https://bugs.kde.org/show_bug.cgi?id=487004
Bug ID: 487004
Summary: Facerecognition filtering and clearing
Classification: Applications
Product: digikam
Version: unspecified
Platform: Fedora RPMs
OS: Linux
Status: REPORTED
Severity: wishlist
Priority: NOR
Component: Faces-Workflow
Assignee: digikam-bugs-n...@kde.org
Reporter: roq...@posteo.de
Target Milestone: ---
Created attachment 169469
--> https://bugs.kde.org/attachment.cgi?id=169469&action=edit
Examples for new features
I would like to suggest two features making the face-recognition workflow
easier, faster and more precise to use especially with bigger photo and face
libaries
1. Make it possible to clear all unconfirmed face suggestions without opening
"unconfirmed" tag
Reasoning: Running a bigger face-recognition task leaves me with thousands of
unconfirmed faces. Cleaning them up requires me to open the "unconfirmed" tag,
oftentimes taking multiple minutes to open or even crashing the application. I
guess it has to do with the face-thumbnails not being lazyloaded.
2. Add a filter for the face recognition limiting the facetags used in the
workflow. (just as it is possible to limit the process to certain albums or
tags).
Reasoning: The bigger the photo library and the more facetags exist in my
database, the longer take simple actions (e.g. importing a single album and
scanning for faces) as the comparison has to be made for every single facetag
with every image. On top of that, the results for e.g. birthdayphotos with my
grandma are scattered around all the possible facetags even though I know there
is a limited amount of people possible on these pictures. I end up going
through my entire facelibrary to get them all together and assigned correctly.
Therefore it would be easier to limit the possible results of the
face-recognition task to certain tags (equally as it possible to limit the
process to certain albums). That would also make it easier and faster searching
for a single facetag in a bigger range of albums. This would probably also
improve the perceived accuracy of the recognition-workflow.
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