code: def _threshold(image, thresh):
      mask = image < thresh
      result = np.copy(image)
      result[mask] = 0
      return result
  
imports: from __future__ import print_function, division, absolute_import
  import numpy
  import cv2
  from imgaug.imgaug import _normalize_cv2_input_arr_
  from .None import meta
  from .None import color
  from ..None import dtypes
  from ..None import parameters
label_desc: Use image node_id 5 for calling a global function with example usage: _threshold(image, thresh) and returns: result