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fix issue 80 #86

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fix issue 80 #86

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4dfacb0
fix issue 80
fengwang Oct 10, 2018
41f7ba5
Merge branch 'master' of https://github.com/eriklindernoren/Keras-GAN
Jan 27, 2020
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10 changes: 4 additions & 6 deletions pix2pix/pix2pix.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,6 @@ def __init__(self):
self.data_loader = DataLoader(dataset_name=self.dataset_name,
img_res=(self.img_rows, self.img_cols))


# Calculate output shape of D (PatchGAN)
patch = int(self.img_rows / 2**4)
self.disc_patch = (patch, patch, 1)
Expand All @@ -56,18 +55,17 @@ def __init__(self):

# Input images and their conditioning images
img_A = Input(shape=self.img_shape)
img_B = Input(shape=self.img_shape)

# By conditioning on B generate a fake version of A
fake_A = self.generator(img_B)
fake_A = self.generator(img_A)

# For the combined model we will only train the generator
self.discriminator.trainable = False

# Discriminators determines validity of translated images / condition pairs
valid = self.discriminator([fake_A, img_B])
valid = self.discriminator([fake_A, img_A])

self.combined = Model(inputs=[img_A, img_B], outputs=[valid, fake_A])
self.combined = Model(inputs=img_A, outputs=[valid, fake_A])
self.combined.compile(loss=['mse', 'mae'],
loss_weights=[1, 100],
optimizer=optimizer)
Expand Down Expand Up @@ -171,7 +169,7 @@ def train(self, epochs, batch_size=1, sample_interval=50):
# -----------------

# Train the generators
g_loss = self.combined.train_on_batch([imgs_A, imgs_B], [valid, imgs_A])
g_loss = self.combined.train_on_batch(imgs_B, [valid, imgs_A])

elapsed_time = datetime.datetime.now() - start_time
# Plot the progress
Expand Down