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

Resnet-based generator that consists of Resnet blocks between a few downsampling/upsampling operations. We adapt Torch code and idea from Justi

Define different GAN objectives. The GANLoss class abstracts away the need to create the target label tensor that has the same size as the in

Defines a PatchGAN discriminator

Create a Unet-based generator

Wrapper class of Dataset class that performs multi-threaded data loading

This HTML class allows us to save images and write texts into a single HTML file. It consists of functions such as <add_header> (add a text head

Defines a 1x1 PatchGAN discriminator (pixelGAN)

Define a Resnet block

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

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

This class includes several functions that can display/save images and print/save logging information. It uses a Python library 'visdom' for disp

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 CUT and FastCUT model, described in the paper Contrastive Learning for Unpaired Image-to-Image Translation Taesung Park

A Python script for downloading CycleGAN or pix2pix datasets. Parameters: technique (str) -- One of: 'cyclegan' or 'pix2pix'. ver

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

Defines a PatchGAN discriminator

This class implements the single image translation model (Fig 9) of Contrastive Learning for Unpaired Image-to-Image Translation Taesung Park

This dataset class can load a set of images specified by the path --dataroot /path/to/data. It can be used for generating CycleGAN results only f

This dataset class can load unaligned/unpaired datasets. It requires two directories to host training images from domain A '/path/to/data/tr

A template dataset class for you to implement custom datasets.

This dataset class can load unaligned/unpaired datasets. It requires two directories to host training images from domain A '/path/to/data/tr