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Hi, I don't understand the code for the evaluation on the world cup dataset. There seems to be a discretization of the soccer pitch shape : https://github.com/vcg-uvic/sportsfield_release/blob/master/utils/metrics.py#L94 and thresholding then : https://github.com/vcg-uvic/sportsfield_release/blob/master/utils/metrics.py#L102 Is it an approximation of the IoU or is there something that I am missing ? Thanks for your help :)
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Yes, this is kind of a approximation if IoU using rasterization(simple resample). We didn't go with the geometric way, for example using Shapely.
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Hi,
I don't understand the code for the evaluation on the world cup dataset. There seems to be a discretization of the soccer pitch shape : https://github.com/vcg-uvic/sportsfield_release/blob/master/utils/metrics.py#L94
and thresholding then :
https://github.com/vcg-uvic/sportsfield_release/blob/master/utils/metrics.py#L102
Is it an approximation of the IoU or is there something that I am missing ? Thanks for your help :)
The text was updated successfully, but these errors were encountered: