yolov8s在960x960输入size存在较大概率误检，同一个模型用onnx或者torch推理正常的

[asflower]

Env

• GPU, e.g. V100, RTX2080, TX2, Xavier NX, Nano, etc.
  GTX1660S、RTX2080Ti
• OS, e.g. Ubuntu16.04, Win10, etc.
  Ubuntu1804
• Cuda version
  cuda-11.4
• TensorRT version
  8.5

About this repo

• which branch/tag/commit are you using?
  master
• which model? yolov5, retinaface?
  yolov8s

Your problem

1、yolov8s，960x960的模型，当输入图像小于960x960时，较大概率一些类别存在误检情况;
2、同一个模型，改成640x640输入，误检消失;
3、同一个模型、同一批图像，用onnx或者torch推理正常，没有误检;

[wang-xinyu]

@lindsayshuo 帮忙确认下呢

[lindsayshuo]

训练的参数我看看

[asflower]

不好意思，我这边对模型训练不是太了解，这里只做工程部署。
我怀疑问题可能出在编译的engine模型上，之前也尝试过替换前处理，问题还是存在

[stale]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

[RaidenCJ]

你好，请问找到原因了么？ 方便共享下解决方案么 @asflower 我也遇到了这个问题

[lindsayshuo]

已解决，看最新代码