Sorry, you need to enable JavaScript to visit this website.

Getting Started with Open Visual Cloud Dockerfiles

Please visit the Dockerfile Github Wiki for the full library of Dockerfile technical documentation.
 
On this page you will find information on Docker* and using Dockerfiles. The Dockerfiles will help you create container server images with the open source building blocks and best known configurations to spin up a server that is a ready made development environment to start evaluating and building apps and services for the visual cloud.

What is Docker and Dockerfiles?

Docker is an application that makes it simple and easy to run application processes in a container. Dockerfiles build server images automatically by reading instructions - a text file that contains all commands, in order, needed to build a given image. An image is an executable package that includes everything needed to run an application - the code, a runtime, libraries, environment variables, and configuration files.

In the case of the Open Visual Cloud, a Dockerfile builds an image configuring all the open source building blocks needed to construct a services pipeline. For example, the FFmpeg Dockerfile contains commands to install, build, and run a FFmpeg image optimized with Scalable Video Technology (SVT). The Dockerfile installs a variety of codecs like aac, mp3, SVT-AV1. Without using a Dockerfile, these install, build, and run commands would have to be entered into the command line manually. Now, just by loading a single Dockerfile, a server image optimized for visual cloud services can be created simply.

How to Install Docker and run an Open Visual Cloud Dockerfile

Install Docker Community Edition (CE):

Follow the instructions to install Docer CE.
 

Set up Docker proxy:

If you are behind a firewall, set up proxy as follows:
(1) sudo mkdir -p /etc/systemd/system/docker.service.d    
(2) printf "[Service]\nEnvironment=\"HTTPS_PROXY=$https_proxy\" \"NO_PROXY=$no_proxy\"\n" | sudo tee /etc/systemd/system/docker.service.d/proxy.conf    
(3) sudo systemctl daemon-reload     
(4) sudo systemctl restart docker

Build Docker image(s):

(1) mkdir build    
(2) cd build     
(3) cmake ..    
(4) cd Xeon/ubuntu-16.04/ffmpeg # please build your specific <_platform_>/<_OS_>/<_image_> only as a full build takes a long time.     
(5) make # build on the target processor for best performance.    
(6) ctest

Run shell:

Xeon/ubuntu-16.04/ffmpeg/shell.sh #<_platform_>/<_OS_>/<_image_>

Customize:

You can modify any Dockerfile.m4 template for customization.
For example, uncomment #include(transform360.m4) in Xeon/ubuntu-16.04/ffmpeg/Dockerfile.m4 to add essential 360 video transformation in the FFmpeg build.
After modification, rerun cmake and make.
 

Use alternative repo:

Certain source repositories might be blocked in certain network configurations. If this is the case, you can specify alternative repositories before issuing the build command as follows: 
export AOM_REPO=...       
export VPX_REPO=...     
make

For a list of all REPOs and their versions, run the following command:

grep -E '_(REPO|VER)=' template/*.m4

Use Dockerfile(s) in other projects:

We recommend that you copy the Dockerfile(s) of your platform, OS, and image directly into your project. The following shell scripts show how to sync (if needed) and build the NGINX+RTMP Dockerfile (and its dependency FFmpeg):
 
update.sh:
DOCKER_REPO=${DOCKER_REPO="https://raw.githubusercontent.com/OpenVisualCloud/Dockerfiles/master/Xeon/ubuntu-18.04"}    
(echo "# xeon-ubuntu1804-ffmpeg" && curl ${DOCKER_REPO}/ffmpeg/Dockerfile) > Dockerfile.2    
(echo "# xeon-ubuntu1804-nginx-rtmp" && curl ${DOCKER_REPO}/nginx+rtmp/Dockerfile) > Dockerfile.1

build.sh:

for dep in .2 .1; do   
    image=$(grep -m1 '#' "Dockerfile$dep" | cut -d' ' -f2)   
    sudo docker build --network=host --file="Dockerfile$dep" -t "$image:latest" . $(env | grep -E '_(proxy)=' | sed 's/^/--build-arg /')   
done

Next Steps

To view the available Open Visual Cloud reference pipeline Docker files, choose from the menu on the left. 

Further information can be found at the Open Visual Cloud Dockerfiles GitHub Repo.

Project: 
Open Visual Cloud