SSD300 needs to be wrapped

[vatai]

do_pytorch.py calls loss = model(data, target) (not out = model(data); loss = criterion(out, target) ). This is made possible using the stuff in helpers_pytorch.py which wrap the "raw" pytorch model, into something that does specific to the problem (i.e. applies the right loss).

This is not done for SSD300...