Fine-tuning the proposal_net for a new video about premvos

[JonathonLuiten]

All the code for performing fine tuning the proposal net is here in the repo. Specifically finetuning can be called using the right parameters of train.py. However it is a little hard to figure out exactly what parameters are needed.

Looking at some old code, I think this should work:
train.py --logdir SOMETHING --agnostic --second_head --resume --davis --forward_dataset DAVIS --load SOMETHING--davis_name SOMETHING
with the SOMETHINGs being replaced with what you want to do.

Also here is a very old, very badly coded script I used at some point in early 2018. No guarantee that this works out of the box, but should point you in the right direction.

mask.zip

[hejm37]

Thanks for your pointer!