https://bugs.kde.org/show_bug.cgi?id=504454

            Bug ID: 504454
           Summary: Slow/complicated to tag multiple faces on the same
                    image
    Classification: Applications
           Product: digikam
      Version First 8.6.0
       Reported In:
          Platform: Microsoft Windows
                OS: Other
            Status: REPORTED
          Severity: normal
          Priority: NOR
         Component: Faces-Workflow
          Assignee: digikam-bugs-n...@kde.org
          Reporter: malte.boen...@web.de
  Target Milestone: ---

SUMMARY
Tagging multiple faces on the same image is complicated and time consuming,
because digikam takes a few seconds to save a previously added/confirmed face,
then reload the image, and jump to any recognized but not yet tagged/confirmed
face. 
If I am in the process of tagging many faces on a group picture, it might take
me several minutes just because I always need to wait for the previous
confirmed face to have been saved to the image. If I do not wait for the face
to have been saved but select and start typing a name, the image will reload
after a few seconds and then jump to a different face.

STEPS TO REPRODUCE
1. Open a picture with several faces that were found but have not yet been
tagged
2. Tag the first face by hitting enter to confirm
3. click immediately on a different face
4. start typing the name

OBSERVED RESULT
The image will reload while you are selecting or typing the next name and then
likely jump to a different face that has not yet been tagged

EXPECTED RESULT
Either all the changes (e.g. added face tags) to an image should only be
executed when I move on to the next image (e.g. save all changes/additions at
once to the image) 
OR
keep the selected face or the already typed letters of the new name.

SOFTWARE/OS VERSIONS
Windows: 11 Version 23H2
macOS: 
(available in the Info Center app, or by running `kinfo` in a terminal window)
digiKam: 8.6.0
KDE Frameworks: 6.10.0
Qt: 6.8.1 wird verwendet und gebaut wurde mit 6.8.1
Windows 11 Version 23H2
Build ABI: x86_64-little_endian-llp64
Kernel: winnt 10.0.22631


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