code: def per_sample_transform(self) -> Callable:
      return T.Compose(
          [
              ApplyToKeys(DataKeys.INPUT, T.ToTensor()),
              ApplyToKeys(
                  DataKeys.TARGET,
                  ApplyToKeys("target_boxes", torch.as_tensor),
              ),
          ]
      )
  
file_path: lightning-flash/src/flash/image/face_detection/input_transform.py
imports: from dataclasses import dataclass
  from typing import Any, Callable, Dict, Sequence
  import torch
  from flash.core.data.io.input import DataKeys
  from flash.core.data.io.input_transform import InputTransform
  from flash.core.data.transforms import ApplyToKeys
  from flash.core.utilities.imports import _FASTFACE_AVAILABLE, _TORCHVISION_AVAILABLE
label_desc: Use image node_id 1 for calling the FaceDetectionInputTransform obj's underlying member method code with example usage: obj.per_sample_transform() and returns: T