Open w4sten opened 11 months ago
Hi @w4sten, are you able to reproduce this issue with your gstreamer pipeline in the l4t-jetpack base container?
If so, you may want to post this to the Jetson forums so we can take a look at what additional mounts or drivers may needed in the container for DRM.
Hello @dusty-nv,
thanks for your hint.
According to the current status, the error also occurs with the base container. I have already written a post in the forum https://forums.developer.nvidia.com/t/jetson-inference-could-not-open-drm-module-null-gstreamer-5-10-104-tegra/276491 .
As an addition to the previous post: I start both containers with -v /lib/modules/5.10.104-tegra:/lib/modules/5.10.104-tegra to avoid getting modprobe errors. I got the info according to your comment from https://github.com/dusty-nv/jetson-inference/issues/1556.
Thanks again for the help. I hope to solve the problem via the nvidia forum.
GST_DEBUG=3 gst-launch-1.0 v4l2src device=/dev/video0 ! video/x-raw,width=1280,height=720,format=UYVY ! videoconvert ! autovideosink -v the above code actually works! however I couldn't get the stream through video-viewer, or VideoSource API? Can anyone help me with this issue?
Hello everyone,
I am using the jetson inference repo with the Neousys Technology NRU-110V. To map ROS functionalities, I have flashed the system to Jetpack 5.1 according to the manufacturer’s instructions. As an example pipeline, I use the following gstreamer instructions outside the Docker container:
GST_DEBUG=3 gst-launch-1.0 v4l2src device=/dev/video0 ! video/x-raw,width=1280,height=720,format=UYVY ! autovideosink
Outside the container, the pipeline works without errors. As soon as I want to run the pipeline inside the container (dustynv/jetson-inference:r35.2.1 | L4T R35.2.1 | JetPack 5.1 [dustynv/jetson-inference:r35.2.1] L4T R35.2.1 JetPack 5.1), I get the following error message:
I have already been able to narrow down the cause field to possibly missing authorizations or unrecognized DRM drivers via other posts. My goal is ultimately to use the functionalities of the repository, but these give me similar error messages. Therefore, the basic gstreamer pipeline should run first.
Here is my info from jtop. I did not install the missing libraries due to limited memory space. The nvidia docker container toolkit is installed. If further information is required, I will be happy to provide it:
I'am grateful for any help. Thanks a lot.