Pix2PixLoss

Inheritance Diagram

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class ashpy.losses.gan.Pix2PixLoss(l1_loss_weight=100.0, adversarial_loss_weight=1.0, feature_matching_weight=10.0, adversarial_loss_type=<AdversarialLossType.GAN: 1>, use_feature_matching_loss=False)

Bases: ashpy.losses.executor.SumExecutor

Pix2Pix Loss.

Weighted sum of ashpy.losses.gan.GeneratorL1, ashpy.losses.gan.AdversarialLossG and ashpy.losses.gan.FeatureMatchingLoss.

Used by Pix2Pix [1] and Pix2PixHD [2]

1

Image-to-Image Translation with Conditional Adversarial Networks https://arxiv.org/abs/1611.07004

2

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs https://arxiv.org/abs/1711.11585

Methods

__init__([l1_loss_weight, …])

Initialize the loss.

Attributes

executors	Return the List of Executors.
fn	Return the Keras loss function to execute.
global_batch_size	Global batch size comprises the batch size for each cpu.
weight	Return the loss weight.

__init__(l1_loss_weight=100.0, adversarial_loss_weight=1.0, feature_matching_weight=10.0, adversarial_loss_type=<AdversarialLossType.GAN: 1>, use_feature_matching_loss=False)

Initialize the loss.

Weighted sum of ashpy.losses.gan.GeneratorL1, ashpy.losses.gan.AdversarialLossG and ashpy.losses.gan.FeatureMatchingLoss.

Parameters

• l1_loss_weight (ashpy.ashtypes.TWeight) – Weight of L1 loss.

• adversarial_loss_weight (ashpy.ashtypes.TWeight) – Weight of adversarial loss.

• feature_matching_weight (ashpy.ashtypes.TWeight) – Weight of the feature matching loss.

• adversarial_loss_type (ashpy.losses.gan.AdversarialLossType) – Adversarial loss type (ashpy.losses.gan.AdversarialLossType.GAN or ashpy.losses.gan.AdversarialLossType.LSGAN).

• use_feature_matching_loss (bool) – if True use also uses ashpy.losses.gan.FeatureMatchingLoss.

Return type

None