When I run this command:
opencv_traincascade -data classifier -vec samples.vec -bg negatives.txt -featureType LBP -numStages 20 -minHitRate 0.999 -maxFalseAlarmRate 0.5 -numPos 100 -numNeg 750 -w 72 -h 24 -mode ALL -precalcValBufSize 1024 -precalcIdxBufSize 1024
The trainer is stuck at this stage indefinitely, using 99.x% of the CPU. This happens on Macs with both 4GB ram and 16GB ram.
===== TRAINING 0-stage ===== <begin pos="" count="" :="" consumed="" 100="" :="" 100="" neg="" count="" :="" acceptanceratio="" 750="" :="" 1<="" p="">
Without the -featureType LBP it runs fine seemingly and uses a reasonable amount of CPU (13%). My data is as follows: 11 initial positive images, 750 negatives -> create_samples returning 250 positive images. Am I doing something wrong?