I've create a classifier using Haartraining_Stuff, i have to create a road signal detection, i create a file info, negative.txt, positive.txt and .vec file.
Then i use command traincascade write like this:> C:\OpenCV\opencv\build\x86\vc11\bin\opencv_traincascade.exe> -data classifier\ -vec "C:\OpenCV\sample.vec" -bg> "C:\OpenCV\negativeNew.txt" -numStages> 2 -minHitRate 0.01 -maxFalseAllarmRate> 0.5 -numPos 2 -numNeg 250 -w 20 -h 20 -mode ALL -precalcvalBuffSize 256 -precalcdxBufSize 256
But when i run it, give me this:
> C:\OpenCV>C:\OpenCV\opencv\build\x86\vc11\bin\opencv_traincascade.exe> -data classifier\ -vec "C:\OpenCV\sample.vec" -bg> "C:\OpenCV\negativeNew.txt" -numStages> 2 -minHitRate 0.01 -maxFalseAllarmRate> 0.5 -numPos 2 -numNeg 250 -w 20 -h 20 -mode ALL -precalcvalBuffSize 256 -precalcdxBufSize 256 PARAMETERS: cascadeDirName: classifier\> vecFileName: C:\OpenCV\sample.vec> bgFileName: C:\OpenCV\negativeNew.txt> numPos: 2 numNeg: 250 numStages: 2> precalcValBufSize[Mb] : 1024> precalcIdxBufSize[Mb] : 1024> acceptanceRatioBreakValue : -1> stageType: BOOST featureType: HAAR> sampleWidth: 20 sampleHeight: 20> boostType: GAB minHitRate: 0.01> maxFalseAlarmRate: 0.5 weightTrimRate:> 0.95 maxDepth: 1 maxWeakCount: 100 mode: ALL>> ===== TRAINING 0-stage ===== <> BEGIN POS count : consumed 2 : 2 NEG count> : acceptanceRatio 250 : 1> Precalculation time: 0.594> +----+---------+---------+ >| N | HR | FA |> +----+---------+---------+ >| 1| 1| 0|> +----+---------+---------+ > END> Training until now has taken 0 days 0> hours 0 minutes 1 seconds.>> ===== TRAINING 1-stage ===== > BEGIN POS count : consumed 2 : 2 NEG count> : acceptanceRatio 250 : 0.0423155> Required leaf false alarm rate achieved. Branch training terminated.
I think the problem is the low positive image no?
There is a command for use distorsion or something like this for create more file positive without take photo around? Thanks for help.
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