docstr: Factory method for the tracker
  
  Arguments:
      wandb_log - Log using weight and biases
  Returns:
      [BaseTracker] -- tracker
docstr_tok: ["Factory","method","for","the","tracker","Arguments",":","wandb_log","-","Log","using","weight","and","biases","Returns",":","[","BaseTracker","]","--","tracker"]
code: def get_tracker(self, wandb_log: bool, tensorboard_log: bool):
      """Factory method for the tracker
  
      Arguments:
          wandb_log - Log using weight and biases
      Returns:
          [BaseTracker] -- tracker
      """
      return ObjectDetectionTracker(
          self, wandb_log=wandb_log, use_tensorboard=tensorboard_log
      )
  
imports: import os
  import numpy
  import torch
  import logging
  from torch_geometric.data import InMemoryDataset
  from torch_points3d.datasets.segmentation.scannet import Scannet, NUM_CLASSES, IGNORE_LABEL
  from torch_points3d.metrics.object_detection_tracker import ObjectDetectionTracker
  from torch_points3d.datasets.base_dataset import BaseDataset, save_used_properties
  from torch_points3d.utils.box_utils import box_corners_from_param
label_desc: Use image node_id 6 for calling the ScannetDataset obj's underlying member method code with example usage: obj.get_tracker(wandb_log, tensorboard_log) and returns: ObjectDetectionTracker