Skip to content
Permalink
Branch: master
Find file Copy path
Find file Copy path
Fetching contributors…
Cannot retrieve contributors at this time
4038 lines (4038 sloc) 111 KB
<?xml version="1.0"?>
<opencv_storage>
<cascade>
<stageType>BOOST</stageType>
<featureType>HAAR</featureType>
<height>40</height>
<width>80</width>
<stageParams>
<boostType>GAB</boostType>
<minHitRate>9.9900001287460327e-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>ALL</mode></featureParams>
<stageNum>20</stageNum>
<stages>
<!-- stage 0 -->
<_>
<maxWeakCount>8</maxWeakCount>
<stageThreshold>-1.1148405075073242e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 168 -4.4283159077167511e-03</internalNodes>
<leafValues>
7.7755308151245117e-01 -6.0392796993255615e-01</leafValues></_>
<_>
<internalNodes>
0 -1 17 2.5179181247949600e-02</internalNodes>
<leafValues>
-2.8359594941139221e-01 8.5048520565032959e-01</leafValues></_>
<_>
<internalNodes>
0 -1 25 -1.7718786001205444e-01</internalNodes>
<leafValues>
-6.9368290901184082e-01 4.2621058225631714e-01</leafValues></_>
<_>
<internalNodes>
0 -1 290 3.0577480792999268e-02</internalNodes>
<leafValues>
-3.0499690771102905e-01 9.4907200336456299e-01</leafValues></_>
<_>
<internalNodes>
0 -1 240 -4.1234372183680534e-03</internalNodes>
<leafValues>
7.0274430513381958e-01 -3.3039584755897522e-01</leafValues></_>
<_>
<internalNodes>
0 -1 4 -4.2912960052490234e-02</internalNodes>
<leafValues>
8.1978708505630493e-01 -3.4666743874549866e-01</leafValues></_>
<_>
<internalNodes>
0 -1 53 6.9557018578052521e-03</internalNodes>
<leafValues>
-2.4430537223815918e-01 7.5244671106338501e-01</leafValues></_>
<_>
<internalNodes>
0 -1 221 -2.7311011217534542e-03</internalNodes>
<leafValues>
7.7935212850570679e-01 -3.3716031908988953e-01</leafValues></_></weakClassifiers></_>
<!-- stage 1 -->
<_>
<maxWeakCount>8</maxWeakCount>
<stageThreshold>-5.1602154970169067e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 205 -1.6597947105765343e-03</internalNodes>
<leafValues>
6.3777995109558105e-01 -4.4502618908882141e-01</leafValues></_>
<_>
<internalNodes>
0 -1 10 4.4809848070144653e-02</internalNodes>
<leafValues>
-3.8062465190887451e-01 7.1934044361114502e-01</leafValues></_>
<_>
<internalNodes>
0 -1 297 3.3958159387111664e-02</internalNodes>
<leafValues>
-2.4026799201965332e-01 7.6116323471069336e-01</leafValues></_>
<_>
<internalNodes>
0 -1 234 -2.2543240447703283e-06</internalNodes>
<leafValues>
3.5297748446464539e-01 -5.2870237827301025e-01</leafValues></_>
<_>
<internalNodes>
0 -1 264 -1.3629008084535599e-02</internalNodes>
<leafValues>
8.2695400714874268e-01 -2.7149808406829834e-01</leafValues></_>
<_>
<internalNodes>
0 -1 275 -3.0553415417671204e-02</internalNodes>
<leafValues>
7.5562340021133423e-01 -2.5406020879745483e-01</leafValues></_>
<_>
<internalNodes>
0 -1 269 5.8917328715324402e-03</internalNodes>
<leafValues>
3.3237698674201965e-01 -7.6600939035415649e-01</leafValues></_>
<_>
<internalNodes>
0 -1 64 1.5888681635260582e-02</internalNodes>
<leafValues>
-4.3544939160346985e-01 4.0568134188652039e-01</leafValues></_></weakClassifiers></_>
<!-- stage 2 -->
<_>
<maxWeakCount>10</maxWeakCount>
<stageThreshold>-7.8694355487823486e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 271 -2.9274292290210724e-02</internalNodes>
<leafValues>
7.3243242502212524e-01 -1.6511628031730652e-01</leafValues></_>
<_>
<internalNodes>
0 -1 22 5.5052742362022400e-02</internalNodes>
<leafValues>
-2.4443590641021729e-01 6.6976118087768555e-01</leafValues></_>
<_>
<internalNodes>
0 -1 233 -2.0959632820449769e-06</internalNodes>
<leafValues>
3.8017779588699341e-01 -5.4098999500274658e-01</leafValues></_>
<_>
<internalNodes>
0 -1 148 1.2154469732195139e-03</internalNodes>
<leafValues>
1.4209792017936707e-01 -9.1952961683273315e-01</leafValues></_>
<_>
<internalNodes>
0 -1 202 1.3245587470009923e-03</internalNodes>
<leafValues>
1.3962383568286896e-01 -9.3108463287353516e-01</leafValues></_>
<_>
<internalNodes>
0 -1 173 -1.3975221663713455e-03</internalNodes>
<leafValues>
5.1077735424041748e-01 -3.4780395030975342e-01</leafValues></_>
<_>
<internalNodes>
0 -1 198 -3.4601481165736914e-03</internalNodes>
<leafValues>
-8.0821537971496582e-01 2.3635470867156982e-01</leafValues></_>
<_>
<internalNodes>
0 -1 72 -3.8358371704816818e-02</internalNodes>
<leafValues>
6.1026501655578613e-01 -3.0096092820167542e-01</leafValues></_>
<_>
<internalNodes>
0 -1 305 -3.2196149230003357e-02</internalNodes>
<leafValues>
8.7524294853210449e-01 -2.0530636608600616e-01</leafValues></_>
<_>
<internalNodes>
0 -1 304 6.8660518154501915e-03</internalNodes>
<leafValues>
-2.0944720506668091e-01 6.3212507963180542e-01</leafValues></_></weakClassifiers></_>
<!-- stage 3 -->
<_>
<maxWeakCount>11</maxWeakCount>
<stageThreshold>-1.1290613412857056e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 209 6.3039530068635941e-03</internalNodes>
<leafValues>
-3.1777378916740417e-01 5.5321186780929565e-01</leafValues></_>
<_>
<internalNodes>
0 -1 144 -2.2549512505065650e-04</internalNodes>
<leafValues>
-6.4433205127716064e-01 2.8454536199569702e-01</leafValues></_>
<_>
<internalNodes>
0 -1 180 -1.7891277093440294e-04</internalNodes>
<leafValues>
-6.2141603231430054e-01 2.7034673094749451e-01</leafValues></_>
<_>
<internalNodes>
0 -1 13 1.7765128985047340e-02</internalNodes>
<leafValues>
-3.1583908200263977e-01 5.1264816522598267e-01</leafValues></_>
<_>
<internalNodes>
0 -1 8 -1.7333742231130600e-02</internalNodes>
<leafValues>
8.1492465734481812e-01 -1.8160752952098846e-01</leafValues></_>
<_>
<internalNodes>
0 -1 282 -2.0120623521506786e-03</internalNodes>
<leafValues>
6.7490082979202271e-01 -2.4017322063446045e-01</leafValues></_>
<_>
<internalNodes>
0 -1 71 -5.1343003287911415e-03</internalNodes>
<leafValues>
5.6771349906921387e-01 -2.6281374692916870e-01</leafValues></_>
<_>
<internalNodes>
0 -1 249 -1.5595987206324935e-03</internalNodes>
<leafValues>
4.1727939248085022e-01 -5.1140886545181274e-01</leafValues></_>
<_>
<internalNodes>
0 -1 243 -1.1980877752648667e-04</internalNodes>
<leafValues>
-6.3073855638504028e-01 2.7357703447341919e-01</leafValues></_>
<_>
<internalNodes>
0 -1 167 1.0261482093483210e-03</internalNodes>
<leafValues>
2.0030425488948822e-01 -8.3136808872222900e-01</leafValues></_>
<_>
<internalNodes>
0 -1 176 7.9740975052118301e-03</internalNodes>
<leafValues>
-2.7032673358917236e-01 7.4336099624633789e-01</leafValues></_></weakClassifiers></_>
<!-- stage 4 -->
<_>
<maxWeakCount>12</maxWeakCount>
<stageThreshold>-1.3684343099594116e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 117 -4.2496044188737869e-03</internalNodes>
<leafValues>
-7.6727271080017090e-01 4.6113207936286926e-01</leafValues></_>
<_>
<internalNodes>
0 -1 99 -1.4401340857148170e-02</internalNodes>
<leafValues>
4.3750494718551636e-01 -5.1017040014266968e-01</leafValues></_>
<_>
<internalNodes>
0 -1 120 1.6851092223078012e-03</internalNodes>
<leafValues>
2.6737427711486816e-01 -7.5081509351730347e-01</leafValues></_>
<_>
<internalNodes>
0 -1 217 2.6224821340292692e-03</internalNodes>
<leafValues>
1.6431869566440582e-01 -7.8558838367462158e-01</leafValues></_>
<_>
<internalNodes>
0 -1 108 -6.9354986771941185e-03</internalNodes>
<leafValues>
5.8595550060272217e-01 -2.8041782975196838e-01</leafValues></_>
<_>
<internalNodes>
0 -1 111 -2.3534079082310200e-04</internalNodes>
<leafValues>
-6.3708746433258057e-01 2.4777887761592865e-01</leafValues></_>
<_>
<internalNodes>
0 -1 5 2.2175304591655731e-02</internalNodes>
<leafValues>
-2.9329723119735718e-01 5.7056188583374023e-01</leafValues></_>
<_>
<internalNodes>
0 -1 246 -2.9409835115075111e-03</internalNodes>
<leafValues>
-7.5461995601654053e-01 2.4015299975872040e-01</leafValues></_>
<_>
<internalNodes>
0 -1 131 1.8024953315034509e-03</internalNodes>
<leafValues>
-3.0547839403152466e-01 4.9995553493499756e-01</leafValues></_>
<_>
<internalNodes>
0 -1 158 -2.2728518524672836e-04</internalNodes>
<leafValues>
-7.0787972211837769e-01 2.4269595742225647e-01</leafValues></_>
<_>
<internalNodes>
0 -1 62 -1.3867905735969543e-01</internalNodes>
<leafValues>
6.6159141063690186e-01 -2.3617485165596008e-01</leafValues></_>
<_>
<internalNodes>
0 -1 248 -3.1381959561258554e-03</internalNodes>
<leafValues>
5.1190543174743652e-01 -4.1644138097763062e-01</leafValues></_></weakClassifiers></_>
<!-- stage 5 -->
<_>
<maxWeakCount>14</maxWeakCount>
<stageThreshold>-1.0945290327072144e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 127 -1.6721163410693407e-04</internalNodes>
<leafValues>
-4.7093021869659424e-01 4.4745221734046936e-01</leafValues></_>
<_>
<internalNodes>
0 -1 14 2.6686027646064758e-01</internalNodes>
<leafValues>
-3.5362160205841064e-01 4.9255755543708801e-01</leafValues></_>
<_>
<internalNodes>
0 -1 155 1.0189597960561514e-03</internalNodes>
<leafValues>
1.7392154037952423e-01 -7.7285104990005493e-01</leafValues></_>
<_>
<internalNodes>
0 -1 60 3.0952887609601021e-02</internalNodes>
<leafValues>
-2.2136446833610535e-01 6.4550417661666870e-01</leafValues></_>
<_>
<internalNodes>
0 -1 177 1.6600851085968316e-04</internalNodes>
<leafValues>
-3.9943942427635193e-01 3.3651670813560486e-01</leafValues></_>
<_>
<internalNodes>
0 -1 1 -3.7062007188796997e-01</internalNodes>
<leafValues>
7.8233659267425537e-01 -1.8747092783451080e-01</leafValues></_>
<_>
<internalNodes>
0 -1 286 2.2383749485015869e-02</internalNodes>
<leafValues>
-1.3191071152687073e-01 7.6205736398696899e-01</leafValues></_>
<_>
<internalNodes>
0 -1 102 -1.3342319289222360e-03</internalNodes>
<leafValues>
-8.6711043119430542e-01 1.4225386083126068e-01</leafValues></_>
<_>
<internalNodes>
0 -1 268 7.9308040440082550e-02</internalNodes>
<leafValues>
-2.2071400284767151e-01 5.7175529003143311e-01</leafValues></_>
<_>
<internalNodes>
0 -1 274 7.1213013143278658e-05</internalNodes>
<leafValues>
-3.4263095259666443e-01 4.0732043981552124e-01</leafValues></_>
<_>
<internalNodes>
0 -1 156 -4.6464418992400169e-03</internalNodes>
<leafValues>
-8.1533354520797729e-01 1.4368510246276855e-01</leafValues></_>
<_>
<internalNodes>
0 -1 235 1.9679189426824450e-04</internalNodes>
<leafValues>
-1.8211099505424500e-01 7.5092273950576782e-01</leafValues></_>
<_>
<internalNodes>
0 -1 210 -2.5352848751936108e-05</internalNodes>
<leafValues>
4.6111714839935303e-01 -2.8049167990684509e-01</leafValues></_>
<_>
<internalNodes>
0 -1 153 -3.9094686508178711e-03</internalNodes>
<leafValues>
3.1791302561759949e-01 -3.6810749769210815e-01</leafValues></_></weakClassifiers></_>
<!-- stage 6 -->
<_>
<maxWeakCount>12</maxWeakCount>
<stageThreshold>-7.6867783069610596e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 172 -2.1800221929879626e-06</internalNodes>
<leafValues>
4.4674086570739746e-01 -4.7368422150611877e-01</leafValues></_>
<_>
<internalNodes>
0 -1 146 4.1367858648300171e-02</internalNodes>
<leafValues>
-2.9788702726364136e-01 6.2826627492904663e-01</leafValues></_>
<_>
<internalNodes>
0 -1 294 6.3356101512908936e-02</internalNodes>
<leafValues>
-1.5632507205009460e-01 7.2909855842590332e-01</leafValues></_>
<_>
<internalNodes>
0 -1 58 1.2285679578781128e-01</internalNodes>
<leafValues>
-2.1639707684516907e-01 5.6991237401962280e-01</leafValues></_>
<_>
<internalNodes>
0 -1 267 5.1447432488203049e-02</internalNodes>
<leafValues>
-1.6026017069816589e-01 8.2037866115570068e-01</leafValues></_>
<_>
<internalNodes>
0 -1 185 7.5533651397563517e-05</internalNodes>
<leafValues>
-3.3952176570892334e-01 3.8140359520912170e-01</leafValues></_>
<_>
<internalNodes>
0 -1 182 1.3687016908079386e-03</internalNodes>
<leafValues>
1.2643852829933167e-01 -8.8071614503860474e-01</leafValues></_>
<_>
<internalNodes>
0 -1 56 2.3893181234598160e-02</internalNodes>
<leafValues>
-1.7610904574394226e-01 7.4232292175292969e-01</leafValues></_>
<_>
<internalNodes>
0 -1 75 1.8875390291213989e-02</internalNodes>
<leafValues>
-1.8846221268177032e-01 6.7051547765731812e-01</leafValues></_>
<_>
<internalNodes>
0 -1 244 3.1305542215704918e-03</internalNodes>
<leafValues>
1.8183188140392303e-01 -7.7997338771820068e-01</leafValues></_>
<_>
<internalNodes>
0 -1 216 -3.9194907993078232e-02</internalNodes>
<leafValues>
6.4098381996154785e-01 -2.1282003819942474e-01</leafValues></_>
<_>
<internalNodes>
0 -1 57 -8.5222441703081131e-03</internalNodes>
<leafValues>
4.6497315168380737e-01 -3.0660375952720642e-01</leafValues></_></weakClassifiers></_>
<!-- stage 7 -->
<_>
<maxWeakCount>14</maxWeakCount>
<stageThreshold>-1.0466004610061646e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 270 -6.8654976785182953e-03</internalNodes>
<leafValues>
-5.5474454164505005e-01 4.1628959774971008e-01</leafValues></_>
<_>
<internalNodes>
0 -1 291 1.7702899873256683e-02</internalNodes>
<leafValues>
-1.6326825320720673e-01 6.8707573413848877e-01</leafValues></_>
<_>
<internalNodes>
0 -1 298 -3.5280536394566298e-03</internalNodes>
<leafValues>
5.7936203479766846e-01 -2.2056539356708527e-01</leafValues></_>
<_>
<internalNodes>
0 -1 179 -1.6978188068605959e-04</internalNodes>
<leafValues>
-6.4527285099029541e-01 1.8918600678443909e-01</leafValues></_>
<_>
<internalNodes>
0 -1 109 -1.4121307060122490e-02</internalNodes>
<leafValues>
2.8029009699821472e-01 -4.4765722751617432e-01</leafValues></_>
<_>
<internalNodes>
0 -1 250 1.4077418018132448e-04</internalNodes>
<leafValues>
-3.1240954995155334e-01 4.3590795993804932e-01</leafValues></_>
<_>
<internalNodes>
0 -1 192 -1.4045690477360040e-04</internalNodes>
<leafValues>
-8.1365913152694702e-01 1.8244294822216034e-01</leafValues></_>
<_>
<internalNodes>
0 -1 3 2.0071804523468018e-01</internalNodes>
<leafValues>
1.3967616856098175e-01 -7.3026651144027710e-01</leafValues></_>
<_>
<internalNodes>
0 -1 260 -1.1883191764354706e-02</internalNodes>
<leafValues>
6.3462084531784058e-01 -1.9807586073875427e-01</leafValues></_>
<_>
<internalNodes>
0 -1 61 -1.0896818712353706e-02</internalNodes>
<leafValues>
4.4877341389656067e-01 -2.7395212650299072e-01</leafValues></_>
<_>
<internalNodes>
0 -1 218 -1.6735636745579541e-04</internalNodes>
<leafValues>
-6.5856903791427612e-01 2.2462110221385956e-01</leafValues></_>
<_>
<internalNodes>
0 -1 79 -1.4080076653044671e-05</internalNodes>
<leafValues>
2.5204384326934814e-01 -4.2657449841499329e-01</leafValues></_>
<_>
<internalNodes>
0 -1 0 1.0545211844146252e-02</internalNodes>
<leafValues>
1.7091229557991028e-01 -6.3992238044738770e-01</leafValues></_>
<_>
<internalNodes>
0 -1 316 -7.7995622996240854e-04</internalNodes>
<leafValues>
6.6133975982666016e-01 -1.9500930607318878e-01</leafValues></_></weakClassifiers></_>
<!-- stage 8 -->
<_>
<maxWeakCount>19</maxWeakCount>
<stageThreshold>-1.1546876430511475e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 262 1.1498181847855449e-03</internalNodes>
<leafValues>
4.1475018858909607e-01 -3.6283186078071594e-01</leafValues></_>
<_>
<internalNodes>
0 -1 18 1.5949886292219162e-02</internalNodes>
<leafValues>
-1.8803116679191589e-01 5.8032798767089844e-01</leafValues></_>
<_>
<internalNodes>
0 -1 284 6.5171048045158386e-02</internalNodes>
<leafValues>
-1.5877813100814819e-01 6.0517275333404541e-01</leafValues></_>
<_>
<internalNodes>
0 -1 69 8.1640472635626793e-03</internalNodes>
<leafValues>
-3.7259411811828613e-01 2.7441585063934326e-01</leafValues></_>
<_>
<internalNodes>
0 -1 163 -1.1824819375760853e-04</internalNodes>
<leafValues>
-5.5392467975616455e-01 2.0093810558319092e-01</leafValues></_>
<_>
<internalNodes>
0 -1 238 7.8831892460584641e-03</internalNodes>
<leafValues>
-1.8265295028686523e-01 5.7505685091018677e-01</leafValues></_>
<_>
<internalNodes>
0 -1 223 -6.1276739870663732e-05</internalNodes>
<leafValues>
3.2924130558967590e-01 -3.7391534447669983e-01</leafValues></_>
<_>
<internalNodes>
0 -1 171 8.3716335939243436e-04</internalNodes>
<leafValues>
1.6755685210227966e-01 -6.0432410240173340e-01</leafValues></_>
<_>
<internalNodes>
0 -1 16 -2.4035811424255371e-02</internalNodes>
<leafValues>
6.3589984178543091e-01 -1.9582916796207428e-01</leafValues></_>
<_>
<internalNodes>
0 -1 85 -6.7657872568815947e-04</internalNodes>
<leafValues>
-7.6851993799209595e-01 1.6799618303775787e-01</leafValues></_>
<_>
<internalNodes>
0 -1 31 7.3524127947166562e-04</internalNodes>
<leafValues>
-1.7547246813774109e-01 6.7017006874084473e-01</leafValues></_>
<_>
<internalNodes>
0 -1 92 -1.8754068296402693e-03</internalNodes>
<leafValues>
-8.8012880086898804e-01 1.5804839134216309e-01</leafValues></_>
<_>
<internalNodes>
0 -1 74 -7.9603679478168488e-03</internalNodes>
<leafValues>
4.4209581613540649e-01 -2.4852339923381805e-01</leafValues></_>
<_>
<internalNodes>
0 -1 253 -1.4673369005322456e-03</internalNodes>
<leafValues>
-5.8281028270721436e-01 2.0002460479736328e-01</leafValues></_>
<_>
<internalNodes>
0 -1 303 3.8797737215645611e-04</internalNodes>
<leafValues>
-1.3900524377822876e-01 7.0914715528488159e-01</leafValues></_>
<_>
<internalNodes>
0 -1 296 2.1586604416370392e-02</internalNodes>
<leafValues>
-1.5045087039470673e-01 6.8674725294113159e-01</leafValues></_>
<_>
<internalNodes>
0 -1 40 5.9083814267069101e-04</internalNodes>
<leafValues>
-1.4323340356349945e-01 6.0021793842315674e-01</leafValues></_>
<_>
<internalNodes>
0 -1 245 3.1262566335499287e-03</internalNodes>
<leafValues>
1.5290284156799316e-01 -7.8756988048553467e-01</leafValues></_>
<_>
<internalNodes>
0 -1 232 -2.4468614719808102e-03</internalNodes>
<leafValues>
4.6368509531021118e-01 -2.2945995628833771e-01</leafValues></_></weakClassifiers></_>
<!-- stage 9 -->
<_>
<maxWeakCount>15</maxWeakCount>
<stageThreshold>-9.4661980867385864e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 139 -4.5537430560216308e-04</internalNodes>
<leafValues>
-6.9162994623184204e-01 4.0568098425865173e-01</leafValues></_>
<_>
<internalNodes>
0 -1 237 -3.1604887917637825e-03</internalNodes>
<leafValues>
-7.9843676090240479e-01 1.6471859812736511e-01</leafValues></_>
<_>
<internalNodes>
0 -1 196 -4.3375720269978046e-04</internalNodes>
<leafValues>
-7.3944211006164551e-01 1.4909969270229340e-01</leafValues></_>
<_>
<internalNodes>
0 -1 86 6.2517239712178707e-04</internalNodes>
<leafValues>
-3.8848838210105896e-01 3.0962592363357544e-01</leafValues></_>
<_>
<internalNodes>
0 -1 231 -1.3104891404509544e-02</internalNodes>
<leafValues>
5.7392406463623047e-01 -2.1486969292163849e-01</leafValues></_>
<_>
<internalNodes>
0 -1 252 2.6259166770614684e-04</internalNodes>
<leafValues>
-3.6643064022064209e-01 3.1370183825492859e-01</leafValues></_>
<_>
<internalNodes>
0 -1 279 4.6929266303777695e-02</internalNodes>
<leafValues>
-1.4182960987091064e-01 6.4396584033966064e-01</leafValues></_>
<_>
<internalNodes>
0 -1 93 2.0599472918547690e-04</internalNodes>
<leafValues>
1.2674939632415771e-01 -6.8198204040527344e-01</leafValues></_>
<_>
<internalNodes>
0 -1 90 1.2266069461475126e-05</internalNodes>
<leafValues>
-3.5262200236320496e-01 2.8528323769569397e-01</leafValues></_>
<_>
<internalNodes>
0 -1 87 4.7326773405075073e-02</internalNodes>
<leafValues>
-1.5908503532409668e-01 7.6890850067138672e-01</leafValues></_>
<_>
<internalNodes>
0 -1 70 3.3103466033935547e-02</internalNodes>
<leafValues>
-1.4983406662940979e-01 6.7442995309829712e-01</leafValues></_>
<_>
<internalNodes>
0 -1 195 2.1876570826862007e-04</internalNodes>
<leafValues>
2.1264454722404480e-01 -6.2419337034225464e-01</leafValues></_>
<_>
<internalNodes>
0 -1 128 1.5415584202855825e-03</internalNodes>
<leafValues>
1.4910079538822174e-01 -6.2130659818649292e-01</leafValues></_>
<_>
<internalNodes>
0 -1 222 -7.1697647217661142e-04</internalNodes>
<leafValues>
6.3758343458175659e-01 -1.8551616370677948e-01</leafValues></_>
<_>
<internalNodes>
0 -1 169 2.2357562556862831e-04</internalNodes>
<leafValues>
-3.5979613661766052e-01 3.5569825768470764e-01</leafValues></_></weakClassifiers></_>
<!-- stage 10 -->
<_>
<maxWeakCount>13</maxWeakCount>
<stageThreshold>-1.2124392986297607e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 68 1.7056785523891449e-02</internalNodes>
<leafValues>
-2.1010638773441315e-01 6.5801888704299927e-01</leafValues></_>
<_>
<internalNodes>
0 -1 277 -2.5896567851305008e-02</internalNodes>
<leafValues>
4.5445102453231812e-01 -2.8187519311904907e-01</leafValues></_>
<_>
<internalNodes>
0 -1 34 5.2549075335264206e-03</internalNodes>
<leafValues>
-1.7179410159587860e-01 7.3542433977127075e-01</leafValues></_>
<_>
<internalNodes>
0 -1 121 3.1611547456122935e-04</internalNodes>
<leafValues>
-3.6840093135833740e-01 3.5701209306716919e-01</leafValues></_>
<_>
<internalNodes>
0 -1 162 -5.1049543544650078e-03</internalNodes>
<leafValues>
3.9575421810150146e-01 -3.5553967952728271e-01</leafValues></_>
<_>
<internalNodes>
0 -1 292 4.6774046495556831e-03</internalNodes>
<leafValues>
-1.8925751745700836e-01 6.6416215896606445e-01</leafValues></_>
<_>
<internalNodes>
0 -1 15 -1.3569641159847379e-03</internalNodes>
<leafValues>
5.9349566698074341e-01 -1.6810712218284607e-01</leafValues></_>
<_>
<internalNodes>
0 -1 197 8.1354915164411068e-04</internalNodes>
<leafValues>
-1.3193184137344360e-01 6.6292256116867065e-01</leafValues></_>
<_>
<internalNodes>
0 -1 19 -8.1069674342870712e-03</internalNodes>
<leafValues>
5.8180612325668335e-01 -2.1215388178825378e-01</leafValues></_>
<_>
<internalNodes>
0 -1 27 1.1296023149043322e-03</internalNodes>
<leafValues>
-2.3233099281787872e-01 4.2428117990493774e-01</leafValues></_>
<_>
<internalNodes>
0 -1 73 5.1808002172037959e-04</internalNodes>
<leafValues>
-2.8093764185905457e-01 4.6614170074462891e-01</leafValues></_>
<_>
<internalNodes>
0 -1 9 6.4565883949398994e-03</internalNodes>
<leafValues>
-3.4793120622634888e-01 3.3015611767768860e-01</leafValues></_>
<_>
<internalNodes>
0 -1 204 -3.7283803976606578e-05</internalNodes>
<leafValues>
-6.0843539237976074e-01 1.9267328083515167e-01</leafValues></_></weakClassifiers></_>
<!-- stage 11 -->
<_>
<maxWeakCount>14</maxWeakCount>
<stageThreshold>-8.7479305267333984e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 51 -1.6627414152026176e-02</internalNodes>
<leafValues>
5.8285051584243774e-01 -1.3975577056407928e-01</leafValues></_>
<_>
<internalNodes>
0 -1 229 2.7773729525506496e-03</internalNodes>
<leafValues>
1.5503171086311340e-01 -8.5974329710006714e-01</leafValues></_>
<_>
<internalNodes>
0 -1 193 1.5838918625377119e-04</internalNodes>
<leafValues>
1.1483263224363327e-01 -7.9860419034957886e-01</leafValues></_>
<_>
<internalNodes>
0 -1 141 -5.2730208262801170e-03</internalNodes>
<leafValues>
1.8433088064193726e-01 -4.8516610264778137e-01</leafValues></_>
<_>
<internalNodes>
0 -1 137 -8.1818769103847444e-05</internalNodes>
<leafValues>
-4.5095306634902954e-01 2.1866524219512939e-01</leafValues></_>
<_>
<internalNodes>
0 -1 224 -8.0917714512906969e-05</internalNodes>
<leafValues>
4.1193538904190063e-01 -2.9130503535270691e-01</leafValues></_>
<_>
<internalNodes>
0 -1 201 3.1586304306983948e-02</internalNodes>
<leafValues>
-2.6413485407829285e-01 6.4916515350341797e-01</leafValues></_>
<_>
<internalNodes>
0 -1 95 4.8651294782757759e-03</internalNodes>
<leafValues>
-1.8750914931297302e-01 5.4730123281478882e-01</leafValues></_>
<_>
<internalNodes>
0 -1 122 -1.0981715749949217e-03</internalNodes>
<leafValues>
-7.8098350763320923e-01 1.4652502536773682e-01</leafValues></_>
<_>
<internalNodes>
0 -1 103 -8.5215568542480469e-03</internalNodes>
<leafValues>
3.0919134616851807e-01 -2.9554954171180725e-01</leafValues></_>
<_>
<internalNodes>
0 -1 81 -1.3630800880491734e-02</internalNodes>
<leafValues>
5.4939270019531250e-01 -2.0554220676422119e-01</leafValues></_>
<_>
<internalNodes>
0 -1 52 4.0976284071803093e-03</internalNodes>
<leafValues>
-2.7644905447959900e-01 3.9325830340385437e-01</leafValues></_>
<_>
<internalNodes>
0 -1 191 -1.6441792831756175e-04</internalNodes>
<leafValues>
-6.9783413410186768e-01 1.4135010540485382e-01</leafValues></_>
<_>
<internalNodes>
0 -1 2 2.5613554753363132e-03</internalNodes>
<leafValues>
1.3616244494915009e-01 -6.3104850053787231e-01</leafValues></_></weakClassifiers></_>
<!-- stage 12 -->
<_>
<maxWeakCount>21</maxWeakCount>
<stageThreshold>-7.6549768447875977e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 207 -5.4632278624922037e-04</internalNodes>
<leafValues>
-7.4825173616409302e-01 3.4797528386116028e-01</leafValues></_>
<_>
<internalNodes>
0 -1 140 1.0455549636390060e-04</internalNodes>
<leafValues>
-3.9400482177734375e-01 2.7671718597412109e-01</leafValues></_>
<_>
<internalNodes>
0 -1 23 2.9035860672593117e-02</internalNodes>
<leafValues>
-3.8324627280235291e-01 2.3000176250934601e-01</leafValues></_>
<_>
<internalNodes>
0 -1 116 1.1917087977053598e-04</internalNodes>
<leafValues>
-2.2378233075141907e-01 4.1279879212379456e-01</leafValues></_>
<_>
<internalNodes>
0 -1 47 2.2725441958755255e-03</internalNodes>
<leafValues>
-2.9251843690872192e-01 3.5985445976257324e-01</leafValues></_>
<_>
<internalNodes>
0 -1 37 -9.0981081128120422e-02</internalNodes>
<leafValues>
5.1851689815521240e-01 -2.0210553705692291e-01</leafValues></_>
<_>
<internalNodes>
0 -1 65 -1.4382127672433853e-02</internalNodes>
<leafValues>
7.0432400703430176e-01 -1.3413104414939880e-01</leafValues></_>
<_>
<internalNodes>
0 -1 308 5.9175898786634207e-04</internalNodes>
<leafValues>
-1.0526556521654129e-01 6.9667232036590576e-01</leafValues></_>
<_>
<internalNodes>
0 -1 143 -3.4683119156397879e-04</internalNodes>
<leafValues>
-7.4666082859039307e-01 1.4190216362476349e-01</leafValues></_>
<_>
<internalNodes>
0 -1 319 3.5347481025382876e-04</internalNodes>
<leafValues>
-1.9175881147384644e-01 5.2502518892288208e-01</leafValues></_>
<_>
<internalNodes>
0 -1 30 -1.5434008091688156e-03</internalNodes>
<leafValues>
5.7596188783645630e-01 -1.3406991958618164e-01</leafValues></_>
<_>
<internalNodes>
0 -1 105 4.1871643043123186e-04</internalNodes>
<leafValues>
1.2379136681556702e-01 -6.5738147497177124e-01</leafValues></_>
<_>
<internalNodes>
0 -1 133 -6.8262434797361493e-04</internalNodes>
<leafValues>
6.1296612024307251e-01 -1.4057171344757080e-01</leafValues></_>
<_>
<internalNodes>
0 -1 151 -3.9944017771631479e-04</internalNodes>
<leafValues>
4.8486930131912231e-01 -1.7325122654438019e-01</leafValues></_>
<_>
<internalNodes>
0 -1 187 2.5565025862306356e-03</internalNodes>
<leafValues>
-1.5542761981487274e-01 5.9396594762802124e-01</leafValues></_>
<_>
<internalNodes>
0 -1 36 -1.4014708576723933e-03</internalNodes>
<leafValues>
8.1580841541290283e-01 -8.9361868798732758e-02</leafValues></_>
<_>
<internalNodes>
0 -1 132 6.0306891100481153e-04</internalNodes>
<leafValues>
-1.4323244988918304e-01 5.8501064777374268e-01</leafValues></_>
<_>
<internalNodes>
0 -1 213 2.9491301393136382e-04</internalNodes>
<leafValues>
-1.9589513540267944e-01 4.2418217658996582e-01</leafValues></_>
<_>
<internalNodes>
0 -1 259 -1.9146542763337493e-04</internalNodes>
<leafValues>
-6.4177995920181274e-01 1.5368396043777466e-01</leafValues></_>
<_>
<internalNodes>
0 -1 186 2.4926621335907839e-05</internalNodes>
<leafValues>
-2.7640044689178467e-01 3.2716351747512817e-01</leafValues></_>
<_>
<internalNodes>
0 -1 41 -7.7987578697502613e-04</internalNodes>
<leafValues>
4.8536074161529541e-01 -1.8768641352653503e-01</leafValues></_></weakClassifiers></_>
<!-- stage 13 -->
<_>
<maxWeakCount>20</maxWeakCount>
<stageThreshold>-1.0089817047119141e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 125 -1.1433196777943522e-04</internalNodes>
<leafValues>
-5.5555558204650879e-01 3.6376604437828064e-01</leafValues></_>
<_>
<internalNodes>
0 -1 21 1.6185594722628593e-02</internalNodes>
<leafValues>
-2.6230055093765259e-01 3.6079826951026917e-01</leafValues></_>
<_>
<internalNodes>
0 -1 149 2.7655401936499402e-05</internalNodes>
<leafValues>
-2.7489200234413147e-01 3.2499551773071289e-01</leafValues></_>
<_>
<internalNodes>
0 -1 214 2.1285895491018891e-04</internalNodes>
<leafValues>
-3.3276534080505371e-01 3.1115645170211792e-01</leafValues></_>
<_>
<internalNodes>
0 -1 88 9.6388775855302811e-03</internalNodes>
<leafValues>
7.5895264744758606e-02 -7.1287786960601807e-01</leafValues></_>
<_>
<internalNodes>
0 -1 285 -2.3646024055778980e-03</internalNodes>
<leafValues>
-7.5488287210464478e-01 1.1117026209831238e-01</leafValues></_>
<_>
<internalNodes>
0 -1 247 6.1692790040979162e-06</internalNodes>
<leafValues>
1.5640987455844879e-01 -5.3824692964553833e-01</leafValues></_>
<_>
<internalNodes>
0 -1 188 3.5597023088485003e-04</internalNodes>
<leafValues>
-1.9199544191360474e-01 4.6818193793296814e-01</leafValues></_>
<_>
<internalNodes>
0 -1 183 -3.8377242162823677e-04</internalNodes>
<leafValues>
-6.8126255273818970e-01 1.3132409751415253e-01</leafValues></_>
<_>
<internalNodes>
0 -1 164 5.0751361995935440e-02</internalNodes>
<leafValues>
-2.4793384969234467e-01 3.6871412396430969e-01</leafValues></_>
<_>
<internalNodes>
0 -1 206 -3.2684627512935549e-05</internalNodes>
<leafValues>
2.5735634565353394e-01 -3.6727333068847656e-01</leafValues></_>
<_>
<internalNodes>
0 -1 317 -6.5550178987905383e-04</internalNodes>
<leafValues>
5.4342621564865112e-01 -1.8524621427059174e-01</leafValues></_>
<_>
<internalNodes>
0 -1 207 -4.3289002496749163e-04</internalNodes>
<leafValues>
-6.7148905992507935e-01 1.3334049284458160e-01</leafValues></_>
<_>
<internalNodes>
0 -1 135 -1.7089751054299995e-05</internalNodes>
<leafValues>
-3.9169591665267944e-01 2.3205083608627319e-01</leafValues></_>
<_>
<internalNodes>
0 -1 189 3.0918000265955925e-04</internalNodes>
<leafValues>
-1.2184674292802811e-01 8.0282479524612427e-01</leafValues></_>
<_>
<internalNodes>
0 -1 230 -2.2990385332377627e-05</internalNodes>
<leafValues>
-5.0050187110900879e-01 1.9084036350250244e-01</leafValues></_>
<_>
<internalNodes>
0 -1 46 8.3778740372508764e-04</internalNodes>
<leafValues>
-1.3191014528274536e-01 7.5282418727874756e-01</leafValues></_>
<_>
<internalNodes>
0 -1 33 8.3122157957404852e-04</internalNodes>
<leafValues>
-1.2551106512546539e-01 6.0511457920074463e-01</leafValues></_>
<_>
<internalNodes>
0 -1 101 6.7718798527494073e-04</internalNodes>
<leafValues>
2.0433981716632843e-01 -4.4942730665206909e-01</leafValues></_>
<_>
<internalNodes>
0 -1 147 3.9531505899503827e-04</internalNodes>
<leafValues>
-2.1715559065341949e-01 3.9218816161155701e-01</leafValues></_></weakClassifiers></_>
<!-- stage 14 -->
<_>
<maxWeakCount>18</maxWeakCount>
<stageThreshold>-8.4732419252395630e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 181 2.4594462011009455e-03</internalNodes>
<leafValues>
3.6022648215293884e-01 -5.8288770914077759e-01</leafValues></_>
<_>
<internalNodes>
0 -1 113 -1.1546487221494317e-03</internalNodes>
<leafValues>
3.0590504407882690e-01 -3.4324589371681213e-01</leafValues></_>
<_>
<internalNodes>
0 -1 104 6.4507324714213610e-04</internalNodes>
<leafValues>
-1.9562497735023499e-01 5.1564502716064453e-01</leafValues></_>
<_>
<internalNodes>
0 -1 115 1.9770883955061436e-04</internalNodes>
<leafValues>
9.0382337570190430e-02 -7.0050591230392456e-01</leafValues></_>
<_>
<internalNodes>
0 -1 107 -1.7688178922981024e-04</internalNodes>
<leafValues>
-7.4860209226608276e-01 1.1553186923265457e-01</leafValues></_>
<_>
<internalNodes>
0 -1 273 2.4834312498569489e-03</internalNodes>
<leafValues>
-1.6968718171119690e-01 5.2319669723510742e-01</leafValues></_>
<_>
<internalNodes>
0 -1 299 1.0857891291379929e-02</internalNodes>
<leafValues>
-2.1859401464462280e-01 4.6118599176406860e-01</leafValues></_>
<_>
<internalNodes>
0 -1 301 -6.8348338827490807e-03</internalNodes>
<leafValues>
5.7302075624465942e-01 -1.2606684863567352e-01</leafValues></_>
<_>
<internalNodes>
0 -1 239 -1.0351336823077872e-04</internalNodes>
<leafValues>
-6.0489922761917114e-01 1.1340012401342392e-01</leafValues></_>
<_>
<internalNodes>
0 -1 63 -3.0671264976263046e-03</internalNodes>
<leafValues>
2.7533918619155884e-01 -3.5695946216583252e-01</leafValues></_>
<_>
<internalNodes>
0 -1 38 1.2121979147195816e-02</internalNodes>
<leafValues>
-1.2234964221715927e-01 6.6094517707824707e-01</leafValues></_>
<_>
<internalNodes>
0 -1 43 -6.6997902467846870e-04</internalNodes>
<leafValues>
6.9661736488342285e-01 -1.2237963080406189e-01</leafValues></_>
<_>
<internalNodes>
0 -1 184 -1.1990327038802207e-04</internalNodes>
<leafValues>
2.0117630064487457e-01 -4.5665243268013000e-01</leafValues></_>
<_>
<internalNodes>
0 -1 199 8.5386745631694794e-03</internalNodes>
<leafValues>
-1.7000401020050049e-01 5.3380835056304932e-01</leafValues></_>
<_>
<internalNodes>
0 -1 258 -2.5566462427377701e-02</internalNodes>
<leafValues>
4.2047289013862610e-01 -2.2770409286022186e-01</leafValues></_>
<_>
<internalNodes>
0 -1 289 -1.1845327913761139e-02</internalNodes>
<leafValues>
4.0075543522834778e-01 -2.3086924850940704e-01</leafValues></_>
<_>
<internalNodes>
0 -1 170 2.3941732943058014e-02</internalNodes>
<leafValues>
-1.7174021899700165e-01 4.8933911323547363e-01</leafValues></_>
<_>
<internalNodes>
0 -1 28 3.6402922705747187e-04</internalNodes>
<leafValues>
-2.1796043217182159e-01 4.0281823277473450e-01</leafValues></_></weakClassifiers></_>
<!-- stage 15 -->
<_>
<maxWeakCount>20</maxWeakCount>
<stageThreshold>-8.9323580265045166e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 194 -2.3939504171721637e-04</internalNodes>
<leafValues>
-6.9444441795349121e-01 3.4340658783912659e-01</leafValues></_>
<_>
<internalNodes>
0 -1 313 5.3301015868782997e-03</internalNodes>
<leafValues>
-1.3027262687683105e-01 4.6860191226005554e-01</leafValues></_>
<_>
<internalNodes>
0 -1 159 -4.2684070649556816e-04</internalNodes>
<leafValues>
-7.2717672586441040e-01 8.8729321956634521e-02</leafValues></_>
<_>
<internalNodes>
0 -1 210 -4.6005461626918986e-06</internalNodes>
<leafValues>
2.0612092316150665e-01 -3.1506583094596863e-01</leafValues></_>
<_>
<internalNodes>
0 -1 42 8.5365158156491816e-05</internalNodes>
<leafValues>
2.3677529394626617e-01 -3.8854846358299255e-01</leafValues></_>
<_>
<internalNodes>
0 -1 67 -6.5012909471988678e-03</internalNodes>
<leafValues>
3.1929352879524231e-01 -2.7630332112312317e-01</leafValues></_>
<_>
<internalNodes>
0 -1 208 -3.8269266951829195e-05</internalNodes>
<leafValues>
2.5320941209793091e-01 -3.6643472313880920e-01</leafValues></_>
<_>
<internalNodes>
0 -1 280 1.1258729733526707e-02</internalNodes>
<leafValues>
-1.8007920682430267e-01 5.9974467754364014e-01</leafValues></_>
<_>
<internalNodes>
0 -1 293 -3.1959585612639785e-04</internalNodes>
<leafValues>
3.2773461937904358e-01 -2.6232755184173584e-01</leafValues></_>
<_>
<internalNodes>
0 -1 160 -9.9763154983520508e-02</internalNodes>
<leafValues>
4.7837030887603760e-01 -1.7159065604209900e-01</leafValues></_>
<_>
<internalNodes>
0 -1 152 -8.7546686700079590e-06</internalNodes>
<leafValues>
-3.4247565269470215e-01 2.5441285967826843e-01</leafValues></_>
<_>
<internalNodes>
0 -1 165 7.0084090111777186e-05</internalNodes>
<leafValues>
-4.1166141629219055e-01 1.9397281110286713e-01</leafValues></_>
<_>
<internalNodes>
0 -1 66 3.0613655690103769e-04</internalNodes>
<leafValues>
-2.5554946064949036e-01 3.0457779765129089e-01</leafValues></_>
<_>
<internalNodes>
0 -1 45 -4.7551169991493225e-03</internalNodes>
<leafValues>
2.9897180199623108e-01 -3.2510516047477722e-01</leafValues></_>
<_>
<internalNodes>
0 -1 190 8.3261227700859308e-05</internalNodes>
<leafValues>
1.3531351089477539e-01 -5.8847814798355103e-01</leafValues></_>
<_>
<internalNodes>
0 -1 49 1.0640739928930998e-03</internalNodes>
<leafValues>
-1.2585294246673584e-01 6.7628765106201172e-01</leafValues></_>
<_>
<internalNodes>
0 -1 29 3.5390706034377217e-04</internalNodes>
<leafValues>
-1.0106986016035080e-01 6.3077878952026367e-01</leafValues></_>
<_>
<internalNodes>
0 -1 76 2.4008488981053233e-04</internalNodes>
<leafValues>
1.5586614608764648e-01 -5.6383252143859863e-01</leafValues></_>
<_>
<internalNodes>
0 -1 312 -2.6442218571901321e-02</internalNodes>
<leafValues>
-4.9564072489738464e-01 1.3855218887329102e-01</leafValues></_>
<_>
<internalNodes>
0 -1 50 -4.0566688403487206e-03</internalNodes>
<leafValues>
5.4791224002838135e-01 -1.4491912722587585e-01</leafValues></_></weakClassifiers></_>
<!-- stage 16 -->
<_>
<maxWeakCount>24</maxWeakCount>
<stageThreshold>-1.0662659406661987e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 119 2.4957179557532072e-03</internalNodes>
<leafValues>
3.4950071573257446e-01 -4.5454546809196472e-01</leafValues></_>
<_>
<internalNodes>
0 -1 20 1.4011386781930923e-02</internalNodes>
<leafValues>
-1.9617363810539246e-01 4.0733510255813599e-01</leafValues></_>
<_>
<internalNodes>
0 -1 114 -3.5906678531318903e-03</internalNodes>
<leafValues>
2.8132197260856628e-01 -2.7758580446243286e-01</leafValues></_>
<_>
<internalNodes>
0 -1 98 -2.1891048618272180e-06</internalNodes>
<leafValues>
-3.9462372660636902e-01 2.0877341926097870e-01</leafValues></_>
<_>
<internalNodes>
0 -1 226 1.8474311218596995e-04</internalNodes>
<leafValues>
5.8268282562494278e-02 -7.6359176635742188e-01</leafValues></_>
<_>
<internalNodes>
0 -1 307 -6.2105647521093488e-04</internalNodes>
<leafValues>
6.7604768276214600e-01 -1.2304396927356720e-01</leafValues></_>
<_>
<internalNodes>
0 -1 314 -2.7568042278289795e-03</internalNodes>
<leafValues>
8.1870621442794800e-01 -6.7086182534694672e-02</leafValues></_>
<_>
<internalNodes>
0 -1 256 2.7246842364547774e-05</internalNodes>
<leafValues>
-2.4772642552852631e-01 3.1140929460525513e-01</leafValues></_>
<_>
<internalNodes>
0 -1 129 3.1226247549057007e-02</internalNodes>
<leafValues>
-1.2362281978130341e-01 6.1605173349380493e-01</leafValues></_>
<_>
<internalNodes>
0 -1 123 8.0056743172463030e-05</internalNodes>
<leafValues>
-4.5002809166908264e-01 1.9430601596832275e-01</leafValues></_>
<_>
<internalNodes>
0 -1 166 -9.3998514785198495e-06</internalNodes>
<leafValues>
-4.0452191233634949e-01 2.0207221806049347e-01</leafValues></_>
<_>
<internalNodes>
0 -1 228 4.0027666836977005e-02</internalNodes>
<leafValues>
-1.3891351222991943e-01 5.3367006778717041e-01</leafValues></_>
<_>
<internalNodes>
0 -1 106 -7.3427532333880663e-04</internalNodes>
<leafValues>
3.2361355423927307e-01 -2.8198465704917908e-01</leafValues></_>
<_>
<internalNodes>
0 -1 254 6.8859633756801486e-04</internalNodes>
<leafValues>
1.4327463507652283e-01 -6.6264337301254272e-01</leafValues></_>
<_>
<internalNodes>
0 -1 320 5.9906370006501675e-04</internalNodes>
<leafValues>
-1.4098879694938660e-01 6.2903195619583130e-01</leafValues></_>
<_>
<internalNodes>
0 -1 236 8.5107225459069014e-05</internalNodes>
<leafValues>
1.7829503118991852e-01 -4.7830513119697571e-01</leafValues></_>
<_>
<internalNodes>
0 -1 126 5.0394963473081589e-03</internalNodes>
<leafValues>
-1.5827028453350067e-01 5.9745478630065918e-01</leafValues></_>
<_>
<internalNodes>
0 -1 295 -3.0788953881710768e-03</internalNodes>
<leafValues>
4.5802956819534302e-01 -1.6249002516269684e-01</leafValues></_>
<_>
<internalNodes>
0 -1 287 1.7784379422664642e-02</internalNodes>
<leafValues>
-1.1456662416458130e-01 6.8179380893707275e-01</leafValues></_>
<_>
<internalNodes>
0 -1 283 1.0053181089460850e-02</internalNodes>
<leafValues>
-2.0809635519981384e-01 4.1879346966743469e-01</leafValues></_>
<_>
<internalNodes>
0 -1 39 -5.3593399934470654e-04</internalNodes>
<leafValues>
4.3986362218856812e-01 -1.7423516511917114e-01</leafValues></_>
<_>
<internalNodes>
0 -1 276 2.2439938038587570e-03</internalNodes>
<leafValues>
1.1797372996807098e-01 -6.5509289503097534e-01</leafValues></_>
<_>
<internalNodes>
0 -1 24 -3.5611907951533794e-03</internalNodes>
<leafValues>
5.9106326103210449e-01 -1.4856320619583130e-01</leafValues></_>
<_>
<internalNodes>
0 -1 251 -4.9627120461082086e-05</internalNodes>
<leafValues>
2.8755483031272888e-01 -3.1669694185256958e-01</leafValues></_></weakClassifiers></_>
<!-- stage 17 -->
<_>
<maxWeakCount>23</maxWeakCount>
<stageThreshold>-6.9742602109909058e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 145 8.2783214747905731e-04</internalNodes>
<leafValues>
3.5965541005134583e-01 -4.8792269825935364e-01</leafValues></_>
<_>
<internalNodes>
0 -1 112 1.2476553092710674e-04</internalNodes>
<leafValues>
-2.9154583811759949e-01 2.8039664030075073e-01</leafValues></_>
<_>
<internalNodes>
0 -1 215 1.9364877371117473e-03</internalNodes>
<leafValues>
1.4077563583850861e-01 -5.9166431427001953e-01</leafValues></_>
<_>
<internalNodes>
0 -1 278 1.7806522548198700e-02</internalNodes>
<leafValues>
1.4120744168758392e-01 -4.8538565635681152e-01</leafValues></_>
<_>
<internalNodes>
0 -1 263 5.2333541680127382e-04</internalNodes>
<leafValues>
-2.3512782156467438e-01 3.0558583140373230e-01</leafValues></_>
<_>
<internalNodes>
0 -1 288 7.7576741576194763e-02</internalNodes>
<leafValues>
-1.1306282132863998e-01 6.4315360784530640e-01</leafValues></_>
<_>
<internalNodes>
0 -1 281 5.3396157454699278e-04</internalNodes>
<leafValues>
-1.8791612982749939e-01 4.1230183839797974e-01</leafValues></_>
<_>
<internalNodes>
0 -1 89 6.8449042737483978e-03</internalNodes>
<leafValues>
-2.5307226181030273e-01 3.0534845590591431e-01</leafValues></_>
<_>
<internalNodes>
0 -1 219 5.6067368859658018e-05</internalNodes>
<leafValues>
1.4447194337844849e-01 -7.5753617286682129e-01</leafValues></_>
<_>
<internalNodes>
0 -1 220 -9.7942407592199743e-05</internalNodes>
<leafValues>
-4.5922392606735229e-01 1.2282826006412506e-01</leafValues></_>
<_>
<internalNodes>
0 -1 302 -2.9156152158975601e-02</internalNodes>
<leafValues>
5.7693809270858765e-01 -1.2293332070112228e-01</leafValues></_>
<_>
<internalNodes>
0 -1 257 1.2561536394059658e-02</internalNodes>
<leafValues>
-2.3696446418762207e-01 3.5447096824645996e-01</leafValues></_>
<_>
<internalNodes>
0 -1 77 2.2901331249158829e-04</internalNodes>
<leafValues>
-2.9744181036949158e-01 2.9379487037658691e-01</leafValues></_>
<_>
<internalNodes>
0 -1 110 2.3230182705447078e-04</internalNodes>
<leafValues>
-2.4682153761386871e-01 3.1922543048858643e-01</leafValues></_>
<_>
<internalNodes>
0 -1 255 -1.1727018863894045e-04</internalNodes>
<leafValues>
-4.3665236234664917e-01 1.7487634718418121e-01</leafValues></_>
<_>
<internalNodes>
0 -1 124 9.8970675026066601e-05</internalNodes>
<leafValues>
1.0906022787094116e-01 -7.1903944015502930e-01</leafValues></_>
<_>
<internalNodes>
0 -1 309 8.3849899237975478e-04</internalNodes>
<leafValues>
-1.2345732003450394e-01 6.7958772182464600e-01</leafValues></_>
<_>
<internalNodes>
0 -1 211 -5.2915222477167845e-04</internalNodes>
<leafValues>
9.1144633293151855e-01 -5.7525567710399628e-02</leafValues></_>
<_>
<internalNodes>
0 -1 12 2.0430989563465118e-02</internalNodes>
<leafValues>
-1.2887659668922424e-01 5.0696790218353271e-01</leafValues></_>
<_>
<internalNodes>
0 -1 266 -7.5605148449540138e-03</internalNodes>
<leafValues>
-6.0305309295654297e-01 1.1703401058912277e-01</leafValues></_>
<_>
<internalNodes>
0 -1 136 -2.1735739428550005e-03</internalNodes>
<leafValues>
2.7677732706069946e-01 -2.7440318465232849e-01</leafValues></_>
<_>
<internalNodes>
0 -1 150 4.6676539932377636e-04</internalNodes>
<leafValues>
-1.6843280196189880e-01 4.7887814044952393e-01</leafValues></_>
<_>
<internalNodes>
0 -1 235 2.0710527314804494e-04</internalNodes>
<leafValues>
-1.1934223771095276e-01 6.7208176851272583e-01</leafValues></_></weakClassifiers></_>
<!-- stage 18 -->
<_>
<maxWeakCount>23</maxWeakCount>
<stageThreshold>-8.3116018772125244e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 96 3.5085869021713734e-03</internalNodes>
<leafValues>
3.7744361162185669e-01 -3.7777778506278992e-01</leafValues></_>
<_>
<internalNodes>
0 -1 154 -1.2546959624160081e-04</internalNodes>
<leafValues>
-4.8943996429443359e-01 1.7337870597839355e-01</leafValues></_>
<_>
<internalNodes>
0 -1 54 8.1489346921443939e-03</internalNodes>
<leafValues>
-2.2837589681148529e-01 3.4099617600440979e-01</leafValues></_>
<_>
<internalNodes>
0 -1 59 -6.2707185745239258e-02</internalNodes>
<leafValues>
-7.8132325410842896e-01 8.6323842406272888e-02</leafValues></_>
<_>
<internalNodes>
0 -1 310 -4.1991821490228176e-04</internalNodes>
<leafValues>
5.7259494066238403e-01 -1.2075214087963104e-01</leafValues></_>
<_>
<internalNodes>
0 -1 225 -2.6211381191387773e-04</internalNodes>
<leafValues>
-5.9112447500228882e-01 1.0973238199949265e-01</leafValues></_>
<_>
<internalNodes>
0 -1 118 -6.3387216068804264e-03</internalNodes>
<leafValues>
2.6465618610382080e-01 -2.5615599751472473e-01</leafValues></_>
<_>
<internalNodes>
0 -1 134 2.9212603112682700e-04</internalNodes>
<leafValues>
1.7833085358142853e-01 -3.9557215571403503e-01</leafValues></_>
<_>
<internalNodes>
0 -1 32 6.4709025900810957e-04</internalNodes>
<leafValues>
-1.5519475936889648e-01 5.8131349086761475e-01</leafValues></_>
<_>
<internalNodes>
0 -1 83 -9.2880827651242726e-06</internalNodes>
<leafValues>
-2.9310074448585510e-01 2.3563131690025330e-01</leafValues></_>
<_>
<internalNodes>
0 -1 138 -1.3284789747558534e-04</internalNodes>
<leafValues>
-5.1670384407043457e-01 1.4243632555007935e-01</leafValues></_>
<_>
<internalNodes>
0 -1 80 -4.2341896332800388e-03</internalNodes>
<leafValues>
4.9395397305488586e-01 -1.7350852489471436e-01</leafValues></_>
<_>
<internalNodes>
0 -1 78 -4.5376815833151340e-03</internalNodes>
<leafValues>
4.6102297306060791e-01 -1.8366897106170654e-01</leafValues></_>
<_>
<internalNodes>
0 -1 300 -5.1429576706141233e-04</internalNodes>
<leafValues>
5.4976207017898560e-01 -1.1462254077196121e-01</leafValues></_>
<_>
<internalNodes>
0 -1 272 -2.5445484789088368e-04</internalNodes>
<leafValues>
3.7538909912109375e-01 -1.8170575797557831e-01</leafValues></_>
<_>
<internalNodes>
0 -1 7 4.1587986052036285e-03</internalNodes>
<leafValues>
-2.5162118673324585e-01 2.7585369348526001e-01</leafValues></_>
<_>
<internalNodes>
0 -1 203 1.4419492799788713e-03</internalNodes>
<leafValues>
1.0608324408531189e-01 -7.5862550735473633e-01</leafValues></_>
<_>
<internalNodes>
0 -1 26 -9.0172240743413568e-04</internalNodes>
<leafValues>
4.8076114058494568e-01 -1.6091892123222351e-01</leafValues></_>
<_>
<internalNodes>
0 -1 306 5.0419813487678766e-04</internalNodes>
<leafValues>
-1.4044728875160217e-01 4.8016187548637390e-01</leafValues></_>
<_>
<internalNodes>
0 -1 212 8.7857351900311187e-06</internalNodes>
<leafValues>
-2.1178604662418365e-01 3.2877537608146667e-01</leafValues></_>
<_>
<internalNodes>
0 -1 261 -8.1690188380889595e-05</internalNodes>
<leafValues>
-4.6343493461608887e-01 1.7971789836883545e-01</leafValues></_>
<_>
<internalNodes>
0 -1 227 -1.0036278981715441e-03</internalNodes>
<leafValues>
7.2226893901824951e-01 -9.3083359301090240e-02</leafValues></_>
<_>
<internalNodes>
0 -1 82 -2.2476268932223320e-03</internalNodes>
<leafValues>
4.3314450979232788e-01 -1.6563388705253601e-01</leafValues></_></weakClassifiers></_>
<!-- stage 19 -->
<_>
<maxWeakCount>27</maxWeakCount>
<stageThreshold>-9.2020761966705322e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 157 4.3288461165502667e-04</internalNodes>
<leafValues>
3.3744856715202332e-01 -6.4788734912872314e-01</leafValues></_>
<_>
<internalNodes>
0 -1 175 -9.0560679382178932e-05</internalNodes>
<leafValues>
3.0880388617515564e-01 -2.7068552374839783e-01</leafValues></_>
<_>
<internalNodes>
0 -1 6 8.5054412484169006e-02</internalNodes>
<leafValues>
-3.3314478397369385e-01 2.7290627360343933e-01</leafValues></_>
<_>
<internalNodes>
0 -1 94 2.0685014897026122e-04</internalNodes>
<leafValues>
-2.5078666210174561e-01 2.7232873439788818e-01</leafValues></_>
<_>
<internalNodes>
0 -1 84 2.2668554447591305e-03</internalNodes>
<leafValues>
-2.5410947203636169e-01 2.8432664275169373e-01</leafValues></_>
<_>
<internalNodes>
0 -1 241 -9.2622431111522019e-05</internalNodes>
<leafValues>
3.8927426934242249e-01 -2.4665194749832153e-01</leafValues></_>
<_>
<internalNodes>
0 -1 100 1.2189670233055949e-03</internalNodes>
<leafValues>
1.2150439620018005e-01 -5.5141651630401611e-01</leafValues></_>
<_>
<internalNodes>
0 -1 97 -2.3040641099214554e-03</internalNodes>
<leafValues>
-6.2163704633712769e-01 1.1318777501583099e-01</leafValues></_>
<_>
<internalNodes>
0 -1 130 1.1731681297533214e-05</internalNodes>
<leafValues>
-2.8960484266281128e-01 2.5482824444770813e-01</leafValues></_>
<_>
<internalNodes>
0 -1 318 -4.9613986629992723e-04</internalNodes>
<leafValues>
7.1772474050521851e-01 -1.0283130407333374e-01</leafValues></_>
<_>
<internalNodes>
0 -1 265 2.1249481942504644e-03</internalNodes>
<leafValues>
1.3424918055534363e-01 -6.0426735877990723e-01</leafValues></_>
<_>
<internalNodes>
0 -1 44 9.2898570001125336e-03</internalNodes>
<leafValues>
-1.0849850624799728e-01 7.1774631738662720e-01</leafValues></_>
<_>
<internalNodes>
0 -1 315 -6.7929038777947426e-04</internalNodes>
<leafValues>
6.1899632215499878e-01 -9.6553370356559753e-02</leafValues></_>
<_>
<internalNodes>
0 -1 143 -1.4269005987443961e-05</internalNodes>
<leafValues>
-3.4404718875885010e-01 2.0205223560333252e-01</leafValues></_>
<_>
<internalNodes>
0 -1 11 -1.3191154599189758e-01</internalNodes>
<leafValues>
-3.6368417739868164e-01 1.9202631711959839e-01</leafValues></_>
<_>
<internalNodes>
0 -1 91 -1.5394852496683598e-02</internalNodes>
<leafValues>
3.4348893165588379e-01 -2.2002710402011871e-01</leafValues></_>
<_>
<internalNodes>
0 -1 242 1.0289929196005687e-04</internalNodes>
<leafValues>
-2.2920848429203033e-01 3.0971741676330566e-01</leafValues></_>
<_>
<internalNodes>
0 -1 161 -4.6558165922760963e-03</internalNodes>
<leafValues>
-7.2353839874267578e-01 8.8608667254447937e-02</leafValues></_>
<_>
<internalNodes>
0 -1 55 6.1999895842745900e-04</internalNodes>
<leafValues>
-1.8239374458789825e-01 3.8779234886169434e-01</leafValues></_>
<_>
<internalNodes>
0 -1 200 -1.1136975081171840e-04</internalNodes>
<leafValues>
-3.9930596947669983e-01 1.7136697471141815e-01</leafValues></_>
<_>
<internalNodes>
0 -1 311 -4.4833039282821119e-04</internalNodes>
<leafValues>
4.6835288405418396e-01 -1.6528794169425964e-01</leafValues></_>
<_>
<internalNodes>
0 -1 321 3.4343938750680536e-05</internalNodes>
<leafValues>
2.0816141366958618e-01 -3.3898574113845825e-01</leafValues></_>
<_>
<internalNodes>
0 -1 35 -5.3012906573712826e-04</internalNodes>
<leafValues>
9.5363205671310425e-01 -7.6169230043888092e-02</leafValues></_>
<_>
<internalNodes>
0 -1 48 3.3576754503883421e-05</internalNodes>
<leafValues>
2.2130104899406433e-01 -2.9946711659431458e-01</leafValues></_>
<_>
<internalNodes>
0 -1 174 1.9545655231922865e-04</internalNodes>
<leafValues>
-2.1446916460990906e-01 2.9645389318466187e-01</leafValues></_>
<_>
<internalNodes>
0 -1 142 5.0412844866514206e-03</internalNodes>
<leafValues>
-1.8776674568653107e-01 4.0999573469161987e-01</leafValues></_>
<_>
<internalNodes>
0 -1 178 -3.7511803384404629e-05</internalNodes>
<leafValues>
2.2656503319740295e-01 -2.9226210713386536e-01</leafValues></_></weakClassifiers></_></stages>
<features>
<_>
<rects>
<_>
0 1 3 36 -1.</_>
<_>
0 19 3 18 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 1 69 24 -1.</_>
<_>
23 9 23 8 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 5 2 18 -1.</_>
<_>
0 14 2 9 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 8 80 30 -1.</_>
<_>
40 8 40 30 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 11 63 8 -1.</_>
<_>
21 11 21 8 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 12 20 13 -1.</_>
<_>
10 12 10 13 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 13 46 27 -1.</_>
<_>
0 22 46 9 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 14 32 6 -1.</_>
<_>
0 17 32 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 19 48 4 -1.</_>
<_>
12 19 24 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 23 80 2 -1.</_>
<_>
20 23 40 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 25 76 8 -1.</_>
<_>
19 25 38 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 7 78 30 -1.</_>
<_>
27 17 26 10 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 10 21 13 -1.</_>
<_>
8 10 7 13 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 17 18 14 -1.</_>
<_>
10 17 9 14 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 18 78 21 -1.</_>
<_>
27 25 26 7 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 20 12 3 -1.</_>
<_>
5 20 4 3 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 2 18 33 -1.</_>
<_>
8 2 6 33 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 13 20 23 -1.</_>
<_>
12 13 10 23 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 5 10 29 -1.</_>
<_>
8 5 5 29 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 9 14 19 -1.</_>
<_>
10 9 7 19 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 0 20 39 -1.</_>
<_>
9 0 10 39 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 9 14 29 -1.</_>
<_>
11 9 7 29 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 9 36 28 -1.</_>
<_>
4 9 18 14 2.</_>
<_>
22 23 18 14 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 15 76 18 -1.</_>
<_>
23 15 38 18 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 2 6 32 -1.</_>
<_>
7 2 2 32 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 2 68 36 -1.</_>
<_>
5 20 68 18 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 12 17 3 -1.</_>
<_>
4 13 17 1 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
5 15 30 4 -1.</_>
<_>
5 17 30 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 24 20 2 -1.</_>
<_>
5 25 20 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 19 3 6 -1.</_>
<_>
7 19 1 6 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 7 6 3 -1.</_>
<_>
9 9 2 3 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
7 11 3 22 -1.</_>
<_>
8 11 1 22 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 14 3 13 -1.</_>
<_>
8 14 1 13 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 15 4 20 -1.</_>
<_>
8 15 2 20 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 16 17 6 -1.</_>
<_>
5 18 17 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
7 20 3 2 -1.</_>
<_>
8 20 1 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 9 3 29 -1.</_>
<_>
9 9 1 29 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 14 39 15 -1.</_>
<_>
21 19 13 5 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 15 10 22 -1.</_>
<_>
8 15 5 11 2.</_>
<_>
13 26 5 11 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 16 8 8 -1.</_>
<_>
11 16 4 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 10 3 17 -1.</_>
<_>
11 10 1 17 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 10 9 1 -1.</_>
<_>
13 13 3 1 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
10 13 31 8 -1.</_>
<_>
10 15 31 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 14 2 18 -1.</_>
<_>
10 14 1 9 2.</_>
<_>
11 23 1 9 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 14 19 6 -1.</_>
<_>
8 16 19 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
10 17 56 9 -1.</_>
<_>
10 20 56 3 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 12 3 13 -1.</_>
<_>
12 12 1 13 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 17 26 4 -1.</_>
<_>
11 19 26 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 31 1 2 -1.</_>
<_>
11 31 1 1 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
12 10 2 22 -1.</_>
<_>
12 10 1 11 2.</_>
<_>
13 21 1 11 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 17 15 6 -1.</_>
<_>
10 19 15 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
13 30 61 10 -1.</_>
<_>
13 35 61 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 10 12 10 -1.</_>
<_>
14 15 12 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 11 48 3 -1.</_>
<_>
27 11 24 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 21 11 8 -1.</_>
<_>
15 21 11 4 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
15 36 38 3 -1.</_>
<_>
15 37 38 1 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 17 11 12 -1.</_>
<_>
12 21 11 4 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
16 17 58 9 -1.</_>
<_>
16 20 58 3 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
18 0 48 18 -1.</_>
<_>
34 6 16 6 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
18 11 44 26 -1.</_>
<_>
29 11 22 26 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
18 11 13 16 -1.</_>
<_>
14 15 13 8 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
18 13 40 5 -1.</_>
<_>
28 13 20 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 0 42 24 -1.</_>
<_>
33 8 14 8 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 2 20 21 -1.</_>
<_>
19 9 20 7 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 6 13 22 -1.</_>
<_>
19 17 13 11 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 19 8 12 -1.</_>
<_>
15 23 8 4 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
20 11 31 8 -1.</_>
<_>
20 15 31 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
21 0 12 18 -1.</_>
<_>
21 6 12 6 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
21 4 15 21 -1.</_>
<_>
14 11 15 7 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
21 14 17 12 -1.</_>
<_>
21 20 17 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
22 0 42 14 -1.</_>
<_>
22 0 21 7 2.</_>
<_>
43 7 21 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
22 15 28 5 -1.</_>
<_>
29 15 14 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
22 16 51 6 -1.</_>
<_>
39 18 17 2 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 0 17 6 -1.</_>
<_>
21 2 17 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
23 2 7 18 -1.</_>
<_>
23 8 7 6 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 5 9 16 -1.</_>
<_>
19 9 9 8 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
23 15 4 2 -1.</_>
<_>
24 16 2 2 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
24 19 5 4 -1.</_>
<_>
24 21 5 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
24 22 9 6 -1.</_>
<_>
24 22 9 3 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
24 23 6 1 -1.</_>
<_>
24 23 3 1 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
24 26 9 8 -1.</_>
<_>
24 30 9 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
25 3 21 16 -1.</_>
<_>
21 7 21 8 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
25 4 14 12 -1.</_>
<_>
25 4 7 6 2.</_>
<_>
32 10 7 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
25 11 15 2 -1.</_>
<_>
30 11 5 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
25 12 25 8 -1.</_>
<_>
25 16 25 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
26 20 6 7 -1.</_>
<_>
28 20 2 7 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
26 20 3 8 -1.</_>
<_>
26 24 3 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
27 5 9 18 -1.</_>
<_>
21 11 9 6 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
27 9 20 29 -1.</_>
<_>
32 9 10 29 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
27 10 18 14 -1.</_>
<_>
27 17 18 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
27 11 12 5 -1.</_>
<_>
30 11 6 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
27 16 40 6 -1.</_>
<_>
37 16 20 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
27 19 9 9 -1.</_>
<_>
30 19 3 9 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
27 22 6 2 -1.</_>
<_>
29 22 2 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
27 26 5 4 -1.</_>
<_>
27 28 5 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
27 32 44 8 -1.</_>
<_>
27 34 44 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
28 9 9 12 -1.</_>
<_>
31 12 3 12 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
28 11 6 9 -1.</_>
<_>
30 13 2 9 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
28 11 12 5 -1.</_>
<_>
31 11 6 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
28 11 15 15 -1.</_>
<_>
33 16 5 5 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
28 12 6 9 -1.</_>
<_>
30 14 2 9 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
28 12 9 14 -1.</_>
<_>
31 12 3 14 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
28 14 4 9 -1.</_>
<_>
29 15 2 9 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
28 15 32 8 -1.</_>
<_>
36 15 16 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
28 17 20 2 -1.</_>
<_>
33 17 10 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
28 18 4 4 -1.</_>
<_>
29 19 2 4 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
28 20 15 7 -1.</_>
<_>
33 20 5 7 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
28 24 6 1 -1.</_>
<_>
30 24 2 1 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
28 30 9 10 -1.</_>
<_>
28 35 9 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
29 7 12 21 -1.</_>
<_>
33 14 4 7 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
29 11 6 6 -1.</_>
<_>
27 13 6 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
29 12 9 3 -1.</_>
<_>
32 12 3 3 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
29 13 12 4 -1.</_>
<_>
32 13 6 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
29 16 18 12 -1.</_>
<_>
35 16 6 12 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
29 17 21 10 -1.</_>
<_>
36 17 7 10 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
29 22 6 3 -1.</_>
<_>
31 22 2 3 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
29 28 3 4 -1.</_>
<_>
29 30 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
30 6 12 30 -1.</_>
<_>
33 6 6 30 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
30 11 27 15 -1.</_>
<_>
39 11 9 15 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
30 12 8 12 -1.</_>
<_>
32 14 4 12 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
30 12 9 22 -1.</_>
<_>
33 12 3 22 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
30 13 16 3 -1.</_>
<_>
34 13 8 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
30 15 4 8 -1.</_>
<_>
31 16 2 8 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
30 22 4 4 -1.</_>
<_>
30 24 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
30 26 4 2 -1.</_>
<_>
31 26 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
30 27 6 1 -1.</_>
<_>
32 27 2 1 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
30 32 13 8 -1.</_>
<_>
30 34 13 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
31 11 12 4 -1.</_>
<_>
34 11 6 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
31 11 9 24 -1.</_>
<_>
34 11 3 24 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
31 14 15 20 -1.</_>
<_>
31 19 15 10 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
31 19 9 1 -1.</_>
<_>
34 19 3 1 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
31 19 18 4 -1.</_>
<_>
31 19 9 2 2.</_>
<_>
40 21 9 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
31 31 1 9 -1.</_>
<_>
31 34 1 3 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
31 38 16 2 -1.</_>
<_>
31 38 8 1 2.</_>
<_>
39 39 8 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
32 13 9 13 -1.</_>
<_>
35 16 3 13 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
32 14 8 4 -1.</_>
<_>
34 14 4 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
32 14 18 11 -1.</_>
<_>
38 14 6 11 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
32 17 8 3 -1.</_>
<_>
34 17 4 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
32 24 3 2 -1.</_>
<_>
33 25 1 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
32 25 6 5 -1.</_>
<_>
34 25 2 5 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 11 8 1 -1.</_>
<_>
33 11 4 1 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
33 11 10 16 -1.</_>
<_>
33 15 10 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 11 18 10 -1.</_>
<_>
33 16 18 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 12 9 3 -1.</_>
<_>
36 12 3 3 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 12 9 6 -1.</_>
<_>
36 12 3 6 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 12 4 6 -1.</_>
<_>
33 14 4 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 12 10 20 -1.</_>
<_>
33 22 10 10 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 13 20 1 -1.</_>
<_>
38 13 10 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 14 8 18 -1.</_>
<_>
35 14 4 18 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 17 12 1 -1.</_>
<_>
36 17 6 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 18 15 2 -1.</_>
<_>
38 18 5 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
33 20 12 2 -1.</_>
<_>
33 20 6 1 2.</_>
<_>
39 21 6 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
34 9 6 2 -1.</_>
<_>
34 9 3 2 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
34 9 7 16 -1.</_>
<_>
34 13 7 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
34 10 6 3 -1.</_>
<_>
36 12 2 3 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
34 10 8 17 -1.</_>
<_>
36 10 4 17 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
34 11 6 21 -1.</_>
<_>
36 13 2 21 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
34 16 5 4 -1.</_>
<_>
34 17 5 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
34 25 8 2 -1.</_>
<_>
36 25 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
34 26 6 4 -1.</_>
<_>
36 26 2 4 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 2 36 36 -1.</_>
<_>
35 2 18 18 2.</_>
<_>
53 20 18 18 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 9 12 29 -1.</_>
<_>
39 9 4 29 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 9 6 16 -1.</_>
<_>
35 13 6 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 9 7 8 -1.</_>
<_>
35 11 7 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 9 10 26 -1.</_>
<_>
35 22 10 13 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 10 9 8 -1.</_>
<_>
38 10 3 8 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 11 12 1 -1.</_>
<_>
38 11 6 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 12 8 14 -1.</_>
<_>
37 12 4 14 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 12 7 15 -1.</_>
<_>
35 17 7 5 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 13 12 5 -1.</_>
<_>
38 13 6 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 13 3 21 -1.</_>
<_>
28 20 3 7 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
35 14 6 10 -1.</_>
<_>
37 16 2 10 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
35 15 6 4 -1.</_>
<_>
35 17 6 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 16 2 9 -1.</_>
<_>
35 19 2 3 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 17 12 2 -1.</_>
<_>
39 17 4 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 18 5 2 -1.</_>
<_>
35 19 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
35 28 12 12 -1.</_>
<_>
35 31 12 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 11 9 6 -1.</_>
<_>
39 13 3 2 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 12 2 4 -1.</_>
<_>
36 14 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 12 6 2 -1.</_>
<_>
38 14 2 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
36 12 9 5 -1.</_>
<_>
39 12 3 5 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 12 6 8 -1.</_>
<_>
36 14 6 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 14 9 11 -1.</_>
<_>
39 14 3 11 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 14 4 6 -1.</_>
<_>
36 16 4 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 15 4 4 -1.</_>
<_>
36 17 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 16 15 2 -1.</_>
<_>
41 16 5 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 18 1 4 -1.</_>
<_>
35 19 1 2 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
36 18 16 4 -1.</_>
<_>
36 18 8 2 2.</_>
<_>
44 20 8 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 19 9 3 -1.</_>
<_>
39 20 3 1 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 21 4 2 -1.</_>
<_>
36 21 2 1 2.</_>
<_>
38 22 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 24 1 2 -1.</_>
<_>
36 25 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 24 4 6 -1.</_>
<_>
37 24 2 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 24 4 1 -1.</_>
<_>
38 24 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 25 4 4 -1.</_>
<_>
37 25 2 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 26 6 2 -1.</_>
<_>
38 26 2 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 26 8 3 -1.</_>
<_>
38 26 4 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 26 9 3 -1.</_>
<_>
39 26 3 3 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
36 34 4 6 -1.</_>
<_>
36 36 4 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 2 9 28 -1.</_>
<_>
40 2 3 28 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 8 12 14 -1.</_>
<_>
37 15 12 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 9 4 2 -1.</_>
<_>
37 9 2 2 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
37 10 6 30 -1.</_>
<_>
39 20 2 10 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 12 8 18 -1.</_>
<_>
39 12 4 18 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 13 9 15 -1.</_>
<_>
40 13 3 15 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 14 4 2 -1.</_>
<_>
37 14 2 2 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
37 14 3 12 -1.</_>
<_>
37 18 3 4 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 14 5 2 -1.</_>
<_>
37 15 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 17 4 2 -1.</_>
<_>
37 18 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 18 3 2 -1.</_>
<_>
37 19 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 18 7 12 -1.</_>
<_>
37 24 7 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 19 1 2 -1.</_>
<_>
37 20 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 19 1 3 -1.</_>
<_>
37 20 1 1 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 19 9 3 -1.</_>
<_>
40 20 3 1 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 19 15 1 -1.</_>
<_>
42 19 5 1 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
37 20 5 6 -1.</_>
<_>
37 22 5 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 10 6 16 -1.</_>
<_>
40 12 2 16 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
38 10 40 16 -1.</_>
<_>
38 10 20 8 2.</_>
<_>
58 18 20 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 11 12 19 -1.</_>
<_>
42 11 4 19 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 14 2 6 -1.</_>
<_>
38 16 2 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 15 3 4 -1.</_>
<_>
38 17 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 15 9 2 -1.</_>
<_>
41 15 3 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 17 6 2 -1.</_>
<_>
38 17 3 2 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
38 18 3 3 -1.</_>
<_>
39 19 1 1 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 18 2 2 -1.</_>
<_>
38 19 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 19 3 2 -1.</_>
<_>
38 20 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 24 6 4 -1.</_>
<_>
40 24 2 4 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 25 2 2 -1.</_>
<_>
38 26 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
38 37 13 3 -1.</_>
<_>
38 38 13 1 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
39 4 7 27 -1.</_>
<_>
30 13 7 9 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
39 8 9 25 -1.</_>
<_>
42 8 3 25 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
39 12 1 8 -1.</_>
<_>
39 14 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
39 13 15 3 -1.</_>
<_>
44 18 5 3 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
39 15 20 3 -1.</_>
<_>
44 15 10 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
39 17 1 2 -1.</_>
<_>
39 18 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
39 18 1 2 -1.</_>
<_>
39 19 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
39 19 1 3 -1.</_>
<_>
39 20 1 1 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
39 23 1 2 -1.</_>
<_>
39 24 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
40 7 9 25 -1.</_>
<_>
43 7 3 25 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
40 10 9 12 -1.</_>
<_>
40 16 9 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
40 12 4 2 -1.</_>
<_>
41 13 2 2 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
40 15 12 3 -1.</_>
<_>
43 18 6 3 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
40 19 3 2 -1.</_>
<_>
40 20 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
40 19 9 3 -1.</_>
<_>
43 20 3 1 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
40 23 1 2 -1.</_>
<_>
40 23 1 1 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
41 7 9 27 -1.</_>
<_>
44 7 3 27 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
41 8 15 6 -1.</_>
<_>
39 10 15 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
41 11 9 24 -1.</_>
<_>
44 11 3 24 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
41 15 1 4 -1.</_>
<_>
41 17 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
41 15 12 3 -1.</_>
<_>
44 18 6 3 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
42 12 1 18 -1.</_>
<_>
42 18 1 6 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
42 18 2 2 -1.</_>
<_>
42 18 1 2 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
42 18 3 2 -1.</_>
<_>
42 19 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
42 19 12 3 -1.</_>
<_>
46 20 4 1 9.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
43 8 13 6 -1.</_>
<_>
41 10 13 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
43 13 10 6 -1.</_>
<_>
41 15 10 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
43 23 1 2 -1.</_>
<_>
43 23 1 1 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
44 14 4 2 -1.</_>
<_>
45 15 2 2 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
44 20 36 7 -1.</_>
<_>
53 20 18 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
45 5 20 9 -1.</_>
<_>
50 10 10 9 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
45 28 6 2 -1.</_>
<_>
47 28 2 2 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
46 6 15 3 -1.</_>
<_>
51 11 5 3 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
46 10 3 6 -1.</_>
<_>
44 12 3 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
46 10 11 8 -1.</_>
<_>
44 12 11 4 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
46 27 6 6 -1.</_>
<_>
46 30 6 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
47 10 8 8 -1.</_>
<_>
47 10 4 8 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
47 12 13 6 -1.</_>
<_>
45 14 13 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
48 14 18 8 -1.</_>
<_>
46 16 18 4 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
49 3 20 12 -1.</_>
<_>
54 8 10 12 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
49 5 21 14 -1.</_>
<_>
56 12 7 14 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
49 9 14 12 -1.</_>
<_>
46 12 14 6 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
50 10 13 9 -1.</_>
<_>
47 13 13 3 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
50 21 30 14 -1.</_>
<_>
65 21 15 14 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
51 2 4 10 -1.</_>
<_>
51 2 2 5 2.</_>
<_>
53 7 2 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
51 8 8 8 -1.</_>
<_>
53 10 4 8 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
51 25 1 6 -1.</_>
<_>
51 28 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
52 4 20 15 -1.</_>
<_>
57 9 10 15 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
52 12 12 6 -1.</_>
<_>
50 14 12 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
52 15 28 20 -1.</_>
<_>
66 15 14 20 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
53 1 16 16 -1.</_>
<_>
53 1 16 8 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
53 12 18 7 -1.</_>
<_>
59 18 6 7 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
53 21 6 11 -1.</_>
<_>
53 21 3 11 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
54 4 4 14 -1.</_>
<_>
55 5 2 14 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
54 11 10 1 -1.</_>
<_>
54 11 5 1 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
54 14 24 12 -1.</_>
<_>
60 14 12 12 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
55 11 18 11 -1.</_>
<_>
61 17 6 11 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
55 14 5 6 -1.</_>
<_>
53 16 5 2 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
55 16 21 3 -1.</_>
<_>
62 23 7 3 3.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
55 19 8 7 -1.</_>
<_>
55 19 4 7 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
56 6 16 16 -1.</_>
<_>
60 10 8 16 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
56 12 24 8 -1.</_>
<_>
68 12 12 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
57 9 16 15 -1.</_>
<_>
61 13 8 15 2.</_></rects>
<tilted>1</tilted></_>
<_>
<rects>
<_>
57 14 21 12 -1.</_>
<_>
64 14 7 12 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
57 21 14 7 -1.</_>
<_>
64 21 7 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
57 23 6 2 -1.</_>
<_>
57 23 3 2 2.</_></rects>
<tilted>1</tilted></_>