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memory grows unbounded during calibration #112
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This seems close to #97 , which version do you use ? |
I'm on 1.12.11. On Sat, Nov 22, 2014 at 6:42 AM, Vincent Rabaud notifications@github.com
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wait, so you don't see the images during calibration ? Only once done, are all the images that were used for calibration being displayed ? Under Python 2 ? |
It is python2, yes. On Sun, Dec 14, 2014 at 7:40 PM, Vincent Rabaud notifications@github.com
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which OS ? Are you on GNOME or KDE ? |
KDE On Sun, Dec 14, 2014 at 8:48 PM, Vincent Rabaud notifications@github.com
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can you please try master ? Thx |
Hi, On Sun, Dec 21, 2014 at 5:27 PM, Vincent Rabaud notifications@github.com
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ok, could you please try to increase the value of 6ms to 10, 20 or 30 here: |
can you please give more info ? OS, camera. I really cannot reproduce that on 3 versions of Kubuntu ... |
I'm on ArchLinux, have tried with pointgrey firefly mv cameras (using On Sun, Feb 15, 2015 at 11:19 AM, Vincent Rabaud notifications@github.com
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which version of KDE ? I tried the latest 4 and 5. |
Ok, I will try that as well at work, where I can try this. I'll let you know any results. On Sun, Feb 15, 2015 at 11:24 AM, Vincent Rabaud notifications@github.com
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btw, do you have a custom version of OpenCV in /usr/local or somewhere else ? |
No, stock opencv from archlinux. On Sun, Mar 15, 2015 at 12:39 PM, Vincent Rabaud notifications@github.com
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I'm seeing the same issue. From looking at the code it seems like it's basically the queue growing towards infinity. Best solution would be add a parameter that specifies how large the queue can grow before it just starts removing old images. |
can anybody please try master on indigo and let us know if that now works ? Thx |
ok, I'll asume it's fixed in master. |
I have a problem where, during calibration, memory usage increases very fast. If I manage to avoid receiving a segmentation fault do to excessive memory usage, I see that after calibration process ends, the calibration window displays all past images captured during the calibration process.
I've looked at the code and I've seen that images are queued and I think the queue has no limit. I wonder if this is the cause. If so, the queuing should be stopped before starting calibration to avoid this problem.
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