code: def get_ocnet(
      num_classes=1,
      backbone="resnet50",
      oc_arch="base",
      pretrained=True,
      **kwargs,
  ):
      model = OCNet(
          num_classes=num_classes,
          backbone=backbone,
          oc_arch=oc_arch,
          pretrained=pretrained,
          **kwargs,
      )
      return model
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from pywick.models.segmentation.da_basenets.segbase import SegBaseModel
  from pywick.models.segmentation.da_basenets.fcn import _FCNHead
label_desc: Use image node_id 1 for calling a global function with example usage: get_ocnet(num_classes, backbone, oc_arch, pretrained) and returns: model