class_docstr: 对图像颜色信息进行随机调整,该方法应放在ToTensor前
class_docstr_tok: ["\u5bf9\u56fe\u50cf\u989c\u8272\u4fe1\u606f\u8fdb\u884c\u968f\u673a\u8c03\u6574",",","\u8be5\u65b9\u6cd5\u5e94\u653e\u5728ToTensor\u524d"]
code: def __init__(
      self, brightness=0.125, contrast=0.5, saturation=0.5, hue=0.05
  ):
      self.trans = t.ColorJitter(brightness, contrast, saturation, hue)
  
imports: import random
  import torch
  import torchvision.transforms
  from torchvision.transforms import functional
  from src import dboxes300_coco, calc_iou_tensor, Encoder
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)