adnrv/opencv repository overview

⁠Dockerised OpenCV

A dockerised version of OpenCV with everything you need to compile and test OpenCV-based applications. This image is built automatically using GitLab⁠ and pushed into a public docker hub repo⁠.

⁠Execute scripts

The following script will execute the scripts /script/to/run; /or/set/of/them as if they were run on your machine.

In order to see what is going inside the docker we need to sync the displays with --env DISPLAY=$DISPLAY --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw".

Also, we will share the source code directories -v=$(pwd)/..:$(pwd)/.. (this assumes you are doing an out-of-source build and you have a parent directory with the build and src as children). And we set the current directory as our working directory -w=$(pwd).

docker run -it --rm \
  --env DISPLAY=$DISPLAY --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" \
  -v=$(pwd)/..:$(pwd)/.. -w=$(pwd) \
  adnrv/opencv \
  /script/to/run; /or/set/of/them

⁠Build applications

Note that you can build applications using the same principle as above. You only need to replace the set of instructions with the make directives.

⁠Build the image locally

You can build the image locally by executing the Dockerfile

docker build -t opencv .

This will create an image named opencv that you can execute using the version within the dockerfile. However, you can specify the OpenCV version by passing a build argument into the command

docker build --build-arg CV_VER=<NUM> -t opencv .

where <NUM> stands for the version number of OpenCV you want to build.