Keras implementation of CycleGAN using a tensorflow backend.
Implementation using a tensorflow backend. Testing and evaluation done on street view images.
Input | Translation | Input | Translation |
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Input | Translation | Input | Translation |
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Set wanted training options, also found in the init function.
Train a model by:
python model.py
The following gif shows an example of the training progression in a translation from day to night.
Left: Input image. Middle: Translated images. Right: Reconstructed images.