code: def __init__(
      self, xmin, ymin, xmax, ymax, objness=None, classes=None
  ):
      self.xmin = xmin
      self.ymin = ymin
      self.xmax = xmax
      self.ymax = ymax
      self.objness = objness
      self.classes = classes
      self.label = -1
      self.score = -1
  
imports: import os
  import re
  import numpy
  import json
  from imageai.Detection.Custom.voc import parse_voc_annotation
  from imageai.Detection.YOLO.yolov3 import yolov3_main, yolov3_train, dummy_loss
  from imageai.Detection.Custom.generator import BatchGenerator
  from imageai.Detection.Custom.utils.utils import normalize, evaluate, makedirs
  from tensorflow.keras.callbacks import ReduceLROnPlateau
  from tensorflow.keras.optimizers import Adam
  from imageai.Detection.Custom.callbacks import CustomModelCheckpoint
  from imageai.Detection.Custom.utils.multi_gpu_model import multi_gpu_model
  from imageai.Detection.Custom.gen_anchors import generateAnchors
  import tensorflow
  from tensorflow.keras.models import load_model
  from tensorflow.keras import Input
  from tensorflow.keras.callbacks import TensorBoard
  import tensorflow.keras.backend
  import cv2
label_desc: Use image node_id 1 to create a new BoundBox object  with example: obj = BoundBox(xmin, ymin, xmax, ymax, objness, classes)