code: def __getitem__(self, idx):
      target = copy.deepcopy(self.valid_person_list[idx])
  
      image = cv2.imread(target["image_path"])
      image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
      if self.transforms is not None:
          image, person_info = self.transforms(image, target)
  
      return image, target
  
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 2 for calling the CocoKeypoint obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: image,  target