2016-07-20 06:26:57 -0600 | received badge | ● Enthusiast |
2016-07-06 06:02:55 -0600 | 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 -0600 | 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 -0600 | 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
but your output is
Anyway.. i fixed my problem by turning up both values Kind regards
to 2048 I also just got this problem when i used -mode ALL |
2016-06-09 10:16:49 -0600 | 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 |