code: def __init__(
      self,
      image_paths,
      bounding_boxes,
      classes=None,
      augmentations=None,
      torchvision_format=True,
  ):
      self.image_paths = image_paths
      self.bounding_boxes = bounding_boxes
      self.augmentations = augmentations
      self.torchvision_format = torchvision_format
      self.classes = classes
  
file_path: tez/tez/datasets/image_segmentation.py
imports: import cv2
  import numpy
  import torch
  from PIL import ImageFile
label_desc: Use image node_id 1 to create a new RCNNDataset object  with example: obj = RCNNDataset(image_paths, bounding_boxes, classes, augmentations, torchvision_format)