Please provide complete information as applicable to your setup. **• Orin AGX 64GB **• Deepstream 6.2 **• Jetpack 5.1.1-b56 **• Question / bug(?) Hi! I’m getting PosixMemMap:84 mmap failed : Cannot allocate memory errors after running the pipeline for some time. The script has an auto-restar…

The identity plugin might not work for this. If you don’t want to upgrade DeepStream version, could you just try to add the nvvideoconvert plugin and set a different color format for it? If you set a different color format, the nvvideoconvert will not pass-through either.

OK, will check thx, might it be related to these warnings?: nvidia@tegra-ubuntu:/opt/nvidia/deepstream/deepstream-6.2/sources/deepstream_python_apps-1.1.6/apps/deepstream-imagedata-multistream$ python3 deepstreamv3.py http://169.254.1.222:8080/img WebSocket server started on ws://0.0.0.0:5001 Ser…

I accidentally found through the service that is running deepstream that it grows from like 500MB to over 8GB. But as I said, the same pipeline runs fine on a device with different jetpack version. I’m not sure where the memory leak is coming from. I’m not saving any video in this test (the path is…

The mentioned python script for monitoring does not show any differences across time: nvidia@tegra-ubuntu:/home/customer/Downloads$ sudo python3 nvmemstat.py -p 63884 PID: 69966 10:02:48 Total used hardware memory: 2366296K hardware memory: 0.0000 KiB VmSize: 12.2969 MiB VmRSS: 3.6914 MiB RssFi…

[image] ben93_kiefer: deepstream-imagedata.service Could you attach your service file? You can start by checking what kind of memory is being monitored by this script.

This is the service file: nvidia@tegra-ubuntu:~$ cat /etc/systemd/system/deepstream-imagedata.service [Unit] Description=DeepStream Image Data Multistream Service After=network.target [Service] ExecStart=/usr/bin/python3 /opt/nvidia/deepstream/deepstream-6.2/sources/deepstream_python_apps-1.1.…

I implemented the workaround and it works, but only for the non-recording branch. For the mode where I’m recording as well, it has a tee element and then the whole pipeline halts. I don’t have this issue with just nvjpegenc natively. I think I need to be consistent in both branches when it comes to…

Could you try to add nvvideoconvert plugin after the tee plugin and set the disable-passthrough to 1?

Yes, thanks I did, but maybe this does not exist in my Deepstream version? I’m getting Error occurred object of type Gstnvvideoconvert’ does not have property disable-passthrough' I created it like this: if recording: # Add nvvideoconvert after the tee element for the recordi…

I also tried playing around with a identity elements to explicitly enforce different copies, but it was still hanging as well… # Add identity elements to force buffer copy identity1 = Gst.ElementFactory.make("identity", "identity1") identity1.set_prop…

PosixMemMap:84 mmap failed - Segmentation fault

Accelerated Computing Intelligent Video Analytics DeepStream SDK

yuweiw September 20, 2024, 11:24am 3

Could you refer to our FAQ to check if there is a memory leak issue? Just from your log, it looks like out of memory.

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PosixMemMap:84 mmap failed - Segmentation fault

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