I have tried training my own classifier for a couple of times now (to detect cows) and just when I finally fine-tune my images in the positives data-set, I run into this while training:
I realize I have to release memory in order to free some space and referred to [THIS](http://aishack.in/tutorials/opencv-memory-management/)
But I am actually a little confused as to how to proceed further. Can anyone help with an optimal solution for this so that I can resume my training? Thanks in advance.
Note:
1. my positives vary from 20-25KB on an average and negatives from 30-55KB.
2. Positives: 355x 280 pixels, I read somewhere that w,h must maintain this aspect ratio , hence used -w 71 -h 56
3. Im using 133 positives and 200 negatives, cows in positives all face the left side ( same profile)
Are these parameters alright for the training? This is the 11th time I am trying to build a decent classifier for this :(
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