code: def __init__(self, metrics, prefix=""):
      self.metrics = metrics
      self.helper = None
      self.prefix = prefix
  
imports: import torch
  from .utils import th_matrixcorr
  from .meters.averagemeter import AverageMeter
  from .callbacks import Callback
  from .losses import lovaszloss, hingeloss, dice_coeff
label_desc: Use image node_id 1 to create a new MetricContainer object  with example: obj = MetricContainer(metrics, prefix)