class_docstr: Random JPEG noise. 
class_docstr_tok: ["Random","JPEG","noise","."]
docstr: Args:
      quality_range (tuple): range to sample JPEG quality
docstr_tok: ["Args",":","quality_range","(","tuple",")",":","range","to","sample","JPEG","quality"]
code: def __init__(self, quality_range=(40, 100)):
      """
      Args:
          quality_range (tuple): range to sample JPEG quality
      """
      super(JpegNoise, self).__init__()
      self._init(locals())
  
file_path: tensorpack/tensorpack/dataflow/imgaug/noise.py
imports: import numpy
  import cv2
  from .base import PhotometricAugmentor
label_desc: Use image node_id 1 to create a new JpegNoise object from inherited base classes: PhotometricAugmentor with example: obj = JpegNoise(quality_range)