snapshot...

modules/deeplearning/espcn.py

@@ -225,7 +225,11 @@ class ESPCN:
         # if label_param != 'cloud_fraction':
         #     label = scale(label, label_param, mean_std_dct)
 
-        data = normalize(data, data_param, mean_std_dct, add_noise=True, noise_scale=0.005)
+        if is_training:
+            data = normalize(data, data_param, mean_std_dct, add_noise=True, noise_scale=0.005)
+        else:
+            data = normalize(data, data_param, mean_std_dct)
+
         if label_param != 'cloud_fraction':
             label = normalize(label, label_param, mean_std_dct)