Are photos encrypted, both in-transit and at rest?
It's self hosted, so both parts are up to you.
Of course you could setup TLS and FDE but this doesn't guarantee that your data will be safe.
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Are photos encrypted, both in-transit and at rest?
It's self hosted, so both parts are up to you.
Of course you could setup TLS and FDE but this doesn't guarantee that your data will be safe.
I’d really like to get off of iCloud Photo Library, but I’m not sure of a way to reliably and automatically sync photos off of my iPhone to a provider like LibrePhotos. Has anyone figured this out?
Most NAS providers (like Synology and QNAP) also have native sync apps.
It's good to have options so if one gives you attitude, you can switch it out.
I wrote up more details here: https://photostructure.com/faq/how-do-i-safely-store-files/#...
How do this and the other alternatives handle Apple’s “Live Photos”? This pernicious feature is adored in my family and they won’t consider options that would take it away.
In the Android world, Samsung and Google support eachothers live picture format. As far as I can tell for Google they embed video in the picture, Samsung has their own format for this. Im on an older version of android and the live photos dont have the snappiness of Apple's, but that could be a processor power issue or even stylistic choice. Particularly the length of the live photo is noticeably different. Im not su…
Looking at this project and some of the alternatives provided, they seem to be quite memory hungry. I assume this is related to the ML model. Is there any way to run this (or one fo the alternatives) in a "Lite" mode without any ML? I see that Photoprism has a ton of flags, but it's not obvious how those affect memory usage.
Darn. Doesn’t look like it runs on ARM. No Raspberry Pi. I can appreciate that it is difficult to port things. On a side note: I’m eager to see how much support for non-x86 architectures will grow with the introduction of the M1 chip.
Looking at this project and some of the alternatives provided, they seem to be quite memory hungry. I assume this is related to the ML model. Is there any way to run this (or one fo the alternatives) in a "Lite" mode without any ML? I see that Photoprism has a ton of flags, but it's not obvious how those affect memory usage.
The ML models I'm loading for the next version may take a bit more RAM than that, but (as most features with PhotoStructure), you'll be able to selectively disable them to taste.
What's the current recommended way of getting your photos out from Google Photos? And I don't mean manually via Google Takeout (that's a dumpster fire and doesn't work most of the time) but I'd like to automate it for periodic backups. You never know when you Google Account might be killed, taking tens of years of pictures and videos with it :(
What’s wrong with google takeout? I’ve transferred everything to iCloud without any issue.
For anyone moving from google photos and looking for alternatives, I recently transitioned to a NAS from Synology. They offer many apps, and one is very similar to this project, although a bit more polished. It's not open source, though (AFAIK). Performance with 2TB of movies and raw photos is awesome (60k files+). Indexing and face recognition took a few days, though. https://www.synology.com/en-global/dsm/feature/m…
A bit off-topic, but I've just bought a small 2-bay synology NAS and I'm wondering if I should go ext4 or btrfs for my family photos/videos. I like the idea of data safety features like checksums & scrubbing, but ext4 seems more robust & tested. Which did you go with?
For anyone moving from google photos and looking for alternatives, I recently transitioned to a NAS from Synology. They offer many apps, and one is very similar to this project, although a bit more polished. It's not open source, though (AFAIK). Performance with 2TB of movies and raw photos is awesome (60k files+). Indexing and face recognition took a few days, though. https://www.synology.com/en-global/dsm/feature/m…
It's amazing that synology would hold themselves back with a proprietary app when they are trying to sell hardware and are competing against Google and Apple.