core VS double-take

Some libraries support ways to handle missing translations (e.g., TranslocoMissingHandler from Transloco or MissingTranslationHandler   from ngx-translate). So that's a way to find out any missing translations, but that's quite manual because you have to go over every part of the served application.

ngx-translate

It was rather painless. We are using ngx-translate which seems dead at this point but works fine in 16 (seems to have gotten a recent commit).

The problem with Angular 15 was the Ivy engine. And it wasn't fixed, maybe you're not affected. https://github.com/ngx-translate/core/issues/1185

He talks about it more here: https://github.com/ngx-translate/core/issues/783

Ngx-translate is not updated anymore. Latest version is a year old. It's still not abandoned but it seems like the developer moved on to work on Angular i18n.

Just to refer to the original docs: https://github.com/ngx-translate/core

One of the common pitfalls when using i18n are large translation files size and inability to split them in order to hide parts of your application from prying eyes. Some solutions like Angular built-in implementation are really powerful and SEO compatible but require a lot of preparation and do not support switching languages on the fly in development mode (which was causing troubles at least in version 9); other solutions like ngx-translate require you to install several packages and still don’t support splitting up a single language.

# Learn more at https://github.com/jakowenko/double-take/#configuration

I looked at Double Take (UI that lets you do the training of your face recondition easily) and found CompreFace as one of models they support. It looks like what I need but there is a catch... no OpenVino (intel CPUs AI accelerator) support. I really like my low power NVR setup and would like keep it that way. Running AI on CPU without acceleration is both power inefficient and much slower. I have a spare low end GPU but if dump it in the system the current AI acceleration brakes... (I know I can prob fix it but that is a rabbit hole I would prefer to avoid).

CompreFace can be used "in addition" via Double-Take but that is additional detection based on frigate object events.

Not OP, but I _love_ talking about this stuff, so you're stuck with me. :D

I'm a big fan of this project:

https://frigate.video/

It's open source, and you can hook it up to a Coral (or some other things, I think) to get crazy-fast classifications. But CPU is fine for only a few cameras.

Once you get something like that setup, it's just a matter of finding cameras that support RTSP. You get them setup however you like (but preferably wired, with PoE), point Frigate at the RTSP stream, and that's it. Now you've got home security footage that never leaves your house. You can set up a VPN to watch the feeds from elsewhere. Frigate supports MQTT as well, so you can hook it into Home Assistant to get notifications, and even pipe person events into something like Double Take to get face detection:

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

have you checked out double take?

I purchased this device off eBay the week of July 4th, and willingly paid scalper prices with the idea that I'd spend much of that week learning Frigate, double-take, and DeepStack; turns out, I had the ML-powered facial recognition, alerts and Home Assistant automations up and running in an hour.