Have the Intel drivers up and running on your host.Run the container with the device attached /dev/dri from your host into the container :ĭocker run -device /dev/dri:/dev/dri -v $(pwd):$(pwd) -w $(pwd) jrottenberg/ffmpeg:4.4-vaapi.You can install the latest build of this image by running docker pull jrottenberg/ffmpeg:$-vaapi It compiles FFmpeg from sources following instructions from the Compilation Guide. The base container, based on the xychelsea/anaconda3:latest-gpu from the Anaconda 3 container stack ( xychelsea/anaconda3:latest) running Tini shell.This project prepares a minimalist Docker image with FFmpeg. Two flavors provide an NVIDIA GPU-enabled container with TensorFlow pre-installed through Anaconda. An additional flavor of this container provides Jupyter Notebooks tags. The default user, anaconda runs a Tini shell /usr/bin/tini, and comes preloaded with the conda command in the environment $PATH. This container allows you to create custom Anaconda environments through the conda command with a lightweight version of Anaconda (Miniconda) and the conda-forge repository in the /usr/local/anaconda directory. under a wide variety of build environments, machine architectures, and configurations.Īnaconda is an open data science platform based on Python 3. It is also highly portable: FFmpeg compiles, runs, and passes our testing infrastructure FATE across Linux, Mac OS X, Microsoft Windows, the BSDs, Solaris, etc.
No matter if they were designed by some standards committee, the community or a corporation. It supports the most obscure ancient formats up to the cutting edge. FFmpeg with NVIDIA/CUDA supportįFmpeg is the leading multimedia framework, able to decode, encode, transcode, mux, demux, stream, filter and play pretty much anything that humans and machines have created. Provides an NVIDIA GPU-enabled container with FFmpeg pre-installed on an Anaconda container xychelsea/ffmpeg-nvidia:latest, and optional Jupyter Notebooks container xychelsea/ffmpeg:latest-jupyter. FFMPEG NVIDIA/CUDA GPU-enabled Docker Container
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