Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
ONNX convert results
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 2.5k
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
when I tried to convert my yolo-s.pth to onnx model, the model performance get worse. (attached pic for bicycle detection) any solution
.
Thanks in advance
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
The issue does not name any files, tests, or entry points. Start by reproducing the YOLOX .pth-to-ONNX conversion and compare bicycle-detection performance before and after conversion; done would require identifying and resolving the conversion-related degradation.
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