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loss function like has a bug #1988
Description
Activity
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@rrjia hi thanks for the bug report and the screenshot! We have updated the loss function recently, creating a new ComputeLoss() class to replace it. Can you verify that you see the same bug in the most recent code please?
You can update your code with git pull, or alternatively you can git clone https://github.com/ultralytics/yolov5 again.
@rrjia if I try to reproduce by training with default settings and placing a breakpoint here, everything looks correct:
sorry it's my fault, the model get A list of length 3, i use y[0] input compute_loss function, thank you.


🐛 Bug
A clear and concise description of what the bug is.
utils/loss.py line108
for yolov5s.yaml
if i=1
p[i].shape = 3,80,80,85
gain[2:6] = [85, 80, 85, 80]
it shoud be [80, 80, 80, 80]