Hey there,
I want to know, how can i find an analytic and scientific way to find the best parameters when training a cascade in opencv_traincascade? (let's just talk about: Stages, minHitRate and maxFalseAlarmRate)
I mean, I don't want to experiment by any gut instincts, instead it should be a reasonable line that my experiments are following with the result that this parameters are kind of optimal (I know i can't solve the error rates completly and the right parameters depend from case to case).
Would be also good if you can recommend me some good literature for that topic.
Thanks for your time guys!
Kind regards, cv_enthusiast