Yes, I assume thats the one also, or for EEDI2 and BFF clip:
Code:
o=last
AssumeBFF().SeparateFields()
dbl = mt_Average( SelectEven().EEDI2(field=0, maxd=4),
\ SelectOdd() .EEDI2(field=1, maxd=4), U=3,V=3 )
dblD = mt_MakeDiff(o,dbl,U=3,V=3)
shrpD = mt_MakeDiff(dbl,dbl.RemoveGrain(11),U=3,V=3)
DD = shrpD.Repair(dblD,13)
dbl.mt_AddDiff(DD,U=3,V=3)
Problem there is that even with the EEDI2 maxd set down to 4, there is still some disruption of high contrast line patterns (like on the striped shirt in scene 3 of the clip). Dropping to maxd=2 helps to avoid this but then the anti-aliasing is less effective. Maxd=3 seems to offer a reasonable compromise.
The NNEDI version looks better in some areas (e.g. a bit less shimmering of figures on wall posters in scene 2, although more than in the original clip), but there appears to be more degradation of fine line patterns (e.g. striped shirt).