Robust-Semantic-Segmentation
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Default Training Config
Hi,
First, thanks for your excellent work. I am a master student major in CS who is now working on adversarial training. I would like to ask whether your provided config is able to reach the comparable result as your paper report.
Specifically,
- In ./config/cityscapes/cityscapes_aspp.yaml, is it reasonable to set
test_h = 449, test_w = 449
while testing? - In your README, you stated that "For multiprocessing training, we use apex, tested with pytorch 1.0.1.". However, it seems that your config set
opt_level: 'O0'
and does not use float16 during training.
I would be very grateful if you could provide me any suggestions or further explanation. Thank you very much.
Best, Tsung-Han Wu.