code: def reset(self, stage="train"):
      super().reset(stage=stage)
      self._confusion_matrix = ConfusionMatrix(self._num_classes)
      self._acc = 0
      self._macc = 0
      self._miou = 0
      self._iou_per_class = {}
  
file_path: torch-points3d/torch_points3d/metrics/segmentation_tracker.py
imports: from typing import Dict, Any
  import torch
  import wandb
  import numpy
  from torch_points3d.metrics.confusion_matrix import ConfusionMatrix
  from torch_points3d.metrics.base_tracker import BaseTracker, meter_value
  from torch_points3d.metrics.meters import APMeter
  from torch_points3d.datasets.segmentation import IGNORE_LABEL
  from torch_points3d.models import model_interface
label_desc: Use image node_id 2 for calling the SegmentationTracker obj's underlying member method code with example usage: obj.reset(stage) without return types