class_docstr: Randomly selects between transforms1 and transforms2,
  with probability p for transforms1 and (1 - p) for transforms2
class_docstr_tok: ["Randomly","selects","between","transforms1","and","transforms2",",","with","probability","p","for","transforms1","and","(","1","-","p",")","for","transforms2"]
code: def __init__(self, transforms1, transforms2, p=0.5):
      self.transforms1 = transforms1
      self.transforms2 = transforms2
      self.p = p
  
imports: import random
  import PIL
  import torch
  import torchvision.transforms
  import torchvision.transforms.functional
  from util.box_ops import box_xyxy_to_cxcywh
  from util.misc import interpolate
label_desc: Use image node_id 1 to create a new RandomSelect object from inherited base classes: object with example: obj = RandomSelect(transforms1, transforms2, p)