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2 changes: 1 addition & 1 deletion models/yolo.py
Original file line number Diff line number Diff line change
Expand Up @@ -110,8 +110,8 @@ def __init__(self, cfg='yolov5s.yaml', ch=3, nc=None, anchors=None): # model, i
s = 256 # 2x min stride
m.inplace = self.inplace
m.stride = torch.tensor([s / x.shape[-2] for x in self.forward(torch.zeros(1, ch, s, s))]) # forward
check_anchor_order(m) # must be in pixel-space (not grid-space)
m.anchors /= m.stride.view(-1, 1, 1)
check_anchor_order(m)
self.stride = m.stride
self._initialize_biases() # only run once

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2 changes: 1 addition & 1 deletion utils/autoanchor.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,7 @@

def check_anchor_order(m):
# Check anchor order against stride order for YOLOv5 Detect() module m, and correct if necessary
a = m.anchors.prod(-1).view(-1) # anchor area
a = m.anchors.prod(-1).mean(-1).view(-1) # mean anchor area per output layer
da = a[-1] - a[0] # delta a
ds = m.stride[-1] - m.stride[0] # delta s
if da.sign() != ds.sign(): # same order
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