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

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

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

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

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

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

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

Defines a PatchGAN discriminator

Define a Resnet block

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

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

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

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

Defines a 1x1 PatchGAN discriminator (pixelGAN)

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.

Create a Unet-based generator

Create a Unet-based generator

Create a Unet-based generator

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

A dataset class for paired image dataset. It assumes that the directory '/path/to/data/train' contains image pairs in the form of {A,B}. Duri

A dataset class for paired image dataset. It assumes that the directory '/path/to/data/train' contains image pairs in the form of {A,B}. Duri

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 the CycleGAN model, for learning image-to-image translation without paired data. The model training requires '--datase

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

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

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

This class implements the pix2pix model, for learning a mapping from input images to output images given paired data. The model training require

This class implements the pix2pix model, for learning a mapping from input images to output images given paired data. The model training require

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

A template dataset class for you to implement custom datasets.

This class implements the pix2pix model, for learning a mapping from input images to output images given paired data. The model training require

This class implements the pix2pix model, for learning a mapping from input images to output images given paired data. The model training require

A dataset class for temporal image dataset. It assumes that the directory '/path/to/data/train' contains image pairs in the form of {{A_0, A_1, A

A dataset class for temporal image dataset. It assumes that the directory '/path/to/data/train' contains image pairs in the form of {{A_0, A_1, A

This class implements the pix2pix model, for learning a mapping from input images to output images given paired data. The model training require

This class implements the pix2pix model, for learning a mapping from input images to output images given paired data. The model training require

This TesteModel can be used to generate CycleGAN results for only one direction. This model will automatically set '--dataset_mode single', which

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

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