• Hardware Platform (Jetson / GPU) Jetson
• DeepStream Version 6.2
• JetPack Version (valid for Jetson only) 5.1.1
• TensorRT Version 220.127.116.11
• Issue Type( questions, new requirements, bugs) Questions
Hi, I’m using the test.py example to test an app based on deepstream_nvdsanalytics. I have the following questions. I would like to build on test2, i.e. end-to-end testing of my application.
-Should I modify the pipeline_fakesink_tracker class to accept multiple video streams?
-Also, should I add reading the config_nvdsanalycs.py configuration file?
-Maybe there is something already developed?
Thanks a lot for the help!
deepstream_nvdsanalytics.py support multiple video streams as input.
Track and analyze independently in each video stream
Can you share example code and config file ？
Do you mean add a function like
test_nvdsanalytics in test.py. then use pytest for automated test？
Depends on the usage scenario
Yes，you can use same configure file for test
In the end I have generated a test that checks the application thanks to the console output, taking advantage of the fact that in each nvdsanalytics event I print on screen the frame and the object.
So, I have solved it this way and for now, it is valid for me.
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