Error: 3774873620 The buffer was incompletely grabbed.

[DORSA-co]

Error: 3774873620 The buffer was incompletely grabbed.

[SMA2016a]

running all camera in freerun mode?
is PTP enabled?
did you optimize your system as written in pylon README?
what is the pixelformat of the camera
what is the target fps?
did you increase the packet size and interpacket delay as per the error message suggesting?

[DORSA-co]

running all camera in freerun mode? is PTP enabled? did you optimize your system as written in pylon README? what is the pixelformat of the camera what is the target fps? did you increase the packet size and interpacket delay as per the error message suggesting?

hi all camera is on trigger mode Line1.
no i dont enables PTP.
target fps is 8 fps with hardware trigger.
yes my packet size is 8000 and i increase the interpacketdelay.

What do you mean by this question : optimize your system as written in pylon README?

i set these config from my database to all cameras - packetsize : 8000 , interpacketdelay : 26000 , frame transmission delay : 5 group from 0 step 10000 , bandwidth reserve : 40 , bandwidth aqumulation : 5 .

is there any configuration that i should set when i connect to the camera?

and also i use opcua in my network for connect to plc siemens s7-1200.
is it possible my problem caused by that opcua connection ?

also i dont have any error in pylon viewer.

[SMA2016a]

bandwidth reserve : 40 set it to 5.

<What do you mean by this question : optimize your system as written in pylon README?> Thread priority

refer this document:
https://docs.baslerweb.com/network-configuration-(gige-cameras)

[ReyhaneAbtahi]

bandwidth reserve : 40 set it to 5.

<What do you mean by this question : optimize your system as written in pylon README?> Thread priority

refer this document: https://docs.baslerweb.com/network-configuration-(gige-cameras)

@kesaroid did you find any solution or you still need help to setup your system?
Hello,

After numerous efforts, we realized that continuously measuring the GPU temperature using the GPUtil module was leading to this issue. The code we used for this task is as follows:

gpus = GPUtil.getGPUs()
gpu_temp = gpus[0].temperature

After removing this line of code, our error rate significantly reduced.
This occurrence is very strange for us because the above code does not create any network connections and does not add any load on the network. Can you help us figure out why this is happening?

[thiesmoeller]

Switch to use https://pypi.org/project/nvidia-ml-py/

Calling nvidia-smi is querying a lot more than you need