code: def get_metrics(self, verbose=False) -> Dict[str, Any]:
      metrics = {}
      for key, loss_meter in self._loss_meters.items():
          value = meter_value(loss_meter, dim=0)
          if value:
              metrics[key] = meter_value(loss_meter, dim=0)
      return metrics
  
imports: import os
  import torchnet
  import torch
  from typing import Dict, Any
  import wandb
  from torch.utils.tensorboard import SummaryWriter
  import logging
  from torch_points3d.models import model_interface
label_desc: Use image node_id 3 for calling the BaseTracker obj's underlying member method code with example usage: obj.get_metrics(verbose) and returns: metrics