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Hi, I created 10 Haar classifiers for recognizing digits. Because of that I got to create 10 CascadeClassifier objects and run detectMultiScale 10 times in order to find a number in a single Mat. I was thinking to investigate if there is a point in creating a new class CascadeClassifierGroup that would allow to load many classifiers and detect objects for each of them in a single run, taking into account cache friendliness etc. But before doing that, I wanted to ask if you see some better option in terms of performance.