text: """
      Utility file consisting of common functions and variables used during training and evaluation
  """
  
  import json
  import os
  import cv2
  from utils.config import TARGET_DIR
  
  
  def read_json_data(file_name):
      """
          Utility function to read data from json file
  
          Args:
              file_name (str): Path to json file to be read
  
          Returns:
              article_list (List<dict>): List of dict that contains metadata for each item
      """
      with open(file_name) as f:
          article_list = [json.loads(line) for line in f]
          return article_list
  
  
  def draw_bboxes(file_name):
      """
      Utility functions to visualize the bounding boxes
  
      Args:
          file_name (str): Path for the file to be read
  
      Returns:
           None
      """
      box_color = (0, 255, 0)  # Green
      line_thickness = 5
      data_list = read_json_data(file_name)
      for data in data_list:
          img_path = data["img_local_path"]
          img = cv2.imread(img_path)
          bboxes = data["maskrcnn_bboxes"]
  
          for i, bbox in enumerate(bboxes):
              img = cv2.rectangle(img, (int(bbox[0]), int(bbox[1])), (int(bbox[2]), int(bbox[3])), box_color,
                                  line_thickness)
          cv2.imwrite(os.path.join(TARGET_DIR, data["img_local_path"]), img)
  