snapshot...

modules/deeplearning/srcnn_l1b_l2.py

@@ -221,8 +221,9 @@ class SRCNN:
             tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
             data_norm.append(tmp)
         # --------
-        tmp = input_data[:, 0, 3:131, 3:131]
-        tmp = normalize(tmp, 'temp_11_0um_nom', mean_std_dct)
+        tmp = input_data[:, 2, 3:131:2, 3:131:2]
+        tmp = resample_2d_linear(y_64, x_64, tmp, s, t)
+        #tmp = normalize(tmp, 'temp_11_0um_nom', mean_std_dct)
         data_norm.append(tmp)
         # ---------
         data = np.stack(data_norm, axis=3)