You can run DL Workbench by building a Docker image locally.

Run the Docker container with DL Workbench:

docker run -p 127.0.0.1:5665:5665 \
                --name workbench \
                --privileged \
                -v /dev/bus/usb:/dev/bus/usb \
                -v /dev/dri:/dev/dri \
                -e PROXY_HOST_ADDRESS=0.0.0.0 \
                -e PORT=5665 \
                -e no_proxy=<no-proxy> \
                -e http_proxy=<http-proxy> \
                -e https_proxy=<https-proxy> \
                -it openvino/workbench:2019.R2.0.0

This command runs the Docker container named workbench with the following arguments:

Argument	Explanation
`-p 127.0.0.1:5665:5665`	Maps the Docker container port `5665` to the host port `5665` to get access to DL Workbench from a web browser.
`--priveleged`	Enables full container capabilities.
`-v /dev/bus/usb:/dev/bus/usb`	Mounts directory `/dev/bus/usb` to the Docker container and enables the container to use a GPU device in DL Workbench.
`-v /dev/dri:/dev/dri`	Mounts directory `/dev/dri` to the Docker container and enables the container to use a GPU device in DL Workbench.
`-e https_proxy=<https-proxy>` and `-e http_proxy=<http-proxy>`	Optional. If you are behind a corporate proxy, set environment variables.
`-it`	Enables interactive processes in the DL Workbench terminal. Set to the Docker image name `workbench`.

When the command executes, point your browser to https://127.0.0.1:5665 and the DL Workbench Get Started page appears:

You have successfully installed OpenVINO™ DL Workbench. Now you move on to Work with Models and Sample Datasets.