Custom CycleGAN is a pure and concise TensorFlow 2 implementation of the Cycle-Consistent Adversarial Networks paper : https://arxiv.org/pdf/1703.10593.pdf.
A ready to use Conda package manager.
You may be interested by Miniconda and the minimal installation it requires.
git clone git@github.com:neuronest/custom-cyclegan.git
cd custom-cyclegan
source install.shtensorboard --port 6006 --logdir tensorboardNote: TensorBoard internally restricts to 10 the number of distinct images displayed per tag.
You can work around this limitation by adding the --samples_per_plugin images=n argument, with n a higher number, analogous to the maximum number of epochs.
For example:
tensorboard --port 6006 --logdir tensorboard --samples_per_plugin images=500python -m src.main