diff --git a/image_ref/main.py b/image_ref/main.py
index ed7d6d17ab73c1a983b22b3d2f3228b8ef59d351..2368cdaff12042c31c8cdc44655581368fed1e43 100644
--- a/image_ref/main.py
+++ b/image_ref/main.py
@@ -238,8 +238,6 @@ def make_prediction_duo(model, data, f_name, f_name2):
             label = label.cuda()
         output = model(imaer, imana, img_ref)
         confidence = soft_max(output)
-        print(label)
-        print(confidence)
         confidence_pred_list[specie].append(confidence[:, 0].data.cpu().numpy())
         # Mono class output (only most postive paire)
         output = torch.argmax(confidence[:, 0])