class_docstr: Generate Gaussian weighted deformation map
class_docstr_tok: ["Generate","Gaussian","weighted","deformation","map"]
code: def __init__(self, image_shape, sigma=0.5):
      assert len(image_shape) == 2
      self.shape = image_shape
      self.sigma = sigma
  
file_path: tensorpack/tensorpack/dataflow/imgaug/deform.py
imports: import numpy
  from ...utils import logger
  from .base import ImageAugmentor
  from .transform import TransformFactory
label_desc: Use image node_id 1 to create a new GaussianMap object from inherited base classes: object with example: obj = GaussianMap(image_shape, sigma)