3 ms·
It looks interesting; I might be in their target group. But after ten minutes of browsing around, I still have some open questions regarding privacy. What woul
by janfoeh 3y ago
It looks interesting; I might be in their target group.
But after ten minutes of browsing around, I still have some open questions regarding privacy. What would I have to do to have an absolutely, unequivocally local-only install? Can I even do that? Which features would I need to disable? Especially anything related to AI and classification raises red flags in that regard.
While it is apparent that they've given a lot of thought to privacy and while their privacy policy is definitely one of the better ones I have seen, it still conflates things such as website access with usage of the tool itself.
It would be nice to have one clear, guiding document that outlines how private a private install really is.
- A4ET8a8uTh0 3y agoYep. I like the design. I like the little globe that shows where your pictures come from. It is all neat. I actually would pay money for it, because right now I just watch pics/vids from trips manually. I would not want to install another data hoover ( especially of something as intimate as my family pictures ) unless I could be relatively certain data stays where it is.
- vorpalhex 3y agoDo a docker install and disable outbound internet access on it.
- the_common_man 3y agoHow does one disable outbound access entirely in a single docker Container?
- vorpalhex 3y agoUse "networks" in your compose, optionally with HTTP_PROXY in your container https://stackoverflow.com/questions/39913757/restrict-internet-access-docker-container https://stackoverflow.com/questions/39913757/restrict-intern...
- the_common_man 3y agoBrilliant, thanks
- vorpalhex 3y agoAI recognition is local. You can totally disable external access and it will run fine (obviously assuming your photo storage is local). Their recognition model is loose. It works and it works well enough for what this is to be useful but it's just a quick classifier. It will absolutely have misses. You can optionally aadd in a coral dev board to save yourself some cpu load but I've never found it necessary.
- janfoeh 3y agoThat is good to know, thank you! I'm absolutely fine with a good enough classifier, as long as it is local. I would even be fine without one.
- joshvm 3y agoIs the non-accelerated model also a quantised version? The EdgeTPU is very efficient, but you can get a significant performance drop unless you take care when converting. Modern CPUs can do classification fast enough that you could do background processing and unless you have really tens of thousands of images, you'd be done in an hour or two