A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.
but once you start thinking about it there is a real opportunity to be quite clever.
For instance if we have a GPS position and a timestamp we can theoretically handle :
sunset/dusk - this changes daily and yearly
after dark - much like sunset
midnight - people say midnight but they probably actually mean more like 23:00-01:00
lunch time - perhaps this is regional
dinner time - perhaps this is regional
I am sure there are many more example but these server to demonstrate that it could become quite powerful
e.g. filter evening images but only those before before it got dark outside or fun edge cases like show me Utqiagvik morning images after sunset (Utqiagvik is an Alaska town that has 2 months of continual polar night every year)
An obvious extension of https://github.com/damianmoore/photonix/issues/157 (but perhaps even more useful) would be being able to use natural language to describe the time of day in filters.
On the face of it this is simple:
but once you start thinking about it there is a real opportunity to be quite clever.
For instance if we have a GPS position and a timestamp we can theoretically handle :
I am sure there are many more example but these server to demonstrate that it could become quite powerful
e.g.
filter evening images but only those before before it got dark outside
or fun edge cases likeshow me Utqiagvik morning images after sunset
(Utqiagvik is an Alaska town that has 2 months of continual polar night every year)