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Allow multi_label option for NMS with PyTorch Hub (ultralytics#4728)
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* Allow specifying multi_label option for NMS when using torch hub

* Reformat

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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2 people authored and CesarBazanAV committed Sep 29, 2021
1 parent 8f2c58c commit 665394f
Showing 1 changed file with 3 additions and 1 deletion.
4 changes: 3 additions & 1 deletion models/common.py
Original file line number Diff line number Diff line change
Expand Up @@ -278,6 +278,7 @@ 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):
Expand Down Expand Up @@ -337,7 +338,8 @@ 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])

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