Normalize#

class Normalize(mean=0.0, std=1.0, *, order=None)[source]#

Normalize the input data with mean and standard deviation. Given mean: (M1,...,Mn) and std: (S1,..,Sn) for n channels, this transform will normalize each channel of the input data. output[channel] = (input[channel] - mean[channel]) / std[channel]

Parameters:
  • mean – sequence of means for each channel.

  • std – sequence of standard deviations for each channel.

  • order – the same with VisionTransform.