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What is the expected normalization before calculating MSE? I was thinking about casting the pixel values to [0, 1] but would like to make sure here.
The definition of SSIM appears to have several parameters. I used the default ones from skimage. Is that also what you did?
For LPIPS, my understanding is that the metric value is affected by the pretained network weights. I used the vgg network from this link. It will be helpful if you can let me know what network you use.
Thanks in advance!
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@chensong1995 Hello, I also encountered the same evaluation indicator calculation problem.
When I calculated the SSIM index according to the method you said, the results obtained were far from the data in the paper. Did you get the results similar to those in the paper?
For anyone seeking quantitative evaluation, you can utilize EVREAL, our library designed to evaluate and analyze PyTorch-based event-based video reconstruction methods (including E2VID).
Hello there,
Thank you for your great work! This is a follow-up question to #17. I would really appreciate it if you would provide some further clarification.
In total, this gives 1856 frames, which is a little bit different than the expected 1670 frames. Here is how I count the frames:
[0, 1]
but would like to make sure here.Thanks in advance!
The text was updated successfully, but these errors were encountered: