attempt screw recognition
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Cole Deck
136
output2/cascade.xml
Normal file
136
output2/cascade.xml
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<?xml version="1.0"?>
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<opencv_storage>
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<cascade>
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<stageType>BOOST</stageType>
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<featureType>HAAR</featureType>
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<height>48</height>
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<width>48</width>
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<stageParams>
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<boostType>GAB</boostType>
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<minHitRate>9.9500000476837158e-01</minHitRate>
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<maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
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<weightTrimRate>9.4999999999999996e-01</weightTrimRate>
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<maxDepth>1</maxDepth>
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<maxWeakCount>100</maxWeakCount></stageParams>
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<featureParams>
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<maxCatCount>0</maxCatCount>
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<featSize>1</featSize>
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<mode>BASIC</mode></featureParams>
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<stageNum>6</stageNum>
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<stages>
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<!-- stage 0 -->
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<_>
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<maxWeakCount>1</maxWeakCount>
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<stageThreshold>1.</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 3 -1.9765232503414154e-01</internalNodes>
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<leafValues>
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-1. 1.</leafValues></_></weakClassifiers></_>
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<!-- stage 1 -->
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<_>
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<maxWeakCount>1</maxWeakCount>
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<stageThreshold>9.1666668653488159e-01</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 4 -1.7551980912685394e-02</internalNodes>
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<leafValues>
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9.1666668653488159e-01 -1.</leafValues></_></weakClassifiers></_>
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<!-- stage 2 -->
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<_>
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<maxWeakCount>2</maxWeakCount>
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<stageThreshold>-2.4238869547843933e-02</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 5 -1.1791426222771406e-03</internalNodes>
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<leafValues>
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-8.9999997615814209e-01 1.</leafValues></_>
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<_>
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<internalNodes>
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0 -1 6 -3.3253384754061699e-03</internalNodes>
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<leafValues>
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-9.5096373558044434e-01 8.7576115131378174e-01</leafValues></_></weakClassifiers></_>
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<!-- stage 3 -->
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<_>
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<maxWeakCount>1</maxWeakCount>
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<stageThreshold>1.</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 2 5.8022616431117058e-03</internalNodes>
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<leafValues>
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1. -1.</leafValues></_></weakClassifiers></_>
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<!-- stage 4 -->
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<_>
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<maxWeakCount>1</maxWeakCount>
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<stageThreshold>1.</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 1 3.4932465496240184e-05</internalNodes>
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<leafValues>
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1. -1.</leafValues></_></weakClassifiers></_>
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<!-- stage 5 -->
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<_>
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<maxWeakCount>1</maxWeakCount>
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<stageThreshold>1.</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 0 -1.8354039639234543e-03</internalNodes>
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<leafValues>
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-1. 1.</leafValues></_></weakClassifiers></_></stages>
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<features>
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<_>
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<rects>
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<_>
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0 0 3 1 -1.</_>
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<_>
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1 0 1 1 2.</_></rects>
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<tilted>0</tilted></_>
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<_>
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<rects>
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<_>
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0 0 4 28 -1.</_>
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<_>
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2 0 2 28 2.</_></rects>
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<tilted>0</tilted></_>
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<_>
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<rects>
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<_>
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0 15 43 10 -1.</_>
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<_>
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0 20 43 5 2.</_></rects>
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<tilted>0</tilted></_>
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<_>
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<rects>
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<_>
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3 33 45 12 -1.</_>
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<_>
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18 33 15 12 2.</_></rects>
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<tilted>0</tilted></_>
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<_>
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<rects>
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<_>
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12 7 18 16 -1.</_>
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<_>
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12 15 18 8 2.</_></rects>
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<tilted>0</tilted></_>
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<_>
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<rects>
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<_>
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17 28 6 2 -1.</_>
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<_>
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19 28 2 2 2.</_></rects>
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<tilted>0</tilted></_>
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<_>
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<rects>
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<_>
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21 22 2 9 -1.</_>
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<_>
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21 25 2 3 2.</_></rects>
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<tilted>0</tilted></_></features></cascade>
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</opencv_storage>
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19
output2/params.xml
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19
output2/params.xml
Normal file
@ -0,0 +1,19 @@
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<?xml version="1.0"?>
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<opencv_storage>
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<params>
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<stageType>BOOST</stageType>
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<featureType>HAAR</featureType>
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<height>48</height>
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<width>48</width>
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<stageParams>
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<boostType>GAB</boostType>
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<minHitRate>9.9500000476837158e-01</minHitRate>
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<maxFalseAlarm>5.0000000000000000e-01</maxFalseAlarm>
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<weightTrimRate>9.4999999999999996e-01</weightTrimRate>
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<maxDepth>1</maxDepth>
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<maxWeakCount>100</maxWeakCount></stageParams>
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<featureParams>
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<maxCatCount>0</maxCatCount>
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<featSize>1</featSize>
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<mode>BASIC</mode></featureParams></params>
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</opencv_storage>
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12
output2/stage0.xml
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12
output2/stage0.xml
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@ -0,0 +1,12 @@
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<?xml version="1.0"?>
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<opencv_storage>
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<stage0>
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<maxWeakCount>1</maxWeakCount>
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<stageThreshold>1.</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 400953 -1.9765232503414154e-01</internalNodes>
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<leafValues>
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-1. 1.</leafValues></_></weakClassifiers></stage0>
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</opencv_storage>
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12
output2/stage1.xml
Normal file
12
output2/stage1.xml
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@ -0,0 +1,12 @@
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<?xml version="1.0"?>
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<opencv_storage>
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<stage1>
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<maxWeakCount>1</maxWeakCount>
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<stageThreshold>9.1666668653488159e-01</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 1145941 -1.7551980912685394e-02</internalNodes>
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<leafValues>
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9.1666668653488159e-01 -1.</leafValues></_></weakClassifiers></stage1>
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</opencv_storage>
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17
output2/stage2.xml
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17
output2/stage2.xml
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@ -0,0 +1,17 @@
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<?xml version="1.0"?>
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<opencv_storage>
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<stage2>
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<maxWeakCount>2</maxWeakCount>
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<stageThreshold>-2.4238869547843933e-02</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 1551750 -1.1791426222771406e-03</internalNodes>
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<leafValues>
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-8.9999997615814209e-01 1.</leafValues></_>
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<_>
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<internalNodes>
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0 -1 1796333 -3.3253384754061699e-03</internalNodes>
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<leafValues>
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-9.5096373558044434e-01 8.7576115131378174e-01</leafValues></_></weakClassifiers></stage2>
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</opencv_storage>
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12
output2/stage3.xml
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12
output2/stage3.xml
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@ -0,0 +1,12 @@
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<?xml version="1.0"?>
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<opencv_storage>
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<stage3>
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<maxWeakCount>1</maxWeakCount>
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<stageThreshold>1.</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 58934 5.8022616431117058e-03</internalNodes>
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<leafValues>
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1. -1.</leafValues></_></weakClassifiers></stage3>
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</opencv_storage>
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12
output2/stage4.xml
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12
output2/stage4.xml
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@ -0,0 +1,12 @@
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<?xml version="1.0"?>
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<opencv_storage>
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<stage4>
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<maxWeakCount>1</maxWeakCount>
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<stageThreshold>1.</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 278 3.4932465496240184e-05</internalNodes>
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<leafValues>
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1. -1.</leafValues></_></weakClassifiers></stage4>
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</opencv_storage>
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12
output2/stage5.xml
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12
output2/stage5.xml
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@ -0,0 +1,12 @@
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<?xml version="1.0"?>
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<opencv_storage>
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<stage5>
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<maxWeakCount>1</maxWeakCount>
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<stageThreshold>1.</stageThreshold>
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<weakClassifiers>
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<_>
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<internalNodes>
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0 -1 2 -1.8354039639234543e-03</internalNodes>
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<leafValues>
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-1. 1.</leafValues></_></weakClassifiers></stage5>
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</opencv_storage>
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