FireGAN

FireGAN

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A Generative Adversarial Network (GAN), based on the CycleGAN architecture, that is trained to generate fire in images of buildings. (Don't ask why). The model was implemented with PyTorch, Served with a Flask backend to be used from a React web app.

  • STACK Python, PyTorch, Flask, TypeScript, React
Trained on a dataset created of images collected from the internet, containing a combination of buildings, fires, natural accidents, forest fires, building fires, etc. Trained for 200 epochs each, with and without using the identity loss. ~20 hours on an NVIDIA Tesla V100.

Selected Outputs

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