| Summary: | digiKam starts more slowly than previous versions | ||
|---|---|---|---|
| Product: | [Applications] digikam | Reporter: | Maik Qualmann <metzpinguin> |
| Component: | Faces-Recognition | Assignee: | Digikam Developers <digikam-bugs-null> |
| Status: | RESOLVED FIXED | ||
| Severity: | normal | CC: | caulier.gilles, minhnghiaduong997 |
| Priority: | NOR | ||
| Version: | 7.2.0 | ||
| Target Milestone: | --- | ||
| Platform: | Compiled Sources | ||
| OS: | Linux | ||
| Latest Commit: | Version Fixed In: | 7.2.0 | |
| Sentry Crash Report: | |||
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Description
Maik Qualmann
2020-09-04 19:21:38 UTC
(In reply to Maik Qualmann from comment #0) > The file "/usr/share/digikam/facesengine/openface_nn4.small2.v1.t7" is > loaded 10 times per RecognitionPreprocessor. A total of about 40 times at > the start of digiKam. Can't we load the file once and use it multiple times? > > Maik Hi Maik, I am intent to load an array of 10 faces extractor which contain OpenCV DNN Net object in order to accelerate batch processing. These objects can not be copied. However I fail to understand while the DNN Face recognizer is reloaded 4 times before digikam started. Could you explain why the faces management try to reload the face recognizer 4 times, please? Nghia Hi Maik, This issue has been fixed by implementing a shared private static pointer, under commit https://invent.kde.org/graphics/digikam/-/commit/28027b21d9fa4368eb2f2ad26dbb1cb33e274cce Nghia Thanks Nghia for your investigations and fixes. It's very appreciate. Note: look like you can auto comments a file in bugzilla directly when you commit using "CCBUGS: _bug _number_" macro include in your commit comment. Look for ex mine: https://invent.kde.org/graphics/digikam/commit/b5e3c5987a7380fdc5ce9a59ee5e62e6acbaf51b Gilles Nghia, I confirm the fix about memory allocation at startup: https://i.imgur.com/lQ8DcFw.png As you can see, memory allocation at startup is really lower than before. Look also the amount of RAM available on this other VM that i use to test digiKam: only 4 Gb maximum. digiKam start fine as expected here. Maik, did you confirm ? Gilles Yes, great, the problem is fixed. Maik |
