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TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization
Hello, I would like to know the configuration parameters of multiTHUMOS that you used in ActionFormer when you were doing the comparison experiment. Can you send a copy parameter?
自己的数据怎么提pkl文件
Very simple but effective model! Howerver, I notice you use SimOTA in your code, but Actionformer does not use it. So I want to know if SimOTA can bring some performance improvement.
When first training THUMOS, an AttributeError was raised:
AttributeError: module 'numpy' has no attribute 'float'
Now we often use 'np.float32' with the fact that 'np.float' has been deprecated in NumPy. But it still exists in 'libs/utils/metrics.py'.
I performed scripts/multithumos/train.sh
and test.sh
to reproduce the experiment, but it can't achieve the official performance
Method | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | Avg |
---|---|---|---|---|---|---|---|---|---|---|
Official | 49.1 | 47.5 | 44.3 | 39.4 | 33.4 | 26.5 | 17.4 | 9.1 | 2.24 | 29.9 |
Reproduce | 41.04 | 39.72 | 37.10 | 33.58 | 28.37 | 22.12 | 15.07 | 7.84 | 1.96 | 25.20 |
above is my reproduce result, how should I adjust the ymal setting to achieve the official result
Thanks
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