Hello,
I would like to use FaceRecognizer to distinguish between specific faces. Accuracy is important to me and I'm making use of eigenfaces as I think it might be the best for this task(?).
So far, in my tests, it seems to be working well, but I would like to know how this will scale up. What if I wanted to distiguish between 1000's of faces? What about 100,000? Is it possible or will I hit memory/speed limits. My main question is:
How much memory does the model typically use up, per face?
Thanks much!