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It's a shame --filter-time in vspipe isn't more developed. Apologies if I'm being obtuse, but: Your code sample returns: ``AttributeError: module 'muvs' has no attribute 'recorder'. Did you mean: 'Recorder'?'``...

Ah, this should be ``vs.VideoFormat`` I think. After changing this, I can run muvsfunc.GradFun3(img) in the example I've given. ~~But your snippet still errors.~~ https://github.com/WolframRhodium/muvsfunc/blob/8221fbcc98a1b212623d5d53501cbafb922c7846/muvs.py#L182 Edit: Yes I was being...

>Gaussian blur can be implemented using tcanny.TCanny (which is what ex_GradFun3 seems to use) Small correction, it appears that ex_GradFun3 is using ex_GaussianBlur which is an approximate gaussian blur and...

Actually a friend of mine has pointed out that dither tools GradFun3 is even faster when using ConvertToStacked(). **all testing is done with radius=9 for parity with fvsfunc unless otherwise...

I have a Zen 2 CPU, so I may not be an ideal candidate. I'm not sure which of the modes at https://github.com/Dogway/Avisynth-Scripts/blob/master/ExTools.avsi#L957 are most equivalent. Please advise. I have...

No, it does not appear that it would. Please re-evaluate my post. I am facing the same issue that I have described here: https://github.com/HomeOfVapourSynthEvolution/VapourSynth-TCanny/issues/12 Increasing thread counts past 6 causes...

Vapoursynth classic is faster https://github.com/AmusementClub/VapourSynth-Portable-Maker But the issue persists. core.num_threads = 6 ``` .\VSPipe.exe -p .\boxblur.vpy -o 1 . Script evaluation done in 0.03 seconds Output 2000 frames in 3.83...

> And what about `smode=1`? muvsfunc.GradFun3 using smode=1 is faster than both Avisynth versions. Using upstream VS here (not VS-Classic) smode=1: dithertools: ``FPS (min | max | average): 0.824 |...

Above comment updated with other smodes. > Maybe `core.max_cache_size` should be set to a larger threshold? Please advise, what is an acceptable 'larger' threshold? Using a 3900X. I see no...

Performance with 2000, 4000, 6000, 8000, and 12000 are within the expected deviation as when it is set to 1, 50, or 200