class_docstr: Segmentation Eval Module
class_docstr_tok: ["Segmentation","Eval","Module"]
code: def __init__(self, module, use_predict=False):
      self.module = module
      self.use_predict = use_predict
  
imports: import math
  import warnings
  import numpy
  import mxnet
  from mxnet.ndarray import NDArray
  from mxnet.gluon.nn import HybridBlock
  from ..utils.parallel import parallel_apply
  from .resnetv1b import resnet18_v1b, resnet34_v1b, resnet50_v1s, resnet101_v1s, resnet152_v1s
  from .resnest import resnest50, resnest101, resnest200, resnest269
  from ..utils.parallel import tuple_map
label_desc: Use image node_id 1 to create a new SegEvalModel object from inherited base classes: object with example: obj = SegEvalModel(module, use_predict)