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from light_training.preprocessing.normalization.default_normalization_schemes import CTNormalization, CTNormStandard
## need to custom, this example is about Segrap competition.
def norm_func(data, seg=None, **kwargs):
normalizer = CTNormStandard(a_min=-175,
a_max=250,
b_min=0.0,
b_max=1.0, clip=True)
data = normalizer(data)
return data
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