The autoanchor result is not same as anchors in model? #6966
Description
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Question
v6.1
The autoanchor result is not same as anchors in model.
I trained my data with autoanchor, and get this:
�[34m�[1mAutoAnchor: �[0mn=9, img_size=640, metric_all=0.571/0.910-mean/best, past_thr=0.583-mean: 25,97, 95,33, 35,95, 45,90, 86,52, 58,82, 73,68, 52,135, 106,81
After training, I print anchor from model but get:
YOLOv5 2022-2-22 torch 1.8.1+cu111 CPU
tensor([[[ 18.29688, 17.03125],
[ 12.88281, 33.62500],
[ 26.46875, 20.29688]],
[[ 44.90625, 90.37500],
[ 85.81250, 51.71875],
[ 58.37500, 81.87500]],
[[100.62500, 388.50000],
[381.25000, 132.25000],
[139.75000, 379.50000]]])
Only P4 same.
Additional
I got the log from models\hub\anchors.yaml but P3/P4/P5/P6 are same:
# P6-640: thr=0.25: 0.9964 BPR, 5.54 anchors past thr, n=12, img_size=640, metric_all=0.281/0.716-mean/best, past_thr=0.469-mean: 9,11, 21,19, 17,41, 43,32, 39,70, 86,64, 65,131, 134,130, 120,265, 282,180, 247,354, 512,387
anchors_p6_640:
- [9,11, 21,19, 17,41] # P3/8
- [43,32, 39,70, 86,64] # P4/16
- [65,131, 134,130, 120,265] # P5/32
- [282,180, 247,354, 512,387] # P6/64
I also print the offical release model yolov5n.pt, both anchors in model and trainning autoanchor prints are same.
Is it normal?