A collection of Python notebooks for learning and experimenting with OpenVINO
|size (curr.)||54623 kB|
|license||Apache License 2.0|
📚 OpenVINO Notebooks
🚧 Notebooks are currently in beta. We plan to publish a stable release this summer. Please submit issues on GitHub, start a discussion or join our Unofficial Developer Discord Server* to stay in touch.
A collection of ready-to-run Python* notebooks for learning and experimenting with OpenVINO developer tools. The notebooks are meant to provide an introduction to OpenVINO basics and teach developers how to leverage our APIs for optimized deep learning inference in their applications.
💻 Getting Started
The notebooks are designed to run almost anywhere — your laptop, a cloud VM, or even a Docker container. Here’s what you need to get started:
- CPU (64-bit)
- Windows*, Linux* or macOS*
- Python* 3.6-3.8
⚙️ System Requirements
The table below lists the supported operating systems and Python versions required to run the OpenVINO notebooks.
|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
NOTE: If OpenVINO is installed globally, please do not run any of these commands in a terminal where setupvars.bat or setupvars.sh are sourced. For Windows, we recommend using Command Prompt (cmd.exe), not PowerShell.
Step 1: Clone the Repository
git clone https://github.com/openvinotoolkit/openvino_notebooks.git
Step 2: Create a Virtual Environment
# Linux and macOS may require typing python3 instead of python cd openvino_notebooks python -m venv openvino_env
Step 3: Activate the Environment
For Linux and macOS:
Step 4: Install the Packages
Installs OpenVINO tools and dependencies like Jupyter Lab:
# Upgrade pip to the 20.2.* version to avoid dependency issues python -m pip install --upgrade pip==20.2.4 pip install -r requirements.txt
Step 5: Install the virtualenv Kernel in Jupyter
python -m ipykernel install --user --name openvino_env
Step 6: Launch the Notebooks!
# To launch a single notebook jupyter notebook <notebook_filename> # To launch all notebooks in Jupyter Lab jupyter lab notebooks
In Jupyter Lab, select a notebook from the file browser using the left sidebar. Each notebook is located in a subdirectory within the
🧹 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
Deativate 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, simply repeat Step 3 from the Install Guide.
Delete Virtual Environment (Optional)
To remove your virtual environment, simply delete the
On Linux and macOS:
rm -rf openvino_env
rmdir /s openvino_env
openvino_env Kernel from Jupyter
jupyter kernelspec remove openvino_env
On Ubuntu, if you see the error “libpython3.7m.so.1.0: cannot open shared object file: No such object or directory” please install the required package using
apt install libpython3.7-dev
If you get an
ImportError, doublecheck that you installed the kernel in Step 5. If necessary, choose the openvinoenv kernel from the _Kernel->Change Kernel menu)
On Linux and macOS you may need to type
pythonwhen creating your virtual environment
On Linux and macOS you may need to install pip and/or python-venv (depending on your Linux distribution)
On Windows, if you have installed multiple versions of Python, use
py -3.7when creating your virtual environment to specify a supported version (in this case 3.7)
On Fedora*, Red Hat and Amazon* Linux you may need to install the OpenGL (Open Graphics Library) to use OpenCV. Please run
yum install mesa-libGLbefore launching the notebooks.
For macOS systems with Apple* M1, please see community discussion about using Rosetta* 2.
* Other names and brands may be claimed as the property of others.