code: def get_coord_features(self, image, prev_mask, points):
      coord_features = self.dist_maps(image, points)
  
      if prev_mask is not None:
          coord_features = paddle.concat(
              (prev_mask, coord_features), axis=1
          )
  
      return coord_features
  
imports: import paddle
  import paddle.nn.functional
  import numpy
  from inference.transforms import AddHorizontalFlip, SigmoidForPred, LimitLongestSide
  from .ops import DistMaps, ScaleLayer, BatchImageNormalize
label_desc: Use image node_id 6 for calling the BasePredictor obj's underlying member method code with example usage: obj.get_coord_features(image, prev_mask, points) and returns: coord_features