class_docstr: 组合多个transform函数
class_docstr_tok: ["\u7ec4\u5408\u591a\u4e2atransform\u51fd\u6570"]
code: def __init__(self, transforms):
      self.transforms = transforms
  
file_path: deep-learning-for-image-processing/pytorch_object_detection/faster_rcnn/transforms.py
imports: import random
  from torchvision.transforms import functional
label_desc: Use image node_id 1 to create a new Compose object from inherited base classes: object with example: obj = Compose(transforms)