snapshot...

modules/deeplearning/srcnn_l1b_l2.py

@@ -309,6 +309,7 @@ class SRCNN:
         tmp = np.where(np.isnan(tmp), 0, tmp)
         if DO_SMOOTH:
             tmp = smooth_2d(tmp, sigma=SIGMA)
+            # tmp = median_filter_2d(tmp)
         if DO_ESPCN:
             tmp = tmp[:, slc_y_2, slc_x_2]
         else:  # Half res upsampled to full res:
@@ -333,6 +334,7 @@ class SRCNN:
         if DO_SMOOTH:
             label = np.where(np.isnan(label), 0, label)
             label = smooth_2d(label, sigma=SIGMA)
+            # label = median_filter_2d(label)
         label = label[:, y_128, x_128]
 
         if label_param != 'cloud_probability':