code: def get_gaussian_heatmap(size=512, distanceRatio=3.34):
      v = np.abs(np.linspace(-size / 2, size / 2, num=size))
      x, y = np.meshgrid(v, v)
      g = np.sqrt(x**2 + y**2)
      g *= distanceRatio / (size / 2)
      g = np.exp(-(1 / 2) * (g**2))
      g *= 255
      return g.clip(0, 255).astype("uint8")
  
imports: import typing
  import cv2
  import numpy
  import tensorflow
  import efficientnet.tfkeras
  from tensorflow import keras
  from .None import tools
label_desc: Use image node_id 3 for calling a global function with example usage: get_gaussian_heatmap(size, distanceRatio) and returns: g