class_docstr: This provides Inference Engine for pre-trained classification model for InBody/OutBody.
code: def __init__(self, path: str, conf: Dict[str, str], **kwargs):
      super().__init__(
          path,
          conf,
          type=InferType.CLASSIFICATION,
          add_post_restore=False,
          load_strict=False,
          **kwargs,
      )
  
      # Override Labels
      self.labels = {"InBody": 0, "OutBody": 1}
  
imports: import logging
  from typing import Any, Dict
  from monailabel.interfaces.tasks.infer_v2 import InferType
  from monailabel.tasks.infer.bundle import BundleInferTask
label_desc: Use image node_id 1 to create a new InBody object from inherited base classes: BundleInferTask with example: obj = InBody(path, conf)