snapshot...

modules/deeplearning/srcnn_l1b_l2.py

@@ -226,13 +226,14 @@ class SRCNN:
         for param in data_params:
             idx = params.index(param)
             tmp = input_data[:, idx, 3:131:2, 3:131:2]
-            # tmp = resample(y_64, x_64, tmp, s, t)
             tmp = resample_2d_linear(x_64, y_64, tmp, t, s)
             tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
             data_norm.append(tmp)
         # --------
         idx = params.index('refl_0_65um_nom')
         tmp = input_data[:, idx, 3:131, 3:131]
+        # tmp = input_data[:, idx, 3:131:2, 3:131:2]
+        # tmp = resample_2d_linear(x_64, y_64, tmp, t, s)
         tmp = normalize(tmp, param, mean_std_dct, add_noise=add_noise, noise_scale=noise_scale)
         data_norm.append(tmp)
         # --------