code: def amass_name_helper(name):
      name, frame = name.split("-")
      subject = name[:5]
      motion = name[6:]
      return subject, motion, frame
  
imports: from os import path
  import numpy
  from skimage import measure
  import tensorflow.compat.v1
  from tensorflow_graphics.projects.cvxnet.lib.libmise import mise
  from tensorflow_graphics.projects.nasa.lib import datasets
  from tensorflow_graphics.projects.nasa.lib import models
  import tensorflow_probability
  from tqdm import trange
  import trimesh
label_desc: Use image node_id 5 for calling a global function with example usage: amass_name_helper(name) and returns: subject,  motion,  frame