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| author | Vasil Zlatanov <v@skozl.com> | 2019-02-27 19:49:20 +0000 |
|---|---|---|
| committer | Vasil Zlatanov <v@skozl.com> | 2019-02-27 19:49:20 +0000 |
| commit | e7ac5212b90ac9058070c2d8f3e673cbc193ba08 (patch) | |
| tree | e217f2a3646eba2e10b5f066bb68f99bf9dc8f10 | |
| parent | 7eae715bbac0a3ace5075e79e1b85b2ceb45c278 (diff) | |
| parent | f5e7e167119dff9e2bae122f44fc2172b0cae14b (diff) | |
| download | e4-gan-e7ac5212b90ac9058070c2d8f3e673cbc193ba08.tar.gz e4-gan-e7ac5212b90ac9058070c2d8f3e673cbc193ba08.tar.bz2 e4-gan-e7ac5212b90ac9058070c2d8f3e673cbc193ba08.zip | |
Also one_hot test
| -rw-r--r-- | cgan.py | 5 |
1 files changed, 0 insertions, 5 deletions
@@ -203,11 +203,6 @@ class CGAN(): labels_test[i*100:] = i train_data = self.generator.predict([noise_train, labels_train]) test_data = self.generator.predict([noise_test, labels_test]) - test_data = np.pad(test_data, ((0,0),(2,2),(2,2),(0,0)), 'constant') - train_data = np.pad(train_data, ((0,0),(2,2),(2,2),(0,0)), 'constant') - labels_test = labels_test.flatten() - labels_train = labels_train.flatten() - print(train_data.shape, test_data.shape, labels_test.shape, labes_train.shape) return train_data, test_data, labels_train, labels_test |