class_docstr: Apply Color transformation to image. The bboxes, masks, and
  segmentations are not modified.
  
  Args:
      level (int | float): Should be in range [0,_MAX_LEVEL].
      prob (float): The probability for performing Color transformation.
class_docstr_tok: ["Apply","Color","transformation","to","image",".","The","bboxes",",","masks",",","and","segmentations","are","not","modified",".","Args",":","level","(","int","|","float",")",":","Should","be","in","range","[","0",",","_MAX_LEVEL","]",".","prob","(","float",")",":","The","probability","for","performing","Color","transformation","."]
code: def __repr__(self):
      repr_str = self.__class__.__name__
      repr_str += f"(level={self.level}, "
      repr_str += f"prob={self.prob})"
      return repr_str
  
imports: import copy
  import cv2
  import mmcv
  import numpy
  from ..builder import PIPELINES
  from .compose import Compose
label_desc: Use image node_id 4 for calling the ColorTransform obj's underlying member method code with example usage: obj.__repr__() and returns: repr_str