code: def __init__(self, image_paths, bounding_boxes, augmentations=None):
      self.image_paths = image_paths
      self.bounding_boxes = bounding_boxes
      self.augmentations = augmentations
  
imports: import argparse
  import ast
  import os
  import albumentations
  import numpy
  import pandas
  import timm
  import torch
  import torch.nn
  import torchvision
  from effdet import DetBenchTrain, EfficientDet, get_efficientdet_config
  from effdet.config.model_config import efficientdet_model_param_dict
  from effdet.efficientdet import HeadNet
  from PIL import Image, ImageFile
  from sklearn.model_selection import train_test_split
  from torchvision.models.detection.faster_rcnn import FastRCNNPredictor
  from tez import Tez, TezConfig
label_desc: Use image node_id 1 to create a new WheatDataset object  with example: obj = WheatDataset(image_paths, bounding_boxes, augmentations)