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xv: bd: update vol 2

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louis f 2020-04-27 16:30:25 -04:00
parent 66dbe5e53f
commit b1b2aa6b54
2 changed files with 3 additions and 3 deletions
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2
Symphogear/XV [BD]/03/ep3.vpy
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@ -77,7 +77,7 @@ bm3d = core.std.ShufflePlanes([w2x, bm3d], planes=[0, 1, 2], colorfamily=vs.YUV)
denoise_2 = replace_ranges(scaled, bm3d, W2X_DENOISE) denoise_2 = replace_ranges(scaled, bm3d, W2X_DENOISE)
line = kgf.retinex_edgemask(denoise_2).std.Binarize(9500).rgvs.RemoveGrain(3).std.Inflate() line = kgf.retinex_edgemask(denoise_2).std.Binarize(9500).rgvs.RemoveGrain(3).std.Inflate()
deband = denoise_2.neo_f3kdb.Deband(range=18, y=32, cb=24, cr=24, grainy=24, grainc=0, output_depth=16, sample_mode=4) deband = denoise_2.neo_f3kdb.Deband(range=18, y=32, cb=24, cr=24, grainy=24, grainc=0, output_depth=16, sample_mode=4, keep_tv_range=True)
deband = core.std.MaskedMerge(deband, denoise_2, line) deband = core.std.MaskedMerge(deband, denoise_2, line)
# mask OP/ED credits, stolen from varde # mask OP/ED credits, stolen from varde

4
Symphogear/XV [BD]/04/ep4.vpy
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@ -79,7 +79,7 @@ bm3d = core.std.ShufflePlanes([w2x, bm3d], planes=[0, 1, 2], colorfamily=vs.YUV)
denoise_2 = replace_ranges(scaled, bm3d, W2X_DENOISE) denoise_2 = replace_ranges(scaled, bm3d, W2X_DENOISE)
line = kgf.retinex_edgemask(denoise_2).std.Binarize(9500).rgvs.RemoveGrain(3).std.Inflate() line = kgf.retinex_edgemask(denoise_2).std.Binarize(9500).rgvs.RemoveGrain(3).std.Inflate()
nf3kdb = denoise_2.neo_f3kdb.Deband(range=18, y=32, cb=24, cr=24, grainy=24, grainc=0, output_depth=16, sample_mode=4) nf3kdb = denoise_2.neo_f3kdb.Deband(range=18, y=32, cb=24, cr=24, grainy=24, grainc=0, output_depth=16, sample_mode=4, keep_tv_range=True)
nf3kdb = core.std.MaskedMerge(nf3kdb, denoise_2, line) nf3kdb = core.std.MaskedMerge(nf3kdb, denoise_2, line)
placebo = denoise_2.placebo.Deband(iterations=3, threshold=3, radius=24, grain=4) placebo = denoise_2.placebo.Deband(iterations=3, threshold=3, radius=24, grain=4)
placebo2 = denoise_2.placebo.Deband(iterations=3, threshold=5, radius=32, grain=4) placebo2 = denoise_2.placebo.Deband(iterations=3, threshold=5, radius=32, grain=4)
@ -95,4 +95,4 @@ credit = core.std.MaskedMerge(deband, denoise, credit_m)
final = credit final = credit
final = adaptive_grain(final, 0.3) final = adaptive_grain(final, 0.3)
final = core.fmtc.bitdepth(final, bits=10, dmode=3) final = core.fmtc.bitdepth(final, bits=10, dmode=3)
final.set_output() final.set_output()