Megvii-BaseDetection / Megvii-BaseDetection/BEVDepth
How can I get the results you reported in the programme?
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- Dominant language
- Python
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Description
I did three experiments on the benchmark model bev_depth_lss_r50_256×704_128×128_24e_2key.py,but my map is only 0.30 at the highest and NDS is 0.37 at the highest,the result you reported in the program is map:0.33; NDS:0.43 exists a big distance,I don't know how to get the expected result. I would like to know if the author has any training tips?
I am training on a 3090Ti with bachsize=8, thank you very much if the author can answer this!
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Research direction
Start with the benchmark configuration bev_depth_lss_r50_256×704_128×128_24e_2key.py and compare its reported mAP 0.33 and NDS 0.43 with the three experiments that reached 0.30 and 0.37. Check the stated batch size of 8 and 3090Ti training setup, then document the settings or steps required to reproduce the expected metrics.
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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
- 20/100