class_docstr: Base Model for Semantic Segmentation
  
  Parameters
  ----------
  backbone : string
      Pre-trained dilated backbone network type (default:'resnet50'; 'resnet50',
      'resnet101' or 'resnet152').
docstr: evaluating network with inputs and targets
docstr_tok: ["evaluating","network","with","inputs","and","targets"]
code: def evaluate(self, x):
      """evaluating network with inputs and targets"""
      return self.forward(x)[0]
  
imports: import torch.nn
  from pywick.models.segmentation.da_basenets.resnetv1b import resnet50_v1s, resnet101_v1s, resnet152_v1s
label_desc: Use image node_id 3 for calling the SegBaseModel obj's underlying member method code with example usage: obj.evaluate(x) and returns: self