In the nvvideoconvert step i changed the format from RGBA to NV12 and it did not immediatly crash - I’m now running a longer test
nvstreammux has compatibility issue with RGBA input, tracking on ticket - DeepStream 5.0.1 nvstreamdemux core dump after RGBA conversion
The ticket are for different environmnets . I have a problem with the Jetson Architecture but RGBA nvvideoconvert worked without problem on Intel.
Ok, @dnewton, how about the test result?
With NV12 instead of RGBA we have been running none stop for 2 days on 4 AGX devices.
Yes, adding “nvvideoconvert ! video/x-raw(memory:NVMM), format=RGBA” to the pipeline before my own element solved the issue.
Thanks a lot!
Not to reopen this issue or anything, but what fixed it for me was changing the memory management to cuda_unified. NVIDIA mentions this in the documentation for pyds.get_nvds_buf_surface:
For x86_64, only CUDA unified memory is supported.
This was achieved by adding these 4 lines in my main function (remember to change it to your specific elements):
mem_type = int(pyds.NVBUF_MEM_CUDA_UNIFIED) nvvidconv.set_property("nvbuf-memory-type", mem_type) streammux.set_property("nvbuf-memory-type", mem_type) nvvidconv1.set_property("nvbuf-memory-type", mem_type)
@anas.majid Thanks, this solved my problem!