Intel® DevCloud Container Playground

Developer Guide

  • BETA
  • 04/06/2022
  • Public Content
Contents

Run OpenVINO™ notebooks

Your JupyterLab workspace comes installed with OpenVINO™ dependencies accessible in notebooks. Use this development environment to ensure code containing any openvino api runs. For any performance evaluations please see Test Containers.

Navigate to CLI

Use the top navigation menu to access the
Coding Environment
 to open the JupyterLab interface in a new browser tab. Use the
+
 button from the jupyterlab file browser to open a
Terminal
 from the Launcher.
If you not able to access the JupyterLab interface, make sure to
Allow Pop-ups
 in your browser.

Open the OpenVINO™ notebooks Menu

Use the top menu to see the list of notebooks supported and select a sample to open a notebook in a new tab inside the JupyterLab interface.

Configure and run notebooks

Make sure a valid
OpenVINO
 kernel is selected on the top right corner of the Jupyter* Notebook and run each cell individually with
SHIFT+ENTER
 or use
Run > Run All Cells
 option from the menu in the top-left hand side of your jupyterlab* instance.
Using the above mechanism you can try out other notebooks from the
openvino_notebooks
 repository to get familiar with OpenVINO™ api.
  • Your active Jupyterlab instance can be used for upto
    2 hours
     before a relaunch is required by clicking
    Coding Environment
    .
  • Only the Notebooks listed on the menu are officially supported.
  • Additonally, OpenVINO™ developer utilities can be accessed using
    !omz_downloader --print_all
    , see the openvino-dev python package for more info.

Product and Performance Information

1

Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.