code: def forward(self, img: Tensor) -> Tensor:
      if not isinstance(img, Tensor):
          img = F.pil_to_tensor(img)
      return F.convert_image_dtype(img, torch.float)
  
imports: from typing import Optional, Tuple
  import torch
  from torch import nn, Tensor
  from .None import functional, InterpolationMode
label_desc: Use image node_id 1 for calling the ObjectDetection obj's underlying member method code with example usage: obj.forward(img) and returns: F