implementing mask-r-cnn with tensorflow-distributed

Question

I'm training a mask-r-cnn network , which is built on tensorflow and keras. I'm searching for a way to reduce training time, so I thought implementing it with tensorflow-distributed.

I've been working with mask-r-cnn for some time, but it seems what I'm trying to do will require me to modify the source code of mask-r-cnn, which is above my current skills.

So, my question is, has someone ever done it, or something similar? is it possible at all, or am I misunderstand the use of tensorflow-distributed.

Thanks ahead.

Answer 1

Even without distributed training, the tensorpack implementation of Mask R-CNN in tensorflow runs 5x faster (and more accurate as well) than the one you linked to.

It also supports distributed training with MPI.