class_docstr: Computes pixAcc and mIoU metric scores
      
class_docstr_tok: ["Computes","pixAcc","and","mIoU","metric","scores"]
docstr: Gets the current evaluation result.
  
  Returns
  -------
  metrics : tuple of float
      pixAcc and mIoU
docstr_tok: ["Gets","the","current","evaluation","result",".","Returns","--","--","--","-","metrics",":","tuple","of","float","pixAcc","and","mIoU"]
code: def get(self):
      """Gets the current evaluation result.
  
      Returns
      -------
      metrics : tuple of float
          pixAcc and mIoU
      """
      pixAcc = (
          1.0 * self.total_correct / (np.spacing(1) + self.total_label)
      )
      IoU = 1.0 * self.total_inter / (np.spacing(1) + self.total_union)
      mIoU = IoU.mean()
      return pixAcc, mIoU
  
file_path: gluon-cv/gluoncv/utils/metrics/segmentation.py
imports: import threading
  import numpy
  import mxnet
label_desc: Use image node_id 3 for calling the SegmentationMetric obj's underlying member method code with example usage: obj.get() and returns: pixAcc,  mIoU