Download the WAIT animation and illustration datasets using the following command.
This will download the dataset used in the experiments to current directory. Check for other options in the "openlibraryImageDownloaderMain.py"
python openlibraryImageDownloaderMain.py --openlib_username <username> --openlib_password <pass>
To train a model on illustration datasets for style transfer,
you need to create a data folder with two subdirectories trainA
and trainB
that contain images from domain A (e.g. natural images) and B (e.g. Korky Paul).
You can test your model on your training set by setting --phase train
in test.py
.
You can also create subdirectories testA
and testB
if you have test data.
We use only testA
for style transfer tests.
We use natural images from CycleGan art datasets such as monet2photo
or vangogh2photo
.
Photo images are same in these datasets so you could pick one and download it.