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# Image In-painting with OpenVINO™
[](https://mybinder.org/v2/gh/eaidova/openvino_notebooks_binder.git/main?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgithub.com%252Fopenvinotoolkit%252Fopenvino_notebooks%26urlpath%3Dtree%252Fopenvino_notebooks%252Fnotebooks%2Fimage-inpainting%2Fimage-inpainting.ipynb)

Image in-painting is the task of filling missing pixels of an image.
This notebook uses a generative multi-column convolution neural network (GMCNN) model for this purpose.
## Notebook Contents
This notebook provides a tutorial on how to use image in-painting with OpenVINO. The model used in this notebook is [GMCNN-places2-tf](https://docs.openvino.ai/2024/omz_models_model_gmcnn_places2_tf.html)
## Installation Instructions
This is a self-contained example that relies solely on its own code.</br>
We recommend running the notebook in a virtual environment. You only need a Jupyter server to start.
For details, please refer to [Installation Guide](../../README.md). |