@tensorflow_team
I’ve been reading up on TFX and wanted to make a pipeline for object detection, using an “off-the-shelf” model from Model Hub or the object detection API. I’ve also had a look at the TF Lite model builder.
But (as far as I can see) all of these options has a snag that makes it unusable in the context of a TFX pipeline.
The closest I’ve gotten is with a Efficientdet feature-vector from Model Hub:
  

      gitlab.com
  

  
    smedegaard/objdet_ml_pipeline/-/blob/trunk/pipeline/trainer.py#L80 8

  



  

  
    
    
  

  


My question:
Is there an easy way to retrain a Tensorflow object detection model in a TFX pipeline at this moment in time?
regards,
Anders