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340 changes: 340 additions & 0 deletions data/cascade.xml
Original file line number Diff line number Diff line change
@@ -0,0 +1,340 @@
<?xml version="1.0"?>
<opencv_storage>
<cascade>
<stageType>BOOST</stageType>
<featureType>HAAR</featureType>
<height>25</height>
<width>25</width>
<stageParams>
<boostType>GAB</boostType>
<minHitRate>0.</minHitRate>
<maxFalseAlarm>0.</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>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 4 1.5096865594387054e-02</internalNodes>
<leafValues>
-5.7564578056335449e+00 5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 1 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 16 -5.6720455177128315e-03</internalNodes>
<leafValues>
5.7564578056335449e+00 -5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 2 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 14 1.6669675707817078e-02</internalNodes>
<leafValues>
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<!-- stage 3 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 8 3.3125355839729309e-02</internalNodes>
<leafValues>
-5.7564578056335449e+00 5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 4 -->
<_>
<maxWeakCount>3</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 6 9.1002210974693298e-02</internalNodes>
<leafValues>
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<_>
<internalNodes>
0 -1 15 4.8607338219881058e-02</internalNodes>
<leafValues>
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<_>
<internalNodes>
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<leafValues>
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<!-- stage 5 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 18 -7.9283490777015686e-02</internalNodes>
<leafValues>
5.7564578056335449e+00 -5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 6 -->
<_>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 12 7.1640312671661377e-04</internalNodes>
<leafValues>
2.8518912792205811e+00 -5.7564578056335449e+00</leafValues></_>
<_>
<internalNodes>
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<leafValues>
5.7564578056335449e+00 -5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 7 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 11 1.6833599656820297e-03</internalNodes>
<leafValues>
5.7564578056335449e+00 -5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 8 -->
<_>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 17 5.6641250848770142e-03</internalNodes>
<leafValues>
2.8518912792205811e+00 -5.7564578056335449e+00</leafValues></_>
<_>
<internalNodes>
0 -1 2 -6.6993390209972858e-03</internalNodes>
<leafValues>
-5.7564578056335449e+00 5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 9 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 3 4.2780563235282898e-02</internalNodes>
<leafValues>
-5.7564578056335449e+00 5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 10 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 5 -8.5427355952560902e-04</internalNodes>
<leafValues>
-5.7564578056335449e+00 5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 11 -->
<_>
<maxWeakCount>2</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 10 3.5534990020096302e-03</internalNodes>
<leafValues>
2.8518912792205811e+00 -5.7564578056335449e+00</leafValues></_>
<_>
<internalNodes>
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<leafValues>
5.7564578056335449e+00 -5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 12 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 7 2.8469457756727934e-03</internalNodes>
<leafValues>
5.7564578056335449e+00 -1.4978661537170410e+00</leafValues></_></weakClassifiers></_>
<!-- stage 13 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 9 2.5141039863228798e-02</internalNodes>
<leafValues>
-5.7564578056335449e+00 5.7564578056335449e+00</leafValues></_></weakClassifiers></_>
<!-- stage 14 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>0.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 0 -4.3817155528813601e-04</internalNodes>
<leafValues>
-5.7564578056335449e+00 5.7564578056335449e+00</leafValues></_></weakClassifiers></_></stages>
<features>
<_>
<rects>
<_>
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<_>
0 1 1 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
0 0 1 12 -1.</_>
<_>
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<tilted>0</tilted></_>
<_>
<rects>
<_>
0 0 2 12 -1.</_>
<_>
0 0 1 6 2.</_>
<_>
1 6 1 6 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
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<_>
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<tilted>0</tilted></_>
<_>
<rects>
<_>
0 1 6 15 -1.</_>
<_>
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<tilted>0</tilted></_>
<_>
<rects>
<_>
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<_>
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<_>
3 3 3 1 2.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
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<_>
8 3 8 8 3.</_></rects>
<tilted>0</tilted></_>
<_>
<rects>
<_>
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<_>
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<_>
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<_>
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<_>
0 6 6 14 -1.</_>
<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<tilted>0</tilted></_>
<_>
<rects>
<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
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<_>
<rects>
<_>
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<_>
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<tilted>0</tilted></_></features></cascade>
</opencv_storage>
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