mmagic.models.editors.cyclegan.cyclegan

Module Contents

Classes

CycleGAN

CycleGAN model for unpaired image-to-image translation.

class mmagic.models.editors.cyclegan.cyclegan.CycleGAN(*args, buffer_size=50, loss_config=dict(cycle_loss_weight=10.0, id_loss_weight=0.5), **kwargs)

Bases: mmagic.models.base_models.BaseTranslationModel

CycleGAN model for unpaired image-to-image translation.

Ref: Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

forward_test(img, target_domain, **kwargs)

Forward function for testing.

参数

• img (tensor) – Input image tensor.

• target_domain (str) – Target domain of output image.

• kwargs (dict) – Other arguments.

返回

Forward results.

返回类型

dict

_get_disc_loss(outputs)

Backward function for the discriminators.

参数

outputs (dict) – Dict of forward results.

返回

Discriminators’ loss and loss dict.

返回类型

dict

_get_gen_loss(outputs)

Backward function for the generators.

参数

outputs (dict) – Dict of forward results.

返回

Generators’ loss and loss dict.

返回类型

dict

_get_opposite_domain(domain)

Get the opposite domain respect to the input domain.

参数

domain (str) – The input domain.

返回

The opposite domain.

返回类型

str

train_step(data: dict, optim_wrapper: mmengine.optim.OptimWrapperDict)

Training step function.

参数

• data_batch (dict) – Dict of the input data batch.

• optimizer (dict[torch.optim.Optimizer]) – Dict of optimizers for the generators and discriminators.

• ddp_reducer (Reducer | None, optional) – Reducer from ddp. It is used to prepare for backward() in ddp. Defaults to None.

• running_status (dict | None, optional) – Contains necessary basic information for training, e.g., iteration number. Defaults to None.

返回

Dict of loss, information for logger, the number of samples and results for visualization.

返回类型

dict

test_step(data: dict) → mmagic.utils.typing.SampleList

Gets the generated image of given data. Same as val_step().

参数

data (dict) – Data sampled from metric specific sampler. More details in Metrics and Evaluator.

返回

A list of DataSample contain generated results.

返回类型

SampleList

val_step(data: dict) → mmagic.utils.typing.SampleList

Gets the generated image of given data. Same as val_step().

参数

data (dict) – Data sampled from metric specific sampler. More details in Metrics and Evaluator.

返回

A list of DataSample contain generated results.

返回类型

SampleList