diff --git a/train.py b/train.py
index c6ad9048..eda88c23 100644
--- a/train.py
+++ b/train.py
@@ -446,7 +446,7 @@ if __name__ == '__main__':
         mixed_precision = False
 
     # scale hyp['obj'] by img_size (evolved at 320)
-    hyp['obj'] *= opt.img_size / 320.
+    # hyp['obj'] *= opt.img_size / 320.
 
     tb_writer = None
     if not opt.evolve:  # Train normally
diff --git a/utils/utils.py b/utils/utils.py
index 52638c0f..0ece2b3c 100755
--- a/utils/utils.py
+++ b/utils/utils.py
@@ -367,7 +367,7 @@ def compute_loss(p, targets, model):  # predictions, targets, model
     tcls, tbox, indices, anchor_vec = build_targets(model, targets)
     h = model.hyp  # hyperparameters
     arc = model.arc  # # (default, uCE, uBCE) detection architectures
-    red = 'mean'  # Loss reduction (sum or mean)
+    red = 'sum'  # Loss reduction (sum or mean)
 
     # Define criteria
     BCEcls = nn.BCEWithLogitsLoss(pos_weight=ft([h['cls_pw']]), reduction=red)