Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
误检
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- Dominant language
- Python
- Stars
- 10.6k
- Forks
- 2.5k
- PR merge metrics
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Description
您好,我利用您提供的预训练模型做目标检测,正常一米外的距离检测较好,但是距离较近的物体,比如一米内,就会发生误检,请问这个有什么合理的解释吗
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
No file, test, or entry point is named. Start by reproducing the reported behavior with the provided pretrained model at different distances and review the inference assumptions and available object-detection examples. Done would require a documented explanation supported by reproduction results or a clearly identified fix.
Written by the indexing model from the issue text.
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
- 20/100