I'm training a cascade classifier now and it's on the 6th stage and has been there for more than 48 hours so far. It's slowly working through the negatives. I'm wondering if the resolution of the negatives is causing this? They are large-ish images (roughly desktop background resolution). I noticed that using cascade classifiers is much faster with smaller images so I can only imagine that training with large images slows it down as well. Any experience with this?
So what is the ideal resolution for negatives?