Is an eigen recognition model picklable?
Question: I have a python-based face recognition script running several processes
(threads?) all doing different things. I am attempting to use one of these to
re-train the model once the training images have been changed/updated.

I have tried sending the model through the python pipe function:

    
    
    pipe.send(model)
    

I am not hit with any exceptions, it just hangs there indefinitely.

I fear that either the model is either unpicklable, or simply just too big!


Answer: `multiprocessing` uses `pickle` (or `cPickle`, depending on the version). Have
you tried checking like this?

    
    
    >>> import pickle
    >>> pik = pickle.dumps(model)
    >>> _model = pickle.loads(pik)
    

If that succeeds, it's serializable by `pickle`. If it's not, you might try
using a more powerful serializer, and a fork of `multiprocessing` that
utilizes said better serializer (i.e. `dill` and `pathos.multiprocessing`).

