To run yolo5s on my jetson nano, When I run by the command:
deepstream-app -c deepstream_app_config.txt
I get result around 8.5 FPS
and when I try using binding in python I get very slow result I can’t understand why? of course I need to mention that I new with deepstream I learn this only this week and using python binding can very help me to my goals.
I add to short videos of the result I would be happy to any help thank you :)
Hi first thank you to reply, I didn’t understand how you see in the screenshot 8 fps maybe I miss something but in general, what I mean is that you can see that the video run more slowly on the screen when I use python binding, In addition, you can see in the video that I get in the terminal the message There may be timestamping problem or this computer is to slow. and pay attention to NVDEC there are different between videos.
When I run yolo with the configuration: config_infer_primary_yoloV5.txt (629 Bytes)
I don’t get parsing problem but my yolo run very slow like you see in the short video.
note that the parser error is: Could not find group property
There is some log or something that I can add to the original code to understand where is the parsing problem?
I control my jetson nano with remote ssh using pycharm and try to debug the problem but still can’t figure out what happened I came to the line code pgie.set_property('config-file-path', "deepstream_app_config_yoloV5_check.txt")
and just get the error parsing it’s difficult to understand where it falls and I try to compare it to another deepstream-config.txt it seems to me ok.