Hi Andri!



 AndriPi:

I have some experience with fastai, and quite a bit of experience with Keras and Tensorflow


At a general conceptual level, pytorch and kera/tensorflow do pretty
much the same thing, so that’s a big part of what you need to learn
and understand.  There are, however, significant differences in the
architecture and the details of implementation.
You could just jump into the deep end with Mask-RCNN, and work
through the documentation and ask questions here when issues arise.
If you like tutorials, you could work though pytorch’s A 60 Minute Blitz 5
tutorial (and other tutorials and introductory documentation).  Whether
or not you follow a tutorial, I would suggest that you build and train a
simple toy-problem network in pytorch – just to get a feel for the
pytorch way of doing things – before jumping straight to your real
Mask-RCNN use case.
Best.
K. Frank