snapshot...

modules/deeplearning/srcnn_cld_frac.py

@@ -790,9 +790,9 @@ class SRCNN:
 
 def run_restore_static(directory, ckpt_dir, out_file=None):
     nn = SRCNN()
-    labels_denorm, preds_denorm = nn.run_restore(directory, ckpt_dir)
+    labels, preds = nn.run_restore(directory, ckpt_dir)
     if out_file is not None:
-        np.save(out_file, [np.squeeze(labels_denorm), preds_denorm.argmax(axis=3)])
+        np.save(out_file, [np.squeeze(labels), preds.argmax(axis=3)])
 
 
 def run_evaluate_static(in_file, out_file, ckpt_dir):