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loss function like has a bug #1988
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👋 Hello @rrjia, thank you for your interest in 🚀 YOLOv5! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution. If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you. If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available. For business inquiries or professional support requests please visit https://www.ultralytics.com or email Glenn Jocher at glenn.jocher@ultralytics.com. RequirementsPython 3.8 or later with all requirements.txt dependencies installed, including $ pip install -r requirements.txt EnvironmentsYOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
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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 |
@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]
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