code: def inference(self, data, *args, **kwargs):
      results = inference_detector(self.model, data)
      return results
  
file_path: mmdetection/tools/deployment/mmdet_handler.py
imports: import base64
  import os
  import mmcv
  import numpy
  import torch
  from ts.torch_handler.base_handler import BaseHandler
  from mmdet.apis import inference_detector, init_detector
label_desc: Use image node_id 3 for calling the MMdetHandler obj's underlying member method code with example usage: obj.inference(data) and returns: results