docstr: Crop image and label
  
  :param keys: The ``keys`` parameter will be used to get and set the actual data item to transform
docstr_tok: ["Crop","image","and","label",":","param","keys",":","The","``","keys","``","parameter","will","be","used","to","get","and","set","the","actual","data","item","to","transform"]
code: def __init__(
      self, keys: KeysCollection, allow_missing_keys: bool = False
  ):
      """
      Crop image and label
  
      :param keys: The ``keys`` parameter will be used to get and set the actual data item to transform
  
      """
      super().__init__(keys, allow_missing_keys)
  
imports: import copy
  import logging
  from typing import Dict, Hashable, Mapping
  import numpy
  import torch
  from monai.config import KeysCollection, NdarrayOrTensor
  from monai.transforms import CropForeground, GaussianSmooth, Randomizable, Resize, ScaleIntensity, SpatialCrop
  from monai.transforms.transform import MapTransform, Transform
label_desc: Use image node_id 1 to create a new SelectVertebraAndCroppingd object from inherited base classes: Randomizable, MapTransform with example: obj = SelectVertebraAndCroppingd(keys, allow_missing_keys)