Created
March 21, 2018 14:55
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Train HAAR like classifier. opencv 3.3.1 [opencv_createsamples]
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| export OPENCV_OPENCL_RUNTIME="" | |
| find positives/ -type f | \ | |
| xargs -P 8 -n 1 -INAME opencv_createsamples -bgcolor 0 -bgthresh 0 -maxxangle 1.1 -maxyangle 1.1 -maxzangle 0.5 -maxidev 40 -w 80 -h 40 -img 'NAME' -bg ./negs/negatives.txt -vec samples/NAME.vec -num 1 | |
| wget 'https://raw.githubusercontent.com/wulfebw/mergevec/master/mergevec.py' | |
| python mergevec.py -v ./samples/cuts/ -o samples.vec | |
| OPENCV_OPENCL_RUNTIME=NVIDIA:GPU:1 opencv_traincascade -data classifier -vec samples.vec -bg negs/negatives.txt -numStages 20 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -numPos 70000 -numNeg 78678 -w 80 -h 40 -mode ALL -precalcValBufSize 1024 -precalcIdxBufSize 1024 |
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