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caglorithm/deep_meme_clustering

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Core code is based on https://github.com/elcorto/imagecluster

Usage

Runs on python 3.6

IF you don't know anything about programming and you have installed all the depencies, you can go into pipeline.py and change the imagedir directory to where your meme stash is and run the script on the terminal using the command python pipeline.py and hope for the best.

Depends these python packages: numpy, scipy, sklean, pyplot, pickle, tqdm, imagehash, hashlib, PIL, keras, tensorflow. I know that these are a lot but since this is in development, there are probably some dependencies I will get rid of along the way.

Pipeline roughly does the following:

1 - calculates sha256 hash and renames files to hash
2 - crops out image from meme and copies into ./cropped/
3 - calculates phash using the imagehash library
4 - calculates dnn fingerprint using keras and tensorflow
6 - does the same for cropped versions
7 - applies a clustering algorithm on fingerprints of cropped images
8 - plots all members of all clusters into a jpg file and saves results

Results

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A deep convolutional neural network pipeline for unsupervised meme clustering

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