class_docstr: DeepSORT network, see https://arxiv.org/abs/1703.07402
  
  Args:
      detector (object): detector model instance
      reid (object): reid model instance
      tracker (object): tracker instance
class_docstr_tok: ["DeepSORT","network",",","see","https",":","\/\/arxiv.org\/abs\/1703.07402","Args",":","detector","(","object",")",":","detector","model","instance","reid","(","object",")",":","reid","model","instance","tracker","(","object",")",":","tracker","instance"]
code: def _forward(self):
      crops = self.inputs["crops"]
      outs = {}
      outs["embeddings"] = self.reid(crops)
      return outs
  
file_path: PaddleDetection/ppdet/modeling/architectures/deepsort.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from ppdet.core.workspace import register, create
  from .meta_arch import BaseArch
  from ppdet.modeling.mot.utils import Detection, get_crops, scale_coords, clip_box
label_desc: Use image node_id 3 for calling the DeepSORT obj's underlying member method code with example usage: obj._forward() and returns: outs