quick runs guidelines

[romain-rsr]

Hi,

Thanks for the very clear information on general gan concepts and for the clear description of your own architecture, however I couldn't find any guideline on how to quickly run it (on synthetic dataset / forest dataset)

I figured out one has to build the data through grayscale_<...>.py files then run the gan_256.py file, but then some dummy errors occurs (I mean errors that look easy to fix yet require to dig in the code a bit) like this one for example :

ValueError: Error when checking input: expected input_1 to have shape (256, 256, 1) but got array with shape (32, 32, 1)

[romain-rsr]

(sorry closed it by error, I am still interested for a simple guideline on how to quickly run the gan on simple examples)

[pdrabinski]

Hi Roman, thanks for your comment! Glad to hear that you found it helpful. To be honest, I'm surprised that anyone has found this. I'm busy at the moment so no promises, but I will try to put something together.