class_docstr: ObjectDetector handler class. This handler takes an image
  and returns list of detected classes and bounding boxes respectively
code: def initialize(self, context):
      super().initialize(context)
  
      properties = context.system_properties
      # Torchvision breaks with object detector models before 0.6.0
      if version.parse(torchvision_version) < version.parse("0.6.0"):
          self.initialized = False
          self.device = torch.device(
              "cuda"
              if torch.cuda.is_available()
              and properties.get("gpu_id") is not None
              else "cpu"
          )
          self.model.to(self.device)
          self.model.eval()
          self.initialized = True
  
file_path: serve/ts/torch_handler/object_detector.py
imports: import torch
  from torchvision import transforms
  from torchvision import __version__
  from packaging import version
  from .vision_handler import VisionHandler
  from ..utils.util import map_class_to_label
label_desc: Use image node_id 1 for calling the ObjectDetector obj's underlying member method code with example usage: obj.initialize(context) without return types