code: def imshow_bboxes(
      img,
      bboxes,
      colors="green",
      top_k=-1,
      thickness=1,
      show=True,
      win_name="",
      wait_time=0,
      out_file=None,
  ):
      """Draw bboxes on an image.
  
      Args:
          img (str or ndarray): The image to be displayed.
          bboxes (list or ndarray): A list of ndarray of shape (k, 4).
          colors (list[str or tuple or Color]): A list of colors.
          top_k (int): Plot the first k bboxes only if set positive.
          thickness (int): Thickness of lines.
          show (bool): Whether to show the image.
          win_name (str): The window name.
          wait_time (int): Value of waitKey param.
          out_file (str, optional): The filename to write the image.
  
      Returns:
          ndarray: The image with bboxes drawn on it.
      """
      img = imread(img)
      img = np.ascontiguousarray(img)
  
      if isinstance(bboxes, np.ndarray):
          bboxes = [bboxes]
      if not isinstance(colors, list):
          colors = [colors for _ in range(len(bboxes))]
      colors = [color_val(c) for c in colors]
      assert len(bboxes) == len(colors)
  
      for i, _bboxes in enumerate(bboxes):
          _bboxes = _bboxes.astype(np.int32)
          if top_k <= 0:
              _top_k = _bboxes.shape[0]
          else:
              _top_k = min(top_k, _bboxes.shape[0])
          for j in range(_top_k):
              left_top = (_bboxes[j, 0], _bboxes[j, 1])
              right_bottom = (_bboxes[j, 2], _bboxes[j, 3])
              cv2.rectangle(
                  img,
                  left_top,
                  right_bottom,
                  colors[i],
                  thickness=thickness,
              )
  
      if show:
          imshow(img, win_name, wait_time)
      if out_file is not None:
          imwrite(img, out_file)
      return img
  
imports: import cv2
  import numpy
  from annotator.uniformer.mmcv.image import imread, imwrite
  from .color import color_val
label_desc: Use image node_id 2 for calling a global function with example usage: imshow_bboxes(img, bboxes, colors, top_k, thickness, show, win_name, wait_time, out_file) and returns: img