About the train_fsns.py
@Bartzi Thanks for your good job
When I try to train the fsns according to readme, I find the loss are unusual, which shows as follows:
ps: my train dataset is the original fsns test ,val dataset is the original val
I do not change code ,so it trains in default ,and I have two gusses,one is the my configuration of the fsns dataset has error ,the final gt shows :
Is it right? And the other guess is that the lr is too big, as the number of iterations increases, the lr becomes larger .
I will go on training.
Looking forward to your reply
Hmm looks like your starting learning rate is too high. My guess is you tried to train with a learning rate of 1e-3 you should set it to 1e-4. It is totally normal that the printed learning rate increases this is because chainer calculates some crazy things for the Adam optimizer.
@Bartzi I will try, Thanks a lot!