Unexpected memory usage in deepstream-test3

[Amycao]

HAve been through the valgrind doco but no hope - I think the issue is that I’m actually developing directly on the jetson nano and its just too resource constrained to run my app with 4 sources and 4 sinks inside of valgrind.
What is a good development workflow - build on a desktop with GPU first so that you can use the full power of tools like valgrind and then convert to run on the nano later ??

If you have nvidia GPU for desktop, then it would be fine, or you can lower the sources and sinks.

[weiweifu]

Hi I face the same problem and using 4.0.2 now. Does 5.0 solve this problem? Thanks!

[Amycao]

mem leak issue fixed in 5.0, you may upgrate to new version to give a try.

[nareshmungpara]

Hi there,

We are using the Deepstream 5.1 and facing the same memory leak issue.
For RTSP stream memory usage is increasing rapidly and in video is little slow but in both it is continuously increasing.

We are using Jetson Nano and we are doing testing on deepstream_imagedata_multistream.py

Regards,
Naresh

[kayccc]

Hi nareshmungpara,

Please help to open a new topic for your issue.

Thanks