Perceptual Speed Index
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FYI pat meenan now has a standalone project for calculating metrics like this: https://github.com/WPO-Foundation/visualmetrics
It includes perceptual speed index; https://github.com/WPO-Foundation/visualmetrics/blob/master/visualmetrics.py#L820-L855
While SI uses color distribution to compare two frames, perSI uses SSIM instead.
What do you think about doing the same here in speedline? image-ssim looks very well done. Hmm!
That's a great idea. I tried to implement the perSI with the image-ssim, unfortunately the results were not great. I think it worth giving another shot!
I have started to implement it on #20
I used the same approach, however the perceived speed index value is really different from the standard approach value. This is due to the fact that the visual progress of the first frame is not 0.
I think that we should remap the value from 0 to 100 if we want to compare the standard and the perceived approach. It doesn't seams that visualmetric is doing this.
@paulirish What do you think ?