Hello everyone,
I am trying to train a LBPHFaceRecognizer model with photos from a lot of persons. The problem is that at a point I get an OutOfMemory error. I looked up at the model after I saved in a file and it seems to be saving the histograms of every photo and i think this is the problem. From my point of view it should be saving a representative set of features for every person (If I have 50 photos with the same label it should be saving 1 representative histogram<maybe the="" centroid="" of="" the="" histograms="" cluster="">, not 50). Maybe I am wrong, but if is there someone who knows better what happens in the training and predict phases for this algorithm or someone who used it for a big dataset, please reply.
Thank you, Bogdan
