Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
Change num_classes for finetuning
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Description
Hello,
I try to finetune the yolox-l weights. My dataset containes only 8 classes while the pretrained weights of yolox-l are trained on 80 classes.
How can I change the classes on loaded model weights to my custom number of classes.
Thnx.
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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 with the YOLOX documentation linked in the repository description and the finetuning workflow for YOLOX-L weights. Determine whether the documented workflow covers adapting 80-class weights to an 8-class dataset; done would require a documented, reproducible procedure or a clarified implementation scope.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100