Megvii-BaseDetection / Megvii-BaseDetection/LLA
Results on cityperson dataset
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- Python
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Description
Hi, thanks for sharing this excellent work! I have a question about the results on cityperson dataset. I trained the ATSS model on cityperson dataset and test on it with the code provided in cvpods/data/datasets/citypersons.py. I followed the same training setting as in Crowdhuman, as described in your paper. However I got unsatisfactory results (0.27 MR-2 on reasonable subset and 0.571 on HO subset) which has a huge gap with the results report in your paper. Do I miss something important? the config setting is as following:
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Research direction
Start with cvpods/data/datasets/citypersons.py and compare the configuration shown in the issue with the Crowdhuman training setting and the paper's reported setup. Reproduce the CityPersons evaluation and investigate the gap between the reported MR-2 values on the reasonable and HO subsets. Done means identifying the missing setting or documenting why the results differ.
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Assessment
- Tech stack
- python, pytorch
- 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