I’m trying to receive picture from camera on Jetson Nano. To do this I’m using code like this: import cv2 device = cv2.VideoCapture() pipeline = """ \ nvarguscamerasrc sensor-id=0\ sensor-mode=3 exposuretimerange="100000 80000000" ! \ video/x-raw(memo…

Problem solved. To access camera on Duckiebot DB21M this helped me: Run container with this flags: docker run --privileged -v /var/run/avahi-daemon/socket:/var/run/avahi-daemon/socket -v /tmp/argus_socket:/tmp/argus_socket -v /data:/data --network=host --runtime nvidia -v /tmp/.X11-unix/:/tmp/.X1…

Oh ok got it. Could you please share the output of the following command ? gst-inspect-1.0 regards, Andrew support@proventusnova.com

out.txt (73.8 KB) Output has about 1,5K lines, so here’s file with output of line you’ve provided. There is no anything that contains nvargus

Yes, you are right. You are not only missing nvargus, but all NVIDIA proprietary elements. I will do some research. regards, Andrew support@proventusnova.com

@lelikk2002 What happens if you run this inside and outside the host container: gst-inspect-1.0 | grep nv I was reading this other forum and it seems like the NVIDIA accelerated plugins should be installed on the host device and the Docker container should have access to them: [imag…

audioconvert: audioconvert: Audio converter audiofx: audioinvert: Audio inversion autoconvert: autoconvert: Select converter based on caps autoconvert: autovideoconvert: Select color space converter based on caps bayer: rgb2bayer: RGB to Bayer converter closedcaption: ccconverter: Closed Capti…

Outside I have NVidia soft: omx: nvoverlaysink: OpenMax Video Sink nvvideocuda: videocuda: CUDA Post processor debugutilsbad: errorignore: Convert some GstFlowReturn types into others nvdrmvideosink: nvdrmvideosink: Nvidia Drm Video Sink nvvideosink: nvvideosink: nVidia Video Sink nveglstreams…

Unfortunately solution from topic you’ve mentioned doesn’t help me. If I run export LD_PRELOAD=/lib/aarch64-linux-gnu/libGLdispatch.so.0:/lib/aarch64-linux-gnu/libgomp.so.1 in container and after that run gst-inspect-1.0 | grep nv I’ll receive the same output as I sent before

Thank you for your message. I am using agx orin 64gb jetpack 6 L4T 36.3.0 running the following command jetson-containers run --env HUGGINGFACE_TOKEN=xxxxxxxxxxx $(autotag nano_llm) using my HF TOKEN INSIDE THE CONTAINER gst-inspect-1.0 | grep nv (gst-plugin-scanner:23): GStreamer-WARNING …

I’ve just figured it out. Can it be a problem if I’m using Ubuntu 22.04 as base image in my docker container?

Hello @lelikk2002 , That might be an issue if the Ubuntu version on the host device is different, however, I am not sure. Have you tried using a different ubuntu version? Here are the NVIDIA official Docker instructions: Your First Jetson Container | NVIDIA Developer regards, Andrew support@pro…

How to access camera with Jetson Nano

Robotics & Edge Computing Jetson Systems Jetson Nano

proventusnova July 2, 2024, 3:03pm 21

Interesting,

Check this post, they have a similar error log: Blacklisted GStreamer Plugins after Upgrading to Ubuntu 20.04

regards,
Andrew
support@proventusnova.com

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How to access camera with Jetson Nano

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