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author | Vasil Zlatanov <v@skozl.com> | 2019-02-27 20:39:22 +0000 |
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committer | Vasil Zlatanov <v@skozl.com> | 2019-02-27 20:39:22 +0000 |
commit | 3f7889e7823017acb9dcfa53c6c60f899a37a05c (patch) | |
tree | 8cea8b786958adf4a2132d8ff33012c160bc1767 | |
parent | df27559be9df36d14fe0b9e6bc389fa337b2c491 (diff) | |
parent | 765a74824171f9c3d1ab80d561debf2053c3dc06 (diff) | |
download | e4-gan-3f7889e7823017acb9dcfa53c6c60f899a37a05c.tar.gz e4-gan-3f7889e7823017acb9dcfa53c6c60f899a37a05c.tar.bz2 e4-gan-3f7889e7823017acb9dcfa53c6c60f899a37a05c.zip |
Merge branch 'master' of skozl.com:e4-gan
-rw-r--r-- | cgan.py | 16 |
1 files changed, 11 insertions, 5 deletions
@@ -193,17 +193,23 @@ class CGAN(): plt.close() def generate_data(self): - noise_train = np.random.normal(0, 1, (60000, 100)) + noise_train = np.random.normal(0, 1, (55000, 100)) noise_test = np.random.normal(0, 1, (10000, 100)) + noise_val = np.random.normal(0, 1, (5000, 100)) - labels_train = np.zeros(60000).reshape(-1, 1) + labels_train = np.zeros(55000).reshape(-1, 1) labels_test = np.zeros(10000).reshape(-1, 1) + labels_val = np.zeros(5000).reshape(-1, 1) + for i in range(10): - labels_train[i*600:] = i - labels_test[i*100:] = i + labels_train[i*5500:] = i + labels_test[i*1000:] = i + labels_val[i*500:] = i + train_data = self.generator.predict([noise_train, labels_train]) test_data = self.generator.predict([noise_test, labels_test]) - return train_data, test_data, labels_train, labels_test + val_data = self.generator.predict([noise_val, labels_val]) + return train_data, test_data, val_data, labels_train, labels_test, labels_val ''' |