| Summary: | Crash while converting RAW (Canon cr2) files (V 7 Beta 2) | ||
|---|---|---|---|
| Product: | [Applications] digikam | Reporter: | Nigel Aves <nigel.aves> |
| Component: | BatchQueueManager-RAWProcessing | Assignee: | Digikam Developers <digikam-bugs-null> |
| Status: | RESOLVED FIXED | ||
| Severity: | crash | CC: | caulier.gilles, metzpinguin |
| Priority: | NOR | ||
| Version First Reported In: | 7.0.0 | ||
| Target Milestone: | --- | ||
| Platform: | Other | ||
| OS: | Linux | ||
| Latest Commit: | Version Fixed In: | 7.5.0 | |
| Sentry Crash Report: | |||
You run the AppImage. From the console, pass "debug" as argument. This will start digiKam in debugger. When it crash you will get a prompt, where just entry "bt" for backtrace. For info is given here : https://www.digikam.org/contribute/ Gilles Caulier Do you use all processor cores in BQM? It is possible that you are running out of memory. Maik Here is the trace-back. I will now run it with "multi-core" turned off, so Yes, I was using it. Interesting though. The first time I ran this with "debug" it worked all the way through 193 photographs. The 2nd time it crashed before processing a single photograph. I have 32 GB of memory / AMD Ryzen 7. Trace back .... Thread 1209 "Thread (pooled)" received signal SIGSEGV, Segmentation fault. [Switching to Thread 0x7fff627fc700 (LWP 30627)] 0x00007ffff779313d in Digikam::WBFilter::adjustWhiteBalance(unsigned char*, int, int, bool) () from /tmp/.mount_digikaMSxxwt/usr/lib/libdigikamcore.so.7.0.0 (gdb) bt #0 0x00007ffff779313d in Digikam::WBFilter::adjustWhiteBalance(unsigned char*, int, int, bool) () from /tmp/.mount_digikaMSxxwt/usr/lib/libdigikamcore.so.7.0.0 #1 0x00007ffff7793878 in Digikam::WBFilter::filterImage() () from /tmp/.mount_digikaMSxxwt/usr/lib/libdigikamcore.so.7.0.0 #2 0x00007ffff772a858 in Digikam::AutoExpoFilter::filterImage() () from /tmp/.mount_digikaMSxxwt/usr/lib/libdigikamcore.so.7.0.0 #3 0x00007ffff76d9968 in Digikam::DImgThreadedFilter::startFilterDirectly() () from /tmp/.mount_digikaMSxxwt/usr/lib/libdigikamcore.so.7.0.0 #4 0x00007ffff6e7c767 in Digikam::BatchTool::applyFilter(Digikam::DImgThreadedFilter*) () from /tmp/.mount_digikaMSxxwt/usr/lib/libdigikamgui.so.7.0.0 #5 0x00007fffc8451038 in ?? () from /tmp/.mount_digikaMSxxwt/usr/plugins/digikam/bqm/Bqm_AutoCorrection_Plugin.so #6 0x00007ffff6e7d8b4 in Digikam::BatchTool::apply() () from /tmp/.mount_digikaMSxxwt/usr/lib/libdigikamgui.so.7.0.0 #7 0x00007ffff6e7a27d in Digikam::Task::run() () from /tmp/.mount_digikaMSxxwt/usr/lib/libdigikamgui.so.7.0.0 #8 0x00007ffff42f2f47 in ?? () from /tmp/.mount_digikaMSxxwt/usr/lib/libQt5Core.so.5 #9 0x00007ffff42ef4f5 in ?? () from /tmp/.mount_digikaMSxxwt/usr/lib/libQt5Core.so.5 #10 0x00007ffff3c8b669 in start_thread (arg=<optimized out>) at pthread_create.c:479 #11 0x00007ffff3bb3323 in clone () at ../sysdeps/unix/sysv/linux/x86_64/clone.S:95 Git commit 57fb0c388c1fc185f77685a7fb4634e59d6b0692 by Maik Qualmann. Committed on 20/02/2020 at 19:26. Pushed by mqualmann into branch 'master'. add test debug output M +2 -0 core/libs/dimg/filters/wb/wbfilter.cpp https://invent.kde.org/kde/digikam/commit/57fb0c388c1fc185f77685a7fb4634e59d6b0692 Hi, Can you check if this problem still exist with last weekly bundle build of digiKam 7.0.0 available here: https://files.kde.org/digikam/ Thanks in advance Gilles Caulier digiKam 7.0.0 stable release is now published: https://www.digikam.org/news/2020-07-19-7.0.0_release_announcement/ We need a fresh feedback on this file using this version. Thanks in advance Gilles Caulier digiKam 7.2.0 official release is published with more than 360 files closed from bugzilla: https://www.digikam.org/news/2021-03-22-7.2.0_release_announcement/ Can you reproduce the dysfunction with this version ? Thanks in advance for your feedback Gilles Caulier Nigel, Stable digiKam 7.4.0 is published. Please check if problem is reproducible. https://www.digikam.org/download/ Thanks in advance No feedback. not reproducible with 7.5.0. Closed |
SUMMARY digiKam version 7 Beta 2 If I select one or two RAW images for processing all works OK. But after getting the "queue" setup, I selected approx 100 RAW images for processing. These were created on a Canon 5Ds (8688x5792 pixels - 58 Meg file size) Sometimes it has processed approx 50 photographs before crashing, last run only 8 or 9. Here is the output from the terminal. I don't know where there is a core dump to send you (sorry, I'm very new to Linux on a desktop.) Digikam::WBFilter::autoExposureAdjustement: Black: 0.0722656 Exposition: 0.00564656 Digikam::WBFilter::filterImage: T(K): 6500 => R: 1.00223 G: 1.00574 B: 1.0221 BP: 18 WP: 255 Digikam::Task::run: Tool : index= 2 :: name= "WhiteBalance" :: group= 2 :: wurl= QUrl("file:///home/nigel/Pictures/processed/") Digikam::BatchTool::setOutputUrlFromInputUrl: path: "/home/nigel/Pictures/processed/BatchTool-rwYChM-7f1526b7.digikamtempfile.CR2" Digikam::BatchTool::apply: Tool: "" Digikam::BatchTool::apply: Input url: QUrl("file:///home/nigel/Pictures/processed/BatchTool-fGSEWK-f099884a.digikamtempfile.CR2") Digikam::BatchTool::apply: Output url: QUrl("file:///home/nigel/Pictures/processed/BatchTool-rwYChM-7f1526b7.digikamtempfile.CR2") Digikam::WBFilter::autoExposureAdjustement: White level at: 229 Digikam::WBFilter::autoExposureAdjustement: Black: 0.0136719 Exposition: 0.15451 Digikam::WBFilter::filterImage: T(K): 6500 => R: 1.00223 G: 1.00574 B: 1.0221 BP: 3 WP: 230 /tmp/.mount_digikaY7c989/AppRun: line 155: 22479 Segmentation fault (core dumped) digikam $@ STEPS TO REPRODUCE Assigned tools Color Auto-correction White Balance Anti-Vignetting Sharpen Image Film Grain Add Watermark (using text) Resize Convert to JPEG OBSERVED RESULT Must have a moth shorting out my back-plane! EXPECTED RESULT SOFTWARE/OS VERSIONS Linux version 5.3.0-40-generic (buildd@lcy01-amd64-026) (gcc version 9.2.1 20191008) #32-Ubuntu SMP Fri Jan 31 20:24:34 UTC 2020 (Ubuntu 5.3.0-40.32-generic 5.3.18) KDE Frameworks 5.65.0 Qt 5.14.0 (built against 5.14.0) The xcb windowing system ADDITIONAL INFORMATION If there is anything I can do my end to help, please let me know. More than happy to help.