code: def _merge_semantic_and_instance(
      self, sem_seg, ins_seg, semantic_thing_seg
  ):
      # In case thing mask does not align with semantic prediction.
      pan_seg = paddle.zeros_like(sem_seg)
      is_thing = (ins_seg > 0) & (semantic_thing_seg > 0)
  
      # Keep track of instance id for each class.
      class_id_tracker = Counter()
  
      # Paste thing by majority voting.
      instance_ids = paddle.unique(ins_seg)
      instance_ids = instance_ids[instance_ids != 0]
      for ins_id in instance_ids:
          # Make sure only do majority voting within `semantic_thing_seg`.
          thing_mask = (ins_seg == ins_id) & is_thing
          if paddle.nonzero(thing_mask).shape[0] != 0:
              class_id, _ = paddle.mode(sem_seg[thing_mask].flatten())
              class_id = int(class_id)
              class_id_tracker[class_id] += 1
              new_ins_id = class_id_tracker[class_id]
              pan_seg[thing_mask] = paddle.full(
                  [1],
                  encode_pan_id(
                      class_id, self.label_divisor, ins_id=new_ins_id
                  ),
                  dtype="int64",
              )
  
      # Paste stuff to unoccupied area.
      class_ids = paddle.unique(sem_seg)
      for id_ in self.thing_ids:
          if class_ids.shape[0] != 0:
              class_ids = class_ids[class_ids != id_]
      for class_id in class_ids:
          class_id = int(class_id)
          # Calculate stuff area.
          stuff_mask = (sem_seg == class_id) & (ins_seg == 0)
          if stuff_mask.sum() >= self.stuff_area:
              pan_seg[stuff_mask] = paddle.full(
                  [1],
                  encode_pan_id(class_id, self.label_divisor),
                  dtype="int64",
              )
  
      return pan_seg
  
file_path: PaddleSeg/contrib/PanopticSeg/paddlepanseg/postprocessors/panoptic_deeplab_pp.py
imports: from collections import Counter
  import paddle
  import paddle.nn.functional
  from paddlepanseg.cvlibs import build_info_dict, manager
  from paddlepanseg.utils import encode_pan_id
  from paddlepanseg.postprocessors.base_pp import Postprocessor
label_desc: Use image node_id 6 for calling the PanopticDeepLabPostprocessor obj's underlying member method code with example usage: obj._merge_semantic_and_instance(sem_seg, ins_seg, semantic_thing_seg) and returns: pan_seg