snapshot...

modules/deeplearning/cloud_opd_srcnn_abi.py

@@ -717,7 +717,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     refl = np.where(np.isnan(refl), 0, bt)
     refl = refl[slc_y, slc_x]
     refl = np.expand_dims(refl, axis=0)
-    refl = upsample_static(refl, x_2, y_2, t, s)
+    refl = upsample_static(refl, x_2, y_2, t, s, None, None)
     print(refl.shape)
     refl = normalize(refl, 'refl_0_65um_nom', mean_std_dct)
     print('REFL done')
@@ -725,7 +725,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     bt = np.where(np.isnan(bt), 0, bt)
     bt = bt[nn.slc_y, nn.slc_x]
     bt = np.expand_dims(bt, axis=0)
-    bt = upsample_static(bt, x_2, y_2, t, s)
+    bt = upsample_static(bt, x_2, y_2, t, s, None, None)
     bt = normalize(bt, 'temp_11_0um_nom', mean_std_dct)
     print('BT done')
 
@@ -743,7 +743,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     cld_opd = np.where(np.isnan(cld_opd), 0, cld_opd)
     cld_opd = cld_opd[nn.slc_y, nn.slc_x]
     cld_opd = np.expand_dims(cld_opd, axis=0)
-    cld_opd = upsample_static(cld_opd, x_2, y_2, t, s)
+    cld_opd = upsample_static(cld_opd, x_2, y_2, t, s, None, None)
     cld_opd = normalize(cld_opd, label_param, mean_std_dct)
     print('OPD done')