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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_envis 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/activateopenvino_env\Scripts\activateNote: Using the --depth=1 option for git clone reduces download size.
git clone --depth=1 https://github.com/openvinotoolkit/openvino_notebooks.gitcd openvino_notebooksThe 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.txtTo 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# 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 notebooksIn 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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