diff --git a/runtime_data/config/in.conf b/runtime_data/config/in.conf
index e0fee2f..9961be4 100644
--- a/runtime_data/config/in.conf
+++ b/runtime_data/config/in.conf
@@ -1,45 +1,49 @@
-; 30-50, 40-60, 50-70, 60-80
-char_analysis_min_pct = 0.30
-char_analysis_height_range = 0.20
+; One-line indian style style plates
+
+; 35-50; 45-60, 55-70, 65-80, 75-90
+char_analysis_min_pct = 0.35
+char_analysis_height_range = 0.15
 char_analysis_height_step_size = 0.10
-char_analysis_height_num_steps = 4
+char_analysis_height_num_steps = 5
 
-segmentation_min_speckle_height_percent = 0.3
-segmentation_min_box_width_px = 4
-segmentation_min_charheight_percent = 0.5;
-segmentation_max_segment_width_percent_vs_average = 1.35;
+segmentation_min_speckle_height_percent = 0.2
+segmentation_min_box_width_px = 5
+segmentation_min_charheight_percent = 0.4;
+segmentation_max_segment_width_percent_vs_average = 2.0;
 
-plate_width_mm = 520
-plate_height_mm = 120
+plate_width_mm = 600
+plate_height_mm = 130
 
 multiline = 0
 
-char_height_mm = 65
-char_width_mm = 30
-char_whitespace_top_mm = 24
-char_whitespace_bot_mm = 24
+char_height_mm = 70
+char_width_mm = 40
+char_whitespace_top_mm = 25
+char_whitespace_bot_mm = 25
 
-template_max_width_px = 120
-template_max_height_px = 60
+template_max_width_px = 184
+template_max_height_px = 45
 
 ; Higher sensitivity means less lines
-plateline_sensitivity_vertical = 25
-plateline_sensitivity_horizontal = 45
+plateline_sensitivity_vertical = 18
+plateline_sensitivity_horizontal = 55
 
 ; Regions smaller than this will be disqualified
-min_plate_size_width_px = 70
-min_plate_size_height_px = 35
+min_plate_size_width_px = 95
+min_plate_size_height_px = 20
 
 ; Results with fewer or more characters will be discarded
-postprocess_min_characters = 4
-postprocess_max_characters = 10
+postprocess_min_characters = 10
+postprocess_max_characters = 20
 
-ocr_language = lin
+;ocr_language = lin
+ocr_language = lus
 
 ; Override for postprocess letters/numbers regex. 
 postprocess_regex_letters = [A-Z]
 postprocess_regex_numbers = [0-9]
 
+
 ; Whether the plate is always dark letters on light background, light letters on dark background, or both
 ; value can be either always, never, or auto
-invert = auto
\ No newline at end of file
+invert = auto
diff --git a/runtime_data/postprocess/in.patterns b/runtime_data/postprocess/in.patterns
new file mode 100644
index 0000000..07aab83
--- /dev/null
+++ b/runtime_data/postprocess/in.patterns
@@ -0,0 +1,4 @@
+in	@@##@@####
+in	@@##@####
+in	@@#@@####
+in	@@#@####
diff --git a/runtime_data/region/in.xml b/runtime_data/region/in.xml
index 121dccc..1509669 100644
--- a/runtime_data/region/in.xml
+++ b/runtime_data/region/in.xml
@@ -3,367 +3,772 @@
 <cascade>
   <stageType>BOOST</stageType>
   <featureType>LBP</featureType>
-  <height>12</height>
-  <width>50</width>
+  <height>13</height>
+  <width>52</width>
   <stageParams>
     <boostType>GAB</boostType>
     <minHitRate>9.9500000476837158e-01</minHitRate>
-    <maxFalseAlarm>4.4999998807907104e-01</maxFalseAlarm>
+    <maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
     <weightTrimRate>9.4999999999999996e-01</weightTrimRate>
     <maxDepth>1</maxDepth>
     <maxWeakCount>100</maxWeakCount></stageParams>
   <featureParams>
     <maxCatCount>256</maxCatCount>
     <featSize>1</featSize></featureParams>
-  <stageNum>9</stageNum>
+  <stageNum>12</stageNum>
   <stages>
     <!-- stage 0 -->
     <_>
       <maxWeakCount>4</maxWeakCount>
-      <stageThreshold>-2.4375419616699219e+00</stageThreshold>
+      <stageThreshold>-1.5821634531021118e+00</stageThreshold>
       <weakClassifiers>
         <_>
           <internalNodes>
-            0 -1 17 -711862307 -6467369 -654189059 -15360709 -661984517
-            -1146500982 -880088641 -5518849</internalNodes>
+            0 -1 44 308024693 -428545 2073820639 -52225 -67388417
+            -140357 -89522241 -1073856515</internalNodes>
           <leafValues>
-            -9.7931182384490967e-01 3.1999999284744263e-01</leafValues></_>
+            -8.3980286121368408e-01 5.0890344381332397e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 15 294154741 -2354917 286332287 1604129237 -1467438853
-            -7630696 1495972863 -1080353797</internalNodes>
+            0 -1 43 478420345 -141827 -613384193 -64001 -1153368067
+            -411143 -1093866499 -1078449672</internalNodes>
           <leafValues>
-            -9.5272296667098999e-01 3.4786596894264221e-01</leafValues></_>
+            -7.0110827684402466e-01 5.5775439739227295e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 4 -687825955 -40824682 -784316937 -34696823 402827518
-            -74841973 -2013029377 -1073869685</internalNodes>
+            0 -1 18 338691444 2098804125 1024409535 -1082714123
+            1019050495 -4603461 1067105279 -266257</internalNodes>
           <leafValues>
-            -9.0185505151748657e-01 6.0434675216674805e-01</leafValues></_>
+            -6.3792645931243896e-01 5.8313608169555664e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 11 -1857080655 -1076821871 -1727967009 2010911121
-            -1735722533 -1211629416 176851962 -551606099</internalNodes>
+            0 -1 51 590090517 -1107315363 1834336255 -1073774625
+            -1144341569 -37749761 -1145176162 -1080153284</internalNodes>
           <leafValues>
-            -9.0424102544784546e-01 6.2337487936019897e-01</leafValues></_></weakClassifiers></_>
+            -5.8223354816436768e-01 5.9667408466339111e-01</leafValues></_></weakClassifiers></_>
     <!-- stage 1 -->
     <_>
-      <maxWeakCount>4</maxWeakCount>
-      <stageThreshold>-2.2654516696929932e+00</stageThreshold>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.9795182943344116e+00</stageThreshold>
       <weakClassifiers>
         <_>
           <internalNodes>
-            0 -1 21 -69207041 -10497645 -1039951129 -135288581
-            -511450625 -1182064488 -72627473 -1025</internalNodes>
+            0 -1 9 -270536721 -997470257 -2013050814 -389289649
+            -271845817 1077993474 -158866681 -134218753</internalNodes>
           <leafValues>
-            -9.7722482681274414e-01 2.4444444477558136e-01</leafValues></_>
+            -8.0115187168121338e-01 4.5364892482757568e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 10 -33 -145370661 1804163039 -10526371 -108028929
-            -5275505 -1953649697 -1073799173</internalNodes>
+            0 -1 74 -339744981 -874523861 -1878818814 -1029716521
+            -1218229757 554402178 -697830654 -201329681</internalNodes>
           <leafValues>
-            -9.3023735284805298e-01 4.1309589147567749e-01</leafValues></_>
+            -6.3889116048812866e-01 5.5221247673034668e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 3 -141623592 -138329769 -150906403 -6324793 -259851777
-            -13959029 -367281153 -269665</internalNodes>
+            0 -1 16 -1572881 -372055538 -127958685 -766614885 -17341969
+            2072203271 1531153387 49760863</internalNodes>
           <leafValues>
-            -9.1387480497360229e-01 5.6577622890472412e-01</leafValues></_>
+            -6.5832072496414185e-01 5.0100201368331909e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 19 2031132664 -76541807 1526781439 -3149365 -1147623191
-            -94732136 -74793985 -1111794756</internalNodes>
+            0 -1 33 70255901 -32834 -1074003969 -1073924117 -33554433
+            -655361 -135169 -1073860609</internalNodes>
           <leafValues>
-            -9.2376571893692017e-01 5.6228053569793701e-01</leafValues></_></weakClassifiers></_>
+            -5.1661574840545654e-01 6.4780247211456299e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 47 351819221 -755715 -1073872899 2013265917 -16973829
+            -671746 -229927 -1096282136</internalNodes>
+          <leafValues>
+            -5.5564248561859131e-01 5.7492965459823608e-01</leafValues></_></weakClassifiers></_>
     <!-- stage 2 -->
     <_>
-      <maxWeakCount>3</maxWeakCount>
-      <stageThreshold>-2.0670957565307617e+00</stageThreshold>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-2.0048213005065918e+00</stageThreshold>
       <weakClassifiers>
         <_>
           <internalNodes>
-            0 -1 31 -1025 -27266077 -2121794152 -137372721 -74976289
-            1240189324 -3673093 -1</internalNodes>
+            0 -1 37 -579281411 -141859 -581043201 -545662499 -302186499
+            -1470017 -611647489 -1073996552</internalNodes>
           <leafValues>
-            -9.7997015714645386e-01 -2.5531914830207825e-01</leafValues></_>
+            -7.6023739576339722e-01 4.0190881490707397e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 22 -17 -167773973 -1116481778 -254804585 -34606125
-            1400484267 -201344073 -134217729</internalNodes>
+            0 -1 41 8389085 -2803461 -1212416513 -40961 -336348161
+            -1080641 -1147142401 -1141239810</internalNodes>
           <leafValues>
-            -9.3677562475204468e-01 1.1821919679641724e-01</leafValues></_>
+            -6.7304128408432007e-01 4.2959162592887878e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 25 -472908945 -28314697 -267390321 -302519713
-            -141564945 -359431182 -70257918 -764412317</internalNodes>
+            0 -1 23 -1174406657 -573761 -1992050373 -1073771586
+            -537314389 -1074460230 -6574213 181021224</internalNodes>
           <leafValues>
-            -8.7500095367431641e-01 5.1194375753402710e-01</leafValues></_></weakClassifiers></_>
+            -6.2686002254486084e-01 4.6247422695159912e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 76 -72614613 -902827109 -493237918 -1563730601
+            2075120726 1405014685 -9447662 -146821321</internalNodes>
+          <leafValues>
+            -5.6248772144317627e-01 4.8325377702713013e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 34 473962877 -749120037 -1655590409 -536977969
+            -1175959555 -1078421463 972566009 -1366685380</internalNodes>
+          <leafValues>
+            -4.8482784628868103e-01 5.3586608171463013e-01</leafValues></_></weakClassifiers></_>
     <!-- stage 3 -->
     <_>
-      <maxWeakCount>4</maxWeakCount>
-      <stageThreshold>-2.3831017017364502e+00</stageThreshold>
+      <maxWeakCount>6</maxWeakCount>
+      <stageThreshold>-1.6881239414215088e+00</stageThreshold>
       <weakClassifiers>
         <_>
           <internalNodes>
-            0 -1 1 -8388609 -10496033 -67119105 -1 -1147536385 -4460549
-            -6291457 -16389</internalNodes>
+            0 -1 20 -605031937 -581736673 -213796353 -2390641
+            -1439717121 -2257749 -1681159761 -1077990870</internalNodes>
           <leafValues>
-            -9.7346252202987671e-01 -2.5641025975346565e-02</leafValues></_>
+            -7.3286467790603638e-01 3.5483869910240173e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 8 -268656643 -10517 -4227073 -70657 -83886113 -2434561
-            -1572866 -536988689</internalNodes>
+            0 -1 24 -8324880 -10585707 -656121857 -10661551 -1718830595
+            -106353733 -1080129091 -1949693752</internalNodes>
           <leafValues>
-            -9.5494621992111206e-01 -1.7653448879718781e-01</leafValues></_>
+            -5.9217196702957153e-01 4.6253615617752075e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 18 767049725 -1075871751 -42991617 2147057663
-            -103809025 -4625 -2129921 -1082418820</internalNodes>
+            0 -1 6 -286265749 -298875922 -1986868854 -489693752
+            2060188431 1646258224 -249567529 -152044817</internalNodes>
           <leafValues>
-            -9.0908873081207275e-01 2.9635757207870483e-01</leafValues></_>
+            -4.8896503448486328e-01 5.2091324329376221e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 28 -1073807555 -205981188 -35651585 -1073750017
-            -1107492875 -67125825 -2622099 -1946165796</internalNodes>
+            0 -1 45 75500784 2111603675 387259645 1063206869 -1951875077
+            -324663 2140019391 -1615315475</internalNodes>
           <leafValues>
-            -8.8837707042694092e-01 4.5439574122428894e-01</leafValues></_></weakClassifiers></_>
+            -6.8134146928787231e-01 3.8123682141304016e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 15 -537667842 936823012 -762879886 550666714 680352171
+            394272911 -1021625861 1624760547</internalNodes>
+          <leafValues>
+            -6.3300865888595581e-01 3.9577165246009827e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 29 6030637 -543706663 -1617437219 -67121131 -5512535
+            -91821895 -68224513 -1093793613</internalNodes>
+          <leafValues>
+            -6.2998151779174805e-01 3.7764960527420044e-01</leafValues></_></weakClassifiers></_>
     <!-- stage 4 -->
     <_>
-      <maxWeakCount>3</maxWeakCount>
-      <stageThreshold>-2.0030426979064941e+00</stageThreshold>
+      <maxWeakCount>6</maxWeakCount>
+      <stageThreshold>-1.9388419389724731e+00</stageThreshold>
       <weakClassifiers>
         <_>
           <internalNodes>
-            0 -1 6 -69206017 -8261 -167772161 -2097153 -262145 -4195585
-            -8193 -4113</internalNodes>
+            0 -1 75 -201326837 -955261557 -1018968830 -338701545
+            -84741625 1917292586 -719068624 -201589257</internalNodes>
           <leafValues>
-            -9.7144657373428345e-01 1.6666667163372040e-01</leafValues></_>
+            -7.4817961454391479e-01 2.7826941013336182e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 23 -1213890561 -1025 -138412545 -33 -1141310465
-            -67109889 -1 -1078034433</internalNodes>
+            0 -1 10 -271923218 -337893890 -856682924 2058550718
+            1863060560 1778402655 2029218814 -4456453</internalNodes>
           <leafValues>
-            -9.3520402908325195e-01 -9.6896685659885406e-02</leafValues></_>
+            -6.4382976293563843e-01 3.5757163166999817e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 12 499654525 -1116161 -2097153 -8225 -1612972035
-            -67126785 2147450879 -583681</internalNodes>
+            0 -1 52 1073806812 -14908455 -1311770659 -144870421
+            -73084932 -340858680 -1347886596 -70721976</internalNodes>
           <leafValues>
-            -9.3469941616058350e-01 2.0055486261844635e-01</leafValues></_></weakClassifiers></_>
+            -6.2845903635025024e-01 3.7706661224365234e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 69 -528502 -387186707 942929664 4977111 1369140037
+            3912810 1542192932 1089468599</internalNodes>
+          <leafValues>
+            -7.8141981363296509e-01 2.7090081572532654e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 62 -517424904 2078052509 -753127975 -704884716
+            -1312248900 -1077312372 -1366107208 -1368647756</internalNodes>
+          <leafValues>
+            -6.3508522510528564e-01 3.7355837225914001e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 19 80479509 -711036422 -686490305 -136353774 -218509569
+            -55838549 -1215438856 -1611239582</internalNodes>
+          <leafValues>
+            -5.6283277273178101e-01 3.9366087317466736e-01</leafValues></_></weakClassifiers></_>
     <!-- stage 5 -->
     <_>
-      <maxWeakCount>4</maxWeakCount>
-      <stageThreshold>-2.4179658889770508e+00</stageThreshold>
+      <maxWeakCount>7</maxWeakCount>
+      <stageThreshold>-1.1975721120834351e+00</stageThreshold>
       <weakClassifiers>
         <_>
           <internalNodes>
-            0 -1 26 -1 -134217761 -778568265 -2593 -1051653 -67374085
-            -9437729 -1</internalNodes>
+            0 -1 7 -272634129 -963657594 -971538330 -824720410
+            -212870306 1628164179 -569646113 -201589761</internalNodes>
           <leafValues>
-            -9.6861922740936279e-01 1.</leafValues></_>
+            -7.3248410224914551e-01 2.2834645211696625e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 16 -53 2128574455 -1084238162 -102760737 -14680089
-            1539304123 -137 -137364097</internalNodes>
+            0 -1 60 537003349 -2172961 -1649149473 -2105889 -1143222597
+            -70426502 -1629491265 -1342226499</internalNodes>
           <leafValues>
-            -9.3634587526321411e-01 -1.1718166619539261e-01</leafValues></_>
+            -5.9971082210540771e-01 3.7090694904327393e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 13 -33567057 -1344278049 -619220234 -1091636241
-            -67174449 1855938431 -604049937 -537395201</internalNodes>
+            0 -1 28 -139484633 633778115 613356034 1893456382 1929513286
+            7889682 2003218950 -743446533</internalNodes>
           <leafValues>
-            -8.2525515556335449e-01 3.9416569471359253e-01</leafValues></_>
+            -5.1720756292343140e-01 4.6159994602203369e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 2 -1074532972 1071644671 1608458239 -1176641538
-            2105540478 2146417119 -68222977 -268436484</internalNodes>
+            0 -1 50 -67130742 -1025860886 1658376196 1623355567
+            -226069756 6739978 -970739120 -239079801</internalNodes>
           <leafValues>
-            -9.0716660022735596e-01 4.3030804395675659e-01</leafValues></_></weakClassifiers></_>
+            -4.8045945167541504e-01 4.7559025883674622e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 36 1051760 397677560 1439363069 -6605603 -91701527
+            -1612182821 2139242394 531666169</internalNodes>
+          <leafValues>
+            -7.0112109184265137e-01 3.2478842139244080e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 30 -710117564 -4275245 -44180227 -11341222 -605965683
+            -393688694 -18287730 -528234358</internalNodes>
+          <leafValues>
+            -5.1906365156173706e-01 4.6794250607490540e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 65 -10486120 470573976 809832752 -1625566252 -592709616
+            450601532 -642780811 -805310601</internalNodes>
+          <leafValues>
+            -5.5150657892227173e-01 4.2102628946304321e-01</leafValues></_></weakClassifiers></_>
     <!-- stage 6 -->
     <_>
-      <maxWeakCount>4</maxWeakCount>
-      <stageThreshold>-2.5507302284240723e+00</stageThreshold>
+      <maxWeakCount>8</maxWeakCount>
+      <stageThreshold>-1.6684050559997559e+00</stageThreshold>
       <weakClassifiers>
         <_>
           <internalNodes>
-            0 -1 7 -603979777 -9217 -2624001 -538968065 -6296577
-            -1327685 -5505025 -1025</internalNodes>
+            0 -1 68 -16617 -2100257 -779233793 -576725029 -387253249
+            -6373185 -17827073 -1025</internalNodes>
           <leafValues>
-            -9.6943050622940063e-01 6.3636362552642822e-01</leafValues></_>
+            -6.4715272188186646e-01 4.4864866137504578e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 16 -53 2130670551 -38014322 -102763810 -11537425
-            -543438033 -1 -137363969</internalNodes>
+            0 -1 8 -268448985 -355843602 -1066677054 -454556850
+            -1850029733 1739679818 -201854121 -150995969</internalNodes>
           <leafValues>
-            -9.1275703907012939e-01 4.1494268923997879e-02</leafValues></_>
+            -5.4795455932617188e-01 3.4248238801956177e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 9 -278869 2145375182 -586031378 -4197921 2079325310
-            937116043 -1049643 -134742018</internalNodes>
+            0 -1 35 9703761 -136890384 1528304123 -2153827 914860991
+            -1168432737 904731819 2067472703</internalNodes>
           <leafValues>
-            -8.4034204483032227e-01 3.5779979825019836e-01</leafValues></_>
+            -4.9102684855461121e-01 4.1780465841293335e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 27 -16783706 -78645345 -515379844 -805841157 -2360322
-            -705715269 2130433023 -672141457</internalNodes>
+            0 -1 55 -13242385 -2675729 -715786761 -33556920 -544490497
+            -34128604 -207635955 2137457152</internalNodes>
           <leafValues>
-            -7.8245186805725098e-01 5.6021624803543091e-01</leafValues></_></weakClassifiers></_>
+            -4.7315219044685364e-01 4.2060080170631409e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 70 -409993696 824695020 1216987392 967285123 487053568
+            38167023 2023952693 1991232809</internalNodes>
+          <leafValues>
+            -6.6825598478317261e-01 3.2621189951896667e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 49 268703569 -269258498 -246026531 -1075839493
+            -607667781 -1148620615 -202542753 -1093527172</internalNodes>
+          <leafValues>
+            -6.2558317184448242e-01 3.0197361111640930e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 27 -115364358 931465351 51456167 1066342839 -124789286
+            215691467 1807916027 -1198522</internalNodes>
+          <leafValues>
+            -4.6513053774833679e-01 4.2068210244178772e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 14 2076169716 -2369830 461971472 2095348214 231216624
+            1598826671 524897276 1543462647</internalNodes>
+          <leafValues>
+            -5.3952771425247192e-01 3.6494618654251099e-01</leafValues></_></weakClassifiers></_>
     <!-- stage 7 -->
     <_>
-      <maxWeakCount>4</maxWeakCount>
-      <stageThreshold>-2.2939481735229492e+00</stageThreshold>
+      <maxWeakCount>7</maxWeakCount>
+      <stageThreshold>-1.3922821283340454e+00</stageThreshold>
       <weakClassifiers>
         <_>
           <internalNodes>
-            0 -1 29 -1 -538969089 -242491909 -538979393 -1049089
-            -1649557575 -1049601 -1049601</internalNodes>
+            0 -1 3 -356077597 -139013693 -112730657 -3736518 -70254917
+            -609234449 -626003969 -4105</internalNodes>
           <leafValues>
-            -9.7297865152359009e-01 -2.8000000119209290e-01</leafValues></_>
+            -6.9726443290710449e-01 1.0850439965724945e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 30 -1 -2298882 2072607228 -1057 -6816769 -3254071
-            1577057247 -1048641</internalNodes>
+            0 -1 21 523263484 -1646465027 -550379553 -126211 -1181166756
+            -2567752 -356450308 -1082639012</internalNodes>
           <leafValues>
-            -8.8414573669433594e-01 1.1597286909818649e-01</leafValues></_>
+            -6.4814126491546631e-01 2.3434743285179138e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 5 -302041345 -2164226 534495231 1871622106 -304103425
-            -17085953 -106447105 -33841</internalNodes>
+            0 -1 57 -997793790 -119539761 -913836593 -137443421
+            -274082845 -337391317 -330302465 1078452898</internalNodes>
           <leafValues>
-            -7.8541487455368042e-01 4.3383264541625977e-01</leafValues></_>
+            -5.6031310558319092e-01 3.2201811671257019e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 20 -402850827 -34853 -67240995 -1344603139 -12976129
-            -4199489 -65546 -914379168</internalNodes>
+            0 -1 64 -1109393644 783610748 -209977347 -1080043298
+            -113512515 -1896112329 -72644424 -1880105484</internalNodes>
           <leafValues>
-            -8.7065649032592773e-01 4.4544333219528198e-01</leafValues></_></weakClassifiers></_>
+            -4.7628229856491089e-01 3.8589614629745483e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 13 2010638319 1876617455 -860523545 672849954 957072795
+            -71565685 1026645807 1206384583</internalNodes>
+          <leafValues>
+            -5.0234788656234741e-01 3.9042916893959045e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 46 -135275158 -1832679569 151438112 -896564310
+            -158994365 4977153 -902644810 -168826906</internalNodes>
+          <leafValues>
+            -4.6180748939514160e-01 4.2590984702110291e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 32 2500868 -37027389 1003830773 -1082436709 -1180051030
+            -307304261 -72599091 -1074517192</internalNodes>
+          <leafValues>
+            -6.7851001024246216e-01 2.9109567403793335e-01</leafValues></_></weakClassifiers></_>
     <!-- stage 8 -->
     <_>
-      <maxWeakCount>4</maxWeakCount>
-      <stageThreshold>-2.6368033885955811e+00</stageThreshold>
+      <maxWeakCount>7</maxWeakCount>
+      <stageThreshold>-1.3981715440750122e+00</stageThreshold>
       <weakClassifiers>
         <_>
           <internalNodes>
-            0 -1 24 -1 -1 -13640513 -211812897 -74712133 -1084233249
-            -47711489 -1025</internalNodes>
+            0 -1 2 -290460049 -287353881 -507258913 -60819233 -22285313
+            -89212597 -676331525 -2097225</internalNodes>
           <leafValues>
-            -9.7338962554931641e-01 -2.6923078298568726e-01</leafValues></_>
+            -6.8647056818008423e-01 1.6538882255554199e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 14 -1053713 -134482465 2134375898 -538976281 -5309569
-            -203694201 -79693825 -1</internalNodes>
+            0 -1 63 -318784500 -1084367369 -58458115 -34080599
+            -118777192 -345255896 -1096109944 -656672181</internalNodes>
           <leafValues>
-            -8.9801853895187378e-01 3.4832898527383804e-02</leafValues></_>
+            -5.4743081331253052e-01 2.8956905007362366e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 32 -536871193 -1107823393 -14419012 -1140858913
-            -469794953 1941692158 -205852673 -603979865</internalNodes>
+            0 -1 39 -3150586 -294731675 1644185600 -673257138 -521942270
+            1128769704 1448072003 -739257585</internalNodes>
           <leafValues>
-            -7.9554975032806396e-01 3.5559019446372986e-01</leafValues></_>
+            -4.2168867588043213e-01 4.0135908126831055e-01</leafValues></_>
         <_>
           <internalNodes>
-            0 -1 0 -806998018 -270606370 -35856898 -21049105 -1074007045
-            -1049985 -84153345 -537214977</internalNodes>
+            0 -1 31 -1135823883 -757668 999612157 -6490627 -1149441028
+            -1537893 -805438983 -1163391108</internalNodes>
           <leafValues>
-            -9.0269690752029419e-01 3.9907047152519226e-01</leafValues></_></weakClassifiers></_></stages>
+            -4.9981307983398438e-01 3.4327375888824463e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 11 -268442450 -168569637 -1195651454 -765742899
+            1395329831 521095743 1554662949 1951394811</internalNodes>
+          <leafValues>
+            -5.9372252225875854e-01 3.0440413951873779e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 25 72355157 -673456645 335140055 2103251928 -225478229
+            -239429117 -400374294 -1929614480</internalNodes>
+          <leafValues>
+            -6.4170426130294800e-01 2.4903862178325653e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 42 -151275570 1351545059 805584004 902033849
+            -1979217938 273843401 -247221778 1438874622</internalNodes>
+          <leafValues>
+            -5.6551593542098999e-01 3.0046430230140686e-01</leafValues></_></weakClassifiers></_>
+    <!-- stage 9 -->
+    <_>
+      <maxWeakCount>7</maxWeakCount>
+      <stageThreshold>-1.2768253087997437e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
+            0 -1 72 -335548649 1934834527 -1296567941 2055200735
+            804235845 2061233379 -384041262 -17</internalNodes>
+          <leafValues>
+            -7.0549857616424561e-01 8.0438755452632904e-02</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 61 804232980 894980543 -782300163 -1077937189 -58017090
+            -1343516525 -877712980 -1455424033</internalNodes>
+          <leafValues>
+            -4.9817597866058350e-01 2.8848552703857422e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 0 -1568439445 -363865089 -1386890945 1385034326
+            -298061441 -965762399 1810887151 -320866896</internalNodes>
+          <leafValues>
+            -3.9815270900726318e-01 3.9712515473365784e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 53 -640041994 536360410 963584540 972535293 938487020
+            1072175677 1071593449 2147480543</internalNodes>
+          <leafValues>
+            -4.9214878678321838e-01 3.3720245957374573e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 26 -934155 2147335917 -268501397 -1074922514 -537116738
+            -1176440836 -671748145 -2100499766</internalNodes>
+          <leafValues>
+            -3.8093495368957520e-01 4.2473357915878296e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 67 -956323798 1250915225 -2094399029 1952357835
+            -405015736 1879221328 1653463714 1087108095</internalNodes>
+          <leafValues>
+            -5.4112964868545532e-01 3.0530884861946106e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 17 1473793756 -611823278 -794652195 1535906256
+            1897403356 -1230212702 -845130760 1031304120</internalNodes>
+          <leafValues>
+            -6.7982202768325806e-01 2.2837364673614502e-01</leafValues></_></weakClassifiers></_>
+    <!-- stage 10 -->
+    <_>
+      <maxWeakCount>7</maxWeakCount>
+      <stageThreshold>-1.4132889509201050e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
+            0 -1 12 -536875009 -2440229 -879574145 -631633446 -607421733
+            -876133969 -68424037 -1</internalNodes>
+          <leafValues>
+            -6.4715534448623657e-01 2.7853882312774658e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 73 -1477499641 -974176545 -842545293 -157288001
+            1905777490 1562087471 -3745916 -7618561</internalNodes>
+          <leafValues>
+            -4.5892652869224548e-01 3.4213942289352417e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 56 75632917 -237112745 -543432897 -1084236583
+            -1179206657 -38041473 -861293605 -1147257866</internalNodes>
+          <leafValues>
+            -5.5536472797393799e-01 2.8528028726577759e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 58 -138468826 1273811468 353640576 2127243213
+            1461650197 969213753 918751790 1999634394</internalNodes>
+          <leafValues>
+            -6.1491394042968750e-01 2.4912446737289429e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 54 -1162866956 2134667985 -99042851 -1109503784
+            -1196887363 -73883459 2139668473 716970952</internalNodes>
+          <leafValues>
+            -7.2157818078994751e-01 2.3274585604667664e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 5 -487398398 -1937708982 -804074470 974963746 973503047
+            1210623275 -91234049 -412617609</internalNodes>
+          <leafValues>
+            -5.3705358505249023e-01 2.8468334674835205e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 38 -341841398 1753744002 135016450 843723747
+            -2113196852 36045198 -1018174713 -246420569</internalNodes>
+          <leafValues>
+            -4.4833818078041077e-01 3.5536417365074158e-01</leafValues></_></weakClassifiers></_>
+    <!-- stage 11 -->
+    <_>
+      <maxWeakCount>8</maxWeakCount>
+      <stageThreshold>-1.7711157798767090e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
+            0 -1 4 -296753297 1714156518 -771535401 -219220658
+            -738197729 659285035 -208932705 -33</internalNodes>
+          <leafValues>
+            -7.1962618827819824e-01 -2.0501138642430305e-02</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 48 -532156542 -75509505 -714114689 -35808497 -748954629
+            -8404374 1203960831 1879564870</internalNodes>
+          <leafValues>
+            -5.3061449527740479e-01 2.5552752614021301e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 71 -809505008 148437557 2100231608 -36126372
+            -1957963599 -1693853121 -1428218156 766506992</internalNodes>
+          <leafValues>
+            -5.8492779731750488e-01 2.5657415390014648e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 22 -1021107947 -545522707 -1048707 -146903060
+            -1787297987 -268632082 -253955 -1342484681</internalNodes>
+          <leafValues>
+            -3.6037015914916992e-01 4.6110373735427856e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 1 -614513110 -438073334 2032912326 40913542 -565458613
+            -406075145 -1669338114 1201095750</internalNodes>
+          <leafValues>
+            -5.8847701549530029e-01 2.6689708232879639e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 40 -47468470 -47250930 353509480 1470574770 -1020645334
+            283253657 1444053065 1472977026</internalNodes>
+          <leafValues>
+            -5.0797688961029053e-01 3.0955684185028076e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 59 141558648 -4148866 -818097707 380406893 505420265
+            2057962113 -1885320197 -1392608015</internalNodes>
+          <leafValues>
+            -5.9863525629043579e-01 2.6135751605033875e-01</leafValues></_>
+        <_>
+          <internalNodes>
+            0 -1 66 -2099954413 -269274625 -225782025 1943642134
+            -2645043 -1172682579 -2146894454 -1074512977</internalNodes>
+          <leafValues>
+            -4.0345665812492371e-01 3.9659076929092407e-01</leafValues></_></weakClassifiers></_></stages>
   <features>
     <_>
       <rect>
-        0 9 8 1</rect></_>
+        0 0 1 1</rect></_>
     <_>
       <rect>
-        1 1 12 3</rect></_>
+        0 0 4 4</rect></_>
     <_>
       <rect>
-        1 6 16 2</rect></_>
+        0 1 1 1</rect></_>
     <_>
       <rect>
-        2 0 12 2</rect></_>
+        0 1 3 1</rect></_>
     <_>
       <rect>
-        2 9 9 1</rect></_>
+        0 2 1 1</rect></_>
     <_>
       <rect>
-        5 7 12 1</rect></_>
+        0 2 2 2</rect></_>
     <_>
       <rect>
-        7 1 12 2</rect></_>
+        0 3 1 1</rect></_>
     <_>
       <rect>
-        7 3 10 1</rect></_>
+        0 4 1 2</rect></_>
     <_>
       <rect>
-        7 9 4 1</rect></_>
+        0 5 1 1</rect></_>
     <_>
       <rect>
-        8 6 1 1</rect></_>
+        0 6 1 1</rect></_>
     <_>
       <rect>
-        10 2 10 3</rect></_>
+        0 7 2 2</rect></_>
     <_>
       <rect>
-        10 7 11 1</rect></_>
+        0 7 3 1</rect></_>
     <_>
       <rect>
-        12 0 2 1</rect></_>
+        0 10 1 1</rect></_>
     <_>
       <rect>
-        12 6 1 1</rect></_>
+        1 2 5 3</rect></_>
     <_>
       <rect>
-        14 4 1 1</rect></_>
+        1 4 3 3</rect></_>
     <_>
       <rect>
-        15 0 10 1</rect></_>
+        1 4 5 2</rect></_>
     <_>
       <rect>
-        16 4 1 1</rect></_>
+        2 2 4 3</rect></_>
     <_>
       <rect>
-        16 8 7 1</rect></_>
+        2 10 1 1</rect></_>
     <_>
       <rect>
-        17 0 5 1</rect></_>
+        3 7 13 2</rect></_>
     <_>
       <rect>
-        21 8 5 1</rect></_>
+        4 0 3 1</rect></_>
     <_>
       <rect>
-        22 1 5 2</rect></_>
+        4 2 15 3</rect></_>
     <_>
       <rect>
-        22 6 1 1</rect></_>
+        4 10 3 1</rect></_>
     <_>
       <rect>
-        24 5 1 1</rect></_>
+        5 0 4 1</rect></_>
     <_>
       <rect>
-        29 0 3 1</rect></_>
+        5 2 13 3</rect></_>
     <_>
       <rect>
-        30 6 1 1</rect></_>
+        5 10 7 1</rect></_>
     <_>
       <rect>
-        32 2 1 2</rect></_>
+        6 0 2 1</rect></_>
     <_>
       <rect>
-        34 1 1 3</rect></_>
+        6 2 6 2</rect></_>
     <_>
       <rect>
-        36 4 1 1</rect></_>
+        6 5 5 2</rect></_>
     <_>
       <rect>
-        37 9 3 1</rect></_>
+        6 6 1 1</rect></_>
     <_>
       <rect>
-        40 6 1 1</rect></_>
+        7 0 1 1</rect></_>
     <_>
       <rect>
-        40 6 1 2</rect></_>
+        7 1 4 2</rect></_>
     <_>
       <rect>
-        41 5 1 2</rect></_>
+        7 10 2 1</rect></_>
     <_>
       <rect>
-        42 3 2 2</rect></_></features></cascade>
+        8 0 10 1</rect></_>
+    <_>
+      <rect>
+        9 0 9 1</rect></_>
+    <_>
+      <rect>
+        9 10 6 1</rect></_>
+    <_>
+      <rect>
+        10 8 11 1</rect></_>
+    <_>
+      <rect>
+        10 9 10 1</rect></_>
+    <_>
+      <rect>
+        12 10 9 1</rect></_>
+    <_>
+      <rect>
+        13 6 1 1</rect></_>
+    <_>
+      <rect>
+        14 5 1 1</rect></_>
+    <_>
+      <rect>
+        15 4 1 2</rect></_>
+    <_>
+      <rect>
+        16 0 3 1</rect></_>
+    <_>
+      <rect>
+        16 6 2 1</rect></_>
+    <_>
+      <rect>
+        16 10 5 1</rect></_>
+    <_>
+      <rect>
+        18 0 5 1</rect></_>
+    <_>
+      <rect>
+        18 7 9 2</rect></_>
+    <_>
+      <rect>
+        19 5 2 1</rect></_>
+    <_>
+      <rect>
+        19 10 7 1</rect></_>
+    <_>
+      <rect>
+        20 0 2 3</rect></_>
+    <_>
+      <rect>
+        21 0 3 1</rect></_>
+    <_>
+      <rect>
+        21 6 1 1</rect></_>
+    <_>
+      <rect>
+        23 0 5 1</rect></_>
+    <_>
+      <rect>
+        23 0 7 2</rect></_>
+    <_>
+      <rect>
+        23 6 2 2</rect></_>
+    <_>
+      <rect>
+        24 10 4 1</rect></_>
+    <_>
+      <rect>
+        26 1 6 3</rect></_>
+    <_>
+      <rect>
+        27 0 2 1</rect></_>
+    <_>
+      <rect>
+        28 0 2 3</rect></_>
+    <_>
+      <rect>
+        30 5 2 2</rect></_>
+    <_>
+      <rect>
+        31 9 3 1</rect></_>
+    <_>
+      <rect>
+        35 0 3 1</rect></_>
+    <_>
+      <rect>
+        37 9 5 1</rect></_>
+    <_>
+      <rect>
+        38 10 2 1</rect></_>
+    <_>
+      <rect>
+        40 0 4 2</rect></_>
+    <_>
+      <rect>
+        40 10 4 1</rect></_>
+    <_>
+      <rect>
+        43 7 3 2</rect></_>
+    <_>
+      <rect>
+        44 0 2 1</rect></_>
+    <_>
+      <rect>
+        45 2 2 2</rect></_>
+    <_>
+      <rect>
+        46 0 2 1</rect></_>
+    <_>
+      <rect>
+        46 5 2 1</rect></_>
+    <_>
+      <rect>
+        46 6 2 2</rect></_>
+    <_>
+      <rect>
+        46 10 2 1</rect></_>
+    <_>
+      <rect>
+        49 1 1 1</rect></_>
+    <_>
+      <rect>
+        49 2 1 1</rect></_>
+    <_>
+      <rect>
+        49 4 1 1</rect></_>
+    <_>
+      <rect>
+        49 5 1 2</rect></_>
+    <_>
+      <rect>
+        49 6 1 1</rect></_></features></cascade>
 </opencv_storage>