[Digikam-users] Using digikam on two computers?

[Arnd Baecker]

Hi,

On Wed, 14 Jun 2006, Turgut Durduran wrote:

[...]

> I use a desktop computer for storage of my photos.
> That contains all my collections. Then I have a laptop
> that contains a subset that I am working on --
> cropping, adjusting colors, sorting, tagging etc. The
> laptop does not have large enough of a hard-drive to
> contain the whole set.
>
> Ideally, I want to be able to open an album, tag my
> photos, play with them on my laptop and somehow sync
> with those on desktop. Ofcourse, I am talking about
> digikam purposes, I know how to sync the files. This
> is probably not so straightforward.  So I am thinking,
> I should be able to "merge" two databases of tags
> somehow. Is it possible?

[...]

This has been asked for several times, see the B.K.O
(KDE Bugs report system :
http://bugs.kde.org/buglist.cgi?product=digikam
)
For this particular case:
http://bugs.kde.org/show_bug.cgi?id=125474

This is very high on my wishlist ;-) -
I am already frightened about my next holiday,
which will surely be several 100 pictures and I really
would like to tag, label and rate them if
possible everyday (Sitting there with a huge bunch of
pictures after the holiday is no fun).

Would something like the following be possible:
- no digikam running on main computer
- copy all new images to the corresponding directories
- open digikam sqllite database and
- add every additional file registered in the digikam database of the
  laptop
  (also new tags etc. will be added during this procedure,
   but no tags or images deleted.)
(by now you will have realized that I don't have any idea
about sql, but still maybe an expert can do this,
or give some pointers?)
If the above was possible, it surely is not *the* solution,
but it could fulfill the needs of many(?) users.

BTW, when writing this above procedure, I had in
mind that on the laptop one already has a digikam database
which at least contains all the tags of the main computer.
Recently I wrote a small script which runs over all images
and scales them down.
(With this I managed to keep 1500 in just 270 MB, of course
in pretty poor quality, but almost good enough
for the laptop)
If someone is interested I can post the script.

Best, Arnd