docstr: Modify the frame to annotate the bbox on it.
  
   Returns:
       ret (pd.DataFrame): The modified frame.
code: def forward(self, df: pd.DataFrame) -> pd.DataFrame:
      """
      Modify the frame to annotate the bbox on it.
  
       Returns:
           ret (pd.DataFrame): The modified frame.
      """
  
      def annotate(row: pd.Series) -> np.ndarray:
          row = row.to_list()
          frame = row[0]
          bboxes = row[2]
          try_to_import_cv2()
          import cv2
  
          for bbox in bboxes:
              x1, y1, x2, y2 = np.asarray(bbox, dtype="int")
              x1, y1, x2, y2 = int(x1), int(y1), int(x2), int(y2)
              frame = cv2.rectangle(
                  frame, (x1, y1), (x2, y2), color, thickness
              )
          return frame
  
      ret = pd.DataFrame()
      ret["annotated_frame_array"] = df.apply(annotate, axis=1)
      return ret
  
file_path: evadb/evadb/functions/ndarray/annotate.py
imports: import numpy
  import pandas
  from evadb.catalog.catalog_type import NdArrayType
  from evadb.functions.abstract.abstract_function import AbstractFunction
  from evadb.functions.decorators.decorators import forward, setup
  from evadb.functions.decorators.io_descriptors.data_types import PandasDataframe
  from evadb.utils.generic_utils import try_to_import_cv2
label_desc: Use image node_id 3 for calling the Annotate obj's underlying member method code with example usage: obj.forward(df) and returns: ret, frame