code: def __init__(self, refexp_gt_path, k=(1, -1), thresh_iou=0.5):
      assert isinstance(k, (list, tuple))
      with open(refexp_gt_path, "r") as f:
          self.refexp_gt = json.load(f)
      self.img_ids = [item["id"] for item in self.refexp_gt["images"]]
      print(f"Load {len(self.img_ids)} images")
      print(f"Load {len(self.refexp_gt['annotations'])} annotations")
      self.k = k
      self.thresh_iou = thresh_iou
  
file_path: ml-ferret/ferret/eval/eval_refexp.py
imports: import os
  import copy
  from collections import defaultdict
  from pathlib import Path
  from tqdm import tqdm
  import torch
  import torch.utils.data
  from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
  from prettytable import PrettyTable
  import re
  import json
  from misc.refcoco.box_ops import generalized_box_iou, box_iou
label_desc: Use image node_id 1 to create a new RefExpEvaluatorFromJsonl object from inherited base classes: object with example: obj = RefExpEvaluatorFromJsonl(refexp_gt_path, k, thresh_iou)