snapshot...

modules/deeplearning/cloud_opd_srcnn_abi.py

@@ -755,14 +755,6 @@ class SRCNN:
         self.x_k = slice(1, LEN_X + 3)
         self.y_k = slice(1, LEN_Y + 3)
 
-        # refl = np.where(np.isnan(refl), 0, refl)
-        # refl = refl[slc_y, slc_x]
-        # refl = np.expand_dims(refl, axis=0)
-        # refl_us = upsample_static(refl, x_2, y_2, t, s, None, None)
-        # print(refl_us.shape)
-        # refl_us = normalize(refl_us, 'refl_0_65um_nom', mean_std_dct)
-        # print('REFL done')
-
         t0 = time.time()
         bt = np.where(np.isnan(bt), 0, bt)
         bt = bt[self.slc_y_m, self.slc_x_m]
@@ -774,8 +766,7 @@ class SRCNN:
 
         refl = np.where(np.isnan(refl), 0, refl)
         refl = refl[self.slc_y_m, self.slc_x_m]
-        bt = np.expand_dims(refl, axis=0)
-        # bt_us = upsample_static(bt, x_2, y_2, t, s, None, None)
+        refl = np.expand_dims(refl, axis=0)
         refl_us = self.upsample(refl)
         refl_us = smooth_2d(refl_us)
         refl_us = normalize(refl_us, 'refl_0_65um_nom', mean_std_dct)