snapshot..

modules/deeplearning/srcnn_l1b_l2.py

@@ -657,6 +657,15 @@ class SRCNN:
 
         print('loss, acc: ', self.test_loss.result().numpy(), self.test_accuracy.result().numpy())
 
+        labels = np.concatenate(self.test_labels)
+        preds = np.concatenate(self.test_preds)
+        print(labels.shape, preds.shape)
+
+        labels_denorm = denormalize(labels, label_param, mean_std_dct)
+        preds_denorm = denormalize(preds, label_param, mean_std_dct)
+
+        # return labels_denorm, preds_denorm
+
     def do_evaluate(self, data, ckpt_dir):
 
         ckpt = tf.train.Checkpoint(step=tf.Variable(1), model=self.model)