https://bugs.kde.org/show_bug.cgi?id=485979
Bug ID: 485979
Summary: Expose Yolo Resizing Parameter to Improve Face
Detection Accuracy
Classification: Applications
Product: digikam
Version: 8.3.0
Platform: unspecified
OS: Unspecified
Status: REPORTED
Severity: wishlist
Priority: NOR
Component: Faces-Detection
Assignee: digikam-bugs-n...@kde.org
Reporter: kde-bugzi...@benjamin-portner.de
Target Milestone: ---
SUMMARY
Face detection in large images can be improved by increasing the re-sizing
parameter in the detection pipeline. To strike a balance between accuracy and
performance, the parameter shouldn't be fixed. I propose exposing it to the
user for manual adjustment.
STEPS TO REPRODUCE
1. Load a large image (many pixels) into digikam
2. Use the facial detection feature
OBSERVED RESULT
Not all faces are found
EXPECTED RESULT
All faces are found
SOFTWARE/OS VERSIONS
Windows: Windows 11 Pro
KDE Frameworks: 5.248.0
Qt: 6.6.1
ADDITIONAL INFORMATION
Image re-scaling is an important part of the face detection pipeline because it
improves the computation speed. Currently, the final image size after resizing
is hard-coded in the source code (e.g.
https://invent.kde.org/graphics/digikam/-/blob/master/core/libs/facesengine/detection/opencv-dnn/dnnfacedetectoryolo.cpp#L42
for the Yolo model). This is problematic, because if an image is very big
initially (many pixels), redical rescaling to the given size can make face
detection impossible. By making this parameter adjustable by the user, we could
improve the detection accuracy in such cases greatly.
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