Hardware Platform : GPU
DeepStream Version 6.2
TensorRT Version 530.41.03
NVIDIA GPU Driver Version 535.54.03
Issue Type:
Currently I am trying to run the 3rd usecase in the documentation for the gst_nvmetautilselement
I am coming to an issue in that the nvstreammux element only has caps for video/x-raw(memory:NVMM) for its sink.
In the usecase the caps of the element before is “audio/x-raw, rate=(int)44100”. How would this pipeline possibly work. The nvstreammux element needs to have the ability to accept audio because as of right now the nvstreammux does not have any way to deal with the audio. Is there another way this can be done?
I believe that by using the USE_NEW_NVSTREAMMUX environment variable and setting it to yes should allow you to use the new mux however when I use the gst-inspect-1.0 command on nvstreammux i get the following:
#0 0x00007fffddedc133 in () at /lib64/gstreamer-1.0/deepstream/libnvdsgst_inferaudio.so #1 0x00007fffddebe7eb in () at ///opt/nvidia/deepstream/deepstream-6.2/lib/libnvdsgst_inferbase.so #2 0x00007ffff769e9d0 in gst_base_transform_chain
(pad=pad@entry=0x555555ef8b40 [GstPad|sink], parent=parent@entry=0x555555ef8500 [GstObject|audio_classifier], buffer=buffer@entry=0x7fff40001100 [None])
at …/libs/gst/base/gstbasetransform.c:2348 #3 0x00007ffff7b43a1c in gst_pad_chain_data_unchecked (pad=pad@entry=0x555555ef8b40 [GstPad|sink], type=type@entry=4112, data=data@entry=0x7fff40001100)
at …/gst/gstpad.c:4463 #4 0x00007ffff7b447ae in gst_pad_push_data (pad=pad@entry=0x555555b7e2b0 [GstPad|src], type=type@entry=4112, data=data@entry=0x7fff40001100) at …/gst/gstpad.c:4739 #5 0x00007ffff7b44de4 in gst_pad_push (pad=0x555555b7e2b0 [GstPad|src], buffer=buffer@entry=0x7fff40001100 [None]) at …/gst/gstpad.c:4858 #6 0x00007fffddf33ea9 in gst_queue_push_one (queue=0x555555b7d900 [GstQueue|classifier_queue]) at …/plugins/elements/gstqueue.c:1388 #7 gst_queue_loop (pad=) at …/plugins/elements/gstqueue.c:1541 #8 0x00007ffff7b7dee4 in gst_task_func (task=0x55558e6ca820 [GstTask|classifier_queue:src]) at …/gst/gsttask.c:384 #9 0x00007ffff79f3fb2 in g_thread_pool_thread_proxy (data=) at …/glib/gthreadpool.c:350 #10 0x00007ffff79f1893 in g_thread_proxy (data=0x7fffbc0010d0) at …/glib/gthread.c:831 #11 0x00007ffff7815907 in start_thread (arg=) at pthread_create.c:444 #12 0x00007ffff789b870 in clone3 () at …/sysdeps/unix/sysv/linux/x86_64/clone3.S:81
It’s weird that it works well on my T4 with DeepStream 6.2. Could you compare the version of the dependent software on your platform with our official recommended version? dGPU model Platform and OS Compatibility.
Can you provide a detailed description of the steps you took to run our demo?
which is the equivalent of the demo with the only difference being the source is an actual source provided in the deepstream-6.2 installation. /opt/nvidia/deepstream/deepstream6.2/sources/apps/audio_apps/deepstream_asr_tts_app/streams/1272-135031-0000.wav
I use your gst-lunch-1.0 cli and the demo app below:
$ cd /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-audio/configs/
$ deepstream-audio -c ds_audio_sonyc_test_config.txt
They both work normally. Are there any personal changes or library replacements in your environment? You can try to use our docker to test that: nvcr.io/nvidia/deepstream:6.2-triton
This is not a link to a webpage, this is a docker link. You can refer to the link: Docker Containers to learn how to use docker. It is more convenient to recovery the status.
You can also reconfirm some of your software versions, like CUDA, RensorRT… It needs to be completely consistent with the version we provide. dGPU model Platform and OS Compatibility: Ubuntu 20.04, CUDA 11.8, TRT 8.5.2.2, Driver R525.85.12.
There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks
This is just a demonstration of how to configure multiple sources. You can configure that according to your own needs.