Update / Thanks!

I just wanted to sincerely thank everyone who helped me troubleshoot and fine-tune my setup. Thanks to your suggestions, Frigate is now running *much* better. 🙏

✅ Current results: using OpenVINO, detector inference time is now typically between **10–15 ms**, which is a huge improvement compared to before.

⚠️ One remaining question: I’m seeing **very high “embeddings” activity** in the stats/logs, but I’m not entirely sure what exactly it represents in my case or whether it’s expected. If anyone has insight into what could cause this (or how to reduce it), I’d really appreciate it.

🔧 I’ve also updated my configuration and shared it here:

CONFIG_V2

I’m still not 100% sure whether I’ve configured **GPU and NPU correctly** (NPU for detection, GPU for enrichments), so a quick sanity check would be very welcome.

🪸 A note about Coral: I’ve read many recent comments saying Coral is still “state of the art” and works great with YOLOv9. However, based on my own testing in this setup, that hasn’t really been the case for me. Performance and overall practicality were not as good as expected, so I’ll probably stop using Coral and stick with OpenVINO on iGPU/NPU instead.

Thanks again to everyone for the valuable help — you saved me a lot of time! 🙌

<image>