“Incremental” [face] training
I've been working with some face detection in OpenCV. I have a couple projects I've done - one does face detection which uses a _pre-built_ model. Some others do different things where I collect my own images and train my own models. When I do the latter, it's generally with much smaller datasets that what you'd use for face training.
On my face recognizer - many of the common faces I work with do _not_ get detected properly (due to odd properties like masks, hats, goggles, glasses, etc). So I want to re-train my own model - but grabbing the gigantic "stock" datasets, adding my images to it may take a VERY long time.
So the question is: is there a way to start with an existing model (XML file) and run the trainer in a way that would just _add_ my images to it?
