code: def vec_from_eye(eye, iris_lms_idx):
      p_iris = eye[iris_lms_idx] - eye[:32].mean(axis=0)
      vec = p_iris.mean(axis=0)
      vec /= np.linalg.norm(vec, axis=0)
      return vec
  
imports: from models import GazeModel
  import sys
  import glob
  import torch
  import os
  import os.path
  import numpy
  import cv2
  import os.path
  import insightface
  from insightface.app import FaceAnalysis
  from insightface.utils import face_align
  import menpo.io
  from menpo.image import Image
  from menpo.shape import PointCloud, TriMesh
label_desc: Use image node_id 2 for calling a global function with example usage: vec_from_eye(eye, iris_lms_idx) and returns: vec