Comments (4)
Hi, when training on Cityscapes, we use the following pipeline and cropping is not included:
transform = T.Compose(
T.ColorJitter(brightness=0.5, contrast=0.5, saturation=0.5, hue=0.5),
T.Resize(min_size, max_size),
T.RandomHorizontalFlip(flip_prob),
T.ToTensor(),
normalize_transform,
)
For you second question, we do not use ms inference strategy in testing.
from autopanoptic.
Thank you for you reply.
Maybe I did not represent my question clearly.
As it is known that a NAS framework consists of three parts, i.e., training a supernet, select the optimal model structure and training the selected optimal subnetwork.
My first question is what is the input resolution when you training the supernet on the Cityscapes dataset.
from autopanoptic.
You can find details here.
The resolution is (800, 1333).
from autopanoptic.
老哥稳。
from autopanoptic.
Related Issues (2)
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from autopanoptic.