Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
How can I evaluate model inference on CPU?
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- Dominant language
- Python
- Stars
- 10.6k
- Forks
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Description
How can I evaluate model inference on CPU?
I have no idea to evaluate.
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
Start with the YOLOX documentation and existing inference or evaluation guidance. Determine how CPU inference should be evaluated and what metrics or commands users need; done means a clear, reproducible procedure is documented for CPU evaluation.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100