class_docstr: Denormalize the image
code: def __init__(self, mean, std):
      super(DeNormalize, self).__init__()
      self.mean = mx.nd.array(mean, ctx=mx.cpu(0))
      self.std = mx.nd.array(std, ctx=mx.cpu(0))
  
file_path: gluon-cv/gluoncv/utils/viz/segmentation.py
imports: from PIL import Image
  import mxnet
  from mxnet.gluon import HybridBlock
label_desc: Use image node_id 1 to create a new DeNormalize object from inherited base classes: HybridBlock with example: obj = DeNormalize(mean, std)