Please provide complete information as applicable to your setup.
• Hardware Platform Jetson • DeepStream Version 6.0 • JetPack Version 4.6 • TensorRT Version 188.8.131.52 • Issue Type( bugs) • How to reproduce the issue? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
I am trying to test a custom DetectNet_v2 retrained using TAO SDK on the deepstream-test3 app with python. When using with the pre-set model, it works, but when using my model it fails with core dumped error.
I tried converting the model using both trt-converter and passing the raw .etlt to the pipeline. Both failed.
Am attaching the config files plus the .etlt model for the reproduction of the error.
from the log , the TRT engine - vcellphoneNet_v1.etlt_b1_gpu0_fp16.engin has been generated successfully, I don’t think it’s caused by the tlt model.
But, it’s “Segmentation fault (core dumped)” at last, could you use “gdb --args …” to run your app and capture the backtrace for more clues?
Never used gbd before, so let me know if this is what you meant.
gdb --args python3 deepstream_test_3.py rtsp://admin:email@example.com/Streaming/Channels/1
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Reading symbols from python3...(no debugging symbols found)...done.
What made me think of the model to be the problem is that if I use the pre-defined model (primary detector) the pipeline works as usual.