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Hello,

I have a simple stupid question :)

We're using a CascadeClassifier to load LBP models (I say we cause I don't code the core, but it impacts me ;)). We use the method detectMultiScale.

I made some tests to check charge, cpu & memory load, etc on our application, and I noticed something: let's imagine we have a lots of model (1000 or more :D)

I can load them and keep them in a list/vector whatever, memory's ok.

Then, with a sample image, for each classifier I call the detectMultiScale method : the memory grows up very very quickly . But if delete the classifier at each loop after using it, the memory stays ok.

So I was wondering, do the CascadeClassifier keeps data in his instance after detectMultiScale ? Well, it can be in our own code (ooh yes!), but as I don't find anything, I ask for the library too ...

Thanx a lot :)

Hello,

I have a simple stupid question :)

We're using a CascadeClassifier to load LBP models (I say we cause I don't code the core, but it impacts me ;)). We use the method detectMultiScale.

I made some tests to check charge, cpu & memory load, etc on our application, and I noticed something: let's imagine we have a lots of model (1000 or more :D)

I can load them and keep them in a list/vector whatever, memory's ok.

Then, with a sample image, for each classifier I call the detectMultiScale method : the memory grows up very very quickly . But if delete the classifier at each loop after using it, the memory stays ok.

So I was wondering, do the CascadeClassifier keeps data in his instance after detectMultiScale ? Well, it can be in our own code (ooh yes!), but as I don't find anything, I ask for the library too ...

Thanx a lot :)