[digikam] [Bug 365669] New: Git master: Face Recognition improvement suggestion

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https://bugs.kde.org/show_bug.cgi?id=365669

            Bug ID: 365669
           Summary: Git master: Face Recognition improvement suggestion
           Product: digikam
           Version: 5.1.0
          Platform: Compiled Sources
                OS: Linux
            Status: UNCONFIRMED
          Severity: wishlist
          Priority: NOR
         Component: Tags
          Assignee: [hidden email]
          Reporter: [hidden email]

The accuracy of the face recognition is pretty bad. ( I got an approximate 10%
hit ratio )
The automatic recognizer then also puts away the images into the categories
where it thinks they belong... I'm not saying I'm popular or anything, but in
ten year's of photographs I have met and photograped quite a number of people,
and correcting the autotags with such a horrible hit ratio can be quite
painful.

So, why not have the face recognition algorythm run whenever the tagger dialog
is activated on a window/icon? Then it would be possible to give the user the
top three guesses as to whose face it is that is being displayed, as well as a
free form text entry to make new tags, or search for existing tags.

Reproducible: Always

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                 CC|                            |[hidden email]
          Component|Tags                        |Faces-Management
            Summary|Git master: Face            |Face Recognition
                   |Recognition improvement     |improvement suggestion
                   |suggestion                  |

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--- Comment #1 from [hidden email] ---
*** Bug 376901 has been marked as a duplicate of this bug. ***

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--- Comment #2 from [hidden email] ---
The face recognition is based on a dedicated algorithm plugged in faceEngine
class from digiKam core.

A new one can be add without to introduce a dysfunction. In GUI we can make it
selectable.

This is the goal of GSoC 2017 idea :

https://community.kde.org/GSoC/2017/Ideas#Project_4_:_digiKam_Face_Management_improvements

Gilles Caulier

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--- Comment #3 from [hidden email] ---
This file is also an entry  to process in GSoC 2017 :

https://bugs.kde.org/show_bug.cgi?id=291514

Gilles Caulier

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--- Comment #4 from [hidden email] ---
Another one entry to process while GSoC 2017 :

https://bugs.kde.org/show_bug.cgi?id=316897

Gilles Caulier

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--- Comment #5 from [hidden email] ---
Yingjie Liu,

Please review enties from bugzilla that i start to list in this file for GSoC
2017. Create a private proposal in Google Doc and share with me in private. I
will forward to other developers.

Gilles Caulier

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--- Comment #6 from Evert Vorster <[hidden email]> ---
Hi there, Gilles.

 I think my suggestion here was more to have a sort of training mode for the
face recognition software. Normally it tries to detect and recognize all the
faces as quick as possible.
Unfortunately, this causes many faces to be wrongly detected and it is a pain
to fix.

I was thinking of a "training" or "manual" mode where the face tagger would go
through your photos and stop as soon as it detects a face. The UI can then show
the face, along with an configurable amount of guesses as to whose face it is
in the picture. The user can then select the correct face, or add a new tag if
the name is not on the list. Then it can carry on to the next face.
In this way the software tries to help, and may speed up face tagging, but it
won't be incorrectly tagging faces, and so won't learn the wrong faces.

This alternative workflow would reduce the wrong detections quite a bit. Once
the face tagger guesses correct every time, then one can put it into automatic
mode.

-Evert-

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          Component|Faces-Management            |Faces-Recognition

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