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BiGAN implementation in Keras to detect similarities in Landscapes.

License: MIT License

Python 100.00%

keras-bigan's Introduction

Keras-BiGAN

BiGAN implementation in Keras to detect similarities in Landscapes.

alt text Detecting feature-wise similarity of landscape images. Left is the target, and right are the most similar images in the dataset (in order).

alt_text Clusters created from BiGAN's feature space, using k-means clustering. Each row is another cluster.

alt_text Images generated by this BiGAN. Top are generated from nothing. Bottom shows real images (1st and 3rd row) and their respective reconstructions (2nd and 4th row).

To use:

  • Create 3 directories: "data", "Results", "Models"
  • In data, create a folder with the images.
  • Specify training details in bigan.py
  • Train BiGAN using bigan.py
  • Make predictions using the functions in guess.py

guess.py also includes a "game" which will try to guess how you rate images in a dataset, using Inverse Distance Weighting in BiGAN's feature space.

Enjoy!

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