code: def __getitem__(self, idx):
      ann_info = (
          self.coco["annotations"][idx]
          if "annotations" in self.coco
          else self.coco["images"][idx]
      )
      img_path = Path(self.img_folder) / ann_info["file_name"].replace(
          ".png", ".jpg"
      )
      ann_path = Path(self.ann_folder) / ann_info["file_name"]
  
      img = Image.open(img_path).convert("RGB")
      w, h = img.size
      if "segments_info" in ann_info:
          masks = np.asarray(Image.open(ann_path), dtype=np.uint32)
          masks = rgb2id(masks)
  
          ids = np.array(
              [ann["id"] for ann in ann_info["segments_info"]]
          )
          masks = masks == ids[:, None, None]
  
          masks = torch.as_tensor(masks, dtype=torch.uint8)
          labels = torch.tensor(
              [ann["category_id"] for ann in ann_info["segments_info"]],
              dtype=torch.int64,
          )
  
      target = {}
      target["image_id"] = torch.tensor(
          [
              ann_info["image_id"]
              if "image_id" in ann_info
              else ann_info["id"]
          ]
      )
      if self.return_masks:
          target["masks"] = masks
      target["labels"] = labels
  
      target["boxes"] = masks_to_boxes(masks)
  
      target["size"] = torch.as_tensor([int(h), int(w)])
      target["orig_size"] = torch.as_tensor([int(h), int(w)])
      if "segments_info" in ann_info:
          for name in ["iscrowd", "area"]:
              target[name] = torch.tensor(
                  [ann[name] for ann in ann_info["segments_info"]]
              )
  
      if self.transforms is not None:
          img, target = self.transforms(img, target)
  
      return img, target
  
file_path: detr/datasets/coco_panoptic.py
imports: import json
  from pathlib import Path
  import numpy
  import torch
  from PIL import Image
  from panopticapi.utils import rgb2id
  from util.box_ops import masks_to_boxes
  from .coco import make_coco_transforms
label_desc: Use image node_id 2 for calling the CocoPanoptic obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: img,  target