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]

transform_normalize(img, mean, std, inplace = FALSE)

Arguments

img

A magick-image, array or torch_tensor.

mean

(sequence): Sequence of means for each channel.

std

(sequence): Sequence of standard deviations for each channel.

inplace

(bool,optional): Bool to make this operation in-place.

Note

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

See also