diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index 4c7306267bd80c600c4f453817ecfd379f132d5e..0f7f8ef1f1e0c49c6c37d27e49a2b64e6ad36171 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -759,8 +759,11 @@ def run_restore_static(directory, ckpt_dir):
 
 def run_evaluate_static(in_file, out_file, ckpt_dir):
     N = 8
-    sub_y, sub_x = (N+1) * 128, (N+1) * 128
-    y_0, x_0, = 2500 - int(sub_y/2), 2500 - int(sub_x/2)
+
+    sub_y, sub_x = (N * 128) + 6, (N * 128) + 6
+    y_0, x_0, = 2432 - int(sub_y/2), 2432 - int(sub_x/2)
+    x_130 = slice(2, (N * 128) + 4)
+    y_130 = slice(2, (N * 128) + 4)
 
     slc_y_2, slc_x_2 = slice(1, 128*N + 6, 2), slice(1, 128*N + 6, 2)
     y_2, x_2 = np.arange((128*N)/2 + 3), np.arange((128*N)/2 + 3)
@@ -769,17 +772,15 @@ def run_evaluate_static(in_file, out_file, ckpt_dir):
     h5f = h5py.File(in_file, 'r')
     grd_a = get_grid_values_all(h5f, 'temp_11_0um_nom')
     grd_a = grd_a[y_0:y_0+sub_y, x_0:x_0+sub_x]
-    #grd_a = grd_a[slc_y_2, slc_x_2]
+    grd_a = grd_a[y_130, x_130]
     bt = grd_a
     grd_a = normalize(grd_a, 'temp_11_0um_nom', mean_std_dct)
-    #grd_a = resample_2d_linear_one(x_2, y_2, grd_a, t, s)
 
     grd_b = get_grid_values_all(h5f, 'refl_0_65um_nom')
     grd_b = grd_b[y_0:y_0+sub_y, x_0:x_0+sub_x]
-    #grd_b = grd_b[slc_y_2, slc_x_2]
+    grd_b = grd_b[y_130, x_130]
     refl = grd_b
     grd_b = normalize(grd_b, 'refl_0_65um_nom', mean_std_dct)
-    #grd_b = resample_2d_linear_one(x_2, y_2, grd_b, t, s)
 
     grd_c = get_grid_values_all(h5f, label_param)
     grd_c = grd_c[y_0:y_0+sub_y, x_0:x_0+sub_x]