| Summary: | UI for assigning people tag is very fragile | ||
|---|---|---|---|
| Product: | [Applications] digikam | Reporter: | Mathieu Jobin <opensource> |
| Component: | Faces-Workflow | Assignee: | Digikam Developers <digikam-bugs-null> |
| Status: | RESOLVED FIXED | ||
| Severity: | normal | CC: | caulier.gilles, metzpinguin |
| Priority: | NOR | ||
| Version First Reported In: | 5.9.0 | ||
| Target Milestone: | --- | ||
| Platform: | Other | ||
| OS: | Linux | ||
| Latest Commit: | Version Fixed/Implemented In: | 7.0.0 | |
| Sentry Crash Report: | |||
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Description
Mathieu Jobin
2019-09-08 21:51:13 UTC
You can also select several images at the same time under "Unknown" and assign a name at the same time. Either create a rectangle with the mouse or use CTRL + mouse click. "Choosing with the plus / minus in the upper left corner does not work. As part of the GSoC-2019 have students been working on face recognition and workflow enhancements. I can promise you that digiKam will take a big step forward in face detection and recognition. Maik Another thing is, you're using an old digiKam version. Did you start with a new face database? Maik 7.0.0-beta1 is out with new Face Recognition algorithm based on Deep Learning/Neural Network API from OpenCV https://download.kde.org/unstable/digikam/ Please test and give us a feedback Thanks in advance Gilles Caulier Point 12: See the Neural Network example from digiKam 7.0.0-beta1 performing faces recognition with 2 items face-tagged in first. https://i.imgur.com/HHF4T9X.png 1 new item is recognized, name-tagged, highlighted with green frame, and linked in "unconfirmed" virtual tag for confirmation. Recognition work well using Deep Learning and give 97% of true positive results. Look well my comments on the screenshot. Point 13 : Not reproducible here with 7.0.0-beta1 I close this file now. Merry Christmas and Happy new year. Gilles Caulier |