Ubuntu

1. Install Python, Git and GPU drivers

You may need to install some additional libraries on Ubuntu Linux. These steps work on a clean install of Ubuntu Desktop 20.04, and should also work on Ubuntu 22.04 and 20.10, and on Ubuntu Server.

sudo apt-get update
sudo apt-get upgrade
sudo apt-get install python3-venv build-essential python3-dev git-all libgl1-mesa-dev ffmpeg

If you have a CPU with an Intel Integrated Graphics Card, you can install the Intel Graphics Compute Runtime to enable inference on this device. The command for Ubuntu 20.04 is:

Note: Only execute this command if you do not yet have OpenCL drivers installed.

sudo apt-get install intel-opencl-icd

Also, please follow the instructions discussed here to ensure you enabled the right permissions.

See the documentation for other installation methods and instructions for other versions.

1.1 NPU Drivers for AI PCs

Please see the How to Run OpenVINO on Linux AI PC blog to learn how to install NPU driver on Linux.

2. Install the Notebooks

After installing Python 3 and Git, run each step below in a terminal. Note: If OpenVINO is installed globally, please do not run any of these commands in a terminal where setupvars.sh is sourced.

3. Create a Virtual Environment

Note: If you already installed openvino-dev and activated the openvino_env environment, you can skip to Step 4. If you use Anaconda, please see the Conda guide.

python3 -m venv openvino_env

4. Activate the Environment

source openvino_env/bin/activate

5. Clone the Repository

Note: Using the --depth=1 option for git clone reduces download size.

git clone --depth=1 https://github.com/openvinotoolkit/openvino_notebooks.git
cd openvino_notebooks

6. Install the Packages

This step installs OpenVINO and dependencies like Jupyter Lab. First, upgrade pip to the latest version. Then, install the required dependencies.

python -m pip install --upgrade pip 
pip install wheel setuptools
pip install -r requirements.txt

NOTE: ⚠️If you have connection issue on HuggingFace in PRC, please set-up the networking environment by following commands before launching notebooks:

pip install -U huggingface_hub
export HF_ENDPOINT=https://hf-mirror.com

For more information, you can visit https://hf-mirror.com/

7. Launch the Notebooks!

To launch a single notebook, like the PyTorch to OpenVINO notebook

jupyter lab notebooks/pytorch-to-openvino/pytorch-to-openvino.ipynb

To launch all notebooks in Jupyter Lab (localhost only)

jupyter lab notebooks

To launch all notebooks available from any host

jupyter lab notebooks --ip 0.0.0.0

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

Troubleshooting

• The system default version of Python on Ubuntu 20.04 is Python 3.8, on Ubuntu 22.04 - 3.10. If you also installed other versions of Python, it is recommended to use the full path the to system default Python: /usr/bin/python3.8 -m venv openvino_env on Ubuntu 20, /usr/bin/python3.10 -m venv openvino_env on Ubuntu 22.

• If you use Anaconda or Miniconda, see the Conda wiki page.

• 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.

• On Ubuntu, if you see the error "OSError('sndfile library not found') OSError: sndfile library not found" please install the required package using apt install libsndfile1.

• On Ubuntu, if the GPU device is not found, please follow the instruction here to ensure you have installed the drivers and set the right permission. (https://github.com/openvinotoolkit/openvino_notebooks/discussions/540)