Robust objectness loss balancing (ultralytics#2256)

taicaile · Feb 20, 2021 · 94519f0 · 94519f0
1 parent 8d64344
commit 94519f0
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/utils/loss.py b/utils/loss.py
@@ -105,8 +105,8 @@ def __init__(self, model, autobalance=False):
             BCEcls, BCEobj = FocalLoss(BCEcls, g), FocalLoss(BCEobj, g)
 
         det = model.module.model[-1] if is_parallel(model) else model.model[-1]  # Detect() module
-        self.balance = {3: [4.0, 1.0, 0.4], 4: [4.0, 1.0, 0.25, 0.06], 5: [4.0, 1.0, 0.25, 0.06, .02]}[det.nl]
-        self.ssi = (det.stride == 16).nonzero(as_tuple=False).item()  # stride 16 index
+        self.balance = {3: [4.0, 1.0, 0.4]}.get(det.nl, [4.0, 1.0, 0.25, 0.06, .02])  # P3-P7
+        self.ssi = list(det.stride).index(16) if autobalance else 0  # stride 16 index
         self.BCEcls, self.BCEobj, self.gr, self.hyp, self.autobalance = BCEcls, BCEobj, model.gr, h, autobalance
         for k in 'na', 'nc', 'nl', 'anchors':
             setattr(self, k, getattr(det, k))