Stuck in Hallo AI World at processing video part Orin Nano

Robotics & Edge Computing Jetson & Embedded Systems Jetson Orin Nano
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Just started to explore examples on Helo AI World. The pictures work fine, then the video streams returned following error (also tried RTSP feed but returned the same):

[gstreamer] gstDecoder – pipeline string:
[gstreamer] filesrc location=jellyfish.mkv ! matroskademux ! queue ! h264parse ! nvv4l2decoder name=decoder enable-max-performance=1 ! video/x-raw(memory:NVMM) ! nvvidconv name=vidconv ! video/x-raw ! appsink name=mysink
[gstreamer] gstDecoder – failed to create pipeline
[gstreamer] (no element “nvv4l2decoder”)
[gstreamer] failed to create decoder pipeline
[gstreamer] gstDecoder – failed to create decoder for file:///jetson-inference/build/aarch64/bin/jellyfish.mkv
Traceback (most recent call last):
File “./imagenet.py”, line 59, in
input = videoSource(args.input, argv=sys.argv)
Exception: jetson.utils – failed to create videoSource device

Software versions:
dustynv/jetson-inference:r35.3.1 L4T R35.3.1 JetPack 5.1.1

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Hi @ai168, on JetPack 5 the GStreamer plugins get mounted from the host by the NVIDIA Container Runtime along with the GPU drivers. You can see what gets mounted under /etc/nvidia-container-runtime/host-files-for-container.d/l4t.csv

...
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvarguscamerasrc.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvcompositor.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvdrmvideosink.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnveglglessink.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnveglstreamsrc.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvegltransform.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvivafilter.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvjpeg.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvtee.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvv4l2camerasrc.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvvidconv.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvvideo4linux2.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvvideosink.so
lib, /usr/lib/aarch64-linux-gnu/gstreamer-1.0/libgstnvvideosinks.so
...

Can you confirm that you see these files (and that they have non-zero size) both inside and outside of container? Are you able to run gst-inspect-1.0 | grep nv outside container and see nvv4l2decoder listed?

1 Like
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Hi @dusty_nv , thanks for replying! I can see all files in and out the container. After running your command I also see the nvv4l2decoder listed.

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I still have the same problem, any other suggestions?
Regards, Peter

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Hi @ai168, sorry for the delay - in that case, are you able to run gst-inspect-1.0 nvv4l2decoder inside the container? How about any gst-launch-1.0 pipelines from the decode examples:

https://docs.nvidia.com/jetson/archives/r36.3/DeveloperGuide/SD/Multimedia/AcceleratedGstreamer.html#video-decode-using-gst-v4l2

If you can use nvv4l2decoder like that inside container, not sure why another application like jetson-inference would not be able to.

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