You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I ran the command "python3 iSeeBetterTest.py" for evaluation and used netG_epoch_4_1.pth model.
Used the foliage_test.txt,calendar_test.txt and city_test.txt as the input for images .
I got the PSNR values25.16 , 21.66 , 25.69 respectively
But the paper reports 26.57, 24.13, 28.34 respectively
I also tried to calculate the PSNR values on all the images in all scenes of Vid.
The PSNR I got for foliage ,calendar ,city ,walk is 24.65 , 22.01 , 26.09 , 29.04 respectively which still doesn't match the result reported by the paper
Please may I know if I m missing something because of which i m not able to produce the same result
The text was updated successfully, but these errors were encountered:
TE-ShreenidhiRamachandran
changed the title
Does any model provided in repo produce the same result mentioned in the paper?.If it does.Please may i know which is the weight file?
Issue in Reproducing the same result as mentioned in paper
May 10, 2021
I ran the command "python3 iSeeBetterTest.py" for evaluation and used netG_epoch_4_1.pth model.
Used the foliage_test.txt,calendar_test.txt and city_test.txt as the input for images .
I got the PSNR values25.16 , 21.66 , 25.69 respectively
But the paper reports 26.57, 24.13, 28.34 respectively
I also tried to calculate the PSNR values on all the images in all scenes of Vid.
The PSNR I got for foliage ,calendar ,city ,walk is 24.65 , 22.01 , 26.09 , 29.04 respectively which still doesn't match the result reported by the paper
Please may I know if I m missing something because of which i m not able to produce the same result
The text was updated successfully, but these errors were encountered: