code: def get_instance_segmentation(
      semantic,
      ctr_hmp,
      offset,
      thing_list,
      threshold=0.1,
      nms_kernel=3,
      top_k=None,
  ):
      """
      Post-processing for instance segmentation, gets class agnostic instance id map.
  
      Args:
          semantic (Tensor): A Tensor of shape [1, H, W], predicted semantic label.
          ctr_hmp (Tensor): A Tensor of shape [1, H, W] of raw center heatmap output, where N is the batch size,
              for consistent, we only support N=1.
          offsets (Tensor): A Tensor of shape [2, H, W] of raw offset output, where N is the batch size,
              for consistent, we only support N=1. The order of second dim is (offset_y, offset_x).
          thing_list (list): A List of thing class id.
          threshold (float, optional): A Float, threshold applied to center heatmap score. Default: 0.1.
          nms_kernel (int, optional): An Integer, NMS max pooling kernel size. Default: 3.
          top_k (int, optional): An Integer, top k centers to keep. Default: None.
  
      Returns:
          Tensor: Instance segmentation results which shape is [1, H, W].
          Tensor: A Tensor of shape [1, K, 2] where K is the number of center points. The order of second dim is (y, x).
      """
      thing_seg = paddle.zeros_like(semantic)
      for thing_class in thing_list:
          thing_seg = thing_seg + (semantic == thing_class).astype(
              "int64"
          )
      thing_seg = (thing_seg > 0).astype("int64")
      center = find_instance_center(
          ctr_hmp,
          threshold=threshold,
          nms_kernel=nms_kernel,
          top_k=top_k,
      )
      if center is None:
          return paddle.zeros_like(semantic), center
      ins_seg = group_pixels(center, offset)
      return thing_seg * ins_seg, center.unsqueeze(0)
  
file_path: PaddleSeg/contrib/PanopticDeepLab/core/infer.py
imports: import collections.abc
  from itertools import combinations
  from functools import partial
  import numpy
  import paddle
  import paddle.nn.functional
label_desc: Use image node_id 5 for calling a global function with example usage: get_instance_segmentation(semantic, ctr_hmp, offset, thing_list, threshold, nms_kernel, top_k) and returns: unknown,  center, paddle,  center