code: def __init__(self, in_chan: int, mid_chan: int, n_classes: int):
      super(SegHead, self).__init__()
      self.conv = layers.ConvBNReLU(
          in_chan, mid_chan, kernel_size=3, stride=1, padding=1
      )
      self.conv_out = nn.Conv2D(
          mid_chan, n_classes, kernel_size=1, bias_attr=None
      )
  
imports: import os
  from typing import Union, List, Tuple
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddlehub.module.module import moduleinfo
  import paddlehub.vision.segmentation_transforms
  from paddlehub.module.cv_module import ImageSegmentationModule
  from stdc1_seg_voc.stdcnet import STDC1
  import stdc1_seg_voc.layers
label_desc: Use image node_id 1 to create a new SegHead object from inherited base classes: nn with example: obj = SegHead(in_chan, mid_chan, n_classes)