CONTAINERS
video-codec-sdk:12.2.72 |
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|---|---|
| Aliases | nvenc:12.2.72 nvcuvid:12.2.72 cuvid:12.2.72 |
| Requires | L4T ['>=32.6'] |
| Dependencies | build-essential pip_cache:cu126 cuda |
| Dependants | video-codec-sdk:12.2.72-samples |
| Dockerfile | Dockerfile |
| Notes | NVIDIA Video Codec SDK with NVENC and NVCUVID |
video-codec-sdk:12.2.72-samples |
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|---|---|
| Aliases | |
| Requires | L4T ['>=32.6'] |
| Dependencies | build-essential pip_cache:cu126 cuda video-codec-sdk:12.2.72 opengl python cmake llvm vulkan ffmpeg |
| Dockerfile | Dockerfile |
| Notes | NVIDIA Video Codec SDK with NVENC and NVCUVID |
video-codec-sdk:13.0.19-samples |
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|---|---|
| Aliases | video-codec-sdk:samples |
| Requires | L4T ['>=32.6'] |
| Dependencies | build-essential pip_cache:cu126 cuda video-codec-sdk:13.0.19 opengl python cmake llvm vulkan ffmpeg |
| Dockerfile | Dockerfile |
| Notes | NVIDIA Video Codec SDK with NVENC and NVCUVID |
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 video-codec-sdk)
# or if using 'docker run' (specify image and mounts/ect)
sudo docker run --runtime nvidia -it --rm --network=host video-codec-sdk:36.4.0
jetson-containers runforwards arguments todocker runwith some defaults added (like--runtime nvidia, mounts a/datacache, and detects devices)
autotagfinds 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 video-codec-sdk)To launch the container running a command, as opposed to an interactive shell:
jetson-containers run $(autotag video-codec-sdk) my_app --abc xyzYou 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 video-codec-sdkThe dependencies from above will be built into the container, and it'll be tested during. Run it with --help for build options.