class_docstr: Add random Gaussian noise N(0, sigma^2) of the same shape to img.
class_docstr_tok: ["Add","random","Gaussian","noise","N","(","0",",","sigma^2",")","of","the","same","shape","to","img","."]
code: def _get_augment_params(self, img):
      return self.rng.randn(*img.shape)
  
file_path: tensorpack/tensorpack/dataflow/imgaug/noise.py
imports: import numpy
  import cv2
  from .base import PhotometricAugmentor
label_desc: Use image node_id 2 for calling the GaussianNoise obj's underlying member method code with example usage: obj._get_augment_params(img) and returns: self