snapshot...

modules/deeplearning/cloud_opd_srcnn_abi.py

@@ -31,7 +31,7 @@ NOISE_TRAINING = False
 NOISE_STDDEV = 0.01
 DO_AUGMENT = True
 
-DO_SMOOTH = True
+DO_SMOOTH = False
 SIGMA = 1.0
 DO_ZERO_OUT = False
 
@@ -270,8 +270,7 @@ class SRCNN:
             tmp = np.where(np.isnan(tmp), 0.0, tmp)
             tmp = tmp[:, self.slc_y_m, self.slc_x_m]
             tmp = self.upsample(tmp)
-            # if DO_SMOOTH:
-            if False:
+            if DO_SMOOTH:
                 tmp = smooth_2d(tmp)
             tmp = normalize(tmp, param, mean_std_dct)
             data_norm.append(tmp)
@@ -876,8 +875,7 @@ class SRCNN:
         bt = np.expand_dims(bt, axis=0)
         # bt_us = upsample_static(bt, x_2, y_2, t, s, None, None)
         bt_us = self.upsample(bt)
-        # if DO_SMOOTH:
-        if False:
+        if DO_SMOOTH:
             bt_us = smooth_2d(bt_us)
         bt_us = normalize(bt_us, 'temp_11_0um_nom', mean_std_dct)
 
@@ -887,8 +885,7 @@ class SRCNN:
         refl = np.expand_dims(refl, axis=0)
         # refl_us = self.upsample(refl)
         refl_us = refl
-        # if DO_SMOOTH:
-        if False:
+        if DO_SMOOTH:
             refl_us = smooth_2d(refl)
         refl_us = normalize(refl_us, 'refl_0_65um_nom', mean_std_dct)