I am trying to train Haar Cascade to detect hands. I have a vec file of size 1000. I have 40 positive images and 600 negative images. I tried to reset my positive images as well as negative images. When I run the following command, I get the following error:
opencv_traincascade -data classifier -data classifier -vec samples.vec -bg negatives.txt -numstages 20 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -numPos 1000\ -numNeg 600 -w 80 -h 40 -mode ALL -precalcValBufSize 1024\ -precalcIdxBufSize 1024
PARAMETERS: cascadeDirName: classifier vecFileName: samples.vec bgFileName: negatives.txt numPos: 1000 numNeg: 1000 numStages: 20 precalcValBufSize[Mb] : 256 precalcIdxBufSize[Mb] : 256 stageType: BOOST featureType: HAAR sampleWidth: 24 sampleHeight: 24 boostType: GAB minHitRate: 0.999 maxFalseAlarmRate: 0.5 weightTrimRate: 0.95 maxDepth: 1 maxWeakCount: 100 mode: BASIC ===== TRAINING 0-stage ===== <BEGIN OpenCV Error: Assertion failed (_img.rows * _img.cols == vecSize) in get, file /home/lie/Desktop/Install-OpenCV-master/Ubuntu/2.4/OpenCV/opencv-2.4.9/apps/traincascade/imagestorage.cpp, line 157 terminate called after throwing an instance of 'cv::Exception' what(): /home/lie/Desktop/Install-OpenCV-master/Ubuntu/2.4/OpenCV/opencv-2.4.9/apps/traincascade/imagestorage.cpp:157: error: (-215) _img.rows * _img.cols == vecSize in function get
Canceled (kernel resets)
I tried to lower my positive score and repeat the whole process and still got the same error. Any suggestions?
By the way: I am following a tutorial: http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html
thanks
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