code: def convert_bbox_from_albumentations(
      bbox: BoxType,
      target_format: str,
      rows: int,
      cols: int,
      check_validity: bool = False,
  ) -> BoxType:
      """Convert a bounding box from the format used by albumentations to a format, specified in `target_format`.
  
      Args:
          bbox: An albumentations bounding box `(x_min, y_min, x_max, y_max)`.
          target_format: required format of the output bounding box. Should be 'coco', 'pascal_voc' or 'yolo'.
          rows: Image height.
          cols: Image width.
          check_validity: Check if all boxes are valid boxes.
  
      Returns:
          tuple: A bounding box.
  
      Note:
          The `coco` format of a bounding box looks like `[x_min, y_min, width, height]`, e.g. [97, 12, 150, 200].
          The `pascal_voc` format of a bounding box looks like `[x_min, y_min, x_max, y_max]`, e.g. [97, 12, 247, 212].
          The `yolo` format of a bounding box looks like `[x, y, width, height]`, e.g. [0.3, 0.1, 0.05, 0.07].
  
      Raises:
          ValueError: if `target_format` is not equal to `coco`, `pascal_voc` or `yolo`.
  
      """
      if target_format not in {"coco", "pascal_voc", "yolo"}:
          raise ValueError(
              f"Unknown target_format {target_format}. Supported formats are: 'coco', 'pascal_voc' and 'yolo'"
          )
      if check_validity:
          check_bbox(bbox)
  
      if target_format != "yolo":
          bbox = denormalize_bbox(bbox, rows, cols)
      if target_format == "coco":
          (x_min, y_min, x_max, y_max), tail = bbox[:4], tuple(bbox[4:])
          width = x_max - x_min
          height = y_max - y_min
          bbox = cast(BoxType, (x_min, y_min, width, height) + tail)
      elif target_format == "yolo":
          (x_min, y_min, x_max, y_max), tail = bbox[:4], bbox[4:]
          x = (x_min + x_max) / 2.0
          y = (y_min + y_max) / 2.0
          w = x_max - x_min
          h = y_max - y_min
          bbox = cast(BoxType, (x, y, w, h) + tail)
      return bbox
  
imports: from __future__ import division
  from typing import Any, Dict, List, Optional, Sequence, Tuple, TypeVar, cast
  import numpy
  from .transforms_interface import BoxInternalType, BoxType
  from .utils import DataProcessor, Params
label_desc: Use image node_id 8 for calling a global function with example usage: convert_bbox_from_albumentations(bbox, target_format, rows, cols, check_validity) and returns: bbox