Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
YOLOX calculate recall and precision
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- Python
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Description
I use VOC dataset for training. I'm doing a comparative experiment. I want to know how to see precision and recall. Now I can only see map. Other training models can be seen, such as faster R-CNN, yolov5, etc
Contributor guide
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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
No file, test, or entry point is identified in the issue. Start by locating the VOC evaluation path that currently reports mAP, then determine how precision and recall should be exposed and verify the results on a VOC training setup.
Written by the indexing model from the issue text.
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