Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
evaluation using onnx model
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- Dominant language
- Python
- Stars
- 10.6k
- Forks
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Description
Is there any way to evaluate the model using model exported in onnx format?
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
No file, test, or evaluation entry point is named. Start by locating the repository's ONNX export and evaluation documentation, then determine whether an exported ONNX model can be evaluated through an existing workflow; done requires a documented or implemented evaluation path with a clear validation procedure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100