snapshot...

modules/deeplearning/srcnn.py

@@ -55,7 +55,7 @@ label_params = ['refl_0_65um_nom', 'temp_11_0um_nom', 'cld_temp_acha', 'cld_pres
 
 DO_ZERO_OUT = False
 
-data_idx, label_idx = 1, 1
+data_idx, label_idx = 4, 4
 data_param = data_params[data_idx]
 label_param = label_params[label_idx]
 
@@ -226,7 +226,8 @@ class SRCNN:
         # 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 data_param != 'cloud_fraction':
+            data = normalize(data, data_param, mean_std_dct, add_noise=True, noise_scale=0.005)
         if label_param != 'cloud_fraction':
             label = normalize(label, label_param, mean_std_dct)