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Do you know that EII becomes slower when using a basler camera?
I am testing the basic version of EII 4.1.0 by connecting a Basler camera.
It is being tested on EII4.1.0.
After a day, camera frame capture becomes extremely slow.
After about 2 days, the performance becomes so bad that it is unusable.
Are you aware of this slowing down phenomenon??
Of course, we also did a comparison test with Logitech's USB camera.
However, the same phenomenon occurred.
If you did know, what is the solution??
I'm not sure what to do if a system keeps slowing down.
Thanks in advance.
BR,
Louis
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- EII
- USB Camera
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This seems to be related to your other issue. I will close this thread and we can continue support on your other thread (below) as it's been escalated to the development team.
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Hi Louis,
Thanks for reaching out, could you please let me know what use case you are running? Additionally, could you provide the hardware specification of the system running EII?
Please also check docker logs <container_name> for any errors/warnings.
Regards,
Jesus
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The device I used and use case are as follows.
- use case is video-streaming-evam.yml
- Device Name: DESKTOP-EQDD9Q8
- Processor: 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz 2.80 GHz
- Installed RAM: 8.00GB (7.68GB usable)
- System Type: 64-bit operating system, x64-based processor
Thanks,
Jesus
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Hi Louis,
What type of Basler camera are you using? Could you share the camera model and the complete pipeline that you are using?
If you are using a USB Basler camera, can you check the USBFS limit on the system and increate to 1000MB?
In the pipeline, could you try to increate throughput value and decrease exposure-time?
Refer to the following pipeline example:
gencamsrc serial=<DEVICE_SERIAL_NUMBER> pixel-format=ycbcr422_8 width=1920 height=1080 exposure-time=5000 exposure-mode=timed exposure-auto=off throughput-limit=300000000 name=source ! videoconvert ! video/x-raw,format=BGR ! appsink name=destination
Regards,
Jesus
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We are using the Basler aceacA1440-220uc model.
We tested by adjusting the throughput value and decrease exposure-time, but the system continued to slow down.
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This seems to be related to your other issue. I will close this thread and we can continue support on your other thread (below) as it's been escalated to the development team.
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