class_docstr: Normalize the video clip by mean subtraction and division by standard deviation
  Args:
      mean (3-tuple): pixel RGB mean
      std (3-tuple): pixel RGB standard deviation
      inplace (boolean): whether do in-place normalization
class_docstr_tok: ["Normalize","the","video","clip","by","mean","subtraction","and","division","by","standard","deviation","Args",":","mean","(","3-tuple",")",":","pixel","RGB","mean","std","(","3-tuple",")",":","pixel","RGB","standard","deviation","inplace","(","boolean",")",":","whether","do","in-place","normalization"]
code: def __repr__(self) -> str:
      return f"{self.__class__.__name__}(mean={self.mean}, std={self.std}, inplace={self.inplace})"
  
imports: import numbers
  import random
  from torchvision.transforms import RandomCrop, RandomResizedCrop
  import lavis.processors.functional_video
label_desc: Use image node_id 3 for calling the NormalizeVideo obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str, self, str, self, str