class_docstr: DeeplabV2 Resnet implementation with FOV.
code: def __init__(self, num_classes, pretrained=True, **kwargs):
      super(DeepLabv2_FOV, self).__init__()
      block = Atrous_Bottleneck
      self.resnet_features = Atrous_ResNet_features(
          block, [3, 4, 23, 3], pretrained
      )
  
      self.atrous = Atrous_module(2048, num_classes, rate=12)
  
imports: import math
  import torch.nn
  import torch.nn.functional
  import torchvision.models
label_desc: Use image node_id 1 to create a new DeepLabv2_FOV object from inherited base classes: nn with example: obj = DeepLabv2_FOV(num_classes, pretrained)