class_docstr: Default SSD validation transform.
  
  Parameters
  ----------
  width : int
      Image width.
  height : int
      Image height.
  mean : array-like of size 3
      Mean pixel values to be subtracted from image tensor. Default is [0.485, 0.456, 0.406].
  std : array-like of size 3
      Standard deviation to be divided from image. Default is [0.229, 0.224, 0.225].
code: def __init__(
      self,
      width,
      height,
      mean=(0.485, 0.456, 0.406),
      std=(0.229, 0.224, 0.225),
  ):
      self._width = width
      self._height = height
      self._mean = mean
      self._std = std
  
imports: from __future__ import absolute_import
  import numpy
  import mxnet
  from ..None import bbox
  from ..None import image
  from ..None import experimental
  from ....utils import try_import_dali
label_desc: Use image node_id 1 to create a new SSDDefaultValTransform object from inherited base classes: object with example: obj = SSDDefaultValTransform(width, height, mean, std)