code: def collate_fn(batch):
      imgs_tuple, targets_tuple = tuple(zip(*batch))
      imgs_tensor = torch.stack(imgs_tuple)
      return imgs_tensor, targets_tuple
  
file_path: deep-learning-for-image-processing/pytorch_keypoint/HRNet/my_dataset_coco.py
imports: import os
  import copy
  import torch
  import numpy
  import cv2
  import torch.utils.data
  from pycocotools.coco import COCO
label_desc: Use image node_id 4 for calling the CocoKeypoint obj's underlying member method code with example usage: obj.collate_fn(batch) and returns: imgs_tensor,  targets_tuple