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EdwardLeeLPZ / PowerBEV

POWERBEV, a novel and elegant vision-based end-to-end framework that only consists of 2D convolutional layers to perform perception and forecasting of multiple objects in BEVs.
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mapping = (iou > 0.5).nonzero(as_tuple=False) #2

Closed BIT-MJY closed 1 year ago

BIT-MJY commented 1 year ago

Hi @EdwardLeeLPZ ,

I'm sorry to bother you again. Could you please tell me how to choose the proper threshold (0.5) in mapping = (iou > 0.5).nonzero(as_tuple=False) of the metrics.py since it affects the results seriously? Thanks!

EdwardLeeLPZ commented 1 year ago

Hi @EdwardLeeLPZ ,

I'm sorry to bother you again. Could you please tell me how to choose the proper threshold (0.5) in mapping = (iou > 0.5).nonzero(as_tuple=False) of the metrics.py since it affects the results seriously? Thanks!

Hello @BIT-MJY ,

I didn't make any change in the metrics.py but just follow the existing settings used in FIERY. And I also think this threshold should not be changed for a fair comparison.

BIT-MJY commented 1 year ago

Get it. Thanks!