Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
Classification accuracy during training
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- Dominant language
- Python
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Description
I was using YOLOX and I wanted to know if it's possible to measure the classification accuracy during the training of the model (for example, for each batch). Classification accuracy here is defined as: (correctly predicted / total). Appreciate any help.
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First steps
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Research direction
No file, test, or entry point is identified in the issue. Start by locating the training loop and existing loss or metric reporting, then determine how classification accuracy would be defined and exposed per batch; done should include a verifiable training-time accuracy result.
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Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100