code: def get_cutmix_bbox(img_shape, lam, correct_lam=True, count=None):
      """
      Generates the box coordinates for cutmix.
  
      Args:
          img_shape (tuple): Image shape as tuple
          lam (float): Cutmix lambda value
          correct_lam (bool): Apply lambda correction when cutmix bbox clipped by
              image borders.
          count (int): Number of bbox to generate
      """
  
      yl, yu, xl, xu = rand_bbox(img_shape, lam, count=count)
      if correct_lam:
          bbox_area = (yu - yl) * (xu - xl)
          lam = 1.0 - bbox_area / float(img_shape[-2] * img_shape[-1])
      return (yl, yu, xl, xu), lam
  
file_path: SlowFast/slowfast/datasets/mixup.py
imports: import numpy
  import torch
label_desc: Use image node_id 4 for calling a global function with example usage: get_cutmix_bbox(img_shape, lam, correct_lam, count) and returns: yl,  yu,  xl,  xu,  lam