code: def get_coord_features(self, image, prev_mask, points):
      coord_features = self.dist_maps(
          image, points
      )  #  [16, 1, 512, 512, 12], [16, 48, 4]. # [B, 2, H, W, D]
  
      if prev_mask is not None:
          coord_features = paddle.concat(
              (prev_mask, coord_features), axis=1
          )  # [B, 3, H, W, D]
  
      return coord_features
  
imports: import os
  import sys
  import paddle
  import paddle.nn
  import numpy
  from inference.ops import DistMaps3D, ScaleLayer, BatchImageNormalize3D
  from paddleseg.utils import utils
label_desc: Use image node_id 5 for calling the ISModel3D obj's underlying member method code with example usage: obj.get_coord_features(image, prev_mask, points) and returns: coord_features