Skip to content

Latest commit

 

History

History

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 
 
 

opengl

CONTAINERS IMAGES RUN BUILD

CONTAINERS
opengl
   Requires L4T ['>=32.6']
   Dependencies build-essential
   Dependants 3dgrut:2.0.0 4k4d:0.0.0 audiocraft awq:0.1.0 comfyui cosmos-predict2 cosmos-reason1 cosmos-transfer1 cosmos1-diffusion-renderer:1.0.4 crossformer cuda:12.6-samples cuda:12.8-samples cuda:12.9-samples cuda:13.0-samples deepstream diffusion_policy dli-nano-ai easyvolcap:0.0.0 efficientvit fast_gauss:1.0.0 framepack fruitnerf:1.0 genesis-world:0.2.2 glomap:2.0.0 gsplat:1.5.3 gstreamer hloc:1.4 hloc:1.5 isaac-gr00t isaac-ros:common-3.2-humble-desktop isaac-ros:common-3.2-jazzy-desktop isaac-ros:compression-3.2-humble-desktop isaac-ros:compression-3.2-jazzy-desktop isaac-ros:data-tools-3.2-humble-desktop isaac-ros:data-tools-3.2-jazzy-desktop isaac-ros:dnn-inference-3.2-humble-desktop isaac-ros:dnn-inference-3.2-jazzy-desktop isaac-ros:image-pipeline-3.2-humble-desktop isaac-ros:image-pipeline-3.2-jazzy-desktop isaac-ros:manipulator-3.2-humble-desktop isaac-ros:manipulator-3.2-jazzy-desktop isaac-ros:nitros-3.2-humble-desktop isaac-ros:nitros-3.2-jazzy-desktop isaac-ros:nvblox-3.2-humble-desktop isaac-ros:nvblox-3.2-jazzy-desktop isaac-ros:pose-estimation-3.2-humble-desktop isaac-ros:pose-estimation-3.2-jazzy-desktop isaac-ros:visual-slam-3.2-humble-desktop isaac-ros:visual-slam-3.2-jazzy-desktop jetcam jetson-inference:foxy jetson-inference:galactic jetson-inference:humble jetson-inference:iron jetson-inference:jazzy jetson-inference:main jetson-utils:v1 jetson-utils:v2 kaolin:0.18.0 l4t-diffusion l4t-ml l4t-pytorch l4t-tensorflow:tf1 l4t-tensorflow:tf2 lerobot libcom:0.1.0 lobechat local_llm memvid:0.1.4 mimicgen nano_llm:24.4 nano_llm:24.4-foxy nano_llm:24.4-galactic nano_llm:24.4-humble nano_llm:24.4-iron nano_llm:24.4.1 nano_llm:24.4.1-foxy nano_llm:24.4.1-galactic nano_llm:24.4.1-humble nano_llm:24.4.1-iron nano_llm:24.5 nano_llm:24.5-foxy nano_llm:24.5-galactic nano_llm:24.5-humble nano_llm:24.5-iron nano_llm:24.5.1 nano_llm:24.5.1-foxy nano_llm:24.5.1-galactic nano_llm:24.5.1-humble nano_llm:24.5.1-iron nano_llm:24.6 nano_llm:24.6-foxy nano_llm:24.6-galactic nano_llm:24.6-humble nano_llm:24.6-iron nano_llm:24.7 nano_llm:24.7-foxy nano_llm:24.7-galactic nano_llm:24.7-humble nano_llm:24.7-iron nano_llm:main nano_llm:main-foxy nano_llm:main-galactic nano_llm:main-humble nano_llm:main-iron nanoowl nerfstudio:1.1.7 nerfview:0.1.4 octo open3d:1.19.0 opencv:4.10.0 opencv:4.10.0-meta opencv:4.11.0 opencv:4.11.0-meta opencv:4.12.0 opencv:4.12.0-meta opencv:4.8.1 opencv:4.8.1-deb opencv:4.8.1-meta openpi openvla:mimicgen paraattention:0.4.0 partpacker:0.1.0 pixsfm:1.0 polyscope:2.5.0 protomotions:2.5.0 pyceres:2.5 pycolmap:3.12 pycolmap:3.13 pymeshlab:2023.12.post2 pymeshlab:2023.12.post3 pymeshlab:2025.6.23.dev0 robogen robomimic robopoint robosuite ros:foxy-desktop ros:foxy-ros-base ros:foxy-ros-core ros:galactic-desktop ros:galactic-ros-base ros:galactic-ros-core ros:humble-desktop ros:humble-ros-base ros:humble-ros-core ros:iron-desktop ros:iron-ros-base ros:iron-ros-core ros:jazzy-desktop ros:jazzy-ros-base ros:jazzy-ros-core ros:noetic-desktop ros:noetic-ros-base ros:noetic-ros-core sage-attention:3.0.0 sam sapiens sdnext self-forcing sparc3d:0.1.0 sparge-attention:0.1.0 stable-diffusion-webui sudonim:hf tam video-codec-sdk:12.2.72-samples video-codec-sdk:13.0.19-samples videollama:1.0.0 vila voice-pro voicecraft vpi xattention:0.0.1 zed:5.0 zed:5.0-humble zed:5.0-jazzy zigma:1.0
   Dockerfile Dockerfile
RUN CONTAINER

To start the container, you can use jetson-containers run and autotag, or manually put together a docker run command:

# automatically pull or build a compatible container image
jetson-containers run $(autotag opengl)

# or if using 'docker run' (specify image and mounts/ect)
sudo docker run --runtime nvidia -it --rm --network=host opengl:36.4.0

jetson-containers run forwards arguments to docker run with some defaults added (like --runtime nvidia, mounts a /data cache, and detects devices)
autotag finds a container image that's compatible with your version of JetPack/L4T - either locally, pulled from a registry, or by building it.

To mount your own directories into the container, use the -v or --volume flags:

jetson-containers run -v /path/on/host:/path/in/container $(autotag opengl)

To launch the container running a command, as opposed to an interactive shell:

jetson-containers run $(autotag opengl) my_app --abc xyz

You can pass any options to it that you would to docker run, and it'll print out the full command that it constructs before executing it.

BUILD CONTAINER

If you use autotag as shown above, it'll ask to build the container for you if needed. To manually build it, first do the system setup, then run:

jetson-containers build opengl

The dependencies from above will be built into the container, and it'll be tested during. Run it with --help for build options.