Megvii-BaseDetection / Megvii-BaseDetection/YOLOX
yolox_nano和tiny运行AP=0，其余正常，请问nano如何训练？
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Description
python -m yolox.tools.train -n yolox-s -d 1 -b 8 --fp16 -o --cache # 一切正常
当运行nano或tiny时ap=0.是不是还需要修改很多东西？
python -m yolox.tools.train -n yolox-nano -d 1 -b 8 --fp16 -o --cache
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Research direction
Start with the yolox.tools.train entry point and compare the working yolox-s command with the yolox-nano command shown in the issue. Reproduce the training run and inspect the configuration and output for nano or tiny. Done means identifying why AP is zero and documenting a verified training command or required configuration changes.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100