docstr: Add model predictions (accuracy)
          
docstr_tok: ["Add","model","predictions","(","accuracy",")"]
code: def track(self, model: model_interface.TrackerInterface, **kwargs):
      """Add model predictions (accuracy)"""
      super().track(model)
  
      outputs = self._convert(model.get_output())
      N = len(outputs) // 2
  
      self._acc = compute_accuracy(outputs[:N], outputs[N:])
  
imports: from typing import Dict, Any
  import torchnet
  import torch
  from .base_tracker import BaseTracker
  from .registration_metrics import compute_accuracy
  from .registration_metrics import compute_hit_ratio
  from .registration_metrics import compute_transfo_error
  from .registration_metrics import compute_scaled_registration_error
  from torch_points3d.models import model_interface
  from torch_points3d.utils.registration import estimate_transfo, fast_global_registration, get_matches
label_desc: Use image node_id 3 for calling the PatchRegistrationTracker obj's underlying member method code with example usage: obj.track(model) without return types