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POWhy is my haar classifier slow?
 

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  1. POWhy is my haar classifier slow?
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    <p>I trained a HAAR classifier to detect hands in a LIVE VIDEO FEED from the webcam. I used 621 positives &amp; 3712 negatives.</p> <p>I used opencv_createsamples to generate the vec file for positives: ./opencv_createsamples -vec /Users/.../positivesvec.vec -info /Users/.../positiveDesc.txt -w 20 -h 30</p> <p>And then, I used opencv_traincascade to train the classifier: opencv_traincascade -data /Users/.../hand -vec /Users/.../positivesvec.vec -bg /Users/.../negativeDesc.txt -numPos 621 -numNeg 3712 -numStages 15 minHitRate 0.999 maxFalseAlarmRate 0.5 -w 20 -h 30 -mode ALL</p> <p>The training took around 30 hours or so and I got an xml file. However, when I use that xml file for detection, it is really VERY slow (1 frame in 3-4 seconds maybe).</p> <p>I know that my object detection code is correct because it works perfectly for faces. This is what I use:</p> <pre><code>trained_cascade_name = "/Users/.../cascade.xml"; if( !cascade.load( trained_cascade_name ) ){ qDebug()&lt;&lt;"Error loading cascade file!"; return; }; std::vector&lt;Rect&gt; hands; Mat frame_gray; // Haar works on grayscale images cvtColor(frame, frame_gray, CV_RGB2GRAY); equalizeHist(frame_gray, frame_gray); cascade.detectMultiScale( frame_gray, hands, 1.1, 3, 0|CV_HAAR_DO_CANNY_PRUNING|CV_HAAR_FIND_BIGGEST_OBJECT, cv::Size(30,30),cv::Size(100,100)); CvPoint topleft, bottomright; for( int i = 0; i &lt; hands.size(); i++ ) { topleft.x=hands[i].x; topleft.y=hands[i].y; bottomright.x=hands[i].x+hands[i].width; bottomright.y=hands[i].y+hands[i].height; cv::rectangle(frame, topleft, bottomright, Scalar(255,0,255), 1, 8, 0); } </code></pre>
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    1. COare you search over the same size ranges for faces and hands?
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      1. POWhy is my haar classifier slow?
      1. USBull
    2. COThis doesn't really have anything to do with faces. I'm not sure what you mean. The variable name was "faces". I've changed that now, so that it doesn't cause confusion.
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    3. COYou say the algorithm is fast with faces but slow with hands. Are you passing the same size range paramters to cascade.detectMultiScale()?
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      1. USBull
 

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