[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2018-12-18 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #1 from Jens --- Update: this also happens when using the other engine (not the deep learning engine), and the memory usage stays at >1GB after using face detection, and memory usage was <200MB before using face detection. So there is a lea

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2018-12-18 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #2 from Jens --- Update 2: With appimage 20181208, memory usage also spikes, but not as high (up to ~900MB, instead of 1.5GB). Same database, same settings, etc. Also, with both engines, the speed for detection has become RREEAALLYY SSLLOOW

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2018-12-18 Thread bugzilla_noreply
https://bugs.kde.org/show_bug.cgi?id=402320 caulier.gil...@gmail.com changed: What|Removed |Added CC||caulier.gil...@gmail.com --- Comment

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2018-12-20 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #4 from Jens --- Main dialog: - select "search again and merge results" in dropdown menu - select "detect and recognize faces" Options: - Albums: choose some albums (in my case, 10..56) - all keywords (default) - Parameters: 80% precision -

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-04 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #5 from Jens --- I am now using the appimage from 20181228 and the memory hole has even become worse. The digikam process now has 2GB resident memory without using face detection at all, just for having Digikam hang around in the background

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-04 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #6 from Jens --- I should add I am using Digikam on a dual screen setup, one 1920x1080 FullHD monitor and one 2560x1440 QHD-Monitor to the left (secondary screen). Just in case this makes a difference ... -- You are receiving this mail bec

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-04 Thread bugzilla_noreply
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #7 from caulier.gil...@gmail.com --- Well i use also, dual screen, and i cannot reproduce the memory consomption in all case. 2 gb is enormous and i use system indicators if a whole memory leak appears while debugging. Which host system do

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-04 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #8 from Jens --- KDE Neon (based on Ubuntu 18.04) with all updates applied. 64bit. I have about 180GB of images and videos, ~33000 files. If you want we can debug this together, using Teamviewer or something. -- You are receiving this mai

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread Maik Qualmann
https://bugs.kde.org/show_bug.cgi?id=402320 Maik Qualmann changed: What|Removed |Added CC||metzping...@gmail.com --- Comment #9 from Maik

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #10 from Jens --- Basically, this started after Linux's OOM killer went on a rampage on my system a few times. I have 8GB of RAM. After the initial shock I started looking more closely and it *always* happened when digikam had been running f

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #11 from Jens --- Anything I can enable using kdebugdialog5 to help track this? -- You are receiving this mail because: You are watching all bug changes.

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread bugzilla_noreply
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #12 from caulier.gil...@gmail.com --- I suspect something about OpenGL and video card driver. Why ? because Face management is relevant of OpenCV library which is... a big puzzle. I know already that OpenCL feature in OpenCV is problematic a

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #13 from Jens --- Will do. For now, I cleaned all databases, started Digikam (~160MB RSS), then looked at a single image (preview) and RSS went up to ~312MB. Just because of a single image. Look at another one, RSS jumps to 512MB. Very stra

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread Maik Qualmann
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #14 from Maik Qualmann --- The memory increases when looking at images is normal. We perform preloading, the next images are already loaded into a QCache. The memory error message from Exiv2 is rather strange. Maik -- You are receiving th

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread Maik Qualmann
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #15 from Maik Qualmann --- Can you provide an image that triggers the "invalid memory allocation request"? Maik -- You are receiving this mail because: You are watching all bug changes.

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread bugzilla_noreply
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #16 from caulier.gil...@gmail.com --- Yes, this is very strange than non of previewer cannot load a JPG thumbnail... it's it ? libjpeg, Exiv2, ffmpeg, qimage. none can load the image contents to render a small preview. This is definitively

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #17 from Jens --- 20180930_161217.jpg is indeed broken - no thumbnail and no preview. I actually didn't notice that at all. So this image is probably not part of the problem. I installed Virtualbox, KDE Neon 18.04 and Digikam appimage and s

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread bugzilla_noreply
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #18 from caulier.gil...@gmail.com --- No. 6.0.0 database include new tables which are incompatible with 5.9.0. Try the same test with a fresh database and 5.9.0. Gilles -- You are receiving this mail because: You are watching all bug chan

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-01-05 Thread Jens
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #19 from Jens --- 5.9 on new user account with clean KDE Neon installation: - after first startup, 370MB - more than 6.0-beta3, actually - after previewing images: 376MB, 400MB, ... up to 531MB - after detecting faces: 514MB Don't get me wr

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-04-01 Thread bugzilla_noreply
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #21 from caulier.gil...@gmail.com --- Jens, I found this opencv topic to disable opencl (GPU) usage with opencv at runtime. https://github.com/opencv/opencv/issues/9852 Typically, there is an env.variable to setup before to run digikam :

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-03-20 Thread bugzilla_noreply
https://bugs.kde.org/show_bug.cgi?id=402320 --- Comment #20 from caulier.gil...@gmail.com --- After 3 weeks of work, i finally completed the compilation of AppImage using Qt 5.11.3 + QWebkit 5.212. New 6.1.0 pre-release AppImage bundle can be found here (64 bits only for the moment) : https://fi

[digikam] [Bug 402320] Memory hole (>1.5GB resident after 2 minutes) when detecting faces

2019-12-23 Thread bugzilla_noreply
https://bugs.kde.org/show_bug.cgi?id=402320 caulier.gil...@gmail.com changed: What|Removed |Added Version Fixed In||7.0.0 Status|REPORTED