code: def get_bisenet(
      num_classes=1, backbone="resnet18", pretrained=True, **kwargs
  ):
      model = BiSeNet(
          num_classes=num_classes,
          backbone=backbone,
          pretrained=pretrained,
          **kwargs,
      )
      return model
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from pywick.models.segmentation.da_basenets.resnet import resnet18
label_desc: Use image node_id 1 for calling a global function with example usage: get_bisenet(num_classes, backbone, pretrained) and returns: model