Nickiel/WGU-Capstone
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity
WGU-Capstone/cascades/cascade_5.xml

2944 lines
81 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>-1.2763893604278564e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 115 -1.5079094097018242e-02</internalNodes>
<leafValues>
8.6844295263290405e-01 -8.1163924932479858e-01</leafValues></_>
<_>
<internalNodes>
0 -1 146 -3.5153999924659729e-02</internalNodes>
<leafValues>
-8.6918640136718750e-01 6.8400031328201294e-01</leafValues></_></weakClassifiers></_>
<!-- stage 1 -->
<_>
<maxWeakCount>5</maxWeakCount>
<stageThreshold>-7.3173880577087402e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 178 -3.2498940825462341e-02</internalNodes>
<leafValues>
-7.7616924047470093e-01 7.1097165346145630e-01</leafValues></_>
<_>
<internalNodes>
0 -1 81 -2.1663390100002289e-02</internalNodes>
<leafValues>
5.8753365278244019e-01 -7.1195811033248901e-01</leafValues></_>
<_>
<internalNodes>
0 -1 184 1.7952647060155869e-02</internalNodes>
<leafValues>
-5.7658696174621582e-01 7.1383655071258545e-01</leafValues></_>
<_>
<internalNodes>
0 -1 7 3.9086312055587769e-02</internalNodes>
<leafValues>
-4.4980281591415405e-01 8.8654100894927979e-01</leafValues></_>
<_>
<internalNodes>
0 -1 37 -2.5440651923418045e-02</internalNodes>
<leafValues>
4.9235478043556213e-01 -5.6011688709259033e-01</leafValues></_></weakClassifiers></_>
<!-- stage 2 -->
<_>
<maxWeakCount>6</maxWeakCount>
<stageThreshold>-1.0909484624862671e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 180 -2.1458094939589500e-02</internalNodes>
<leafValues>
-7.4368453025817871e-01 6.4741182327270508e-01</leafValues></_>
<_>
<internalNodes>
0 -1 14 1.5592198818922043e-02</internalNodes>
<leafValues>
-5.6794512271881104e-01 6.9361335039138794e-01</leafValues></_>
<_>
<internalNodes>
0 -1 185 2.9301982372999191e-02</internalNodes>
<leafValues>
-4.9884498119354248e-01 6.8395256996154785e-01</leafValues></_>
<_>
<internalNodes>
0 -1 95 -4.0902495384216309e-03</internalNodes>
<leafValues>
5.6969094276428223e-01 -4.7739464044570923e-01</leafValues></_>
<_>
<internalNodes>
0 -1 2 -1.8223647028207779e-02</internalNodes>
<leafValues>
4.1943073272705078e-01 -4.6061217784881592e-01</leafValues></_>
<_>
<internalNodes>
0 -1 132 -2.4209227412939072e-03</internalNodes>
<leafValues>
2.6643663644790649e-01 -7.8619831800460815e-01</leafValues></_></weakClassifiers></_>
<!-- stage 3 -->
<_>
<maxWeakCount>9</maxWeakCount>
<stageThreshold>-1.0391002893447876e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 115 -1.4554407447576523e-02</internalNodes>
<leafValues>
5.7087033987045288e-01 -7.3132073879241943e-01</leafValues></_>
<_>
<internalNodes>
0 -1 8 4.7055870294570923e-02</internalNodes>
<leafValues>
-4.0189424157142639e-01 6.2544900178909302e-01</leafValues></_>
<_>
<internalNodes>
0 -1 189 2.0262233912944794e-02</internalNodes>
<leafValues>
-4.4466215372085571e-01 4.9034339189529419e-01</leafValues></_>
<_>
<internalNodes>
0 -1 87 -1.8133465200662613e-02</internalNodes>
<leafValues>
4.7888121008872986e-01 -4.0879711508750916e-01</leafValues></_>
<_>
<internalNodes>
0 -1 55 -5.9412043541669846e-02</internalNodes>
<leafValues>
5.1816189289093018e-01 -3.4566336870193481e-01</leafValues></_>
<_>
<internalNodes>
0 -1 38 -2.1126233041286469e-02</internalNodes>
<leafValues>
2.9759517312049866e-01 -6.0361784696578979e-01</leafValues></_>
<_>
<internalNodes>
0 -1 121 2.9001070652157068e-03</internalNodes>
<leafValues>
-4.6895989775657654e-01 2.5327932834625244e-01</leafValues></_>
<_>
<internalNodes>
0 -1 155 -1.1355893686413765e-02</internalNodes>
<leafValues>
-7.6828998327255249e-01 1.6946949064731598e-01</leafValues></_>
<_>
<internalNodes>
0 -1 160 -5.0709262490272522e-02</internalNodes>
<leafValues>
3.9874315261840820e-01 -3.4857749938964844e-01</leafValues></_></weakClassifiers></_>
<!-- stage 4 -->
<_>
<maxWeakCount>12</maxWeakCount>
<stageThreshold>-9.5537942647933960e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 83 -1.8642980605363846e-02</internalNodes>
<leafValues>
6.2818592786788940e-01 -3.0096238851547241e-01</leafValues></_>
<_>
<internalNodes>
0 -1 85 1.2120470404624939e-02</internalNodes>
<leafValues>
-2.3554250597953796e-01 7.1313071250915527e-01</leafValues></_>
<_>
<internalNodes>
0 -1 15 5.8753058314323425e-02</internalNodes>
<leafValues>
-2.6897451281547546e-01 5.6188946962356567e-01</leafValues></_>
<_>
<internalNodes>
0 -1 183 4.5025557279586792e-02</internalNodes>
<leafValues>
-3.2439818978309631e-01 5.3991603851318359e-01</leafValues></_>
<_>
<internalNodes>
0 -1 51 -9.4727892428636551e-03</internalNodes>
<leafValues>
7.9938215017318726e-01 -1.4815305173397064e-01</leafValues></_>
<_>
<internalNodes>
0 -1 84 -1.6652686521410942e-02</internalNodes>
<leafValues>
2.9009887576103210e-01 -4.4743424654006958e-01</leafValues></_>
<_>
<internalNodes>
0 -1 148 -1.6595571651123464e-04</internalNodes>
<leafValues>
2.1718332171440125e-01 -5.9600311517715454e-01</leafValues></_>
<_>
<internalNodes>
0 -1 77 -3.1202693935483694e-03</internalNodes>
<leafValues>
2.1891571581363678e-01 -5.4481655359268188e-01</leafValues></_>
<_>
<internalNodes>
0 -1 153 -2.4423349648714066e-02</internalNodes>
<leafValues>
5.6839317083358765e-01 -2.4236407876014709e-01</leafValues></_>
<_>
<internalNodes>
0 -1 21 -4.7194975195452571e-04</internalNodes>
<leafValues>
-5.8629125356674194e-01 2.0007106661796570e-01</leafValues></_>
<_>
<internalNodes>
0 -1 21 2.6285875355824828e-04</internalNodes>
<leafValues>
2.2030593454837799e-01 -5.0745230913162231e-01</leafValues></_>
<_>
<internalNodes>
0 -1 66 -3.6641331389546394e-03</internalNodes>
<leafValues>
2.3162680864334106e-01 -4.1932421922683716e-01</leafValues></_></weakClassifiers></_>
<!-- stage 5 -->
<_>
<maxWeakCount>15</maxWeakCount>
<stageThreshold>-9.7254633903503418e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 92 -1.8220908939838409e-02</internalNodes>
<leafValues>
5.1095938682556152e-01 -4.3124550580978394e-01</leafValues></_>
<_>
<internalNodes>
0 -1 25 3.3035911619663239e-02</internalNodes>
<leafValues>
-2.5458380579948425e-01 5.8997815847396851e-01</leafValues></_>
<_>
<internalNodes>
0 -1 161 2.9791103675961494e-02</internalNodes>
<leafValues>
-4.4257751107215881e-01 3.2599747180938721e-01</leafValues></_>
<_>
<internalNodes>
0 -1 174 -2.4248953908681870e-02</internalNodes>
<leafValues>
-8.4718394279479980e-01 1.6067425906658173e-01</leafValues></_>
<_>
<internalNodes>
0 -1 104 -9.2574404552578926e-03</internalNodes>
<leafValues>
5.9093320369720459e-01 -2.6214858889579773e-01</leafValues></_>
<_>
<internalNodes>
0 -1 126 8.3955470472574234e-03</internalNodes>
<leafValues>
-2.1417047083377838e-01 5.9279417991638184e-01</leafValues></_>
<_>
<internalNodes>
0 -1 4 -4.4119014637544751e-04</internalNodes>
<leafValues>
-6.4635133743286133e-01 1.7437291145324707e-01</leafValues></_>
<_>
<internalNodes>
0 -1 4 2.6283200713805854e-04</internalNodes>
<leafValues>
2.3255486786365509e-01 -5.2904516458511353e-01</leafValues></_>
<_>
<internalNodes>
0 -1 94 -4.6987785026431084e-03</internalNodes>
<leafValues>
2.4230781197547913e-01 -4.4951111078262329e-01</leafValues></_>
<_>
<internalNodes>
0 -1 131 -2.2802643943578005e-03</internalNodes>
<leafValues>
1.1481438577175140e-01 -7.3701405525207520e-01</leafValues></_>
<_>
<internalNodes>
0 -1 23 -2.7516824193298817e-03</internalNodes>
<leafValues>
-6.8744248151779175e-01 1.2152757495641708e-01</leafValues></_>
<_>
<internalNodes>
0 -1 32 -2.2703181952238083e-02</internalNodes>
<leafValues>
2.7795845270156860e-01 -3.0650475621223450e-01</leafValues></_>
<_>
<internalNodes>
0 -1 209 -1.2144479900598526e-02</internalNodes>
<leafValues>
8.0222630500793457e-01 -1.1942224949598312e-01</leafValues></_>
<_>
<internalNodes>
0 -1 133 5.7620611041784286e-03</internalNodes>
<leafValues>
-1.3861164450645447e-01 5.4360026121139526e-01</leafValues></_>
<_>
<internalNodes>
0 -1 70 -4.1200350970029831e-02</internalNodes>
<leafValues>
2.5400856137275696e-01 -3.5185176134109497e-01</leafValues></_></weakClassifiers></_>
<!-- stage 6 -->
<_>
<maxWeakCount>16</maxWeakCount>
<stageThreshold>-1.0379941463470459e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 13 3.2716855406761169e-02</internalNodes>
<leafValues>
-1.7638209462165833e-01 6.3175046443939209e-01</leafValues></_>
<_>
<internalNodes>
0 -1 68 -1.0849040746688843e-01</internalNodes>
<leafValues>
3.0452081561088562e-01 -4.8870557546615601e-01</leafValues></_>
<_>
<internalNodes>
0 -1 35 1.3686069287359715e-02</internalNodes>
<leafValues>
-2.4381329119205475e-01 4.7492465376853943e-01</leafValues></_>
<_>
<internalNodes>
0 -1 108 7.2882208041846752e-04</internalNodes>
<leafValues>
-4.5106494426727295e-01 2.7294403314590454e-01</leafValues></_>
<_>
<internalNodes>
0 -1 18 -4.5818172395229340e-02</internalNodes>
<leafValues>
-2.1133233606815338e-01 6.4258128404617310e-01</leafValues></_>
<_>
<internalNodes>
0 -1 195 5.5200099013745785e-03</internalNodes>
<leafValues>
-2.8692516684532166e-01 4.0745735168457031e-01</leafValues></_>
<_>
<internalNodes>
0 -1 39 -8.1202805042266846e-02</internalNodes>
<leafValues>
1.8133056163787842e-01 -5.9159451723098755e-01</leafValues></_>
<_>
<internalNodes>
0 -1 217 -3.3512825029902160e-04</internalNodes>
<leafValues>
-5.1411825418472290e-01 1.9370149075984955e-01</leafValues></_>
<_>
<internalNodes>
0 -1 217 4.5691587729379535e-04</internalNodes>
<leafValues>
1.8033403158187866e-01 -6.3016682863235474e-01</leafValues></_>
<_>
<internalNodes>
0 -1 40 -1.8620971590280533e-02</internalNodes>
<leafValues>
5.6255161762237549e-01 -1.9813445210456848e-01</leafValues></_>
<_>
<internalNodes>
0 -1 1 -1.0236045345664024e-03</internalNodes>
<leafValues>
-6.3343250751495361e-01 1.3796554505825043e-01</leafValues></_>
<_>
<internalNodes>
0 -1 1 4.9180857604369521e-04</internalNodes>
<leafValues>
1.9294136762619019e-01 -4.4625809788703918e-01</leafValues></_>
<_>
<internalNodes>
0 -1 86 -6.7617865279316902e-03</internalNodes>
<leafValues>
3.5488733649253845e-01 -2.4355173110961914e-01</leafValues></_>
<_>
<internalNodes>
0 -1 158 -2.0391575526446104e-03</internalNodes>
<leafValues>
3.4914377331733704e-01 -2.6217791438102722e-01</leafValues></_>
<_>
<internalNodes>
0 -1 175 6.3393907621502876e-03</internalNodes>
<leafValues>
1.2520048022270203e-01 -7.8171825408935547e-01</leafValues></_>
<_>
<internalNodes>
0 -1 58 -3.0341539531946182e-02</internalNodes>
<leafValues>
6.5654325485229492e-01 -1.3437354564666748e-01</leafValues></_></weakClassifiers></_>
<!-- stage 7 -->
<_>
<maxWeakCount>17</maxWeakCount>
<stageThreshold>-9.5871978998184204e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 122 5.9636346995830536e-03</internalNodes>
<leafValues>
-2.1972236037254333e-01 5.5107975006103516e-01</leafValues></_>
<_>
<internalNodes>
0 -1 56 -3.9157655090093613e-02</internalNodes>
<leafValues>
4.7578835487365723e-01 -2.2747583687305450e-01</leafValues></_>
<_>
<internalNodes>
0 -1 203 4.5028906315565109e-03</internalNodes>
<leafValues>
-1.6306363046169281e-01 6.1564618349075317e-01</leafValues></_>
<_>
<internalNodes>
0 -1 41 7.6375659555196762e-03</internalNodes>
<leafValues>
-1.8502874672412872e-01 5.9372228384017944e-01</leafValues></_>
<_>
<internalNodes>
0 -1 182 3.3664144575595856e-02</internalNodes>
<leafValues>
-3.3607071638107300e-01 2.8603658080101013e-01</leafValues></_>
<_>
<internalNodes>
0 -1 149 -4.0425688028335571e-02</internalNodes>
<leafValues>
1.1122968047857285e-01 -8.5641622543334961e-01</leafValues></_>
<_>
<internalNodes>
0 -1 156 -3.4257389605045319e-02</internalNodes>
<leafValues>
-6.9685477018356323e-01 1.4790405333042145e-01</leafValues></_>
<_>
<internalNodes>
0 -1 6 -5.9472676366567612e-04</internalNodes>
<leafValues>
-6.3688802719116211e-01 1.3010823726654053e-01</leafValues></_>
<_>
<internalNodes>
0 -1 6 3.2603373983874917e-04</internalNodes>
<leafValues>
1.7863143980503082e-01 -4.8742398619651794e-01</leafValues></_>
<_>
<internalNodes>
0 -1 47 7.7321748249232769e-03</internalNodes>
<leafValues>
-3.0985063314437866e-01 3.0025541782379150e-01</leafValues></_>
<_>
<internalNodes>
0 -1 59 -3.9161434397101402e-03</internalNodes>
<leafValues>
2.9956138134002686e-01 -3.0171227455139160e-01</leafValues></_>
<_>
<internalNodes>
0 -1 201 5.2221212536096573e-04</internalNodes>
<leafValues>
1.5586122870445251e-01 -6.0978090763092041e-01</leafValues></_>
<_>
<internalNodes>
0 -1 103 -2.7749813161790371e-03</internalNodes>
<leafValues>
1.5313087403774261e-01 -5.5797344446182251e-01</leafValues></_>
<_>
<internalNodes>
0 -1 214 1.3577141799032688e-03</internalNodes>
<leafValues>
1.3099588453769684e-01 -5.3039693832397461e-01</leafValues></_>
<_>
<internalNodes>
0 -1 166 4.1592433117330074e-03</internalNodes>
<leafValues>
1.1187818646430969e-01 -6.6429972648620605e-01</leafValues></_>
<_>
<internalNodes>
0 -1 172 -3.4202868118882179e-03</internalNodes>
<leafValues>
-6.8114435672760010e-01 1.0995680093765259e-01</leafValues></_>
<_>
<internalNodes>
0 -1 52 -6.0345856472849846e-03</internalNodes>
<leafValues>
5.5550849437713623e-01 -1.6666746139526367e-01</leafValues></_></weakClassifiers></_>
<!-- stage 8 -->
<_>
<maxWeakCount>18</maxWeakCount>
<stageThreshold>-9.8140811920166016e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 212 -8.9513398706912994e-03</internalNodes>
<leafValues>
6.9773465394973755e-01 1.0222804732620716e-02</leafValues></_>
<_>
<internalNodes>
0 -1 24 -1.6941487789154053e-02</internalNodes>
<leafValues>
3.4401482343673706e-01 -3.5359287261962891e-01</leafValues></_>
<_>
<internalNodes>
0 -1 12 5.5363763123750687e-02</internalNodes>
<leafValues>
-2.6874801516532898e-01 4.3099623918533325e-01</leafValues></_>
<_>
<internalNodes>
0 -1 97 2.2338745111483149e-05</internalNodes>
<leafValues>
-4.4218024611473083e-01 1.8668268620967865e-01</leafValues></_>
<_>
<internalNodes>
0 -1 190 4.2726690880954266e-03</internalNodes>
<leafValues>
-4.3710044026374817e-01 1.4618690311908722e-01</leafValues></_>
<_>
<internalNodes>
0 -1 165 -3.6819295928580686e-05</internalNodes>
<leafValues>
2.2846329212188721e-01 -3.4236603975296021e-01</leafValues></_>
<_>
<internalNodes>
0 -1 162 -3.0584600754082203e-03</internalNodes>
<leafValues>
-7.6891702413558960e-01 1.2122077494859695e-01</leafValues></_>
<_>
<internalNodes>
0 -1 191 -3.5187723115086555e-03</internalNodes>
<leafValues>
7.6919220387935638e-02 -7.3701530694961548e-01</leafValues></_>
<_>
<internalNodes>
0 -1 169 -1.1228090152144432e-02</internalNodes>
<leafValues>
-6.9355189800262451e-01 1.1647558957338333e-01</leafValues></_>
<_>
<internalNodes>
0 -1 10 -1.0734366951510310e-03</internalNodes>
<leafValues>
-5.8430367708206177e-01 1.1136088520288467e-01</leafValues></_>
<_>
<internalNodes>
0 -1 10 9.4752595759928226e-04</internalNodes>
<leafValues>
1.6422635316848755e-01 -5.7052290439605713e-01</leafValues></_>
<_>
<internalNodes>
0 -1 135 -8.9940177276730537e-03</internalNodes>
<leafValues>
5.2063244581222534e-01 -1.5565694868564606e-01</leafValues></_>
<_>
<internalNodes>
0 -1 99 2.6678033173084259e-03</internalNodes>
<leafValues>
1.0081759840250015e-01 -7.7688920497894287e-01</leafValues></_>
<_>
<internalNodes>
0 -1 120 1.8532900139689445e-03</internalNodes>
<leafValues>
-2.4780024588108063e-01 3.1139618158340454e-01</leafValues></_>
<_>
<internalNodes>
0 -1 3 -1.8143859505653381e-01</internalNodes>
<leafValues>
-7.0157289505004883e-01 1.1467073112726212e-01</leafValues></_>
<_>
<internalNodes>
0 -1 36 1.6848575323820114e-02</internalNodes>
<leafValues>
-1.8960677087306976e-01 3.7609931826591492e-01</leafValues></_>
<_>
<internalNodes>
0 -1 151 3.7680976092815399e-03</internalNodes>
<leafValues>
8.3504930138587952e-02 -7.5943750143051147e-01</leafValues></_>
<_>
<internalNodes>
0 -1 80 -1.1690892279148102e-03</internalNodes>
<leafValues>
3.2625421881675720e-01 -2.2029046714305878e-01</leafValues></_></weakClassifiers></_>
<!-- stage 9 -->
<_>
<maxWeakCount>20</maxWeakCount>
<stageThreshold>-1.0343323945999146e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 116 -2.3417243734002113e-02</internalNodes>
<leafValues>
6.0203778743743896e-01 -4.1567697189748287e-03</leafValues></_>
<_>
<internalNodes>
0 -1 60 8.9749796316027641e-03</internalNodes>
<leafValues>
-1.9852662086486816e-01 4.3629088997840881e-01</leafValues></_>
<_>
<internalNodes>
0 -1 82 -1.3450257480144501e-02</internalNodes>
<leafValues>
2.3661418259143829e-01 -3.8780400156974792e-01</leafValues></_>
<_>
<internalNodes>
0 -1 41 4.1911285370588303e-03</internalNodes>
<leafValues>
-2.8427332639694214e-01 3.1737610697746277e-01</leafValues></_>
<_>
<internalNodes>
0 -1 194 -2.9300169553607702e-03</internalNodes>
<leafValues>
-6.4885497093200684e-01 1.5584585070610046e-01</leafValues></_>
<_>
<internalNodes>
0 -1 88 -3.3201277256011963e-02</internalNodes>
<leafValues>
1.8850700557231903e-01 -3.7537887692451477e-01</leafValues></_>
<_>
<internalNodes>
0 -1 192 2.7768532745540142e-03</internalNodes>
<leafValues>
1.1044082045555115e-01 -6.8837642669677734e-01</leafValues></_>
<_>
<internalNodes>
0 -1 173 -3.9766666304785758e-05</internalNodes>
<leafValues>
2.4082931876182556e-01 -3.1651887297630310e-01</leafValues></_>
<_>
<internalNodes>
0 -1 20 -6.4471424557268620e-03</internalNodes>
<leafValues>
-5.9932631254196167e-01 1.2409896403551102e-01</leafValues></_>
<_>
<internalNodes>
0 -1 74 -1.2936765328049660e-02</internalNodes>
<leafValues>
-7.7046024799346924e-01 8.9875094592571259e-02</leafValues></_>
<_>
<internalNodes>
0 -1 206 9.7226147772744298e-04</internalNodes>
<leafValues>
9.2577353119850159e-02 -6.6177189350128174e-01</leafValues></_>
<_>
<internalNodes>
0 -1 197 2.9204577207565308e-02</internalNodes>
<leafValues>
-2.1368706226348877e-01 3.2027930021286011e-01</leafValues></_>
<_>
<internalNodes>
0 -1 101 -2.9077334329485893e-03</internalNodes>
<leafValues>
1.8456330895423889e-01 -3.9003109931945801e-01</leafValues></_>
<_>
<internalNodes>
0 -1 177 -1.5125631354749203e-02</internalNodes>
<leafValues>
-9.4256436824798584e-01 7.7487416565418243e-02</leafValues></_>
<_>
<internalNodes>
0 -1 117 -1.0182181373238564e-02</internalNodes>
<leafValues>
4.1613593697547913e-01 -1.8761910498142242e-01</leafValues></_>
<_>
<internalNodes>
0 -1 106 -8.6299786344170570e-03</internalNodes>
<leafValues>
3.5237786173820496e-01 -1.9989980757236481e-01</leafValues></_>
<_>
<internalNodes>
0 -1 200 6.4383610151708126e-04</internalNodes>
<leafValues>
1.3344378769397736e-01 -5.2492004632949829e-01</leafValues></_>
<_>
<internalNodes>
0 -1 205 6.8661221303045750e-04</internalNodes>
<leafValues>
1.1508458107709885e-01 -5.9912455081939697e-01</leafValues></_>
<_>
<internalNodes>
0 -1 9 2.4342481046915054e-03</internalNodes>
<leafValues>
8.2840085029602051e-02 -7.0311194658279419e-01</leafValues></_>
<_>
<internalNodes>
0 -1 136 1.0490104556083679e-02</internalNodes>
<leafValues>
-1.4336641132831573e-01 4.8817428946495056e-01</leafValues></_></weakClassifiers></_>
<!-- stage 10 -->
<_>
<maxWeakCount>22</maxWeakCount>
<stageThreshold>-1.0356667041778564e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 65 1.5041577629745007e-02</internalNodes>
<leafValues>
-1.2303347885608673e-01 5.4424989223480225e-01</leafValues></_>
<_>
<internalNodes>
0 -1 138 2.9822262004017830e-03</internalNodes>
<leafValues>
1.7148290574550629e-01 -6.7730319499969482e-01</leafValues></_>
<_>
<internalNodes>
0 -1 98 -4.4499489013105631e-04</internalNodes>
<leafValues>
1.8166503310203552e-01 -5.3208446502685547e-01</leafValues></_>
<_>
<internalNodes>
0 -1 26 3.2486826181411743e-02</internalNodes>
<leafValues>
-2.5841572880744934e-01 3.5727706551551819e-01</leafValues></_>
<_>
<internalNodes>
0 -1 193 1.0559363290667534e-02</internalNodes>
<leafValues>
-3.7981680035591125e-01 2.3524129390716553e-01</leafValues></_>
<_>
<internalNodes>
0 -1 128 -3.8804218638688326e-03</internalNodes>
<leafValues>
1.3531519472599030e-01 -5.9315961599349976e-01</leafValues></_>
<_>
<internalNodes>
0 -1 145 -7.7364798635244370e-03</internalNodes>
<leafValues>
8.9338272809982300e-02 -7.9907691478729248e-01</leafValues></_>
<_>
<internalNodes>
0 -1 27 -1.7453633248806000e-02</internalNodes>
<leafValues>
-1.8689735233783722e-01 6.2739527225494385e-01</leafValues></_>
<_>
<internalNodes>
0 -1 216 4.9424089957028627e-04</internalNodes>
<leafValues>
1.8126134574413300e-01 -5.0600814819335938e-01</leafValues></_>
<_>
<internalNodes>
0 -1 91 1.3993808533996344e-03</internalNodes>
<leafValues>
-2.2385914623737335e-01 3.5318493843078613e-01</leafValues></_>
<_>
<internalNodes>
0 -1 143 9.1145280748605728e-03</internalNodes>
<leafValues>
-3.6471843719482422e-01 1.8887650966644287e-01</leafValues></_>
<_>
<internalNodes>
0 -1 198 -1.7550235497765243e-05</internalNodes>
<leafValues>
3.2529282569885254e-01 -2.5290447473526001e-01</leafValues></_>
<_>
<internalNodes>
0 -1 216 -3.0779658118262887e-04</internalNodes>
<leafValues>
-4.3478697538375854e-01 1.5845772624015808e-01</leafValues></_>
<_>
<internalNodes>
0 -1 105 -1.3618526980280876e-02</internalNodes>
<leafValues>
5.8022797107696533e-01 -1.1359655112028122e-01</leafValues></_>
<_>
<internalNodes>
0 -1 67 6.0041726101189852e-04</internalNodes>
<leafValues>
1.4675152301788330e-01 -5.0580954551696777e-01</leafValues></_>
<_>
<internalNodes>
0 -1 67 -9.8234065808355808e-04</internalNodes>
<leafValues>
-6.7233669757843018e-01 1.0388449579477310e-01</leafValues></_>
<_>
<internalNodes>
0 -1 72 1.2662298977375031e-03</internalNodes>
<leafValues>
-1.6025301814079285e-01 4.4896623492240906e-01</leafValues></_>
<_>
<internalNodes>
0 -1 31 -3.6621108651161194e-02</internalNodes>
<leafValues>
4.4350776076316833e-01 -1.4538532495498657e-01</leafValues></_>
<_>
<internalNodes>
0 -1 71 4.2834728956222534e-03</internalNodes>
<leafValues>
-1.2839901447296143e-01 5.0090008974075317e-01</leafValues></_>
<_>
<internalNodes>
0 -1 169 -3.7127994000911713e-03</internalNodes>
<leafValues>
1.1402052640914917e-01 -6.7824041843414307e-01</leafValues></_>
<_>
<internalNodes>
0 -1 93 -2.2280241828411818e-03</internalNodes>
<leafValues>
3.2611733675003052e-01 -2.1942707896232605e-01</leafValues></_>
<_>
<internalNodes>
0 -1 0 -4.9466837663203478e-04</internalNodes>
<leafValues>
-5.6373572349548340e-01 1.2345131486654282e-01</leafValues></_></weakClassifiers></_>
<!-- stage 11 -->
<_>
<maxWeakCount>22</maxWeakCount>
<stageThreshold>-9.4526022672653198e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 113 6.2653389759361744e-03</internalNodes>
<leafValues>
-2.9130086302757263e-01 4.3286865949630737e-01</leafValues></_>
<_>
<internalNodes>
0 -1 207 -6.9350535050034523e-03</internalNodes>
<leafValues>
5.4202216863632202e-01 -1.4993607997894287e-01</leafValues></_>
<_>
<internalNodes>
0 -1 51 -8.8127478957176208e-03</internalNodes>
<leafValues>
5.4748988151550293e-01 -1.3383853435516357e-01</leafValues></_>
<_>
<internalNodes>
0 -1 163 9.9794827401638031e-03</internalNodes>
<leafValues>
9.8763443529605865e-02 -7.8478682041168213e-01</leafValues></_>
<_>
<internalNodes>
0 -1 110 1.4357930049300194e-02</internalNodes>
<leafValues>
9.9903777241706848e-02 -6.3619744777679443e-01</leafValues></_>
<_>
<internalNodes>
0 -1 210 3.1852116808295250e-03</internalNodes>
<leafValues>
-1.5307070314884186e-01 4.9044468998908997e-01</leafValues></_>
<_>
<internalNodes>
0 -1 79 4.6450323425233364e-03</internalNodes>
<leafValues>
1.5823939442634583e-01 -4.7100529074668884e-01</leafValues></_>
<_>
<internalNodes>
0 -1 196 -2.2960104048252106e-02</internalNodes>
<leafValues>
3.9015385508537292e-01 -1.7916846275329590e-01</leafValues></_>
<_>
<internalNodes>
0 -1 219 -2.4979389272630215e-03</internalNodes>
<leafValues>
-5.6577461957931519e-01 1.0662867873907089e-01</leafValues></_>
<_>
<internalNodes>
0 -1 218 1.8636481836438179e-03</internalNodes>
<leafValues>
1.5045791864395142e-01 -5.0967973470687866e-01</leafValues></_>
<_>
<internalNodes>
0 -1 30 1.1112875491380692e-01</internalNodes>
<leafValues>
-1.8089498579502106e-01 4.2857614159584045e-01</leafValues></_>
<_>
<internalNodes>
0 -1 75 -2.9935546219348907e-02</internalNodes>
<leafValues>
2.6623785495758057e-01 -2.9863113164901733e-01</leafValues></_>
<_>
<internalNodes>
0 -1 22 -1.5152128180488944e-03</internalNodes>
<leafValues>
-6.4807474613189697e-01 9.1054581105709076e-02</leafValues></_>
<_>
<internalNodes>
0 -1 137 5.3603406995534897e-03</internalNodes>
<leafValues>
-2.4383059144020081e-01 2.7331134676933289e-01</leafValues></_>
<_>
<internalNodes>
0 -1 109 6.9904509000480175e-03</internalNodes>
<leafValues>
-3.0356529355049133e-01 2.1450166404247284e-01</leafValues></_>
<_>
<internalNodes>
0 -1 147 -3.1238878145813942e-03</internalNodes>
<leafValues>
1.5373019874095917e-01 -3.9577731490135193e-01</leafValues></_>
<_>
<internalNodes>
0 -1 111 -1.9486534874886274e-03</internalNodes>
<leafValues>
2.7815040946006775e-01 -2.2058480978012085e-01</leafValues></_>
<_>
<internalNodes>
0 -1 45 -6.6964037250727415e-04</internalNodes>
<leafValues>
-5.8860170841217041e-01 1.1701717227697372e-01</leafValues></_>
<_>
<internalNodes>
0 -1 144 -1.2552781030535698e-02</internalNodes>
<leafValues>
-8.0536448955535889e-01 6.4809165894985199e-02</leafValues></_>
<_>
<internalNodes>
0 -1 42 -8.9237354695796967e-03</internalNodes>
<leafValues>
6.7914825677871704e-01 -1.0725533217191696e-01</leafValues></_>
<_>
<internalNodes>
0 -1 63 -3.8101982790976763e-03</internalNodes>
<leafValues>
4.4392347335815430e-01 -1.3253247737884521e-01</leafValues></_>
<_>
<internalNodes>
0 -1 169 -8.7879840284585953e-03</internalNodes>
<leafValues>
-4.2050087451934814e-01 1.5164251625537872e-01</leafValues></_></weakClassifiers></_>
<!-- stage 12 -->
<_>
<maxWeakCount>22</maxWeakCount>
<stageThreshold>-8.7830936908721924e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 64 2.1473888307809830e-02</internalNodes>
<leafValues>
-1.1025726795196533e-02 5.4633623361587524e-01</leafValues></_>
<_>
<internalNodes>
0 -1 213 -4.8120552673935890e-03</internalNodes>
<leafValues>
3.9917477965354919e-01 -1.9087733328342438e-01</leafValues></_>
<_>
<internalNodes>
0 -1 96 1.2565311044454575e-02</internalNodes>
<leafValues>
1.0572581738233566e-01 -7.4134749174118042e-01</leafValues></_>
<_>
<internalNodes>
0 -1 0 5.5157439783215523e-04</internalNodes>
<leafValues>
1.1080769449472427e-01 -5.5025506019592285e-01</leafValues></_>
<_>
<internalNodes>
0 -1 69 -1.6829589381814003e-02</internalNodes>
<leafValues>
1.8762807548046112e-01 -3.5583147406578064e-01</leafValues></_>
<_>
<internalNodes>
0 -1 5 6.2537208199501038e-02</internalNodes>
<leafValues>
-2.1044260263442993e-01 3.3789911866188049e-01</leafValues></_>
<_>
<internalNodes>
0 -1 150 1.1541005223989487e-03</internalNodes>
<leafValues>
-1.8993337452411652e-01 4.2088633775711060e-01</leafValues></_>
<_>
<internalNodes>
0 -1 118 -8.4932975005358458e-04</internalNodes>
<leafValues>
1.2115091085433960e-01 -7.3121458292007446e-01</leafValues></_>
<_>
<internalNodes>
0 -1 45 6.5559305949136615e-04</internalNodes>
<leafValues>
9.3769803643226624e-02 -5.2061098814010620e-01</leafValues></_>
<_>
<internalNodes>
0 -1 130 -9.1266045346856117e-03</internalNodes>
<leafValues>
1.0880528390407562e-01 -6.7328387498855591e-01</leafValues></_>
<_>
<internalNodes>
0 -1 61 -4.2207054793834686e-03</internalNodes>
<leafValues>
2.4986708164215088e-01 -2.4749773740768433e-01</leafValues></_>
<_>
<internalNodes>
0 -1 1 -6.4809003379195929e-04</internalNodes>
<leafValues>
-5.3418868780136108e-01 1.0644024610519409e-01</leafValues></_>
<_>
<internalNodes>
0 -1 119 -1.2653590179979801e-02</internalNodes>
<leafValues>
5.3437125682830811e-01 -1.2416512519121170e-01</leafValues></_>
<_>
<internalNodes>
0 -1 152 -9.7032990306615829e-03</internalNodes>
<leafValues>
3.3888894319534302e-01 -1.9812440872192383e-01</leafValues></_>
<_>
<internalNodes>
0 -1 127 -7.8267175704240799e-03</internalNodes>
<leafValues>
4.9366104602813721e-01 -1.6021630167961121e-01</leafValues></_>
<_>
<internalNodes>
0 -1 123 7.2459513321518898e-03</internalNodes>
<leafValues>
-2.0296069979667664e-01 3.0881378054618835e-01</leafValues></_>
<_>
<internalNodes>
0 -1 125 3.2495770603418350e-02</internalNodes>
<leafValues>
7.3077462613582611e-02 -8.7853163480758667e-01</leafValues></_>
<_>
<internalNodes>
0 -1 114 -8.7616630480624735e-05</internalNodes>
<leafValues>
8.7385326623916626e-02 -5.9233450889587402e-01</leafValues></_>
<_>
<internalNodes>
0 -1 107 -2.2987656295299530e-02</internalNodes>
<leafValues>
-6.1881113052368164e-01 8.8974080979824066e-02</leafValues></_>
<_>
<internalNodes>
0 -1 73 -3.1420424580574036e-02</internalNodes>
<leafValues>
-8.2510101795196533e-01 5.9885378926992416e-02</leafValues></_>
<_>
<internalNodes>
0 -1 171 -3.1998425722122192e-02</internalNodes>
<leafValues>
-5.5140775442123413e-01 8.7986074388027191e-02</leafValues></_>
<_>
<internalNodes>
0 -1 186 6.7404173314571381e-03</internalNodes>
<leafValues>
-3.4880894422531128e-01 1.6372795403003693e-01</leafValues></_></weakClassifiers></_>
<!-- stage 13 -->
<_>
<maxWeakCount>28</maxWeakCount>
<stageThreshold>-9.7442483901977539e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 179 -1.9490005215629935e-03</internalNodes>
<leafValues>
-5.0896549224853516e-01 3.9531773328781128e-01</leafValues></_>
<_>
<internalNodes>
0 -1 16 5.3672678768634796e-02</internalNodes>
<leafValues>
-2.8012752532958984e-01 2.8486257791519165e-01</leafValues></_>
<_>
<internalNodes>
0 -1 76 -3.1754409428685904e-03</internalNodes>
<leafValues>
4.4735592603683472e-01 -1.4172799885272980e-01</leafValues></_>
<_>
<internalNodes>
0 -1 204 2.7864200528711081e-03</internalNodes>
<leafValues>
-1.6698758304119110e-01 4.4783625006675720e-01</leafValues></_>
<_>
<internalNodes>
0 -1 62 6.6453171893954277e-04</internalNodes>
<leafValues>
1.1085732281208038e-01 -5.8588087558746338e-01</leafValues></_>
<_>
<internalNodes>
0 -1 46 1.0720230638980865e-02</internalNodes>
<leafValues>
-2.1307013928890228e-01 3.0297479033470154e-01</leafValues></_>
<_>
<internalNodes>
0 -1 164 -8.6606312543153763e-03</internalNodes>
<leafValues>
-6.6793680191040039e-01 8.0994039773941040e-02</leafValues></_>
<_>
<internalNodes>
0 -1 176 3.7436452694237232e-03</internalNodes>
<leafValues>
5.4805804044008255e-02 -7.5888091325759888e-01</leafValues></_>
<_>
<internalNodes>
0 -1 140 4.8352847807109356e-03</internalNodes>
<leafValues>
-1.3795866072177887e-01 4.6685922145843506e-01</leafValues></_>
<_>
<internalNodes>
0 -1 28 -1.9269874319434166e-03</internalNodes>
<leafValues>
-5.4598659276962280e-01 1.2183391302824020e-01</leafValues></_>
<_>
<internalNodes>
0 -1 154 6.2252883799374104e-04</internalNodes>
<leafValues>
-2.1765738725662231e-01 2.8193727135658264e-01</leafValues></_>
<_>
<internalNodes>
0 -1 54 -1.0335203260183334e-03</internalNodes>
<leafValues>
3.7074291706085205e-01 -1.5056078135967255e-01</leafValues></_>
<_>
<internalNodes>
0 -1 34 3.3312872983515263e-04</internalNodes>
<leafValues>
1.4436440169811249e-01 -4.0856999158859253e-01</leafValues></_>
<_>
<internalNodes>
0 -1 167 3.2842352520674467e-03</internalNodes>
<leafValues>
7.8254900872707367e-02 -6.6750371456146240e-01</leafValues></_>
<_>
<internalNodes>
0 -1 208 -9.5214918255805969e-03</internalNodes>
<leafValues>
6.2366676330566406e-01 -9.9483266472816467e-02</leafValues></_>
<_>
<internalNodes>
0 -1 221 2.4513434618711472e-03</internalNodes>
<leafValues>
1.1249975860118866e-01 -5.8309191465377808e-01</leafValues></_>
<_>
<internalNodes>
0 -1 134 -8.7707545608282089e-03</internalNodes>
<leafValues>
5.7200098037719727e-01 -1.0709165781736374e-01</leafValues></_>
<_>
<internalNodes>
0 -1 141 -1.6480734338983893e-03</internalNodes>
<leafValues>
3.7987738847732544e-01 -1.3854941725730896e-01</leafValues></_>
<_>
<internalNodes>
0 -1 89 -4.7526411712169647e-02</internalNodes>
<leafValues>
1.8791075050830841e-01 -3.0596271157264709e-01</leafValues></_>
<_>
<internalNodes>
0 -1 44 7.2757308371365070e-03</internalNodes>
<leafValues>
-1.1173902451992035e-01 5.2730935811996460e-01</leafValues></_>
<_>
<internalNodes>
0 -1 50 1.1072808876633644e-02</internalNodes>
<leafValues>
-1.2571039795875549e-01 3.9713603258132935e-01</leafValues></_>
<_>
<internalNodes>
0 -1 220 -2.6851273141801357e-03</internalNodes>
<leafValues>
-4.5422530174255371e-01 1.2393607944250107e-01</leafValues></_>
<_>
<internalNodes>
0 -1 139 -8.2371495664119720e-03</internalNodes>
<leafValues>
6.3393764197826385e-02 -7.2361743450164795e-01</leafValues></_>
<_>
<internalNodes>
0 -1 17 -1.0737480223178864e-01</internalNodes>
<leafValues>
-1.5374843776226044e-01 3.8029554486274719e-01</leafValues></_>
<_>
<internalNodes>
0 -1 168 4.2774230241775513e-02</internalNodes>
<leafValues>
-1.5188485383987427e-01 4.3562614917755127e-01</leafValues></_>
<_>
<internalNodes>
0 -1 181 6.6537065431475639e-03</internalNodes>
<leafValues>
9.3077845871448517e-02 -6.4721757173538208e-01</leafValues></_>
<_>
<internalNodes>
0 -1 102 2.2968348115682602e-02</internalNodes>
<leafValues>
6.4474754035472870e-02 -6.9763356447219849e-01</leafValues></_>
<_>
<internalNodes>
0 -1 57 3.4438204602338374e-04</internalNodes>
<leafValues>
1.0935483127832413e-01 -3.9142388105392456e-01</leafValues></_></weakClassifiers></_>
<!-- stage 14 -->
<_>
<maxWeakCount>30</maxWeakCount>
<stageThreshold>-1.0175304412841797e+00</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 29 -1.9201725721359253e-02</internalNodes>
<leafValues>
5.4694646596908569e-01 -1.2717536650598049e-02</leafValues></_>
<_>
<internalNodes>
0 -1 170 -1.2263553217053413e-03</internalNodes>
<leafValues>
2.8723013401031494e-01 -2.4730668962001801e-01</leafValues></_>
<_>
<internalNodes>
0 -1 199 8.7986849248409271e-03</internalNodes>
<leafValues>
-2.0634458959102631e-01 3.2552304863929749e-01</leafValues></_>
<_>
<internalNodes>
0 -1 132 -1.0483122430741787e-02</internalNodes>
<leafValues>
7.9020373523235321e-02 -5.4810220003128052e-01</leafValues></_>
<_>
<internalNodes>
0 -1 78 2.3696711286902428e-03</internalNodes>
<leafValues>
9.7533814609050751e-02 -7.6302611827850342e-01</leafValues></_>
<_>
<internalNodes>
0 -1 215 -2.4229547008872032e-02</internalNodes>
<leafValues>
4.0299874544143677e-01 -1.6760797798633575e-01</leafValues></_>
<_>
<internalNodes>
0 -1 124 5.5333003401756287e-03</internalNodes>
<leafValues>
-1.9255256652832031e-01 3.2907482981681824e-01</leafValues></_>
<_>
<internalNodes>
0 -1 10 1.0842083720490336e-03</internalNodes>
<leafValues>
1.2621030211448669e-01 -4.7064527869224548e-01</leafValues></_>
<_>
<internalNodes>
0 -1 11 -1.7769674304872751e-03</internalNodes>
<leafValues>
-5.9779155254364014e-01 1.0823159664869308e-01</leafValues></_>
<_>
<internalNodes>
0 -1 43 3.2729348167777061e-03</internalNodes>
<leafValues>
-2.1328838169574738e-01 2.9165047407150269e-01</leafValues></_>
<_>
<internalNodes>
0 -1 211 3.9879679679870605e-03</internalNodes>
<leafValues>
-1.3091775774955750e-01 4.1018298268318176e-01</leafValues></_>
<_>
<internalNodes>
0 -1 100 -3.4692435292527080e-05</internalNodes>
<leafValues>
1.5758782625198364e-01 -3.6832135915756226e-01</leafValues></_>
<_>
<internalNodes>
0 -1 53 -8.4100216627120972e-03</internalNodes>
<leafValues>
5.0454461574554443e-01 -1.1803243309259415e-01</leafValues></_>
<_>
<internalNodes>
0 -1 129 -2.2914804518222809e-02</internalNodes>
<leafValues>
-7.2962307929992676e-01 8.8914543390274048e-02</leafValues></_>
<_>
<internalNodes>
0 -1 162 2.1991042885929346e-03</internalNodes>
<leafValues>
7.1418777108192444e-02 -6.6773068904876709e-01</leafValues></_>
<_>
<internalNodes>
0 -1 49 2.9251710511744022e-03</internalNodes>
<leafValues>
-1.5597523748874664e-01 3.7001615762710571e-01</leafValues></_>
<_>
<internalNodes>
0 -1 216 2.8939981712028384e-04</internalNodes>
<leafValues>
1.4303934574127197e-01 -3.9173042774200439e-01</leafValues></_>
<_>
<internalNodes>
0 -1 216 -1.3484506052918732e-04</internalNodes>
<leafValues>
-3.5628151893615723e-01 1.5402278304100037e-01</leafValues></_>
<_>
<internalNodes>
0 -1 33 6.9733932614326477e-02</internalNodes>
<leafValues>
-8.3116874098777771e-02 6.5833228826522827e-01</leafValues></_>
<_>
<internalNodes>
0 -1 187 -4.0528582758270204e-05</internalNodes>
<leafValues>
2.4091681838035583e-01 -2.3375779390335083e-01</leafValues></_>
<_>
<internalNodes>
0 -1 202 -2.1239300258457661e-03</internalNodes>
<leafValues>
3.7380477786064148e-01 -1.4922504127025604e-01</leafValues></_>
<_>
<internalNodes>
0 -1 142 -4.9752900376915932e-03</internalNodes>
<leafValues>
6.8902575969696045e-01 -6.6964857280254364e-02</leafValues></_>
<_>
<internalNodes>
0 -1 112 3.6234099417924881e-02</internalNodes>
<leafValues>
8.6878731846809387e-02 -7.7145975828170776e-01</leafValues></_>
<_>
<internalNodes>
0 -1 180 -5.7152844965457916e-03</internalNodes>
<leafValues>
4.7594960778951645e-02 -8.5505032539367676e-01</leafValues></_>
<_>
<internalNodes>
0 -1 188 -3.2393534202128649e-03</internalNodes>
<leafValues>
-7.4888646602630615e-01 5.4644893854856491e-02</leafValues></_>
<_>
<internalNodes>
0 -1 90 1.0687641333788633e-03</internalNodes>
<leafValues>
-1.8812432885169983e-01 2.5694268941879272e-01</leafValues></_>
<_>
<internalNodes>
0 -1 48 -2.3713894188404083e-02</internalNodes>
<leafValues>
4.5832177996635437e-01 -1.6412177681922913e-01</leafValues></_>
<_>
<internalNodes>
0 -1 159 -8.0997735261917114e-02</internalNodes>
<leafValues>
2.8352743387222290e-01 -1.8013221025466919e-01</leafValues></_>
<_>
<internalNodes>
0 -1 19 -3.8742531090974808e-02</internalNodes>
<leafValues>
-1.4975093305110931e-01 3.2551941275596619e-01</leafValues></_>
<_>
<internalNodes>
0 -1 157 1.8822032958269119e-02</internalNodes>
<leafValues>
-1.3235537707805634e-01 4.3388804793357849e-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 12 6 -1.</_>
<_>
0 0 6 3 2.</_>
<_>
6 3 6 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 0 22 8 -1.</_>
<_>
11 0 11 8 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 6 13 -1.</_>
<_>
3 2 3 13 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 2 6 16 -1.</_>
<_>
3 2 3 16 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 7 2 2 -1.</_>
<_>
1 7 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 7 2 3 -1.</_>
<_>
1 7 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 9 8 6 -1.</_>
<_>
4 9 4 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 9 8 7 -1.</_>
<_>
4 9 4 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 10 8 4 -1.</_>
<_>
4 10 4 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 10 10 5 -1.</_>
<_>
5 10 5 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 10 10 6 -1.</_>
<_>
5 10 5 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 14 24 3 -1.</_>
<_>
8 14 8 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 15 24 2 -1.</_>
<_>
8 15 8 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 16 24 1 -1.</_>
<_>
8 16 8 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 17 10 1 -1.</_>
<_>
5 17 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 0 2 1 -1.</_>
<_>
2 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 0 2 3 -1.</_>
<_>
2 0 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 0 6 1 -1.</_>
<_>
4 0 3 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 4 13 -1.</_>
<_>
3 1 2 13 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 2 4 12 -1.</_>
<_>
3 2 2 12 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
1 15 24 1 -1.</_>
<_>
9 15 8 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 0 4 2 -1.</_>
<_>
4 0 2 2 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 10 16 -1.</_>
<_>
2 1 5 8 2.</_>
<_>
7 9 5 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 1 12 4 -1.</_>
<_>
2 1 6 2 2.</_>
<_>
8 3 6 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 2 10 4 -1.</_>
<_>
7 2 5 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
2 11 12 4 -1.</_>
<_>
8 11 6 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 0 2 1 -1.</_>
<_>
4 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 0 15 2 -1.</_>
<_>
3 1 15 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 0 21 2 -1.</_>
<_>
3 1 21 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 3 10 6 -1.</_>
<_>
8 3 5 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 3 12 7 -1.</_>
<_>
9 3 6 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 3 16 11 -1.</_>
<_>
11 3 8 11 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
3 4 4 6 -1.</_>
<_>
5 4 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 5 2 4 -1.</_>
<_>
4 5 1 4 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 7 2 3 -1.</_>
<_>
4 7 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 0 2 1 -1.</_>
<_>
5 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 0 11 2 -1.</_>
<_>
4 1 11 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 0 20 2 -1.</_>
<_>
4 1 20 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 2 2 6 -1.</_>
<_>
4 2 1 3 2.</_>
<_>
5 5 1 3 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 5 2 5 -1.</_>
<_>
5 5 1 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 6 2 3 -1.</_>
<_>
5 6 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 6 2 4 -1.</_>
<_>
5 6 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 9 2 1 -1.</_>
<_>
5 9 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 12 19 6 -1.</_>
<_>
4 15 19 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
4 14 19 4 -1.</_>
<_>
4 16 19 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 0 2 1 -1.</_>
<_>
6 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 1 8 4 -1.</_>
<_>
5 1 4 2 2.</_>
<_>
9 3 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 2 4 3 -1.</_>
<_>
7 2 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 3 4 6 -1.</_>
<_>
5 3 2 3 2.</_>
<_>
7 6 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 3 6 1 -1.</_>
<_>
8 3 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 3 6 9 -1.</_>
<_>
8 3 3 9 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 7 2 4 -1.</_>
<_>
6 7 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 8 7 4 -1.</_>
<_>
5 10 7 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 8 16 4 -1.</_>
<_>
5 10 16 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
5 11 9 4 -1.</_>
<_>
5 13 9 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 0 2 1 -1.</_>
<_>
7 0 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 1 3 12 -1.</_>
<_>
6 5 3 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 1 10 4 -1.</_>
<_>
6 3 10 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 1 13 8 -1.</_>
<_>
6 5 13 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 2 6 2 -1.</_>
<_>
6 2 3 1 2.</_>
<_>
9 3 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 3 2 2 -1.</_>
<_>
6 3 1 1 2.</_>
<_>
7 4 1 1 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 10 -1.</_>
<_>
9 7 3 10 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 8 2 4 -1.</_>
<_>
6 8 1 2 2.</_>
<_>
7 10 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 8 6 2 -1.</_>
<_>
9 8 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 9 8 2 -1.</_>
<_>
10 9 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 9 8 4 -1.</_>
<_>
6 9 4 2 2.</_>
<_>
10 11 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 10 2 2 -1.</_>
<_>
7 10 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 11 12 2 -1.</_>
<_>
12 11 6 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 12 8 2 -1.</_>
<_>
10 12 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
6 12 10 2 -1.</_>
<_>
11 12 5 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 0 8 6 -1.</_>
<_>
7 3 8 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 0 11 2 -1.</_>
<_>
7 1 11 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 1 2 4 -1.</_>
<_>
7 3 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 1 9 4 -1.</_>
<_>
7 3 9 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 1 11 6 -1.</_>
<_>
7 4 11 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 1 13 8 -1.</_>
<_>
7 5 13 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 2 4 2 -1.</_>
<_>
7 2 2 1 2.</_>
<_>
9 3 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 3 4 2 -1.</_>
<_>
7 3 2 1 2.</_>
<_>
9 4 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 4 10 10 -1.</_>
<_>
7 4 5 5 2.</_>
<_>
12 9 5 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 6 2 4 -1.</_>
<_>
7 6 1 2 2.</_>
<_>
8 8 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 7 4 3 -1.</_>
<_>
9 7 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 8 4 2 -1.</_>
<_>
9 8 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 8 2 4 -1.</_>
<_>
7 10 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 8 4 4 -1.</_>
<_>
7 8 2 2 2.</_>
<_>
9 10 2 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 12 4 1 -1.</_>
<_>
9 12 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 12 4 4 -1.</_>
<_>
7 14 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 12 12 4 -1.</_>
<_>
7 14 12 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 13 8 1 -1.</_>
<_>
11 13 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
7 16 8 2 -1.</_>
<_>
7 17 8 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 1 8 1 -1.</_>
<_>
12 1 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 1 11 2 -1.</_>
<_>
8 2 11 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 3 4 12 -1.</_>
<_>
8 3 2 6 2.</_>
<_>
10 9 2 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 3 14 2 -1.</_>
<_>
15 3 7 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 3 14 3 -1.</_>
<_>
15 3 7 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 4 10 5 -1.</_>
<_>
13 4 5 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 5 2 4 -1.</_>
<_>
8 5 1 2 2.</_>
<_>
9 7 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 5 4 6 -1.</_>
<_>
8 8 4 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 6 4 6 -1.</_>
<_>
8 9 4 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 9 4 6 -1.</_>
<_>
10 9 2 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 10 8 4 -1.</_>
<_>
12 10 4 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 14 13 4 -1.</_>
<_>
8 16 13 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
8 16 8 2 -1.</_>
<_>
8 17 8 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 4 6 11 -1.</_>
<_>
12 4 3 11 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 4 8 2 -1.</_>
<_>
9 5 8 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 6 4 4 -1.</_>
<_>
9 6 2 2 2.</_>
<_>
11 8 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 8 2 4 -1.</_>
<_>
9 10 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 8 3 4 -1.</_>
<_>
9 10 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 9 2 4 -1.</_>
<_>
9 11 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 9 3 2 -1.</_>
<_>
9 10 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
9 11 11 4 -1.</_>
<_>
9 13 11 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 0 5 2 -1.</_>
<_>
10 1 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 1 6 1 -1.</_>
<_>
13 1 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 4 6 10 -1.</_>
<_>
10 4 3 5 2.</_>
<_>
13 9 3 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 5 8 4 -1.</_>
<_>
14 5 4 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 6 3 2 -1.</_>
<_>
11 6 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 6 8 6 -1.</_>
<_>
14 6 4 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 7 8 5 -1.</_>
<_>
14 7 4 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 8 3 2 -1.</_>
<_>
10 9 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 16 3 2 -1.</_>
<_>
10 17 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
10 16 5 2 -1.</_>
<_>
10 17 5 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 0 4 2 -1.</_>
<_>
11 1 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 0 11 2 -1.</_>
<_>
11 1 11 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 5 6 6 -1.</_>
<_>
14 5 3 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 6 3 2 -1.</_>
<_>
12 6 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 8 2 2 -1.</_>
<_>
11 9 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 9 2 2 -1.</_>
<_>
11 9 1 1 2.</_>
<_>
12 10 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
11 9 2 2 -1.</_>
<_>
11 10 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 3 10 4 -1.</_>
<_>
17 3 5 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 4 4 5 -1.</_>
<_>
14 4 2 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 6 3 2 -1.</_>
<_>
13 6 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 6 3 3 -1.</_>
<_>
13 6 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 6 6 5 -1.</_>
<_>
15 6 3 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 6 6 6 -1.</_>
<_>
15 6 3 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 7 6 5 -1.</_>
<_>
14 7 2 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 9 2 2 -1.</_>
<_>
12 9 1 1 2.</_>
<_>
13 10 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 11 1 4 -1.</_>
<_>
12 13 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 14 5 4 -1.</_>
<_>
12 16 5 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
12 14 9 4 -1.</_>
<_>
12 16 9 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 5 2 2 -1.</_>
<_>
13 6 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 6 3 1 -1.</_>
<_>
14 6 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 6 1 9 -1.</_>
<_>
13 9 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 13 8 2 -1.</_>
<_>
17 13 4 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
13 15 4 2 -1.</_>
<_>
13 16 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 0 6 12 -1.</_>
<_>
14 6 6 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 1 5 10 -1.</_>
<_>
14 6 5 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 3 8 10 -1.</_>
<_>
18 3 4 10 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 5 2 4 -1.</_>
<_>
15 5 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 5 2 8 -1.</_>
<_>
14 9 2 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 5 4 5 -1.</_>
<_>
16 5 2 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 6 2 1 -1.</_>
<_>
15 6 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 7 4 3 -1.</_>
<_>
16 7 2 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 10 1 4 -1.</_>
<_>
14 12 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 11 8 5 -1.</_>
<_>
18 11 4 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 12 3 1 -1.</_>
<_>
15 12 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
14 15 3 2 -1.</_>
<_>
14 16 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 5 1 9 -1.</_>
<_>
15 8 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 5 2 5 -1.</_>
<_>
16 5 1 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 6 2 1 -1.</_>
<_>
16 6 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 6 1 6 -1.</_>
<_>
15 8 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 6 1 8 -1.</_>
<_>
15 10 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 6 2 6 -1.</_>
<_>
16 6 1 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 7 1 3 -1.</_>
<_>
15 8 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 9 3 3 -1.</_>
<_>
15 10 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 10 1 4 -1.</_>
<_>
15 12 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
15 10 2 3 -1.</_>
<_>
15 11 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 0 8 1 -1.</_>
<_>
20 0 4 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 3 6 9 -1.</_>
<_>
19 3 3 9 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 4 6 8 -1.</_>
<_>
19 4 3 8 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 5 6 6 -1.</_>
<_>
19 5 3 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 5 6 7 -1.</_>
<_>
19 5 3 7 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 6 6 3 -1.</_>
<_>
19 6 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 7 2 1 -1.</_>
<_>
17 7 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 7 2 3 -1.</_>
<_>
17 7 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 7 6 5 -1.</_>
<_>
19 7 3 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 8 6 2 -1.</_>
<_>
19 8 3 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 9 1 3 -1.</_>
<_>
16 10 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 9 1 4 -1.</_>
<_>
16 11 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 9 6 3 -1.</_>
<_>
19 9 3 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 10 2 4 -1.</_>
<_>
16 12 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 11 6 1 -1.</_>
<_>
19 11 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
16 12 6 6 -1.</_>
<_>
16 15 6 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
17 2 4 10 -1.</_>
<_>
19 2 2 10 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
17 10 2 1 -1.</_>
<_>
18 10 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
17 10 4 2 -1.</_>
<_>
19 10 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
18 17 2 1 -1.</_>
<_>
19 17 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 1 2 1 -1.</_>
<_>
20 1 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 3 2 6 -1.</_>
<_>
19 3 1 3 2.</_>
<_>
20 6 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 9 2 2 -1.</_>
<_>
20 9 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
19 10 2 1 -1.</_>
<_>
20 10 1 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 4 2 10 -1.</_>
<_>
20 4 1 5 2.</_>
<_>
21 9 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 5 2 8 -1.</_>
<_>
20 5 1 4 2.</_>
<_>
21 9 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 7 2 4 -1.</_>
<_>
20 7 1 2 2.</_>
<_>
21 9 1 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 7 2 6 -1.</_>
<_>
20 7 1 3 2.</_>
<_>
21 10 1 3 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 7 4 6 -1.</_>
<_>
22 7 2 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 9 4 2 -1.</_>
<_>
22 9 2 2 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
20 17 4 1 -1.</_>
<_>
22 17 2 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
21 1 4 11 -1.</_>
<_>
23 1 2 11 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 5 -1.</_>
<_>
24 7 1 5 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 8 2 4 -1.</_>
<_>
24 8 1 4 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 9 2 6 -1.</_>
<_>
24 9 1 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
23 13 2 4 -1.</_>
<_>
24 13 1 4 2.</_></rects>
<tilted>0</tilted></_></features></cascade>
</opencv_storage>
Reference in a new issue Copy permalink