diff options
| -rw-r--r-- | cgan.py | 6 | 
1 files changed, 4 insertions, 2 deletions
| @@ -175,9 +175,11 @@ class CGAN():          r, c = 2, 5          noise = np.random.normal(0, 1, (r * c, 100))          sampled_labels = np.arange(0, 10).reshape(-1, 1) -        dummy_labels = np.zeros(32).reshape(-1, 1) + +        #using dummy_labels would just print zeros to help identify image quality +        #dummy_labels = np.zeros(32).reshape(-1, 1) -        gen_imgs = self.generator.predict([noise, dummy_labels]) +        gen_imgs = self.generator.predict([noise, sampled_labels])          # Rescale images 0 - 1          gen_imgs = 0.5 * gen_imgs + 0.5 | 
