TrainCascade: What happened to -sym and -nonsym? [closed]
Hello:
I see -sym and -nonsym arguments in tutorials for the haartraining utility, but I don't see it mentioned in the new traincascade. I checked the documentation and didn't see it deprecated.
What should we know? Does traincascade now assume symmetry in positive samples, as it was the default in the old utility? Or does it assume non-symmetry by working in a different manner?
Thanks
It is simple, the new models don't support symmetry, they just assume that samples are non symetric since the symetric measurement was kind of giving bad results. It is dumb to use the symmetry to train only a half model and copy it, because even small changes will destroy performance then.
Thank you, Steven.
Matter closed. (uh, when I get enough reputation, I guess)