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2016-06-21 07:42:41 -0600	asked a question	Is this vec file any good I'm trying to build a UAV classifier, but having little success. I know I need more sample but am I on the right track? My Vec File has 300 images all scales to 50 X 30 I'm using 1200 negative images. Is it just a need for more sample or is there a fundamental error in the type of samples I'm collecting Any pointers from some more experienced users would be appreicated. I just don't want to carry on what I'm doing for another 700 or so images if my approach itself is flawed regards Jon
2016-06-20 11:01:21 -0600	commented question	Classifier not building Trying to detect UAV's, think it may be partly because I have side views and underside views in the same list, and the aspect ratio on some might be a little out. How do you know it thinks the samples are flawed?
2016-06-20 04:08:48 -0600	commented question	Classifier not building thank you , appreciated
2016-06-20 03:50:52 -0600	received badge	● Editor (source)
2016-06-20 03:50:21 -0600	commented question	Classifier not building sorry for the poor formatting, trying to work out how to edit the original post
2016-06-20 03:44:23 -0600	asked a question	Classifier not building I'm trying to build a classifier but keep getting the above error. I have over 800 positive images in the vector file and over 1300 pics referenced in the text file. If anybody can give me an idea of what could be going wrong it would be appreciated regards Jon PS C:\Users\Jon\Desktop\test> .\opencv_traincascade.exe -data data -vec uav.vec -bg info_neg.txt -numPos 500 -numNeg 1200 -numStages 2 -w 50 -h 30 -featureType LBP --------------------------------------------------------------------------------- Training parameters are pre-loaded from the parameter file in data folder! Please empty this folder if you want to use a NEW set of training parameters. -------------------------------------------------------------------------------- PARAMETERS: cascadeDirName: data vecFileName: uav.vec bgFileName: info_neg.txt numPos: 500 numNeg: 1200 numStages: 2 precalcValBufSize[Mb] : 1024 precalcIdxBufSize[Mb] : 1024 acceptanceRatioBreakValue : -1 stageType: BOOST featureType: LBP sampleWidth: 50 sampleHeight: 30 boostType: GAB minHitRate: 0.995 maxFalseAlarmRate: 0.5 weightTrimRate: 0.95 maxDepth: 1 maxWeakCount: 100 Stage 0 is loaded ===== TRAINING 1-stage ===== <BEGIN POS count : consumed 500 : 502 Train dataset for temp stage can not be filled. Branch training terminated. PS C:\Users\Jon\Desktop\test>