Train from haarcascade frontface
Hi, this must be a question that is often asked, but I cannot find an answer nor intructions on how to.
Is it possible to train a cascade model from the already train haarcascade frontface default? My goal is for the script to recognise specific people (i.e. me). I know there is a recongniser built in opencv, but it is quite slow on a raspberry pi compared to a cascade xml.
I am tryingto train a model from scratch, but with mixed results.
thanks
(ps: I'll also post this question on stackoverflow)
you must be doing something wrong
Really? what fps should I be expected? I got barely a couple.. I followed this post https://towardsdatascience.com/real-t...
how large are your crops ? most time will be spent in feature extraction
if those are significantly larger than say100x100 -- resize to some thing smaller
yea, but you also got those weird sleep() and (blocking) GPIO calls in there, once you detect something, so no fair measuring possible
humm, interesting, much better frame rate, now I just need to deal with the latency.