></_>
<_>
<internalNodes>
0 -1 241 1.4051464386284351e-03</internalNodes>
<leafValues>
8.2545764744281769e-02 -5.2712506055831909e-01</leafValues></_>
<_>
<internalNodes>
0 -1 126 1.6758790006861091e-03</internalNodes>
<leafValues>
5.9101961553096771e-02 -6.9445687532424927e-01</leafValues></_>
<_>
<internalNodes>
0 -1 165 -4.6920571476221085e-03</internalNodes>
<leafValues>
2.4663107097148895e-01 -1.9123969972133636e-01</leafValues></_>
<_>
<internalNodes>
0 -1 194 -5.7525378651916981e-03</internalNodes>
<leafValues>
-6.0859078168869019e-01 7.4548818171024323e-02</leafValues></_>
<_>
<internalNodes>
0 -1 100 -1.2253700988367200e-03</internalNodes>
<leafValues>
2.5040292739868164e-01 -1.8221500515937805e-01</leafValues></_>
<_>
<internalNodes>
0 -1 14 2.5705397129058838e-03</internalNodes>
<leafValues>
6.0300316661596298e-02 -6.5475445985794067e-01</leafValues></_>
<_>
<internalNodes>
0 -1 223 -2.6378789916634560e-03</internalNodes>
<leafValues>
5.3927618265151978e-01 -8.6848638951778412e-02</leafValues></_>
<_>
<internalNodes>
0 -1 163 -3.1895479187369347e-03</internalNodes>
<leafValues>
1.6840420663356781e-01 -2.7439284324645996e-01</leafValues></_>
<_>
<internalNodes>
0 -1 180 -4.3278383091092110e-03</internalNodes>
<leafValues>
6.2450114637613297e-02 -6.4472192525863647e-01</leafValues></_>
<_>
<internalNodes>
0 -1 58 6.6019091755151749e-03</internalNodes>
<leafValues>
-9.8941922187805176e-02 4.5397675037384033e-01</leafValues></_>
<_>
<internalNodes>
0 -1 65 1.8162243068218231e-02</internalNodes>
<leafValues>
-1.1050114035606384e-01 4.0555804967880249e-01</leafValues></_>
<_>
<internalNodes>
0 -1 49 6.9379862397909164e-03</internalNodes>
<leafValues>
-1.4018510282039642e-01 3.4726780652999878e-01</leafValues></_>
<_>
<internalNodes>
0 -1 243 2.7540447190403938e-03</internalNodes>
<leafValues>
1.0194582492113113e-01 -4.5496910810470581e-01</leafValues></_>
<_>
<internalNodes>
0 -1 30 -1.1165603064000607e-03</internalNodes>
<leafValues>
-4.5518749952316284e-01 9.2749334871768951e-02</leafValues></_>
<_>
<internalNodes>
0 -1 198 3.6874564830213785e-03</internalNodes>
<leafValues>
-2.2346946597099304e-01 1.8794913589954376e-01</leafValues></_>
<_>
<internalNodes>
0 -1 27 -6.0445778071880341e-02</internalNodes>
<leafValues>
-1.2328735738992691e-01 3.7436586618423462e-01</leafValues></_>
<_>
<internalNodes>
0 -1 45 -1.0111831128597260e-02</internalNodes>
<leafValues>
1.2993821501731873e-01 -3.9965015649795532e-01</leafValues></_>
<_>
<internalNodes>
0 -1 113 -6.8706151796504855e-04</internalNodes>
<leafValues>
1.7699100077152252e-01 -2.4518883228302002e-01</leafValues></_>
<_>
<internalNodes>
0 -1 207 -1.0487118270248175e-03</internalNodes>
<leafValues>
2.6799312233924866e-01 -1.5662649273872375e-01</leafValues></_>
<_>
<internalNodes>
0 -1 72 -9.5315352082252502e-03</internalNodes>
<leafValues>
5.0330907106399536e-01 -8.2798950374126434e-02</leafValues></_>
<_>
<internalNodes>
0 -1 40 -1.6947648255154490e-03</internalNodes>
<leafValues>
-5.6031841039657593e-01 8.6215086281299591e-02</leafValues></_>
<_>
<internalNodes>
0 -1 66 2.3641409352421761e-03</internalNodes>
<leafValues>
-1.6486510634422302e-01 3.0193942785263062e-01</leafValues></_>
<_>
<internalNodes>
0 -1 48 1.8846293678507209e-03</internalNodes>
<leafValues>
1.1894714832305908e-01 -3.8076052069664001e-01</leafValues></_>
<_>
<internalNodes>
0 -1 11 -1.2567615509033203e-01</internalNodes>
<leafValues>
-7.4501794576644897e-01 5.6044850498437881e-02</leafValues></_>
<_>
<internalNodes>
0 -1 169 2.5225756689906120e-03</internalNodes>
<leafValues>
7.6386697590351105e-02 -5.0290447473526001e-01</leafValues></_></weakClassifiers></_></stages>
<features>
<_>
<rects>
<_>
0 0 2 1 -1.</_>
<_>
1 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 0 2 2 -1.</_>
<_>
1 0 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 0 4 1 -1.</_>
<_>
2 0 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 0 6 15 -1.</_>
<_>
3 0 3 15 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 0 10 1 -1.</_>
<_>
5 0 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 0 12 6 -1.</_>
<_>
0 0 6 3 2.</_>
<_>
6 3 6 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 1 2 1 -1.</_>
<_>
1 1 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 1 6 13 -1.</_>
<_>
3 1 3 13 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 2 2 1 -1.</_>
<_>
1 2 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 2 2 12 -1.</_>
<_>
0 2 1 6 2.</_>
<_>
1 8 1 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 2 6 11 -1.</_>
<_>
3 2 3 11 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 2 22 4 -1.</_>
<_>
11 2 11 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 3 6 11 -1.</_>
<_>
3 3 3 11 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 6 2 1 -1.</_>
<_>
1 6 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 6 2 4 -1.</_>
<_>
0 6 1 2 2.</_>
<_>
1 8 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 6 2 3 -1.</_>
<_>
1 6 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 7 2 2 -1.</_>
<_>
1 7 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 7 10 11 -1.</_>
<_>
5 7 5 11 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 8 2 1 -1.</_>
<_>
1 8 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 8 2 2 -1.</_>
<_>
1 8 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 9 2 3 -1.</_>
<_>
1 9 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 9 8 5 -1.</_>
<_>
4 9 4 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 9 10 6 -1.</_>
<_>
5 9 5 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 10 2 2 -1.</_>
<_>
1 10 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 10 8 4 -1.</_>
<_>
4 10 4 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 11 10 4 -1.</_>
<_>
5 11 5 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 15 24 1 -1.</_>
<_>
8 15 8 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 15 24 2 -1.</_>
<_>
8 15 8 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 0 2 1 -1.</_>
<_>
2 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 0 2 2 -1.</_>
<_>
1 0 1 1 2.</_>
<_>
2 1 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 0 4 2 -1.</_>
<_>
1 0 2 1 2.</_>
<_>
3 1 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 0 10 6 -1.</_>
<_>
1 0 5 3 2.</_>
<_>
6 3 5 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 1 2 1 -1.</_>
<_>
2 1 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 1 2 6 -1.</_>
<_>
2 1 1 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 1 10 4 -1.</_>
<_>
1 1 5 2 2.</_>
<_>
6 3 5 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 2 4 14 -1.</_>
<_>
3 2 2 14 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 3 10 14 -1.</_>
<_>
1 3 5 7 2.</_>
<_>
6 10 5 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 11 12 5 -1.</_>
<_>
7 11 6 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 15 24 2 -1.</_>
<_>
9 15 8 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 17 8 1 -1.</_>
<_>
5 17 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 0 4 1 -1.</_>
<_>
4 0 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 0 4 3 -1.</_>
<_>
4 0 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 0 8 6 -1.</_>
<_>
2 0 4 3 2.</_>
<_>
6 3 4 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 1 2 1 -1.</_>
<_>
3 1 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 2 10 4 -1.</_>
<_>
7 2 5 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 2 16 6 -1.</_>
<_>
10 2 8 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 8 18 4 -1.</_>
<_>
2 10 18 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 10 12 8 -1.</_>
<_>
2 14 12 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 0 2 3 -1.</_>
<_>
4 0 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 0 12 2 -1.</_>
<_>
3 0 6 1 2.</_>
<_>
9 1 6 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 1 10 4 -1.</_>
<_>
3 1 5 2 2.</_>
<_>
8 3 5 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 2 12 2 -1.</_>
<_>
3 2 6 1 2.</_>
<_>
9 3 6 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 2 12 7 -1.</_>
<_>
9 2 6 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 3 4 7 -1.</_>
<_>
5 3 2 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 3 6 3 -1.</_>
<_>
6 3 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 3 10 7 -1.</_>
<_>
8 3 5 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 4 4 12 -1.</_>
<_>
3 4 2 6 2.</_>
<_>
5 10 2 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 5 2 6 -1.</_>
<_>
3 5 1 3 2.</_>
<_>
4 8 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 6 2 4 -1.</_>
<_>
3 6 1 2 2.</_>
<_>
4 8 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 12 19 6 -1.</_>
<_>
3 15 19 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 12 20 6 -1.</_>
<_>
3 15 20 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 0 2 1 -1.</_>
<_>
5 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 0 15 2 -1.</_>
<_>
4 1 15 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 0 17 2 -1.</_>
<_>
4 1 17 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 1 8 4 -1.</_>
<_>
4 1 4 2 2.</_>
<_>
8 3 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 1 10 4 -1.</_>
<_>
4 1 5 2 2.</_>
<_>
9 3 5 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 2 2 6 -1.</_>
<_>
4 2 1 3 2.</_>
<_>
5 5 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 2 4 4 -1.</_>
<_>
4 2 2 2 2.</_>
<_>
6 4 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 2 6 1 -1.</_>
<_>
7 2 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 2 6 4 -1.</_>
<_>
4 2 3 2 2.</_>
<_>
7 4 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 2 8 4 -1.</_>
<_>
4 2 4 2 2.</_>
<_>
8 4 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 4 2 6 -1.</_>
<_>
5 4 1 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 5 2 4 -1.</_>
<_>
5 5 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 7 2 4 -1.</_>
<_>
4 7 1 2 2.</_>
<_>
5 9 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 8 2 4 -1.</_>
<_>
4 8 1 2 2.</_>
<_>
5 10 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 0 2 1 -1.</_>
<_>
6 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 0 15 2 -1.</_>
<_>
5 1 15 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 0 16 8 -1.</_>
<_>
5 4 16 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 1 4 4 -1.</_>
<_>
7 1 2 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 1 9 12 -1.</_>
<_>
5 5 9 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 2 6 2 -1.</_>
<_>
5 2 3 1 2.</_>
<_>
8 3 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 2 7 2 -1.</_>
<_>
5 3 7 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 3 2 4 -1.</_>
<_>
5 3 1 2 2.</_>
<_>
6 5 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 3 6 2 -1.</_>
<_>
5 3 3 1 2.</_>
<_>
8 4 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 6 1 3 -1.</_>
<_>
5 7 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 8 8 3 -1.</_>
<_>
9 8 4 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 14 17 4 -1.</_>
<_>
5 16 17 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 0 10 2 -1.</_>
<_>
6 1 10 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 0 18 2 -1.</_>
<_>
6 1 18 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 1 6 4 -1.</_>
<_>
6 1 3 2 2.</_>
<_>
9 3 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 1 12 2 -1.</_>
<_>
6 2 12 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 1 13 12 -1.</_>
<_>
6 5 13 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 1 14 4 -1.</_>
<_>
6 3 14 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 2 4 2 -1.</_>
<_>
6 2 2 1 2.</_>
<_>
8 3 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 2 8 2 -1.</_>
<_>
6 2 4 1 2.</_>
<_>
10 3 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 3 2 6 -1.</_>
<_>
6 3 1 3 2.</_>
<_>
7 6 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 4 6 4 -1.</_>
<_>
9 4 3 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 7 6 6 -1.</_>
<_>
6 7 3 3 2.</_>
<_>
9 10 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 7 6 6 -1.</_>
<_>
6 10 6 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 9 4 3 -1.</_>
<_>
8 9 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 10 2 2 -1.</_>
<_>
7 10 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 11 2 1 -1.</_>
<_>
7 11 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 11 7 4 -1.</_>
<_>
6 13 7 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 11 16 4 -1.</_>
<_>
6 13 16 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 12 8 2 -1.</_>
<_>
10 12 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 1 12 2 -1.</_>
<_>
7 2 12 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 2 3 12 -1.</_>
<_>
7 6 3 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 2 16 3 -1.</_>
<_>
15 2 8 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 4 4 6 -1.</_>
<_>
7 4 2 3 2.</_>
<_>
9 7 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 6 3 6 -1.</_>
<_>
7 9 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 7 2 2 -1.</_>
<_>
7 7 1 1 2.</_>
<_>
8 8 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 8 4 2 -1.</_>
<_>
9 8 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 8 6 5 -1.</_>
<_>
10 8 3 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 9 2 2 -1.</_>
<_>
8 9 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 9 4 4 -1.</_>
<_>
9 9 2 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 9 6 3 -1.</_>
<_>
10 9 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 9 6 4 -1.</_>
<_>
10 9 3 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 9 8 5 -1.</_>
<_>
11 9 4 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 11 12 6 -1.</_>
<_>
13 11 6 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 12 4 1 -1.</_>
<_>
9 12 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 12 3 4 -1.</_>
<_>
7 14 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 12 8 2 -1.</_>
<_>
11 12 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 13 8 1 -1.</_>
<_>
11 13 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 16 11 2 -1.</_>
<_>
7 17 11 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 1 10 2 -1.</_>
<_>
8 2 10 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 1 11 2 -1.</_>
<_>
8 2 11 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 9 6 4 -1.</_>
<_>
11 9 3 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 11 12 6 -1.</_>
<_>
14 11 6 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 12 3 4 -1.</_>
<_>
8 14 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 14 14 4 -1.</_>
<_>
8 16 14 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 0 5 2 -1.</_>
<_>
9 1 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 3 14 7 -1.</_>
<_>
16 3 7 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 5 4 6 -1.</_>
<_>
9 8 4 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 6 2 6 -1.</_>
<_>
9 9 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 6 3 6 -1.</_>
<_>
9 9 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 8 2 4 -1.</_>
<_>
9 10 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 9 3 2 -1.</_>
<_>
9 10 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 9 6 6 -1.</_>
<_>
12 9 3 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 10 4 6 -1.</_>
<_>
9 13 4 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 13 6 1 -1.</_>
<_>
11 13 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 15 12 2 -1.</_>
<_>
9 16 12 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 0 8 16 -1.</_>
<_>
10 0 4 8 2.</_>
<_>
14 8 4 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 0 6 2 -1.</_>
<_>
10 1 6 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 1 12 4 -1.</_>
<_>
10 1 6 2 2.</_>
<_>
16 3 6 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 6 8 3 -1.</_>
<_>
14 6 4 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 7 3 2 -1.</_>
<_>
11 7 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 7 1 9 -1.</_>
<_>
10 10 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 7 2 9 -1.</_>
<_>
10 10 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 8 4 2 -1.</_>
<_>
10 9 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 11 9 2 -1.</_>
<_>
13 11 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 11 8 4 -1.</_>
<_>
10 13 8 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 12 8 4 -1.</_>
<_>
14 12 4 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 13 9 2 -1.</_>
<_>
10 14 9 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 16 4 2 -1.</_>
<_>
10 17 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 16 5 2 -1.</_>
<_>
10 17 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 0 6 2 -1.</_>
<_>
11 0 3 1 2.</_>
<_>
14 1 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 1 3 1 -1.</_>
<_>
12 1 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 1 10 2 -1.</_>
<_>
11 1 5 1 2.</_>
<_>
16 2 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 1 14 2 -1.</_>
<_>
11 1 7 1 2.</_>
<_>
18 2 7 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 6 6 3 -1.</_>
<_>
14 6 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 6 6 4 -1.</_>
<_>
14 6 3 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 8 4 2 -1.</_>
<_>
11 9 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 9 4 6 -1.</_>
<_>
11 9 2 3 2.</_>
<_>
13 12 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 9 6 3 -1.</_>
<_>
14 9 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 16 4 2 -1.</_>
<_>
11 17 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 16 5 2 -1.</_>
<_>
11 17 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 6 3 2 -1.</_>
<_>
13 6 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 7 3 1 -1.</_>
<_>
13 7 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 9 2 2 -1.</_>
<_>
13 9 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 11 1 4 -1.</_>
<_>
12 13 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 12 3 2 -1.</_>
<_>
13 12 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 14 8 4 -1.</_>
<_>
12 16 8 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 0 4 1 -1.</_>
<_>
15 0 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 5 2 2 -1.</_>
<_>
13 6 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 5 4 4 -1.</_>
<_>
15 5 2 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 6 3 3 -1.</_>
<_>
14 6 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 6 4 4 -1.</_>
<_>
15 6 2 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 7 3 1 -1.</_>
<_>
14 7 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 10 2 4 -1.</_>
<_>
13 12 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 12 3 1 -1.</_>
<_>
14 12 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 13 3 1 -1.</_>
<_>
14 13 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 1 6 2 -1.</_>
<_>
14 1 3 1 2.</_>
<_>
17 2 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 4 3 2 -1.</_>
<_>
14 5 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 5 4 5 -1.</_>
<_>
16 5 2 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 6 3 4 -1.</_>
<_>
15 6 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 6 3 5 -1.</_>
<_>
15 6 1 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 7 1 6 -1.</_>
<_>
14 9 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 12 3 1 -1.</_>
<_>
15 12 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 12 6 1 -1.</_>
<_>
17 12 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 17 10 1 -1.</_>
<_>
19 17 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 2 8 10 -1.</_>
<_>
19 2 4 10 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 5 1 8 -1.</_>
<_>
15 9 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 7 6 6 -1.</_>
<_>
18 7 3 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 8 2 2 -1.</_>
<_>
16 8 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 9 4 4 -1.</_>
<_>
15 9 2 2 2.</_>
<_>
17 11 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 9 6 3 -1.</_>
<_>
18 9 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 10 6 2 -1.</_>
<_>
18 10 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 11 6 2 -1.</_>
<_>
18 11 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 12 6 1 -1.</_>
<_>
18 12 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 12 6 2 -1.</_>
<_>
18 12 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 2 6 8 -1.</_>
<_>
19 2 3 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 8 6 2 -1.</_>
<_>
19 8 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 8 6 3 -1.</_>
<_>
19 8 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 9 6 1 -1.</_>
<_>
19 9 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 10 6 2 -1.</_>
<_>
19 10 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 10 6 3 -1.</_>
<_>
19 10 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 11 8 4 -1.</_>
<_>
20 11 4 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
17 1 2 4 -1.</_>
<_>
17 1 1 2 2.</_>
<_>
18 3 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
17 2 6 9 -1.</_>
<_>
20 2 3 9 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
17 3 6 7 -1.</_>
<_>
20 3 3 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
17 10 1 2 -1.</_>
<_>
17 11 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
17 10 4 2 -1.</_>
<_>
17 11 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
18 0 4 1 -1.</_>
<_>
20 0 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
18 2 2 4 -1.</_>
<_>
18 2 1 2 2.</_>
<_>
19 4 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
18 2 4 9 -1.</_>
<_>
20 2 2 9 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
18 17 2 1 -1.</_>
<_>
19 17 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 0 2 2 -1.</_>
<_>
20 0 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 1 6 14 -1.</_>
<_>
22 1 3 14 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 2 2 6 -1.</_>
<_>
19 2 1 3 2.</_>
<_>
20 5 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 3 2 4 -1.</_>
<_>
19 3 1 2 2.</_>
<_>
20 5 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 4 4 10 -1.</_>
<_>
19 4 2 5 2.</_>
<_>
21 9 2 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 6 2 6 -1.</_>
<_>
19 6 1 3 2.</_>
<_>
20 9 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 7 6 7 -1.</_>
<_>
22 7 3 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 11 2 1 -1.</_>
<_>
20 11 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 17 4 1 -1.</_>
<_>
21 17 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 0 2 1 -1.</_>
<_>
21 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 0 2 2 -1.</_>
<_>
20 0 1 1 2.</_>
<_>
21 1 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 2 4 13 -1.</_>
<_>
22 2 2 13 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 4 2 8 -1.</_>
<_>
20 4 1 4 2.</_>
<_>
21 8 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 4 2 5 -1.</_>
<_>
21 4 1 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 5 2 6 -1.</_>
<_>
20 5 1 3 2.</_>
<_>
21 8 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 8 2 2 -1.</_>
<_>
21 8 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 8 4 3 -1.</_>
<_>
22 8 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 8 4 4 -1.</_>
<_>
22 8 2 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 17 4 1 -1.</_>
<_>
22 17 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
21 1 4 1 -1.</_>
<_>
23 1 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
21 5 2 6 -1.</_>
<_>
21 5 1 3 2.</_>
<_>
22 8 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
22 0 2 1 -1.</_>
<_>
23 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 0 2 1 -1.</_>
<_>
24 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 7 2 4 -1.</_>
<_>
24 7 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 8 2 3 -1.</_>
<_>
24 8 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 9 2 2 -1.</_>
<_>
24 9 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 9 2 4 -1.</_>
<_>
24 9 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 10 2 8 -1.</_>
<_>
23 10 1 4 2.</_>
<_>
24 14 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 10 2 7 -1.</_>
<_>
24 10 1 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 13 2 5 -1.</_>
<_>
24 13 1 5 2.</_></rects>
<tilted>0</tilted></_></features></cascade>
</opencv_storage>
Reference in a new issue Copy permalink