Red Hat and CentOS

1. Install Python and Git

You may need to install some additional libraries when using Red Hat, CentOS, Amazon Linux 2 or Fedora. These steps should work on a clean install, but please file an Issue if you have any trouble.

sudo yum update
sudo yum upgrade
sudo yum install python36-devel mesa-libGL

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 -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

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 notebooks directory.

Troubleshooting

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