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I want to inform you that I have changed only the classes at the code level.
Please find below the results I obtained:
impervious surface = nan
building = 0.99
pervious surface = nan
high vegetation = nan
car = nan
water = nan
sport venues = nan
Please I would like to know why the nan in the all classes except the Building class
Thank you for your help
The text was updated successfully, but these errors were encountered:
Hello Sir,
Please I tried to apply the Segnet-Pytorch code you developed using the SEMCITY TOULOUSE dataset
(http://rs.ipb.uni-bonn.de/data/semcity-toulouse/)
I want to inform you that I have changed only the classes at the code level.
Please find below the results I obtained:
impervious surface = nan
building = 0.99
pervious surface = nan
high vegetation = nan
car = nan
water = nan
sport venues = nan
Please I would like to know why the nan in the all classes except the Building class
Thank you for your help
The text was updated successfully, but these errors were encountered: