class_docstr: Denormalize the image
code: def hybrid_forward(self, F, x):
      return x * self.std.reshape(shape=(3, 1, 1)) + self.mean.reshape(
          shape=(3, 1, 1)
      )
  
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 2 for calling the DeNormalize obj's underlying member method code with example usage: obj.hybrid_forward(F, x) and returns: unknown