code: def test_predict_points(self):
      fa = face_alignment.FaceAlignment(
          face_alignment.LandmarksType.THREE_D, device="cpu"
      )
      preds = fa.get_landmarks("test/assets/aflw-test.jpg")
      self.assertEqual(len(preds), len(self.reference_data))
      for pred, reference in zip(preds, self.reference_data):
          self.assertTrue(np.allclose(pred, reference))
  
file_path: face-alignment/test/facealignment_test.py
imports: import unittest
  import numpy
  import face_alignment
  import sys
  import torch
  from face_alignment.utils import get_image
label_desc: Use image node_id 2 for calling the Tester obj's underlying member method code with example usage: obj.test_predict_points() without return types