Allow multi_label option for NMS with PyTorch Hub (#4728)

positive666 · Sep 10, 2021 · c392b8d · c392b8d
1 parent 6c09812
commit c392b8d
Showing 1 changed file with 4 additions and 2 deletions.
diff --git a/models/common.py b/models/common.py
@@ -408,8 +408,9 @@ class AutoShape(nn.Module):
     conf = 0.25  # NMS confidence threshold
     iou = 0.45  # NMS IoU threshold
     classes = None  # (optional list) filter by class
+    multi_label = False  # NMS multiple labels per box
     max_det = 1000  # maximum number of detections per image
-
+    
     def __init__(self, model):
         super(AutoShape, self).__init__()
         self.model = model.eval()
@@ -466,7 +467,8 @@ def forward(self, imgs, size=640, augment=False, profile=False):
             t.append(time_sync())
 
             # Post-process
-            y = non_max_suppression(y, self.conf, iou_thres=self.iou, classes=self.classes, max_det=self.max_det)  # NMS
+            y = non_max_suppression(y, self.conf, iou_thres=self.iou, classes=self.classes,
+                                    multi_label=self.multi_label, max_det=self.max_det)  # NMS
             for i in range(n):
                 scale_coords(shape1, y[i][:, :4], shape0[i])