Deduce geolocation from photos taken the same day
See original GitHub issueHi, discovered your project on HN, looks like something I could use 😃
Regarding the problem of photos with unknown location, the current solution consist to run the update
subcommand on them.
But say I have this folder tree :
├── 2015-06-Jun
│ ├── California
│ │ ├── 2015-06-29_16-34-14-img_3900.jpg
and an unknown location photo named 2015-06-29_17-07-06-img_3901.jpg
I think it would make the workflow even more painless, if I could ./elodie.py import --propagate ...
or something that would deduce that the photo has been taken in Cali since one half hour I took another one in this place.
A little magic/dangerous so should probably be turned off by default but does it make sense to you ?
Regards
Issue Analytics
- State:
- Created 8 years ago
- Reactions:1
- Comments:8 (8 by maintainers)
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Top GitHub Comments
@Ramblurr I run into this problem myself as well. I like the flags you suggested. Should probably consider what the default action would be if one of the flags were not used. I would error on the side of not clobbering data.
I agree @jmathai there should be a general way to extract then apply metadata from a photo onto a set of photos.
For me the use case is definitely GPS. Photos taken on my phone have geolocation metadata, but my DSLR photos don’t.
Also at the moment I’m hesitant to use --location on directories that have these photos mixed together. The smartphone photos have exact coordinates I don’t want lost. Whereas the DSLR photos, I just want to get them geotagged to a general area (city, region, etc).
But right now --location will overwrite the more specific geolocation on my smartphone photos. I can workaround this by being creative with the list of photos I pass to elodie’s update (update … ./.JPG for the smartphone vs ./.ARW for the dslr etc).
In addition to extracting and applying metadata, another
--create-or-ignore
/--create-only
/--ignore-if-exists
flag to update would be useful. (maybe I should move this to a new ticket?).Example: