class_docstr: Jitter on the rgb attribute of data
  
  Parameters
  ----------
  std :
      standard deviation of the Jitter
class_docstr_tok: ["Jitter","on","the","rgb","attribute","of","data","Parameters","--","--","--","--","--","std",":","standard","deviation","of","the","Jitter"]
code: def __call__(self, data):
      assert hasattr(data, "rgb")
      assert data.rgb.max() <= 1 and data.rgb.min() >= 0
      if random.random() < 0.95:
          noise = torch.randn(data.rgb.shape[0], 3)
          noise *= self.std
          data.rgb = torch.clamp(noise + data.rgb, 0, 1)
      return data
  
imports: import random
  import torch
label_desc: Use image node_id 2 for calling the ChromaticJitter obj's underlying member method code with example usage: obj.__call__(data) and returns: data