class_docstr: Default SSD training transform which includes tons of image augmentations.
  
  Parameters
  ----------
  width : int
      Image width.
  height : int
      Image height.
  num_class : int
      Number of categories
  scale_factor : int, default is 4
      The downsampling scale factor between input image and output heatmap
  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].
class_docstr_tok: ["Default","SSD","training","transform","which","includes","tons","of","image","augmentations",".","Parameters","--","--","--","--","--","width",":","int","Image","width",".","height",":","int","Image","height",".","num_class",":","int","Number","of","categories","scale_factor",":","int",",","default","is","4","The","downsampling","scale","factor","between","input","image","and","output","heatmap","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 _target_generator(self):
      if self._internal_target_generator is None:
          from ....model_zoo.center_net.target_generator import (
              CenterNetTargetGenerator,
          )
  
          self._internal_target_generator = CenterNetTargetGenerator(
              self._num_class, self._target_width, self._target_height
          )
          return self._internal_target_generator
      else:
          return self._internal_target_generator
  
file_path: gluon-cv/gluoncv/data/transforms/presets/center_net.py
imports: from __future__ import absolute_import
  import numpy
  import mxnet
  from ..None import bbox
  from ..None import image
  from ..None import experimental
  from ....utils.filesystem import try_import_cv2
label_desc: Use image node_id 2 for calling the CenterNetDefaultTrainTransform obj's underlying member method code with example usage: obj._target_generator() and returns: self, self