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A Python Implementation of "Scene Completion Using Millions of Photographs"

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This is a naive Python implementation of Local Context Matching as shown in Scene Completion Using Millions of Photographs which was completed as part of Georgia Tech's Computational Photography Course.

This repository contains the Jupyter notebook I worked off as well as the functions I used to generate the local context matching. More information of the approach can be found here.

Additional Outputs are located in the following albums:

Other Notes and Work

The Flickr Download code is based on the code "Download Images from Flickr with Python"

Whilst my (failed) attempt at the gist descriptor is based on the hints provided on quora. The GIST descriptor is used to perform similar image matching within the Scene Completion paper.

The sample images are based on the Scene Completion work assignment which was implemented in Matlab

Notes

The Gist descriptor for the three channels looks at all the colours rather than the grayscale images only.

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