User-defined dataset Example usage: >>> from data import CustomDataset >>> dataset = CustomDataset(opt, is_for_train)

A template dataset class for you to implement custom datasets.

This class includes training options. It also includes shared options defined in BaseOptions.

This class is an abstract base class (ABC) for datasets. To create a subclass, you need to implement the following four functions: -- <__init

This class is an abstract base class (ABC) for models. To create a subclass, you need to implement the following five functions: -- <__ini

This class defines options used during both training and test time. It also implements several helper functions such as parsing, printing, and sa

This class implements an image buffer that stores previously generated images. This buffer enables us to update discriminators using a history of

Defines the Unet submodule with skip connection. X -------------------identity---------------------- |-- downsampling -- |submodule| -