About the training of AdaptSegNet(GTA5 -> Cityscapes) and usage of Synscpaes

[LinfengYuan1997]

Thanks for your fantastic sharing code!

I have 2 questions about your code:

1. Recently I tried to train your code AdaptSegNet(GTA5 -> Cityscpaes multi ResNet) via PyTorch 1.4.

The only modifications I made are the argument 'align_corners = True' in nn.Upsample() and small bugs while recording and printing the loss using PyTorch1.x.

And I have trained the model in 120K iterations but only got the highest mIOU on Cityscapes about 40.x% at 40K iteration.

I am wondering thether it is normal because GAN is unstable, or there are some problems during my training.

And here are some warnings when runnig the training code:

Is there any problem about the optimizer?

2. I plan to use Synscapes to train and validation the UDA of segmentation. I am wondering your setting while using the Synscapes (the train val splits and any hyperparameters tuning while training)

Looking forward to your reply~

[LinfengYuan1997]

Maybe all the Synscapes pics will be entered for training because we don't use them while validating on Cityscapes?

Any hyperparameters tuning by the way?