edgetpu-yolo VS frigate

I'm on the fence. It's a very nice device if you can get your models working on it - basically untouched at the price/power point. Drivers for me have been OK. I have an M.2 card connected to a Jetson devkit (makes for a nice embedded test bench) and it runs fine, no worse than the NCS for setup anyway. There were a couple of PCI settings to tweak but I documented the setup here [0]. For common use cases it's a decent option, I think. For custom models you really need to know what you're doing.

The main issue I've had is that the compiler behaviour differs between versions (and it's very difficult to find older releases), so where previously you could run a big model and delegate things to the CPU, now it sometimes won't compile at all. There were also problems where we trained a model in AutoML - using free credits but the real cost would have been over $100 - but edgetpu compiled model lost a lot of performance. The developers have been very helpful when I've contacted them, and generally you can get through to real devs (not generic support) who can look at your model for you. Mostly I think you need to take care when training models for these devices, but quantisation-aware training is not trivial to use in Tensorflow and there are only a few off-the-shelf models which are supported in the various toolkits. Model maker looks promising, but it's also finnicky in my experience [1].

I'm not super worried about hardware availability. They're suffering from the chip shortage like everyone else, so it's not surprising that lead times are long. I was able to buy my device in late 2020 without any trouble.

[0] https://github.com/jveitchmichaelis/edgetpu-yolo/blob/main/h...

Am in to selfhosting and homeserver, finally got to try Frigate with some aliexpress camera that was not mine. Love it.

However, I have had success using IP Camera app with Frigate. https://play.google.com/store/apps/details?id=com.pas.webcam https://frigate.video/

Frigate https://frigate.video/ and ZoneMinder https://zoneminder.com/ come to mind. Blue Iris https://blueirissoftware.com/ is not open source but is what I prefer to use for my PoE systems ($80/yr)

Logger: custom_components.frigate Source: custom_components/frigate/__init__.py:201 Integration: Frigate (documentation, issues) First occurred: 1:59:34 AM (2 occurrences) Last logged: 1:59:48 AM

Engineering implies working within constraints. Most people in this realm only have to deal with the spouse acceptance factor as a limiter.

Went from openhab -> homeassistant -> Node-RED. Then sprinkle in MySensors, Frigate, and Double-Take, but not on just the entrance, go for the perimeter then defense in depth.

https://www.mysensors.org/

https://frigate.video/

https://github.com/jakowenko/double-take

- https://github.com/blakeblackshear/frigate/discussions/7932#...

I have found my frigate+ model to be much more accurate and crazy good even at night. Will be curious how things change when it snows here more often, since I've not submitted any examples of winter at this house yet.

According to the author of that PR, they're using 10% of 1 NPU core on 3 cameras: https://github.com/blakeblackshear/frigate/pull/8382#issueco...

The bottleneck instead will probably be the video stream decoding speed, especially as the SoC's hardware decoder isn't being used yet.

2023-11-13 11:16:39.073 ERROR (MainThread) [custom_components.frigate] Using a Frigate server (http://ccab4aaf-frigate-fa:5000) with version 0.12.1-367d724 <= 0.12.1 which is not compatible -- you must upgrade: https://github.com/blakeblackshear/frigate/releases