minor

modules/deeplearning/icing_cnn.py

@@ -27,6 +27,8 @@ EARLY_STOP = True
 TRIPLET = False
 CONV3D = False
 
+NOISE_TRAINING = False
+
 img_width = 16
 
 mean_std_file = homedir+'data/icing/mean_std_l1b_no_ice.pkl'
@@ -211,7 +213,10 @@ class IcingIntensityNN:
         data = []
         for param in train_params:
             nda = h5f[param][nd_idxs, ]
-            nda = normalize(nda, param, mean_std_dct)
+            if NOISE_TRAINING and is_training:
+                nda = normalize(nda, param, mean_std_dct, add_noise=True, noise_scale=0.01, seed=42)
+            else:
+                nda = normalize(nda, param, mean_std_dct)
             data.append(nda)
         data = np.stack(data)
         data = data.astype(np.float32)