[Digikam-devel] [digikam] [Bug 271679] Digikam detects but does not recognize faces.
Samuel Gilbert
samuel.gilbert at usherbrooke.ca
Tue Jun 30 04:52:22 BST 2015
https://bugs.kde.org/show_bug.cgi?id=271679
--- Comment #26 from Samuel Gilbert <samuel.gilbert at usherbrooke.ca> ---
Following Gilles' post, I tried to get face detection to work again.
What I did :
- Went to the Face tab
- Clicked on Scan collection for faces
- Selected "Skip images already scanned" and "Detect faces"
- I selected a new album for which I had never ran face detection
- I clicked scan
After a while, the faces started showing up for the new album. When the process
was complete, here is what I did :
- Clicked on Scan collection for faces
- Selected "Recognize faces"
- Clicked scan
There was no visible result even after the operation was complete. I went back
to the album tab, selected another album then came back to the face tab and
scrolled to the album I had just scanned. I then then manually identified about
one third of the face of each person in the album.
I relaunched the scan with the "Recognize faces" option. Still no change.
I then scanned again with the "Clear unconfirmed results and rescan" option and
"Detect and recognize faces".
At some point, Digikam crashed and since I am using the ArchLinux packages, the
stack trace wasn't really useful.
I have done a few more scans, and now I get a suggestion in bellow some of the
thumbnails in the face tab. The suggestion is pretty bad, and quite a few
pictures don't even have a suggestion. Usually the suggestion controls (textbox
+ 2 buttons) follow the mouse cursor, but sometimes it gets stuck on a
thumbnail.
I had already manually identified a few people in the album in other albums
before I launched the tests. I don't know if the identification performance
just needs more training to improve.
I don't know if I should consider this a win or fail considering the issues I
encountered.
Is there a way to clear all the face identification data _without_ launching a
scan of the entire collection? I would like to start from scratch for the
detection, training and recognition.
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