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Arbitrary Neural Style Transfer using Pretrained Models

Google's Magenta project provides pre-trained models for real-time style transfer using arbitrary images and styles. Check out the full repository here.

In addition to the model, I set up a specific directory structure to match my images. This folder is called Selfies and is at the root of my google drive. The structure is as follows:

Selfies/
    output/
      # Output files will be stored here
    styles/
      style-0.jpg
      style-1.jpg
      style-2.jpg
      style-3.jpg
      style-4.jpg
      style-5.jpg
      style-6.jpg
      style-7.jpg
    videos/
      video-1.mp4
    pictures/
      img-1.jpg
      img-2.jpg
      ...

The photos in the pictures directory can have any number of images and any filename as long as the extension is .jpg.

The code in this colab notebook evaluates 8 styles on the video video-1.mp4. Check out the Colab Notebook Here.

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