Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
tensorrt8该怎么部署？
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- Python
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Description
好像目前demo中的tensorrt是7.2的版本，我如果用tensorrt8，该怎么去部署呢，能不能增加相应的demo?
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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 reading the existing TensorRT 7.2 demo and deployment instructions referenced in the issue. Determine the TensorRT 8 deployment differences and document them or add a corresponding demo; done means users can deploy YOLOX with TensorRT 8 through a reproducible, verified path.
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Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100