class_docstr: Apply Equalize transformation to image. The bboxes, masks and
  segmentations are not modified.
  
  Args:
      prob (float): The probability for performing Equalize transformation.
class_docstr_tok: ["Apply","Equalize","transformation","to","image",".","The","bboxes",",","masks","and","segmentations","are","not","modified",".","Args",":","prob","(","float",")",":","The","probability","for","performing","Equalize","transformation","."]
code: def __repr__(self):
      repr_str = self.__class__.__name__
      repr_str += f"(prob={self.prob})"
  
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 EqualizeTransform obj's underlying member method code with example usage: obj.__repr__() without return types