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Image In-painting with OpenVINO™

Binder

object detection

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

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.