Normalize

class torchaug.transforms.Normalize(mean, std, inplace=False)

Normalize a tensor image or video with mean and standard deviation.

Given mean: (mean[1],...,mean[n]) and std: (std[1],..,std[n]) for n channels, this transform will normalize each channel of the input torch.*Tensor i.e., output[channel] = (input[channel] - mean[channel]) / std[channel]

Note

This transform acts out of place, i.e., it does not mutate the input tensor.

Parameters:

• mean (Sequence[float]) – Sequence of means for each channel.

• std (Sequence[float]) – Sequence of standard deviations for each channel.

• inplace (bool, optional) – whether to apply the transform in-place. Default: False