I’m running a frigate docker container on unRAID and it’s detecting cars with the default model successfully. I would like to perform number plate localisation and optical character recognition, and would like to know how to best go about this.
I was going to use deepstack and found some guides on its use via double take, however, this seems exclusively for facial recognition.
Is it possible to perform car recognition and plate recognition within the same model, followed by separate OCR via snapshots, or will I need a separate model for each stage? Frigate is using my M.2 coral EdgeTPU for real time detection.
I have a bit of experience training models and think I could make an effective one for plate detection, but am unsure if I could share the TPU with frigate for real time detection if my model was deployed in a VM.
submitted by /u/BoopJoop01
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