# Image In-painting with OpenVINO™ [![Binder](https://mybinder.org/badge_logo.svg)](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) ![object detection](https://user-images.githubusercontent.com/4547501/167121084-ec58fbdb-b269-4de2-9d4c-253c5b95de1e.png) 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.
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).