code: def test_should_annotate(self):
      from PIL import Image
  
      img = Image.open(
          f"{EvaDB_ROOT_DIR}/test/data/uadetrac/small-data/MVI_20011/img00001.jpg"
      )
      arr = asarray(img)
      arr_copy = 0 + arr
      object_type = np.array(["object"])
      bbox = np.array([[50, 50, 70, 70]])
      df = pd.DataFrame([[arr, object_type, bbox]])
      modified_arr = self.annotate_instance(df)["annotated_frame_array"]
  
      self.assertNotEqual(np.sum(arr_copy - modified_arr[0]), 0)
      self.assertEqual(
          np.sum(modified_arr[0][50][50] - np.array([207, 248, 64])), 0
      )
      self.assertEqual(
          np.sum(modified_arr[0][70][70] - np.array([207, 248, 64])), 0
      )
      self.assertEqual(
          np.sum(modified_arr[0][50][70] - np.array([207, 248, 64])), 0
      )
      self.assertEqual(
          np.sum(modified_arr[0][70][50] - np.array([207, 248, 64])), 0
      )
  
file_path: evadb/test/integration_tests/long/functions/ndarray/test_annotate.py
imports: import unittest
  import numpy
  import pandas
  from numpy import asarray
  from evadb.configuration.constants import EvaDB_ROOT_DIR
  from evadb.functions.ndarray.annotate import Annotate
  from evadb.utils.generic_utils import try_to_import_pillow
label_desc: Use image node_id 3 for calling the AnnotateTests obj's underlying member method code with example usage: obj.test_should_annotate() without return types