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authorVasil Zlatanov <v@skozl.com>2019-03-13 20:03:15 +0000
committerVasil Zlatanov <v@skozl.com>2019-03-13 20:03:15 +0000
commitfb6259d3285b6c3aa22069fffdb756a0342901b5 (patch)
tree599454bef502e145b0f4bb49a177e2baa22ff0bb /cdcgan.py
parent03f2c41ac69084cde7a61eb04303078e3c4785a7 (diff)
parent9945d9fe431f0b01c528b311acb685bebd99ab48 (diff)
downloade4-gan-fb6259d3285b6c3aa22069fffdb756a0342901b5.tar.gz
e4-gan-fb6259d3285b6c3aa22069fffdb756a0342901b5.tar.bz2
e4-gan-fb6259d3285b6c3aa22069fffdb756a0342901b5.zip
Merge branch 'master' of skozl.com:e4-gan
Diffstat (limited to 'cdcgan.py')
-rwxr-xr-xcdcgan.py7
1 files changed, 3 insertions, 4 deletions
diff --git a/cdcgan.py b/cdcgan.py
index 01368ac..895def2 100755
--- a/cdcgan.py
+++ b/cdcgan.py
@@ -156,7 +156,6 @@ class CDCGAN():
# Sample noise as generator input
noise = np.random.normal(0, 1, (batch_size, 100))
- tf.keras.backend.get_session().run(tf.global_variables_initializer())
# Generate a half batch of new images
gen_imgs = self.generator.predict([noise, labels])
@@ -224,9 +223,9 @@ class CDCGAN():
labels_val = np.zeros(5000).reshape(-1, 1)
for i in range(10):
- labels_train[i*5500:] = i
- labels_test[i*1000:] = i
- labels_val[i*500:] = i
+ labels_train[i*5500:-1] = i
+ labels_test[i*1000:-1] = i
+ labels_val[i*500:-1] = i
train_data = self.generator.predict([noise_train, labels_train])
test_data = self.generator.predict([noise_test, labels_test])