Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
模型转换为trt后推理时漏检特别多
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- Dominant language
- Python
- Stars
- 10.6k
- Forks
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Description
我用yolox-x训练了一个自己的检测模型，共两个分类，转换为tensorrt后，其中一个分类的漏检特别多，同一张图片，用未转换为trt的模型权重推理没问题，用trt权重推理就会漏检（两个分类都能检测到）
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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
Start by reproducing the report with the YOLOX-X model and the same image, comparing inference with the unconverted weights and the TensorRT weights. The issue does not name files, tests, versions, conversion commands, or entry points, so first identify the conversion and inference paths used. Done means explaining and correcting the class-specific missed detections, with a reproducible comparison confirming both classes behave consistently.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100