What does the input parameters actually means? How to train the dataset with chainer-glow?

[in3omnia]

How to train the dataset with chainer-glow?

And I don't understand the input non-makeup and makeup of main.py, is that the output latent vectors .npy file generated by chainer-glow?

python3 main.py non-makeup makeup outfile

Thanks~

[BeautyGlow]

Sorry for replying to your question so late.
Actually, the non-makeup parameter means the latent vector that pre-trained Glow generate from your non-makeup images. In addition, you can use the Glow model pre-trained on CelebA dataset, which is provided by openai.