class_docstr: Borrow standard augmenter from image classification.
  Which is good once you know label won't be affected after this augmenter.
  
  Parameters
  ----------
  augmenter : mx.image.Augmenter
      The borrowed standard augmenter which has no effect on label
class_docstr_tok: ["Borrow","standard","augmenter","from","image","classification",".","Which","is","good","once","you","know","label","wo","n't","be","affected","after","this","augmenter",".","Parameters","--","--","--","--","--","augmenter",":","mx.image.Augmenter","The","borrowed","standard","augmenter","which","has","no","effect","on","label"]
docstr: Augmenter implementation body
docstr_tok: ["Augmenter","implementation","body"]
code: def __call__(self, src, label):
      """Augmenter implementation body"""
      src = self.augmenter(src)
      return (src, label)
  
imports: import json
  import logging
  import random
  import warnings
  import numpy
  from ..base import numeric_types
  from ..None import ndarray
  from ..ndarray._internal import _cvcopyMakeBorder
  from ..None import io
  from .image import RandomOrderAug, ColorJitterAug, LightingAug, ColorNormalizeAug
  from .image import ResizeAug, ForceResizeAug, CastAug, HueJitterAug, RandomGrayAug
  from .image import fixed_crop, ImageIter, Augmenter
  from ..util import is_np_array
  from ..None import numpy
label_desc: Use image node_id 3 for calling the DetBorrowAug obj's underlying member method code with example usage: obj.__call__(src, label) and returns: src,  label