How can I train the model using my own data?

[cchen156]

For example, I have two datasets of PNG images. How can I use the code to train the model, which will transfer the style of one dataset to the other one (unpaired)?

Thank you!

[yuanming-hu]

Hi,

Sorry for the long delay. I get absorbed into several other projects.

Please do a "git pull" and "git submodule update".
You can train using images in folders using the new FolderDataProvider.
Take a look at the end of config_sintel.py as an example.
To train using the Sintel dataset, do "python3 train.py sintel test"

Hope it's still helpful. Btw, I could not come up a good example without copyright issue to demonstrate this usage. If you know any dataset that I can use as a demo (without copyright issues) for such user provided inputs, please let me know...
I think professional photos can be good inputs but the copyright issues are making me crazy...

Best,
Yuanming

[cchen156]

Hi Yuanming,

Thank you for your update! For dataset, you are free to use our data: https://github.com/cchen156/Learning-to-See-in-the-Dark

Thank you!

[yuanming-hu]

Thanks! They are interesting data and I will have a try when possible.