Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
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- Python
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Description
many thanks for sharing YoloX, it's amaing model with really good speed.
I get a problem related to model performance. I notice that there is no image preprocessing (except padding), by using non-normalized img, can we get the same result as you mentioned in the paper? e.g. 0.5 mAP from YoloX-l
or do you have other pretrained weight for normalized-img?
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Research direction
Review YOLOX's reported image-preprocessing behavior and compare it with the YOLOX-L evaluation setup described in the paper. Verify whether the claimed 0.5 mAP assumes normalized images and whether normalized-image pretrained weights exist. Done means documenting the supported preprocessing and resolving the reported performance discrepancy.
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Assessment
- Tech stack
- python
- 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