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laughDetector.xml
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<?xml version="1.0"?>
<opencv_storage>
<!-- Created using Computer Vision System Toolbox(tm) for MATLAB(R) -->
<!-- Version 9.1.0.441655 (R2016b) -->
<!-- Compatible with OpenCV 2.4 -->
<cascade>
<stageType>BOOST</stageType>
<featureType>HOG</featureType>
<height>32</height>
<width>60</width>
<stageParams>
<boostType>GAB</boostType>
<minHitRate>9.9500000476837158e-01</minHitRate>
<maxFalseAlarm>1.0000000149011612e-01</maxFalseAlarm>
<weightTrimRate>9.4999999999999996e-01</weightTrimRate>
<maxDepth>1</maxDepth>
<maxWeakCount>100</maxWeakCount></stageParams>
<featureParams>
<maxCatCount>0</maxCatCount>
<featSize>36</featSize></featureParams>
<stageNum>4</stageNum>
<stages>
<!-- stage 0 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>1.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 0 7.5035482645034790e-02</internalNodes>
<leafValues>
-1. 1.</leafValues></_></weakClassifiers></_>
<!-- stage 1 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>1.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 2 6.2139391899108887e-02</internalNodes>
<leafValues>
-1. 1.</leafValues></_></weakClassifiers></_>
<!-- stage 2 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>8.6666667461395264e-01</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 3 6.7630461417138577e-03</internalNodes>
<leafValues>
8.6666667461395264e-01 -1.</leafValues></_></weakClassifiers></_>
<!-- stage 3 -->
<_>
<maxWeakCount>1</maxWeakCount>
<stageThreshold>1.</stageThreshold>
<weakClassifiers>
<_>
<internalNodes>
0 -1 1 3.7140764296054840e-02</internalNodes>
<leafValues>
-1. 1.</leafValues></_></weakClassifiers></_></stages>
<features>
<_>
<rect>
0 0 8 8 32</rect></_>
<_>
<rect>
0 16 8 8 25</rect></_>
<_>
<rect>
32 16 8 8 11</rect></_>
<_>
<rect>
16 0 16 8 9</rect></_></features></cascade>
</opencv_storage>