snapshot...

modules/deeplearning/srcnn_l1b_l2.py

@@ -47,8 +47,8 @@ f.close()
 mean_std_dct.update(mean_std_dct_l1b)
 mean_std_dct.update(mean_std_dct_l2)
 
-params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'cloud_fraction']
-data_params = ['temp_11_0um_nom', 'temp_12_0um_nom']
+params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom', 'cloud_fraction']
+data_params = ['temp_11_0um_nom', 'temp_12_0um_nom', 'refl_0_65um_nom']
 label_params = ['cloud_fraction']
 
 
@@ -203,7 +203,7 @@ class SRCNN:
             f = files[k]
             nda = np.load(f)
             data_s.append(nda[0:len(data_params), :, :])
-            label_s.append(nda[2, :, :])
+            label_s.append(nda[3, :, :])
 
         data = np.concatenate(data_s)
         label = np.concatenate(label_s)