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Install notebooks in existing openvino_env environment
If you already installed openvino-dev
in an openvino_env
environment according to the openvino-dev installation instructions, follow these instructions to install the notebook requirements in the same environment.
If you have not installed openvino-dev
yet, do not use this guide, but follow the main Notebooks Installation Guide to install both openvino-dev and the requirements for the notebooks.
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.
NOTE: This step can be skipped if
openvino_env
is already activated: if you see (openvino_env) at the start of the command line.
NOTE: This step should be done in the directory that contains
openvino_env
.
source openvino_env/bin/activate
openvino_env\Scripts\activate
git clone https://github.com/openvinotoolkit/openvino_notebooks.git
cd openvino_notebooks
The requirements.txt
file contains the requirements for all notebooks. This includes Jupyter Lab to run the notebooks, and PyTorch and TensorFlow to convert models to OpenVINO. Installing all the requirements may take some time.
pip install -r requirements.txt
To run notebooks that demonstrate OpenVINO Inference Engine, you only need to install Jupyter Notebook. This enables running the Hello World and Monodepth notebook.
pip install notebook
python -m ipykernel install --user --name openvino_env
# To launch a single notebook, for example monodepth:
jupyter notebook notebooks/201-vision-monodepth/201-vision-monodepth.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.
See the main Installation Guide about how to deactivate or delete the virtual environment.
- 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)
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