class_docstr: Gaussian blur the image with random window size
class_docstr_tok: ["Gaussian","blur","the","image","with","random","window","size"]
code: def _get_augment_params(self, _):
      size_xy = (
          self.rng.randint(
              self.size_range[0], self.size_range[1], size=(2,)
          )
          * 2
          + 1
      )
      sigma_xy = self._rand_range(*self.sigma_range, size=(2,))
      if self.symmetric:
          size_xy[1] = size_xy[0]
          sigma_xy[1] = sigma_xy[0]
      return tuple(size_xy), tuple(sigma_xy)
  
imports: import numpy
  import cv2
  from ...utils.develop import log_deprecated
  from .base import PhotometricAugmentor
label_desc: Use image node_id 2 for calling the GaussianBlur obj's underlying member method code with example usage: obj._get_augment_params(_) and returns: tuple,  tuple