maixpy 4.12.5 不能支持四分类yolo26
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- Dominant language
- Python
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Description
- 问题背景：在远程服务器微调一个四分类的yolov26n，导出onnx后转化为cvimodel，输出层按照官网规定的设置（如图）
- 问题：在maixcam中运行时报错：RuntimeError: : Unknown error: need 3 bbox and 3 cls outputs
- 换成九分类的yolov26可以正常运行，怀疑是四分类下maixpy4.12.5版本不能分清bbox和cls
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No source file, test, or entry point is named. Start by reproducing the four-class YOLO26 ONNX-to-cvimodel flow on MaixCam with MaixPy 4.12.5, then compare it with the working nine-class case. Done means the four-class model runs without the “need 3 bbox and 3 cls outputs” error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, embedded-iot
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 45/100