Readit Newsdamianmoore commented on Ask HN: Are you interested in a privacy-first photo management solution? · Posted by u/1penny42cents
Hi @damian. That looks pretty cool. I’ll check it out. Just a small question - Is there any future plan to have a UI/UX that looks like a photo library, kind of like Google Photos. I understand that a lot of tagging and organising can be done using metadata, but I prefer building my own library and customising it. Nevertheless, this is pretty close to what I have in mind and because it is open source, I’ll see if I can extend it a bit to suit my needs.
I also want to allow selecting of multiple thumbnails to do batch operations. I guess that's a better way for doing many photos at a time.
damianmoore commented on Ask HN: Are you interested in a privacy-first photo management solution? · Posted by u/1penny42cents
Hi @damian. That looks pretty cool. I’ll check it out. Just a small question - Is there any future plan to have a UI/UX that looks like a photo library, kind of like Google Photos. I understand that a lot of tagging and organising can be done using metadata, but I prefer building my own library and customising it. Nevertheless, this is pretty close to what I have in mind and because it is open source, I’ll see if I can extend it a bit to suit my needs.
Hi @rochak. Thanks for the feedback. We do allow for tagging but the UI is a bit hidden on the photo detail screen right now. If you click a thumbnail and then scroll down you can see the auto generated tags, histogram, location and can add tags of your own. I'm going to change that part of the UI soon so it comes in from the right I think and has an icon to access it.
Key features: web-based, ML auto-detection of objects, colors and styles, map view, Android and iOS apps, ARM/Raspberry Pi support, works with your existing photo folder structure.
Face recognition/matching is almost done and we're also planning a cloud-hosted service for those that don't want to/can't self-host.
For those interested in the tech - the backend is Python, frontend is React-based, ML is done with Tensorflow/Keras, building is done via Docker, APIs use GraphQL.
Hopefully see some of you over at https://github.com/photonixapp/photonix