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2016-07-20 06:26:57 -0500 received badge  Enthusiast
2016-07-06 06:02:55 -0500 asked a question Sliding window size of detectMultiScale

Hey there,

can anyone please tell me whats the concrete sliding window size of cv::CascadeClassifier::detectMultiScale? Can't find any information about that.

Thanks folks!

Kind regards, cv_enthusiast

2016-06-10 08:50:18 -0500 commented question analytic choice of parameters in traincascade

Hey thanks! I like these papers. But about the choice of the right parameters they write following: "Unfortunately finding this optimum is a tremendously difficult problem."

Can anybody explain why?

2016-06-10 08:49:13 -0500 answered a question "Train dataset for temp stage can not be filled." on opencv_traincascade

Hey, i had the same problem like you!

First of all, I'm a bit confused... your input is

-mode ALL

but your output is

mode: BASIC

Anyway.. i fixed my problem by turning up both values

Kind regards

precalcValBufSize and precalcIdxBufSize

to 2048

I also just got this problem when i used -mode ALL

2016-06-09 10:16:49 -0500 asked a question analytic choice of parameters in traincascade

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