OpenVINO™ Notebooks

A collection of ready-to-run Jupyter* notebooks for learning and experimenting with the OpenVINO™ Toolkit. The notebooks provide an introduction to OpenVINO basics and teach developers how to leverage our API for optimized deep learning inference.

Getting Started

Brief tutorials that demonstrate how to use OpenVINO's Python API for inference.

Notebook Description Preview
Classify an image with OpenVINO
Learn the OpenVINO Python API
Semantic segmentation with OpenVINO

Convert & Optimize

Tutorials that explain how to optimize and quantize models with OpenVINO tools.

Notebook Description Preview
Convert TensorFlow models to OpenVINO IR
Convert PyTorch models to OpenVINO IR
Convert PaddlePaddle models to OpenVINO IR
Download, convert and benchmark models from Open Model Zoo
105-language-quantize-bert Optimize and quantize a pre-trained BERT model

Model Demos

Demos that demonstrate inference on a particular model.

Notebook Description Preview
Monocular depth estimation with images and video
Upscale raw images with a super resolution model
Turn 360p into 1080p video using a super resolution model
Remove and replace the background in an image using salient object detection
Turn an image into anime using a GAN

Model Training

Tutorials that include code to train neural networks.

Notebook Description Preview
301-tensorflow-training-openvino Train a flower classification model from TensorFlow, then convert to OpenVINO IR
301-tensorflow-training-openvino-pot Use Post-training Optimization Tool (POT) to quantize the flowers model

⚙️ System Requirements

The notebooks run almost anywhere — your laptop, a cloud VM, or even a Docker container. The table below lists the supported operating systems and Python versions. Note: Python 3.9 is not supported yet, but it will be soon.

Supported Operating System Python Version (64-bit)
Ubuntu* 18.04 LTS, 64-bit 3.6, 3.7, 3.8
Ubuntu* 20.04 LTS, 64-bit 3.6, 3.7, 3.8
Red Hat* Enterprise Linux* 8, 64-bit 3.6, 3.8
CentOS* 7, 64-bit 3.6, 3.7, 3.8
macOS* 10.15.x versions 3.6, 3.7, 3.8
Windows 10*, 64-bit Pro, Enterprise or Education editions 3.6, 3.7, 3.8
Windows Server* 2016 or higher 3.6, 3.7, 3.8

? Installation Guide

OpenVINO Notebooks require Python and Git. For Python 3.8, C++ is also required. Select a guide for your operating system or environment:

Windows 10 Ubuntu macOS Red Hat CentOS Azure ML Docker

Or, if you have already installed Python, Git and C++, please follow the steps below.

Step 1: Create and Activate openvino_env Environment

Linux and macOS Commands:

python3 -m venv openvino_env
source openvino_env/bin/activate

Windows Commands:

python -m venv openvino_env

Step 2: Clone the Repository

git clone
cd openvino_notebooks

Step 3: Install and Launch the Notebooks

Upgrade pip to the latest version. Use pip's legacy dependency resolver to avoid dependency conflicts

python -m pip install --upgrade pip
pip install -r requirements.txt
python -m ipykernel install --user --name openvino_env

? Run the Notebooks

To Launch a Single Notebook

If you wish to launch only one notebook, like the Monodepth notebook, run the command below.

jupyter notebook notebooks/201-vision-monodepth/201-vision-monodepth.ipynb

To Launch all Notebooks

jupyter lab notebooks

In your browser, select a notebook from the file browser in Jupyter Lab using the left sidebar. Each tutorial is located in a subdirectory within the notebooks directory.

? Cleaning Up

Shut Down Jupyter Kernel

To end your Jupyter session, press Ctrl-c. This will prompt you to Shutdown this Jupyter server (y/[n])? enter y and hit Enter.

Deactivate Virtual Environment

To deactivate your virtualenv, simply run deactivate from the terminal window where you activated openvino_env. This will deactivate your environment.

To reactivate your environment, run source openvino_env/bin/activate on Linux or openvino_env\Scripts\activate on Windows, then type jupyter lab or jupyter notebook to launch the notebooks again.

Delete Virtual Environment (Optional)

To remove your virtual environment, simply delete the openvino_env directory:

On Linux and macOS:

rm -rf openvino_env

On Windows:

rmdir /s openvino_env

Remove openvino_env Kernel from Jupyter

jupyter kernelspec remove openvino_env