Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
关于最好精度的问题
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 2.5k
- PR merge metrics
- No merged PRs in 30d
Description
你好，我训练yolox-x，使用的是github上的训练指令。训练完成后，训练日志中的最好精度是50.28，但是我又用推理脚本单独地推理了best_ckpt.pth，得到的精度确是50.7，我想知道造成这两者不相同的原因是什么呢？是不是推理脚本有什么细节不一样？期待您的回答。
Contributor guide
No contributing guide indexed for this repository
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
Compare the training command's logged validation path with the standalone inference of best_ckpt.pth, starting with the training and inference entry points mentioned in the report. Reproduce the two evaluations and identify which evaluation settings or metric calculations produce 50.28 versus 50.7; done means explaining the discrepancy and confirming consistent results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100