diff --git a/modules/deeplearning/srcnn_l1b_l2.py b/modules/deeplearning/srcnn_l1b_l2.py
index a517fe36986b3c5d318f4cfda95c07f359e4b909..b1ccdfbee11b48f42455a7166718fce5ba5b9f08 100644
--- a/modules/deeplearning/srcnn_l1b_l2.py
+++ b/modules/deeplearning/srcnn_l1b_l2.py
@@ -259,16 +259,18 @@ class SRCNN:
         data_norm = []
         for param in data_params:
             idx = params.index(param)
-            tmp = input_data[:, idx, slc_y_2, slc_x_2]
+            # tmp = input_data[:, idx, slc_y_2, slc_x_2]
+            tmp = input_data[:, idx, slc_y, slc_x]
             tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
-            tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
+            # tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
             data_norm.append(tmp)
         # --------------------------
         param = 'refl_0_65um_nom'
         idx = params.index(param)
-        tmp = input_data[:, idx, slc_y_2, slc_x_2]
+        # tmp = input_data[:, idx, slc_y_2, slc_x_2]
+        tmp = input_data[:, idx, slc_y, slc_x]
         tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
-        tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
+        # tmp = resample_2d_linear(x_2, y_2, tmp, t, s)
         data_norm.append(tmp)
         # --------
         tmp = input_data[:, label_idx, slc_y_2, slc_x_2]