Understanding AugMix() In PyTorch For Image Data Transformation
AugMix() explained: no args & full arg, severity (2), mixture_width (1&2) and examples with OxfordIIITPet dataset.
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*Memos:
My post explains AugMix() about no arguments and full argument.
My post explains AugMix() about severity argument (2).
My post explains AugMix() about mixture_width argument (1).
My post explains AugMix() about mixture_width argument (2).
AugMix() can randomly do AugMix to an image as shown below. *It's about severity argument (1):
from torchvision.datasets import OxfordIIITPet
from torchvision.transforms.v2 import AugMix
from torchvision.transforms.functional import InterpolationMode
origin_data = OxfordIIITPet(
root="data",
transform=None
)
s1_data = Oxfo...