I’ve done It before. It’s just highly dependent on the PDF. What software made the pdf? What format was it in prior to being a PDF? Is it a scanned image of text? Or does it have actual text.

Another option, that might work better, might not, though it would be more work, is use something like Microsoft Word first. Word can open a PDF and “convert” it to Word format. After that, you spend a lot of time fixing all the formatting which will probably be fucked up.

And then, once you have a nice clean Word doc, convert that to epub.

IMO everyone should read Culture Clash by Jean Donaldson. Really sets the stage for further reading into dog training, but is also great to just demystify a lot of misconceptions people have about dog behavior in general. 100% this one.

I have thought about different ways to do that. Both iOS and android have the ability to run scripts upon certain triggers such as joining a certain Wi-Fi network. (On iOS the Shortcuts app can do this). I’ve thought about using that to post to the already running mqtt broker and using that to update my system. Or I’ve thought about just snooping all the nearby Wi-Fi clients to my server, and if it detects my phone, do something similar.

Or I suppose you could turn it around, before the system decides it has an intruder, check to see if your phone is in fact at home via some method. Either scanning for it on Wi-Fi or some other way.

You could set it up like that yes, I suppose it would be bad opsec to give away exactly how I set mine up. But HA certainly has the ability to be informed when your phone comes home and change what alerts are sent out based on that

Unfortunately not quite so good. Maybe there exists a model that can do facial recognition. But the model I have loaded on mine just spits out “dog”, or “person”, or “car”. The false-positives I was referring to it not having, is what you’d typically get with a pixel-based motion detection camera. Where if it sees a leaf on a tree move, it alerts you.

Mine, at least that leaf needs to look convincingly like a person.

You can read more about the Coral at https://coral.ai/models/

I have a frigate setup. I run it through Docker and I even have the Coral AI processor chip hooked up. Which is pretty neat, runs local pattern recognition for people, annimals, etc. I use generic IP cams on their own network. I think pretty much anything that supports RTSP would work. Then hooked up to HA via MQTT, again all in docker. With the coral, I only get notifications if it actually detects a person. The false positives are extremely rare. And I use Tailscale for access from outside the LAN

You could be right. I am not a pro so I don’t really want to speak on the best practice approach. Really the only reason I containerize my services is the ease-of-deployment and the ease of potential re-deployment if my server did crash.

I personally am not too stressed about bad actors, being as this is a hobby server and the payout for a bad actor would be pretty low.

But your point does make sense to me.

I also do this. Just run Tailscale on bare metal and then I can access my all my services the same as if I was on my LAN, essentially.

+1 on duplicity. I run it directly on the host, outside of my docker containers. Grabs the data from the different volumes for my Nextcloud etc, puts it all into an AWS infrequent access bucket. Costs me ~3$USD/month. Pretty simple. Runs on cron

Sortaaaa, it’s pretty weak from what I remember and mostly served to give you a reason to explore more of the sandbox and use the different features of the game.