class_docstr: Randomly change the brightness, contrast and saturation and hue of the clip
  
  Args:
  brightness (float): How much to jitter brightness. brightness_factor
  is chosen uniformly from [max(0, 1 - brightness), 1 + brightness].
  contrast (float): How much to jitter contrast. contrast_factor
  is chosen uniformly from [max(0, 1 - contrast), 1 + contrast].
  saturation (float): How much to jitter saturation. saturation_factor
  is chosen uniformly from [max(0, 1 - saturation), 1 + saturation].
  hue(float): How much to jitter hue. hue_factor is chosen uniformly from
  [-hue, hue]. Should be >=0 and <= 0.5.
class_docstr_tok: ["Randomly","change","the","brightness",",","contrast","and","saturation","and","hue","of","the","clip","Args",":","brightness","(","float",")",":","How","much","to","jitter","brightness",".","brightness_factor","is","chosen","uniformly","from","[","max","(","0",",","1","-","brightness",")",",","1","+","brightness","]",".","contrast","(","float",")",":","How","much","to","jitter","contrast",".","contrast_factor","is","chosen","uniformly","from","[","max","(","0",",","1","-","contrast",")",",","1","+","contrast","]",".","saturation","(","float",")",":","How","much","to","jitter","saturation",".","saturation_factor","is","chosen","uniformly","from","[","max","(","0",",","1","-","saturation",")",",","1","+","saturation","]",".","hue","(","float",")",":","How","much","to","jitter","hue",".","hue_factor","is","chosen","uniformly","from","[","-hue",",","hue","]",".","Should","be",">","=0","and","<","=","0.5","."]
code: def __init__(self, brightness=0, contrast=0, saturation=0, hue=0):
      self.brightness = brightness
      self.contrast = contrast
      self.saturation = saturation
      self.hue = hue
  
imports: import numbers
  import random
  import numpy
  import PIL
  import torch
  import torchvision
  from .None import functional
label_desc: Use image node_id 1 to create a new ColorJitter object from inherited base classes: object with example: obj = ColorJitter(brightness, contrast, saturation, hue)