class_docstr: Multi-size Segmentation Evaluator
class_docstr_tok: ["Multi-size","Segmentation","Evaluator"]
code: def collect_params(self):
      return self.evalmodule.collect_params()
  
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 5 for calling the MultiEvalModel obj's underlying member method code with example usage: obj.collect_params() and returns: self