docstr: Add current model predictions (usually the result of a batch) to the tracking
          
docstr_tok: ["Add","current","model","predictions","(","usually","the","result","of","a","batch",")","to","the","tracking"]
code: def track(self, model: model_interface.TrackerInterface, **kwargs):
      """Add current model predictions (usually the result of a batch) to the tracking"""
      super().track(model)
  
      outputs = model.get_output()
      targets = model.get_labels().flatten()
  
      self._acc.add(100 * self.compute_acc(outputs, targets))
  
file_path: torch-points3d/torch_points3d/metrics/classification_tracker.py
imports: from typing import Dict, Any
  import torch
  import torchnet
  from torch_points3d.metrics.confusion_matrix import ConfusionMatrix
  from torch_points3d.metrics.base_tracker import BaseTracker, meter_value
  from torch_points3d.models import model_interface
label_desc: Use image node_id 5 for calling the ClassificationTracker obj's underlying member method code with example usage: obj.track(model) without return types