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The released pretrained model cannot obtain the PSNR reported in the paper? #48
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Hi, I think I figured out this problem~ BTW, the bug in eval.py line73 still remains. |
Can you please highlight what changes you have made ..I am getting all pixels as invalid and psnr as nan.. |
Here is the eval.py which I have modified.
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Hi, thanks for your work.
I downloaded the pretrained model in your link and tested the RBPN_4x.pth model on Vid4 test set. However, the results confused me. I got the following performance: calendar=22.2495 (paper
23.99), city=26.1635 (paper 27.73), foliage=24.7383 (paper 26.22), walk=29.2091 (paper 30.70). I wonder why it underperforms the expeted results in the paper. It would be nice of you if you could tell me how to reproduce the reported results using the pretrained models.
Thanks a lot.
BTW, I think there is a small bug in eval.py line73. It should be count=0.
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