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can you help me debug my code, when i run it my training loss comes around 28 for some reason , I downloaded the same repo and set the paths and everything but my training loss comes out to around 28, my img_mean is also different for some reason when I use the preprocessing.py to calculate the mean and std my values are around 80 and not between 0 and 1 although I am using the image_3 data set from KITTI like described in the repo. can someone guide in this regard ? can @ChiWeiHsiao or @alexart13 help here ?
I will try downloading the repo again if I made any mistakes, do i have to normalize the images ? even though the I believe the code normalizes them ?
The text was updated successfully, but these errors were encountered:
can you help me debug my code, when i run it my training loss comes around 28 for some reason , I downloaded the same repo and set the paths and everything but my training loss comes out to around 28, my img_mean is also different for some reason when I use the preprocessing.py to calculate the mean and std my values are around 80 and not between 0 and 1 although I am using the image_3 data set from KITTI like described in the repo. can someone guide in this regard ? can @ChiWeiHsiao or @alexart13 help here ?
I will try downloading the repo again if I made any mistakes, do i have to normalize the images ? even though the I believe the code normalizes them ?
The text was updated successfully, but these errors were encountered: