diff --git a/modules/deeplearning/cloud_opd_srcnn_viirs.py b/modules/deeplearning/cloud_opd_srcnn_viirs.py
index 98e7806d221a13d3f5588334e882f7053aaf23ca..8c662ff33cc37b029daf032d2544c5bc8f915ff7 100644
--- a/modules/deeplearning/cloud_opd_srcnn_viirs.py
+++ b/modules/deeplearning/cloud_opd_srcnn_viirs.py
@@ -686,8 +686,6 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     ylen, xlen = refl.shape
     refl = refl[0:int(ylen/2), :]
     LEN_Y, LEN_X = refl.shape
-    LEN_Y -= 16
-    LEN_X -= 16
 
     bt = get_grid_values_all(h5f, 'orig/temp_11_0um')
     ylen, xlen = bt.shape
@@ -700,7 +698,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     refl = np.where(np.isnan(refl), 0, refl)
     refl = normalize(refl, 'refl_0_65um_nom', mean_std_dct)
 
-    nn = SRCNN(LEN_Y=LEN_Y, LEN_X=LEN_X)
+    nn = SRCNN(LEN_Y=LEN_Y-16, LEN_X=LEN_X-16)
 
     refl = refl[nn.slc_y, nn.slc_x]
     refl = np.expand_dims(refl, axis=0)
@@ -736,7 +734,7 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     cld_opd_sres = denormalize(cld_opd_sres, label_param, mean_std_dct)
     cld_opd_sres_out = np.zeros((LEN_Y, LEN_X), dtype=np.float32)
     border = int((KERNEL_SIZE - 1) / 2)
-    cld_opd_sres_out[border:LEN_Y - border, border:LEN_X - border] = cld_opd_sres[0, :, :]
+    cld_opd_sres_out[border:LEN_Y - border, border:LEN_X - border] = cld_opd_sres[0, :, :, 0]
 
     if out_file is not None:
         np.save(out_file, (cld_opd_sres_out, bt, refl))