def denoise_and_rescale(clip):
denoise = hybrid_denoise(clip, 0.5, 2)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debicubic(luma, w, h, b, c)
upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
'_shaders/FSRCNNX_x2_56-16-4-1.glsl',
core.resize.Point)
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.3,
beta=0.45,
gamma=320,
mdis=18)
scaled = muvf.SSIM_downsample(antialias,
src.width,
src.height,
kernel='Bicubic')
rescale = core.std.MaskedMerge(luma, scaled, line_mask)
merged = vdf.merge_chroma(rescale, out)
return depth(merged, 16)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 32)
h = 720
w = get_w(h)
b, c = vdf.get_bicubic_params('robidoux')
denoise = hybrid_denoise(src, 0.5, 2)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debicubic(luma, w, h, b, c)
upscale = vdf.fsrcnnx_upscale(descale, None, descale.height*2, '_shaders/FSRCNNX_x2_56-16-4-1.glsl', core.resize.Point)
antialias = single_rate_antialiasing(upscale, 13, alpha=0.3, beta=0.45, gamma=320, mdis=18)
scaled = muvf.SSIM_downsample(antialias, src.width, src.height, kernel='Bicubic')
rescale = core.std.MaskedMerge(luma, scaled, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
# Slight sharp though CAS
sharp = hvf.LSFmod(out, strength=75, Smode=3, Lmode=1, edgemode=1, edgemaskHQ=True)
out = sharp
dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
out = dering
warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
out = warp
preden = core.knlm.KNLMeansCL(out, d=0, a=3, h=0.6, device_type='GPU', channels='Y')
deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
deband = dbs.f3kpf(out, 17, 42, 42)
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
adg_mask = core.adg.Mask(out.std.PlaneStats(), 20).std.Expr(f'x x {128<<8} - 0.25 * +')
grain = core.grain.Add(out, 0.2, constant=True)
grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
out = grain
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src
h = 720
w = get_w(h)
fixedges = awf.bbmod(out, 2, 2, 2, 2, 64 << 8, 999)
out = fixedges
clean = core.knlm.KNLMeansCL(out,
h=0.55,
a=2,
d=3,
device_type='gpu',
device_id=0,
channels='UV')
clean = core.knlm.KNLMeansCL(clean,
h=0.55,
a=2,
d=3,
device_type='gpu',
device_id=0,
channels='Y')
diff_den = core.std.MakeDiff(out, clean)
out = depth(clean, 32)
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debilinear(luma, w, h)
upscale = vdf.nnedi3_upscale(descale, correct_shift=False,
pscrn=1).resize.Bicubic(src.width,
src.height,
src_left=.5,
src_top=.5)
rescale = core.std.MaskedMerge(luma, upscale, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
moozzi = warping(out, 0.4, 4)
sharp = hvf.LSFmod(moozzi,
strength=95,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
deband_mask = lvf.denoise.detail_mask(out, brz_a=2000, brz_b=1000)
deband = dbs.f3kpf(out, 17, 30, 30)
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
grain_org = core.std.MergeDiff(out, diff_den)
out = grain_org
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
ep10 = JPBD_10.src_cut
h = 720
w = get_w(h)
b, c = vdf.get_bicubic_params('robidoux')
opstart, opend = 672, 3068
edstart, edend = 31888, src.num_frames - 1
opstart_ep10, opend_ep10 = 768, 3164
full_stuff = [(3853, 3984), (16130, 16279)]
# Fix borders of the henshin
start, end = 26596, 27387
white_clip = core.std.BlankClip(src, color=[235, 128, 128])
# Good length for the three henshins
hibiki = TRANSFOS.src_cut[912:1716]
hibiki = core.std.DeleteFrames(hibiki, [203, 204])
hibiki = core.std.DeleteFrames(hibiki, range(316, 320))
hibiki = core.std.DeleteFrames(hibiki, range(391, 394))
tsubasa = TRANSFOS.src_cut[2178:2738]
tsubasa = core.std.DuplicateFrames(white_clip[:8] + tsubasa, range(10, 20))
tsubasa = core.std.DuplicateFrames(tsubasa, range(196, 203))
tsubasa = core.std.DuplicateFrames(tsubasa, [443, 443, 443])
yukine = TRANSFOS.src_cut[3240:3828]
# The intro
intro = 203
new_tranfos = hibiki[:intro]
# Adjust croppings
hibiki_crop_a = core.std.Crop(hibiki[intro:], src.width / 3, src.width / 3,
0, 0)
dev = -150
hibiki_crop_b = core.std.Crop(hibiki[intro:], src.width / 3 + dev,
src.width / 3 - dev, 0, 0)
dev = -270
hibiki_crop_c = core.std.Crop(hibiki[intro:], src.width / 3 + dev,
src.width / 3 - dev, 0, 0)
hibiki_crop = lvf.rfs(hibiki_crop_a, hibiki_crop_b,
[(391 - intro, 471 - intro)])
hibiki_crop = lvf.rfs(hibiki_crop, hibiki_crop_c,
[(472 - intro, 552 - intro)])
tsubasa_crop_a = core.std.Crop(tsubasa, src.width / 3, src.width / 3, 0, 0)
dev = -400
tsubasa_crop_b = core.std.Crop(tsubasa, src.width / 3 + dev,
src.width / 3 - dev, 0, 0)
tsubasa_crop = lvf.rfs(tsubasa_crop_a, tsubasa_crop_b,
[(445 - intro, 460 - intro)])
tsubasa_crop = (tsubasa_crop[:461 - intro] + core.std.FrameEval(
tsubasa_crop[461 - intro:478 - intro],
partial(_prog_crop, clip=tsubasa[461 - intro:478 - intro], dev=dev)) +
tsubasa_crop[478 - intro:])
yukine_crop = core.std.Crop(yukine, src.width / 3, src.width / 3, 0, 0)
# Stack & merge
new_tranfos += core.std.StackHorizontal(
[tsubasa_crop, hibiki_crop, yukine_crop])
src = insert_clip(src, new_tranfos[:end - start], start)
# Fix compositing error in the OP
op_src, op_10 = src[opstart:opend + 1], ep10[opstart_ep10:opend_ep10 + 1]
fix = lvf.rfs(op_src, op_10, [(0, 79), (1035, 1037)])
fix_src = insert_clip(src, fix, opstart)
src = depth(fix_src, 32)
denoise = hybrid_denoise(src, 0.5, 2)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debicubic(luma, w, h, b, c)
upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
'_shaders/FSRCNNX_x2_56-16-4-1.glsl',
core.resize.Point)
upscale_smooth = vdf.nnedi3_upscale(descale, pscrn=1)
upscale = vdf.fade_filter(upscale, upscale, upscale_smooth, 18018, 18068)
upscale = lvf.rfs(upscale, upscale_smooth, [(18068, 18134)])
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.3,
beta=0.45,
gamma=320,
mdis=18)
scaled = muvf.SSIM_downsample(antialias,
src.width,
src.height,
kernel='Bicubic')
rescale = core.std.MaskedMerge(luma, scaled, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
antialias = lvf.rfs(
out,
lvf.sraa(out,
1.65,
9,
alpha=0.3,
beta=0.45,
gamma=240,
nrad=3,
mdis=25), [(opstart + 840, opstart + 881)])
antialias_a = lvf.sraa(out,
1.3,
3,
alpha=0.3,
beta=0.45,
gamma=40,
nrad=3,
mdis=25)
antialias_b = lvf.sraa(out,
1.85,
13,
alpha=0.3,
beta=0.6,
gamma=400,
nrad=2,
mdis=15)
antialias = vdf.fade_filter(antialias, antialias_a, antialias_b, 12718,
12861)
antialias = lvf.rfs(antialias, antialias_b, [(24063, 24149)])
out = antialias
# Slight sharp though CAS
sharp = hvf.LSFmod(out,
strength=75,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
out = dering
warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
out = warp
preden = core.knlm.KNLMeansCL(out,
d=0,
a=3,
h=0.6,
device_type='GPU',
channels='Y')
deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
deband = dbs.f3kpf(out, 17, 42, 42)
deband_b = placebo.deband(out, 22, 6, 2)
deband = lvf.rfs(deband, deband_b, [(opstart + 1515, opstart + 1603)])
deband_c = placebo.deband(out, 10, 3, 1)
deband = lvf.rfs(deband, deband_c, [(241, 300), (11076, 11183)])
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
adg_mask = core.adg.Mask(out.std.PlaneStats(),
20).std.Expr(f'x x {128<<8} - 0.25 * +')
grain = core.grain.Add(out, 0.2, constant=True)
grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
out = grain
rescale_mask = vdf.drm(luma, b=b, c=c, sw=4, sh=4)
ref, rescale_mask, src, src_ncop, src_nced = [
depth(x, 16) for x in
[denoise, rescale_mask, src, JPBD_NCOP.src_cut, JPBD_NCED.src_cut]
]
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask),
full_stuff)
out = credit
src_c, src_ncop, src_nced = [
c.knlm.KNLMeansCL(a=7, h=35, d=0, device_type='gpu')
for c in [src, src_ncop, src_nced]
]
opening_mask = vdf.dcm(out, src_c[opstart:opend + 1],
src_ncop[:opend - opstart + 1], opstart, opend, 4,
4).std.Inflate()
ending_mask = vdf.dcm(out, src_c[edstart:edend + 1],
src_nced[:edend - edstart + 1], edstart, edend, 4,
4).std.Inflate()
credit_mask = core.std.Expr([opening_mask, ending_mask], 'x y +')
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, credit_mask),
[(opstart, opend), (edstart, edend)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src
opstart, opend = 59, 1630
edstart, edend = 30776, src.num_frames-1
h = 846
w = get_w(h)
cubic_filters = ['catrom', 'mitchell', 'robidoux', 'robidoux sharp']
cubic_filters = [vdf.get_bicubic_params(cf) for cf in cubic_filters]
degrain = hybrid_denoise(out, 0.35, 1.2, dict(a=2, d=1))
out = degrain
y = get_y(out)
y32 = depth(y, 32)
lineart = vdf.edge_detect(y32, 'kirsch', 0.055, (1, 1)).std.Median().std.Inflate()
descale_clips = [core.descale.Debicubic(y32, w, h, b, c) for b, c in cubic_filters]
descale = core.std.Expr(descale_clips, 'x y z a min min min x y z max max min')
conv = core.std.Convolution(descale, [1, 2, 1, 2, 0, 2, 1, 2, 1])
thr, coef = 0.013, 3
descale_fix = core.std.Expr([descale, conv], f'x y - abs {thr} < y x ?').std.PlaneStats()
adapt_mask = core.adg.Mask(descale_fix, 12).std.Invert().std.Expr(f'x 0.5 - {coef} * 0.5 + 0 max 1 min')
descale = core.std.MaskedMerge(descale, descale_fix, adapt_mask)
upscale = vdf.fsrcnnx_upscale(descale, w*2, h*2, r'shaders\FSRCNNX_x2_56-16-4-1.glsl', upscaler_smooth=eedi3_upscale,
profile='zastin', sharpener=partial(gf.DetailSharpen, sstr=1.25, power=4))
aa_strong = sraa_eedi3(upscale, 13, alpha=0.3, beta=0.5, gamma=40)
aa = aa_strong
down = muvf.SSIM_downsample(aa, src.width, src.height, filter_param_a=0, filter_param_b=0)
upscale = depth(
core.std.MaskedMerge(y32, down, lineart), 16
)
merged = vdf.merge_chroma(upscale, out)
out = merged
y = get_y(out)
detail_light_mask = lvf.denoise.detail_mask(y, brz_a=2500, brz_b=1200)
pf = iterate(out, core.std.Maximum, 2).std.Convolution([10] * 9, planes=0)
diff = core.std.MakeDiff(out, pf)
deband = core.f3kdb.Deband(pf, 17, 36, 36, 36, 12, 12, 2, keep_tv_range=True, output_depth=16)
deband = core.std.MergeDiff(deband, diff)
deband = core.std.MaskedMerge(deband, out, detail_light_mask)
out = deband
grain = adptvgrnMod(out, 0.25, 0.15, size=out.height/h, sharp=80, luma_scaling=10, static=True)
out = grain
# # Restore 1080p stuff
ref = src
rescale_mask = vdf.drm(ref, h, mthr=65, sw=4, sh=4)
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask, 0),
[(opstart, opend), (1634, 1728), (edstart, edend)])
credit = lvf.rfs(credit, ref, [(15200, 15271)])
out = credit
return depth(out, 10).std.Limiter(16<<2, [235<<2, 240<<2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src += src[-1]
# Variables
opstart, opend = 2206, 4362
eptitle_s, eptitle_e = 4363, 4482
edstart, edend = 31528, 33685
preview_s, preview_e = 33686, src.num_frames - 1
h = 720
w = get_w(h)
edges = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
out = depth(edges, 32)
ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
denoise = hybrid_denoise(out, 0.35, 1.75, dict(a=2, d=1),
dict(ref=depth(ref, 32)))
out = denoise
y = get_y(out)
lineart = vdf.edge_detect(y, 'FDOG', 0.055,
(1, 1)).std.Median().std.Convolution([*[1] * 9])
descale = core.descale.Debilinear(y, w, h)
upscale = vdf.fsrcnnx_upscale(
descale,
height=h * 2,
shader_file=r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
upscaler_smooth=eedi3_upscale,
profile='slow',
strength=85)
antialias = sraa_eedi3(upscale, 9)
downscale = muvf.SSIM_downsample(antialias,
src.width,
src.height,
filter_param_a=0,
filter_param_b=0)
downscale = core.std.MaskedMerge(y, downscale, lineart)
merged = vdf.merge_chroma(downscale, out)
merged = lvf.rfs(merged, out, [(opstart, opend), (eptitle_s, eptitle_e),
(preview_s, preview_e)])
out = depth(merged, 16)
detail_dark_mask = detail_dark_mask_func(get_y(out),
brz_a=8000,
brz_b=6000)
detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
'x y +').std.Median()
detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
2).std.Convolution([*[1] * 9])
detail_mask = core.std.Expr([get_y(out), detail_mask_grow, detail_mask],
f'x {32<<8} < y z ?')
deband = dumb3kdbv2(out, 22, 24)
deband = core.std.MaskedMerge(deband, out, detail_mask)
out = deband
ref = get_y(out).std.PlaneStats()
adgmask_a = core.adg.Mask(ref, 30)
adgmask_b = core.adg.Mask(ref, 12)
stgrain = sizedgrn(out, 0.1, 0.05, 1.05, sharp=80)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())
dygrain = sizedgrn(out, 0.2, 0.05, 1.15, sharp=80, static=False)
dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
out = grain
ref = depth(src, 16)
rescale_mask = vdf.drm(ref, 720, 'bilinear', mthr=30, sw=0, sh=0)
rescale_mask = vdf.region_mask(rescale_mask, *[10] * 4)
rescale_mask = hvf.mt_expand_multi(rescale_mask,
mode='ellipse',
sw=4,
sh=4)
rescale_mask = rescale_mask.std.Binarize(scale_value(
100, 8, 16)).std.Inflate().std.Convolution([*[1] * 9])
dehalo_ref = gf.MaskedDHA(ref,
rx=1.65,
ry=1.65,
darkstr=0.15,
brightstr=1.0,
maskpull=48,
maskpush=140)
dehalo_mask_b = vdf.region_mask(rescale_mask, right=400)
credit = out
dehalo_range_b = [(18, 101), (16853, 16917)]
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
0),
[(126, 160), (1722, 1761), (7749, 7795), (8189, 8232),
(8445, 8504), (9020, 9067), (9727, 9768), (12430, 12520),
(12876, 12971), (13608, 13646), (15833, 15879),
(20526, 20586), (20783, 20823), (21193, 21239),
(23812, 23854), (24018, 24059),
(edstart, edend)] + dehalo_range_b)
credit = lvf.rfs(
credit, core.std.MaskedMerge(credit, dehalo_ref, dehalo_mask_b, 0),
dehalo_range_b)
out = credit
return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 32)
h = 720
w = get_w(h)
# getnative script returns 0.2 0.5 as best combo but it introduces too much halos.
# I think it's plain mitchell but robidoux is good too and very slightly sharp.
b, c = vdf.get_bicubic_params('robidoux')
opstart = 0
denoise = hybrid_denoise(src, 0.5, 2)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debicubic(luma, w, h, b, c)
upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
'_shaders/FSRCNNX_x2_56-16-4-1.glsl',
core.resize.Point)
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.3,
beta=0.45,
gamma=320,
mdis=18)
scaled = muvf.SSIM_downsample(antialias,
src.width,
src.height,
kernel='Bicubic')
rescale = core.std.MaskedMerge(luma, scaled, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
antialias = lvf.rfs(
out,
lvf.sraa(out,
1.65,
9,
alpha=0.3,
beta=0.45,
gamma=240,
nrad=3,
mdis=25), [(opstart + 840, opstart + 881)])
out = antialias
# Slight sharp though CAS
sharp = hvf.LSFmod(out,
strength=75,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
dering = gf.HQDeringmod(out, thr=16, darkthr=0.1, show=False)
out = dering
warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
out = warp
preden = core.knlm.KNLMeansCL(out,
d=0,
a=3,
h=0.6,
device_type='GPU',
channels='Y')
mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
deband = dbs.f3kpf(out, 17, 42, 42)
deband_b = placebo.deband(out, 22, 6, 2)
deband = lvf.rfs(deband, deband_b, [(opstart + 1515, opstart + 1603)])
deband = core.std.MaskedMerge(deband, out, mask)
out = deband
adg_mask = core.adg.Mask(out.std.PlaneStats(),
20).std.Expr(f'x x {128<<8} - 0.25 * +')
grain = core.grain.Add(out, 0.2, constant=True)
grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
out = grain
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
# Source and dithering
src = JPBD.src_cut
src = depth(src, 16)
out = src
# Variables
h = 846
w = get_w(h)
cubic_filters = ['catrom', 'mitchell', 'robidoux', 'robidoux sharp']
cubic_filters = [vdf.get_bicubic_params(cf) for cf in cubic_filters]
# Remove the dynamic grain
degrain = hybrid_denoise(out, 0.35, 1.2, dict(a=2, d=1))
out = degrain
y = get_y(out)
y32 = depth(y, 32)
lineart = vdf.edge_detect(y32, 'kirsch', 0.055,
(1, 1)).std.Median().std.Inflate()
# Use multiple descaling kernel for a sharper result
descale_clips = [
core.descale.Debicubic(y32, w, h, b, c) for b, c in cubic_filters
]
descale = core.std.Expr(descale_clips,
'x y z a min min min x y z max max min')
# Fix descaling artifacts (yes even for catrom there's still artifacts)
conv = core.std.Convolution(descale, [1, 2, 1, 2, 0, 2, 1, 2, 1])
thr, coef = 0.013, 3.2
descale_fix = core.std.Expr([descale, conv],
f'x y - abs {thr} < y x ?').std.PlaneStats()
adapt_mask = core.adg.Mask(
descale_fix,
12).std.Invert().std.Expr(f'x 0.80 - {coef} * 0.20 + 0 max 1 min')
descale = core.std.MaskedMerge(descale, descale_fix, adapt_mask)
# Double using eedi3+nnedi, fsrcnnx and a sharpener
upscale = vdf.fsrcnnx_upscale(descale,
w * 2,
h * 2,
r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
upscaler_smooth=eedi3_upscale,
profile='zastin',
sharpener=partial(gf.DetailSharpen,
sstr=1.25,
power=4))
# Antialiasing by eedi3
aa_strong = sraa_eedi3(upscale, 13, alpha=0.3, beta=0.5, gamma=40)
aa = aa_strong
# Rescale to 1080p with Bicubic b=0, c=0 AKA Hermite
down = muvf.SSIM_downsample(aa,
src.width,
src.height,
filter_param_a=0,
filter_param_b=0)
upscale = depth(core.std.MaskedMerge(y32, down, lineart), 16)
merged = vdf.merge_chroma(upscale, out)
out = merged
# Deband with prefilter
y = get_y(out)
detail_light_mask = lvf.denoise.detail_mask(y, brz_a=2500, brz_b=1200)
pf = iterate(out, core.std.Maximum, 2).std.Convolution([10] * 9, planes=0)
diff = core.std.MakeDiff(out, pf)
deband = core.f3kdb.Deband(pf,
17,
36,
36,
36,
12,
12,
2,
keep_tv_range=True,
output_depth=16)
deband = core.std.MergeDiff(deband, diff)
deband = core.std.MaskedMerge(deband, out, detail_light_mask)
out = deband
# Regraining
grain = adptvgrnMod(out,
0.25,
0.15,
size=out.height / h,
sharp=80,
luma_scaling=10,
static=True)
out = grain
return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src
h = 720
w = get_w(h)
fixedges = awf.bbmod(out, 2, 2, 2, 2, 64 << 8, 999)
out = fixedges
decomb = hvf.Vinverse(out)
decomb = lvf.rfs(out, decomb, [(828, 836)])
out = decomb
clean = core.knlm.KNLMeansCL(out,
h=0.55,
a=2,
d=3,
device_type='gpu',
device_id=0,
channels='UV')
clean = core.knlm.KNLMeansCL(clean,
h=0.55,
a=2,
d=3,
device_type='gpu',
device_id=0,
channels='Y')
diff_den = core.std.MakeDiff(out, clean)
out = depth(clean, 32)
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debilinear(luma, w, h)
upscale = vdf.nnedi3_upscale(descale, correct_shift=False,
pscrn=1).resize.Bicubic(src.width,
src.height,
src_left=.5,
src_top=.5)
rescale = core.std.MaskedMerge(luma, upscale, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
moozzi = warping(out, 0.4, 4)
sharp = hvf.LSFmod(moozzi,
strength=95,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
deband_mask = lvf.denoise.detail_mask(out, brz_a=2000, brz_b=1000)
deband = dbs.f3kpf(out, 17, 30, 30)
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
grain_org = core.std.MergeDiff(out, diff_den)
out = grain_org
ref = decomb
credit_mask = vdf.diff_rescale_mask(ref, mthr=40, sw=5, sh=5)
credit_mask = vdf.region_mask(credit_mask, 10, 10, 10,
10).std.Inflate().std.Inflate()
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, credit_mask),
[(0, 725), (31741, 33864)])
antialias = lvf.sraa(ref, 2, 13, downscaler=core.resize.Bicubic)
credit = lvf.rfs(credit, core.std.MaskedMerge(out, antialias, credit_mask),
[(833, 933), (1060, 1229), (1716, 1887), (2665, 2830),
(4813, 4947), (8179, 8272), (13757, 13810),
(20630, 20737), (20866, 20951), (21338, 21409),
(21480, 21520), (24719, 24786), (24829, 24869),
(28206, 28298), (28299, 28426), (33927, 34046)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
# Variables
opstart, opend = 2111, 4268
edstart, edend = 31650, 33809
full_zone = [(18727, 18774), (31590, 31649), (33990, src.num_frames - 1)
] # eyecatch, episode name and next episode
shabc_zone = [(edstart + 15, edstart + 1215),
(edstart + 1882, edstart + 2126)]
h = 720
w = get_w(h)
# Bicubic sharp parts don't have bad edges
edges_a = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
edges_b = awf.bbmod(src, left=6, thresh=32, blur=200)
edges = lvf.rfs(edges_a, edges_b, [(edstart + 1275, edstart + 1757)])
edges = lvf.rfs(edges, src, [(opstart, opend)] + full_zone)
out = depth(edges, 32)
# Denoise
ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
denoise = hybrid_denoise(out, 0.35, 1.4, dict(a=2, d=1),
dict(ref=depth(ref, 32)))
out = denoise
# denoise = out
# Descale
luma = get_y(out)
lineart = vdf.edge_detect(luma, 'FDOG', 0.055,
(1, 1)).std.Median().std.BoxBlur(0, 1, 1, 1, 1)
descale_a = core.descale.Despline36(luma, w,
h).std.SetFrameProp('descaleKernel',
data='spline36')
descale_b = core.descale.Debicubic(luma, w, h, 0, 1).std.SetFrameProp(
'descaleKernel', data='sharp_bicubic')
descale = lvf.rfs(descale_a, descale_b, shabc_zone)
# Chroma reconstruction
# y_m is the assumed mangled luma.
# Descale 1080p -> Bad conversion in 422 720p -> Regular 1080p 420
radius = 2
y, u, v = descale, plane(out, 1), plane(out, 2)
y_m = core.resize.Point(y, 640, 720,
src_left=-1).resize.Bicubic(960,
540,
filter_param_a=1 / 3,
filter_param_b=1 / 3)
# 0.25 for 444 and 0.25 for right shifting
y_m, u, v = [
c.resize.Bicubic(w,
h,
src_left=0.25 + 0.25,
filter_param_a=0,
filter_param_b=.5) for c in [y_m, u, v]
]
y_fixup = core.std.MakeDiff(y, y_m)
yu, yv = Regress(y_m, u, v, radius=radius, eps=1e-7)
u_fixup = ReconstructMulti(y_fixup, yu, radius=radius)
u_r = core.std.MergeDiff(u, u_fixup)
v_fixup = ReconstructMulti(y_fixup, yv, radius=radius)
v_r = core.std.MergeDiff(v, v_fixup)
# -0.5 * 720/1080 = -1/3
# -1/3 for the right shift
# https://forum.doom9.org/showthread.php?p=1802716#post1802716
u_r, v_r = [
c.resize.Bicubic(960,
540,
src_left=-1 / 3,
filter_param_a=-.5,
filter_param_b=.25) for c in [u_r, v_r]
]
upscale = vdf.fsrcnnx_upscale(
descale,
height=h * 2,
shader_file=r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
upscaler_smooth=eedi3_upscale,
profile='zastin')
antialias = sraa_eedi3(upscale,
3,
alpha=0.2,
beta=0.4,
gamma=40,
nrad=3,
mdis=20)
downscale = muvf.SSIM_downsample(antialias,
src.width,
src.height,
filter_param_a=0,
filter_param_b=0)
downscale = core.std.MaskedMerge(luma, downscale, lineart)
merged_a = join([downscale, u_r, v_r])
merged_b = vdf.merge_chroma(downscale, denoise)
merged = lvf.rfs(merged_a, merged_b, shabc_zone)
out = depth(merged, 16)
warp = xvs.WarpFixChromaBlend(out, 80, 2, depth=8)
out = warp
dering = gf.MaskedDHA(out,
rx=1.25,
ry=1.25,
darkstr=0.05,
brightstr=1.0,
maskpull=48,
maskpush=140)
out = dering
qtgmc = hvf.QTGMC(out, Preset="Slower", InputType=1, ProgSADMask=2.0)
qtgmc = vdf.fade_filter(out, out, qtgmc, edstart + 1522,
edstart + 1522 + 24)
qtgmc = lvf.rfs(out, qtgmc, [(edstart + 1522 + 25, edstart + 1757)])
out = qtgmc
out = lvf.rfs(out, depth(denoise, 16), [(opstart, opend)])
detail_dark_mask = detail_dark_mask_func(get_y(out),
brz_a=8000,
brz_b=6000)
detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
'x y +').std.Median()
detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
2).std.BoxBlur(0, 1, 1, 1, 1)
detail_mask = core.std.Expr([get_y(out), detail_mask_grow, detail_mask],
f'x {32<<8} < y z ?')
deband = dumb3kdb(out, 22, 30)
deband = core.std.MaskedMerge(deband, out, detail_mask)
out = deband
ref = get_y(out).std.PlaneStats()
adgmask_a = core.adg.Mask(ref, 30)
adgmask_b = core.adg.Mask(ref, 12)
stgrain = sizedgrn(out, 0.1, 0.05, 1.05, sharp=80)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())
dygrain = sizedgrn(out, 0.2, 0.05, 1.15, sharp=80, static=False)
dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
out = grain
ref = depth(edges, 16)
credit = out
rescale_mask = vdf.diff_rescale_mask(ref, h, b=0, c=1, mthr=40, sw=0, sh=0)
rescale_mask = vdf.region_mask(rescale_mask, *[10] * 4)
rescale_mask = hvf.mt_expand_multi(rescale_mask,
mode='ellipse',
sw=4,
sh=4).std.BoxBlur(0, 1, 1, 1, 1)
credit = lvf.rfs(credit, ref, full_zone)
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask),
[(edstart, edend)])
out = credit
return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 32)
h = 720
w = get_w(h)
b, c = vdf.get_bicubic_params('robidoux')
opstart, opend = 1392, 3788
edstart, edend = 31889, src.num_frames - 1
full_stuff = [(3801, 3908), (16203, 16358)]
denoise = hybrid_denoise(src, 0.5, 2)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debicubic(luma, w, h, b, c)
upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
'_shaders/FSRCNNX_x2_56-16-4-1.glsl',
core.resize.Point)
upscale_smooth = vdf.nnedi3_upscale(descale, pscrn=1)
upscale = lvf.rfs(upscale, upscale_smooth, [(18547, 18586)])
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.3,
beta=0.45,
gamma=320,
mdis=18)
scaled = muvf.SSIM_downsample(antialias,
src.width,
src.height,
kernel='Bicubic')
rescale = core.std.MaskedMerge(luma, scaled, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
antialias = lvf.rfs(
out,
lvf.sraa(out,
1.65,
9,
alpha=0.3,
beta=0.45,
gamma=240,
nrad=3,
mdis=25), [(opstart + 840, opstart + 881)])
out = antialias
# Slight sharp though CAS
sharp = hvf.LSFmod(out,
strength=75,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
out = dering
warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
out = warp
preden = core.knlm.KNLMeansCL(out,
d=0,
a=3,
h=0.6,
device_type='GPU',
channels='Y')
deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
deband = dbs.f3kpf(out, 17, 42, 42)
deband_b = placebo.deband(out, 22, 6, 2)
deband = lvf.rfs(deband, deband_b, [(opstart + 1515, opstart + 1603)])
deband_c = placebo.deband(out, 17, 8, 3)
import kagefunc
deband_mask_c = kagefunc.retinex_edgemask(preden)
deband_mask_c = iterate(deband_mask_c, core.std.Maximum,
3).std.Binarize(15000).std.Deflate()
deband = lvf.rfs(deband,
core.std.MaskedMerge(deband_c, deband, deband_mask_c),
[(7409, 7600), (7960, 8055)])
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
adg_mask = core.adg.Mask(out.std.PlaneStats(),
20).std.Expr(f'x x {128<<8} - 0.25 * +')
grain = core.grain.Add(out, 0.2, constant=True)
grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
out = grain
rescale_mask = vdf.drm(luma, b=b, c=c, sw=4, sh=4)
ref, rescale_mask, src, src_ncop, src_nced = [
depth(x, 16) for x in
[denoise, rescale_mask, src, JPBD_NCOP.src_cut, JPBD_NCED.src_cut]
]
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask),
full_stuff)
out = credit
src_c, src_ncop, src_nced = [
c.knlm.KNLMeansCL(a=7, h=35, d=0, device_type='gpu')
for c in [src, src_ncop, src_nced]
]
opening_mask = vdf.dcm(out, src_c[opstart:opend + 1],
src_ncop[:opend - opstart + 1], opstart, opend, 4,
4).std.Inflate()
ending_mask = vdf.dcm(out, src_c[edstart:edend + 1],
src_nced[:edend - edstart + 1], edstart, edend, 4,
4).std.Inflate()
credit_mask = core.std.Expr([opening_mask, ending_mask], 'x y +')
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, credit_mask),
[(opstart, opend), (edstart, edend)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 32)
src += src[-1]
h = 720
w = get_w(h)
b, c = vdf.get_bicubic_params('robidoux')
full_stuff = [(313, 1993), (15602, 15757), (19240, 19295)]
denoise = hybrid_denoise(src, 0.5, 2)
denoise_b = hybrid_denoise(src, 0.6, 7.5, bm3d_args=dict(profile1='high'))
deband = lvf.rfs(denoise, denoise_b, [(4002, 4061)])
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debicubic(luma, w, h, b, c)
upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
'_shaders/FSRCNNX_x2_56-16-4-1.glsl',
core.resize.Point)
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.3,
beta=0.45,
gamma=320,
mdis=18)
scaled = muvf.SSIM_downsample(antialias,
src.width,
src.height,
kernel='Bicubic')
rescale = core.std.MaskedMerge(luma, scaled, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
antialias = lvf.rfs(out, _aa_extra(depth(denoise, 16)), [(2794, 2949)])
out = antialias
# Slight sharp though CAS
sharp = hvf.LSFmod(out,
strength=75,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
out = dering
warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
out = warp
preden = core.knlm.KNLMeansCL(out,
d=0,
a=3,
h=0.6,
device_type='GPU',
channels='Y')
deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
deband = dbs.f3kpf(out, 17, 42, 42)
deband = core.std.MaskedMerge(deband, out, deband_mask)
deband_b = rkt.rekt_fast(
deband, lambda x: core.neo_f3kdb.Deband(
x, 8, 96, 96, 96, sample_mode=1, keep_tv_range=True), 1112, 264,
184, 0)
deband = lvf.rfs(deband, deband_b, [(4002, 4061)])
out = deband
adg_mask = core.adg.Mask(out.std.PlaneStats(),
20).std.Expr(f'x x {128<<8} - 0.25 * +')
grain = core.grain.Add(out, 0.2, constant=True)
grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
grain_b = adptvgrnMod(grain,
0.6,
size=1.85,
static=False,
luma_scaling=4,
grain_chroma=False)
grain = lvf.rfs(grain, grain_b, [(204, 2049)])
out = grain
rescale_mask = vdf.drm(luma, b=b, c=c, sw=4, sh=4)
ref, rescale_mask, src = [
depth(x, 16) for x in [denoise, rescale_mask, src]
]
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask),
full_stuff)
credit = lvf.rfs(
credit,
core.std.MaskedMerge(credit, ref,
vdf.region_mask(rescale_mask, 1450, 0, 947, 0)),
[(33860, 33925)])
credit = lvf.rfs(credit, src, [(0, 203), (2049, 2229), (31768, 33839)])
out = credit
smooth = gf.JohnFPS(out[31888:33840], 60000, 1001)
clips = [out[:31888], smooth, out[33840:]]
vfr = muvf.VFRSplice(clips, 'symphogearg_01_timecode.txt')
cfr = core.std.AssumeFPS(vfr, src)
out = cfr
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src
opstart, opend = 3106, 5263
h = 720
w = get_w(h)
fixedges = awf.bbmod(out, 2, 2, 2, 2, 64 << 8, 999)
out = fixedges
decomb = hvf.Vinverse(out)
decomb = lvf.rfs(out, decomb, [(10171, 10179)])
ref = decomb
out = decomb
clean = core.knlm.KNLMeansCL(out,
h=0.55,
a=2,
d=3,
device_type='gpu',
device_id=0,
channels='UV')
clean = core.knlm.KNLMeansCL(clean,
h=0.55,
a=2,
d=3,
device_type='gpu',
device_id=0,
channels='Y')
diff_den = core.std.MakeDiff(out, clean)
out = depth(clean, 32)
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debilinear(luma, w, h)
upscale = vdf.nnedi3_upscale(descale, correct_shift=False,
pscrn=1).resize.Bicubic(src.width,
src.height,
src_left=.5,
src_top=.5)
rescale = core.std.MaskedMerge(luma, upscale, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
moozzi = warping(out, 0.4, 4)
sharp = hvf.LSFmod(moozzi,
strength=95,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
deband_mask = lvf.denoise.detail_mask(out, brz_a=2000, brz_b=1000)
deband = dbs.f3kpf(out, 17, 30, 30)
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
grain_org = core.std.MergeDiff(out, diff_den)
out = grain_org
credit_mask = vdf.diff_rescale_mask(ref, mthr=40, sw=5, sh=5)
credit_mask = vdf.region_mask(credit_mask, 10, 10, 10,
10).std.Inflate().std.Inflate()
antialias = lvf.sraa(ref, 2, 13, downscaler=core.resize.Bicubic)
credit = lvf.rfs(out, core.std.MaskedMerge(out, antialias, credit_mask),
[(10178, 10248), (21423, 22764)])
out = credit
src_c, ncop = [clip.std.Median() for clip in [src, JPBD_NCOP.src_cut]]
opening_mask = vdf.dcm(out, src_c[opstart:opend + 1],
ncop[:opend - opstart + 1], opstart, opend, 3,
3).std.Convolution([1] * 9)
credit = lvf.rfs(out, core.std.MaskedMerge(out, src, opening_mask),
[(opstart, opend)])
out = credit
logo_mask = lvf.src('credit_mask_logo.png', out).std.Convolution([1] * 9)
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, logo_mask),
[(20992, 23225)])
credit = lvf.rfs(credit, src, [(97766, src.num_frames - 1)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 32)
h = 720
w = get_w(h)
b, c = vdf.get_bicubic_params('robidoux')
opstart, opend = 768, 3164
edstart, edend = 30571, 32728
full_stuff = [(3189, 3296), (13806, 13961)]
denoise = hybrid_denoise(src, 0.5, 2)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debicubic(luma, w, h, b, c)
upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
'_shaders/FSRCNNX_x2_56-16-4-1.glsl',
core.resize.Point)
upscale_smooth = vdf.nnedi3_upscale(descale, pscrn=1)
upscale = lvf.rfs(upscale, upscale_smooth, [(5534, 5598)])
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.3,
beta=0.45,
gamma=320,
mdis=18)
scaled = muvf.SSIM_downsample(antialias,
src.width,
src.height,
kernel='Bicubic')
rescale = core.std.MaskedMerge(luma, scaled, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
antialias = lvf.rfs(
out,
lvf.sraa(out,
1.65,
9,
alpha=0.3,
beta=0.45,
gamma=240,
nrad=3,
mdis=25), [(opstart + 840, opstart + 881)])
out = antialias
# Slight sharp though CAS
sharp = hvf.LSFmod(out,
strength=75,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
out = dering
warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
out = warp
preden = core.knlm.KNLMeansCL(out,
d=0,
a=3,
h=0.6,
device_type='GPU',
channels='Y')
deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
deband = dbs.f3kpf(out, 17, 42, 42)
deband_b = placebo.deband(out, 22, 6, 2)
deband = lvf.rfs(deband, deband_b, [(opstart + 1515, opstart + 1603)])
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
adg_mask = core.adg.Mask(out.std.PlaneStats(),
20).std.Expr(f'x x {128<<8} - 0.25 * +')
grain = core.grain.Add(out, 0.2, constant=True)
grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
out = grain
# Fix random productions errors
# AAAAAAAAAAAAARGHHHHHHHHHHHHHHH WHYYYY THE STUDIO DID THIS
ncop = JPBD_NCOP.src_cut
ncop = lvf.rfs(ncop,
depth(src, 8)[opstart:opend + 1], [(0, 79), (1035, 1037)])
rescale_mask = vdf.drm(luma, b=b, c=c, sw=4, sh=4)
ref, rescale_mask, src, src_ncop, src_nced = [
depth(x, 16)
for x in [denoise, rescale_mask, src, ncop, JPBD_NCED.src_cut]
]
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask),
full_stuff)
out = credit
src_c, src_ncop, src_nced = [
c.knlm.KNLMeansCL(a=7, h=35, d=0, device_type='gpu')
for c in [src, src_ncop, src_nced]
]
opening_mask = vdf.dcm(out, src_c[opstart:opend + 1],
src_ncop[:opend - opstart + 1], opstart, opend, 4,
4).std.Inflate()
ending_mask = vdf.dcm(out, src_c[edstart:edend + 1],
src_nced[:edend - edstart + 1], edstart, edend, 4,
4).std.Inflate()
credit_mask = core.std.Expr([opening_mask, ending_mask], 'x y +')
credit_mask = core.std.FreezeFrames(credit_mask, opstart + 1685,
opstart + 1699, opstart + 1684)
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, credit_mask),
[(opstart, opend), (edstart, edend)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
h = 720
w = get_w(h)
fixedges = lvf.ef(src, [2, 1, 1])
out = depth(fixedges, 16)
denoise = hybrid_denoise(out, 0.65, 3)
denoise_b = hybrid_denoise(out, 0.3, 1)
denoise_c = hvf.KNLMeansCL(out, 5, 3, 6, 2, device_type='gpu', device_id=0)
denoise = lvf.rfs(denoise, denoise_b, [(75124, 82725)])
denoise = vdf.fade_filter(denoise, denoise, denoise_c, 82726, 82790)
denoise = lvf.rfs(denoise, denoise_c, [(82791, src.num_frames - 1)])
diff = core.std.MakeDiff(out, denoise)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 7000, (1, 1))
line_mask = iterate(line_mask, core.std.Median, 4)
# Not FSRCNNX this time )^:
descale = depth(core.descale.Debilinear(depth(luma, 32), w, h), 16)
upscale = lvf.sraa(descale,
2,
3,
src.width,
src.height,
_ssim_downsample,
alpha=0.2,
beta=0.6,
gamma=400,
nrad=2,
mdis=15)
rescaled = core.std.MaskedMerge(luma, upscale, line_mask)
out = vdf.merge_chroma(rescaled, out)
# Slight sharp though CAS
sharp = hvf.LSFmod(out,
strength=75,
Smode=3,
Lmode=2,
edgemode=1,
edgemaskHQ=True)
out = sharp
deband_mask = lvf.denoise.detail_mask(out, brz_a=2000, brz_b=1200)
deband = dbs.f3kpf(out, 16, 30, 30)
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
avg = out.std.PlaneStats()
adg_mask16 = core.adg.Mask(avg, 16)
grain_hi = core.std.MergeDiff(out, diff)
grain_hi = core.std.Merge(grain_hi, out,
[0, 0.5]) # Half the grain on chroma planes
grain_hi = core.std.MaskedMerge(out, grain_hi, core.adg.Mask(avg, 6))
grain_lo = core.neo_f3kdb.Deband(out,
preset='depth',
grainy=24,
keep_tv_range=True)
grain_lo = core.std.MaskedMerge(grain_lo, grain_hi, core.adg.Mask(avg, 14))
grain_b = core.std.MaskedMerge(out, out.grain.Add(0.1, constant=True),
adg_mask16)
grain = lvf.rfs(grain_hi, grain_lo, [(0, 16168), (24078, 41084),
(63274, 75123)])
grain = lvf.rfs(grain, grain_b, [(75124, 82725)])
# Credits
deband_c = placebo.deband(sharp, 17, 6, 3, 0)
grain_c = core.std.MaskedMerge(deband_c,
deband_c.grain.Add(6.5, constant=True),
adg_mask16)
grain = lvf.rfs(grain, grain_c, [(82791, src.num_frames - 1)])
grain = vdf.fade_filter(grain, grain, grain_c, 82726, 82790)
out = grain
return depth(out, 10)
def do_filter():
src = JPBD.src_cut
fixedges = lvf.ef(src, [2, 1, 1])
fixedges = depth(fixedges, 16)
out = fixedges
h = 720
w = get_w(h)
kernel = 'bilinear'
denoise = CoolDegrain(out, tr=1, thsad=24, blksize=8, overlap=4, plane=4)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = kgf.get_descale_filter(kernel)(depth(luma, 32), w, h)
rescale = vdf.fsrcnnx_upscale(depth(descale, 16), None, src.height, 'shaders/FSRCNNX_x2_56-16-4-1.glsl',
partial(muvf.SSIM_downsample, kernel='Bicubic'))
rescale = core.std.MaskedMerge(luma, rescale, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
# Slight sharp though CAS
sharp = hvf.LSFmod(out, strength=95, Smode=3, Lmode=1, edgemode=1, edgemaskHQ=True)
out = sharp
dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
out = dering
warp = xvs.WarpFixChromaBlend(out, thresh=36, depth=6)
out = warp
deband_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1500)
deband = dbs.f3kpf(out, 17, 36, 36)
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
grain = placebo.deband(out, iterations=0, grain=6, chroma=False)
grain_mask = core.adg.Mask(out.std.PlaneStats(), 14).std.Expr(f'x x {128<<8} - 0.25 * +')
grain = core.std.MaskedMerge(out, grain, grain_mask)
out = grain
rescale_mask = vdf.drm(luma, h, kernel, sw=4, sh=4)
ref = fixedges
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask, 0), [(12805, src.num_frames-1)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src
if out.num_frames < 34046:
while out.num_frames != 34046:
out += out[-1]
opstart, opend = 0, 2157
h = 720
w = get_w(h)
fixedges = awf.bbmod(out, 2, 2, 2, 2, 64<<8, 999)
out = fixedges
decomb = hvf.Vinverse(out)
decomb = lvf.rfs(out, decomb, [(2187, 2195)])
ref = decomb
out = decomb
from adptvgrnMod import adptvgrnMod
first_denoise = hybrid_denoise(out, 0.35, 1.5)
regrain = adptvgrnMod(first_denoise, 0.275, 0.175, 1.25, 45)
regrain = lvf.rfs(out, regrain, [(28691, 28818)])
out = regrain
clean = core.knlm.KNLMeansCL(out, h=0.55, a=2, d=3, device_type='gpu', device_id=0, channels='UV')
clean = core.knlm.KNLMeansCL(clean, h=0.55, a=2, d=3, device_type='gpu', device_id=0, channels='Y')
diff_den = core.std.MakeDiff(out, clean)
out = depth(clean, 32)
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debilinear(luma, w, h)
upscale = vdf.nnedi3_upscale(descale, correct_shift=False, pscrn=1).resize.Bicubic(src.width, src.height, src_left=.5, src_top=.5)
rescale = core.std.MaskedMerge(luma, upscale, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
moozzi = warping(out, 0.4, 4)
sharp = hvf.LSFmod(moozzi, strength=95, Smode=3, Lmode=1, edgemode=1, edgemaskHQ=True)
out = sharp
deband_mask = lvf.denoise.detail_mask(out, brz_a=2000, brz_b=1000)
deband = dbs.f3kpf(out, 17, 30, 30)
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
grain_org = core.std.MergeDiff(out, diff_den)
out = grain_org
credit_mask = vdf.diff_rescale_mask(ref, mthr=40, sw=5, sh=5)
credit_mask = vdf.region_mask(credit_mask, 10, 10, 10, 10).std.Inflate().std.Inflate()
antialias = lvf.sraa(ref, 2, 13, downscaler=core.resize.Bicubic)
credit = lvf.rfs(out, core.std.MaskedMerge(out, antialias, credit_mask),
[(2188, 2305), (33926, src.num_frames-1)])
credit = lvf.rfs(credit, core.std.MaskedMerge(out, ref, credit_mask), [(31684, 33925)])
out = credit
src_c, ncop = [clip.std.Median() for clip in [src, JPBD_NCOP.src_cut]]
opening_mask = vdf.dcm(out, src_c[opstart:opend+1], ncop[:opend-opstart+1], opstart, opend, 3, 3)
credit_mask = opening_mask.std.Convolution([1]*9)
credit = lvf.rfs(out, core.std.MaskedMerge(out, src, credit_mask), [(opstart, opend)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
# Source and dithering
src = JPBD.src_cut
src = depth(src, 16)
out = src
# Variables
opstart, opend = 17310, 19468
edstart, edend = 31889, src.num_frames - 1
h = 846
w = get_w(h)
cubic_filters = ['catrom', 'mitchell', 'robidoux', 'robidoux sharp']
cubic_filters = [vdf.get_bicubic_params(cf) for cf in cubic_filters]
# Remove the dynamic grain
degrain = hybrid_denoise(out, 0.35, 1.2, dict(a=2, d=1))
out = degrain
y = get_y(out)
y32 = depth(y, 32)
lineart = vdf.edge_detect(y32, 'kirsch', 0.055,
(1, 1)).std.Median().std.Inflate()
# Use multiple descaling kernel for a sharper result
descale_clips = [
core.descale.Debicubic(y32, w, h, b, c) for b, c in cubic_filters
]
descale = core.std.Expr(descale_clips,
'x y z a min min min x y z max max min')
# Fix descaling artifacts (yes even for catrom there's still artifacts)
conv = core.std.Convolution(descale, [1, 2, 1, 2, 0, 2, 1, 2, 1])
thr, coef = 0.013, 3.2
descale_fix = core.std.Expr([descale, conv],
f'x y - abs {thr} < y x ?').std.PlaneStats()
adapt_mask = core.adg.Mask(
descale_fix,
12).std.Invert().std.Expr(f'x 0.80 - {coef} * 0.20 + 0 max 1 min')
descale = core.std.MaskedMerge(descale, descale_fix, adapt_mask)
# Double using eedi3+nnedi, fsrcnnx and a sharpener
upscale = vdf.fsrcnnx_upscale(descale,
w * 2,
h * 2,
r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
upscaler_smooth=eedi3_upscale,
profile='zastin',
sharpener=partial(gf.DetailSharpen,
sstr=1.25,
power=4))
# Antialiasing by eedi3
aa_strong = sraa_eedi3(upscale, 13, alpha=0.3, beta=0.5, gamma=40)
aa = aa_strong
# Rescale to 1080p with Bicubic b=0, c=0 AKA Hermite
down = muvf.SSIM_downsample(aa,
src.width,
src.height,
filter_param_a=0,
filter_param_b=0)
upscale = depth(core.std.MaskedMerge(y32, down, lineart), 16)
merged = vdf.merge_chroma(upscale, out)
out = merged
# Very bad halo
dehalo = rkt.rekt_fast(out,
lambda x: gf.MaskedDHA(x,
rx=4.5,
ry=4.5,
darkstr=0.05,
brightstr=1.0,
maskpull=48,
maskpush=140),
left=620,
right=440,
top=200,
bottom=176)
mask_halo = get_y(out.std.MakeDiff(dehalo,
0)).rgvs.RemoveGrain(2).std.Median()
mask_halo = core.hist.Luma(mask_halo).std.Binarize(
33000).std.Maximum().std.Inflate()
mask_halo = vdf.region_mask(mask_halo,
left=630,
right=440,
top=200,
bottom=176)
blur_dehalo = core.std.BoxBlur(dehalo, hradius=1, vradius=1)
dehalo = core.std.MaskedMerge(dehalo, blur_dehalo, mask_halo)
out = lvf.rfs(out, dehalo, [(15936, 15973)])
# Deband with prefilter
y = get_y(out)
detail_light_mask = lvf.denoise.detail_mask(y, brz_a=2500, brz_b=1200)
pf = iterate(out, core.std.Maximum, 2).std.Convolution([10] * 9, planes=0)
diff = core.std.MakeDiff(out, pf)
deband = core.f3kdb.Deband(pf,
17,
36,
36,
36,
12,
12,
2,
keep_tv_range=True,
output_depth=16)
deband = core.std.MergeDiff(deband, diff)
deband = core.std.MaskedMerge(deband, out, detail_light_mask)
out = deband
# Ending part
ref = degrain
pfed = ref.std.Median().std.Convolution([1] * 9, planes=0)
diff_ed = core.std.MakeDiff(ref, pfed)
deband_ed = core.f3kdb.Deband(pfed,
22,
30,
30,
30,
32,
32,
2,
keep_tv_range=True,
output_depth=16)
deband_ed = core.std.MergeDiff(deband_ed, diff_ed)
out = lvf.rfs(out, deband_ed, [(edstart, edend)])
# Regraining
grain = adptvgrnMod(out,
0.25,
0.15,
size=out.height / h,
sharp=80,
luma_scaling=10,
static=True)
out = grain
# Restore 1080p stuff
ref = src
rescale_mask = vdf.drm(ref, h, mthr=65, sw=4, sh=4)
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
0), [(opstart, opend),
(3917, 4024)])
out = credit
return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src += src[-1]
ep10 = JPBD_10.src_cut
h = 720
w = get_w(h)
b, c = vdf.get_bicubic_params('robidoux')
opstart, opend = 2973, 5370
edstart, edend = 31887, src.num_frames - 1
opstart_ep10, opend_ep10 = 768, 3164
full_stuff = [(5449, 5580), (16465, 16620)]
# Fix compositing error in the OP
op_src, op_10 = src[opstart:opend + 1], ep10[opstart_ep10:opend_ep10 + 1]
fix = lvf.rfs(op_src, op_10, [(0, 79), (1035, 1037)])
fix_src = insert_clip(src, fix, opstart)
src = depth(fix_src, 32)
denoise = hybrid_denoise(src, 0.5, 2)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debicubic(luma, w, h, b, c)
upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
'_shaders/FSRCNNX_x2_56-16-4-1.glsl',
core.resize.Point)
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.3,
beta=0.45,
gamma=320,
mdis=18)
scaled = muvf.SSIM_downsample(antialias,
src.width,
src.height,
kernel='Bicubic')
rescale = core.std.MaskedMerge(luma, scaled, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
antialias = lvf.rfs(
out,
lvf.sraa(out,
1.65,
9,
alpha=0.3,
beta=0.45,
gamma=240,
nrad=3,
mdis=25), [(opstart + 840, opstart + 881)])
out = antialias
# Slight sharp though CAS
sharp = hvf.LSFmod(out,
strength=75,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
out = dering
warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
out = warp
preden = core.knlm.KNLMeansCL(out,
d=0,
a=3,
h=0.6,
device_type='GPU',
channels='Y')
deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
deband = dbs.f3kpf(out, 17, 42, 42)
deband_b = placebo.deband(out, 22, 6, 2)
deband = lvf.rfs(deband, deband_b, [(opstart + 1515, opstart + 1603)])
deband_c = placebo.deband(deband, 17, 5, 1)
deband_c = dbs.f3kbilateral(deband_c, 22, 64, 64)
deband = lvf.rfs(deband, deband_c, [(15612, 15695)])
deband_mask2 = vdf.edge_detect(
out.knlm.KNLMeansCL(d=2, a=2, h=0.4, device_type='GPU', channels='Y'),
'FDOG', 1100, (8, 1))
deband_mask2 = iterate(deband_mask2, core.std.Deflate, 4)
deband_d = placebo.deband(out, 16, 12, 3)
deband_d = core.std.MaskedMerge(deband_d, out, deband_mask2)
deband = lvf.rfs(deband, deband_d, [(16339, 16542)])
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
adg_mask = core.adg.Mask(out.std.PlaneStats(),
20).std.Expr(f'x x {128<<8} - 0.25 * +')
grain = core.grain.Add(out, 0.2, constant=True)
grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
out = grain
rescale_mask = vdf.drm(luma, b=b, c=c, sw=4, sh=4)
ref, rescale_mask, src, src_ncop, src_nced = [
depth(x, 16) for x in
[denoise, rescale_mask, src, JPBD_NCOP.src_cut, JPBD_NCED.src_cut]
]
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask),
full_stuff)
out = credit
src_c, src_ncop, src_nced = [
c.knlm.KNLMeansCL(a=7, h=35, d=0, device_type='gpu')
for c in [src, src_ncop, src_nced]
]
opening_mask = vdf.dcm(out, src_c[opstart:opend + 1],
src_ncop[:opend - opstart + 1], opstart, opend, 4,
4).std.Inflate()
ending_mask = vdf.dcm(out, src_c[edstart:edend + 1],
src_nced[:edend - edstart + 1], edstart, edend, 4,
4).std.Inflate()
credit_mask = core.std.Expr([opening_mask, ending_mask], 'x y +')
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, credit_mask),
[(opstart, opend), (edstart, edend)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
out = depth(src, 32)
# Variables
h = 900
w = get_w(h)
ref = hvf.SMDegrain(depth(out, 16), thSAD=250)
denoise = mvf.BM3D(out, [1, 0.75], radius2=1, ref=depth(ref, 32))
out = denoise
y = get_y(out)
lineart = vdf.edge_detect(y, 'FDOG', 0.085, (1, 2)).std.Median().std.Convolution([*[1]*9])
descale = core.descale.Despline36(y, w, h)
upscale = eedi3_upscale(descale)
antialias = sraa_eedi3(upscale, 9)
downscale = muvf.SSIM_downsample(antialias, src.width, src.height, filter_param_a=-0.5, filter_param_b=0.25)
downscale = core.std.MaskedMerge(y, downscale, lineart)
merged = vdf.merge_chroma(downscale, out)
out = depth(merged, 16)
sharp = hvf.LSFmod(out, strength=40, Smode=3, Lmode=1, edgemode=1, edgemaskHQ=True)
out = sharp
detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
deband = dumb3kdb(out, 17, 36)
deband_b = dumb3kdb(out, 24, 64)
deband = lvf.rfs(deband, deband_b, [(25600, 25691), (30867, 30938)])
deband = core.std.MaskedMerge(deband, out, detail_light_mask)
out = deband
ref = get_y(out).std.PlaneStats()
adgmask_a = core.adg.Mask(ref, 30)
adgmask_b = core.adg.Mask(ref, 12)
stgrain = sizedgrn(out, 0.125, 0.075, 1.15, sharp=80)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())
dygrain = sizedgrn(out, 0.3, 0.15, 1.2, sharp=80, static=False)
dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
out = grain
ref = depth(src, 16)
rescale_mask = vdf.drm(ref, h, 'spline36', mthr=50, sw=4, sh=4)
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask, 0),
[(3032, 4101), (4290, 5284), (35677, 37282)])
credit = lvf.rfs(credit, ref, [(17688, 17783), (37695, src.num_frames-1)])
out = credit
return depth(out, 10).std.Limiter(16<<2, [235<<2, 240<<2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 32)
h = 720
w = get_w(h)
b, c = vdf.get_bicubic_params('robidoux')
full_stuff = [(0, 1310), (15484, 15639)]
denoise = hybrid_denoise(src, 0.5, 2)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debicubic(luma, w, h, b, c)
upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
'_shaders/FSRCNNX_x2_56-16-4-1.glsl',
core.resize.Point)
upscale_smooth = vdf.nnedi3_upscale(descale, pscrn=1)
upscale = lvf.rfs(upscale, upscale_smooth, [(5534, 5598)])
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.3,
beta=0.45,
gamma=320,
mdis=18)
scaled = muvf.SSIM_downsample(antialias,
src.width,
src.height,
kernel='Bicubic')
rescale = core.std.MaskedMerge(luma, scaled, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
# Slight sharp though CAS
sharp = hvf.LSFmod(out,
strength=75,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
out = dering
warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
out = warp
preden = core.knlm.KNLMeansCL(out,
d=0,
a=3,
h=0.6,
device_type='GPU',
channels='Y')
deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
deband = dbs.f3kpf(out, 17, 42, 42)
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
adg_mask = core.adg.Mask(out.std.PlaneStats(),
20).std.Expr(f'x x {128<<8} - 0.25 * +')
grain = core.grain.Add(out, 0.2, constant=True)
grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
out = grain
rescale_mask = vdf.drm(luma, b=b, c=c, sw=4, sh=4)
ref, rescale_mask, src = [
depth(x, 16) for x in [denoise, rescale_mask, src]
]
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask),
full_stuff)
credit = lvf.rfs(credit, src, [(31707, 33937)])
out = credit
smooth = gf.JohnFPS(out[31707:33937 + 1], 60000, 1001)
clips = [out[:31707], smooth, out[33937 + 1:]]
vfr = muvf.VFRSplice(clips, 'symphogearg_13_timecode.txt')
cfr = core.std.AssumeFPS(vfr, src)
out = cfr
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
# Variables
h = 720
w = get_w(h)
edges = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
out = depth(edges, 32)
ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
denoise = hybrid_denoise(out, 0.35, 1.75, dict(a=2, d=1),
dict(ref=depth(ref, 32)))
out = denoise
y = get_y(out)
lineart = vdf.edge_detect(y, 'FDOG', 0.055,
(1, 1)).std.Median().std.Convolution([*[1] * 9])
descale = core.descale.Debilinear(y, w, h)
upscale = vdf.fsrcnnx_upscale(
descale,
height=h * 2,
shader_file=r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
upscaler_smooth=eedi3_upscale,
profile='slow',
strength=85)
antialias = sraa_eedi3(upscale, 9)
downscale = muvf.SSIM_downsample(antialias,
src.width,
src.height,
filter_param_a=0,
filter_param_b=0)
downscale = core.std.MaskedMerge(y, downscale, lineart)
merged = vdf.merge_chroma(downscale, out)
out = depth(merged, 16)
detail_dark_mask = detail_dark_mask_func(get_y(out),
brz_a=8000,
brz_b=6000)
detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
'x y +').std.Median()
detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
2).std.Convolution([*[1] * 9])
detail_mask = core.std.Expr([get_y(out), detail_mask_grow, detail_mask],
f'x {32<<8} < y z ?')
deband = dumb3kdbv2(out, 22, 24)
deband = core.std.MaskedMerge(deband, out, detail_mask)
out = deband
ref = get_y(out).std.PlaneStats()
adgmask_a = core.adg.Mask(ref, 30)
adgmask_b = core.adg.Mask(ref, 12)
stgrain = sizedgrn(out, 0.1, 0.05, 1.05, sharp=80)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())
dygrain = sizedgrn(out, 0.2, 0.05, 1.15, sharp=80, static=False)
dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
out = grain
return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
# Variables
opstart, opend = 2038, 4196
eptitle_s, eptitle_e = 4197, 4316
edstart, edend = 31530, 33687
preview_s, preview_e = 33688, src.num_frames - 1
h = 720
w = get_w(h)
edges = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
out = depth(edges, 32)
ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
denoise = hybrid_denoise(out, 0.35, 1.75, dict(a=2, d=1),
dict(ref=depth(ref, 32)))
out = denoise
y = get_y(out)
lineart = vdf.edge_detect(y, 'FDOG', 0.055,
(1, 1)).std.Median().std.Convolution([*[1] * 9])
descale = core.descale.Debilinear(y, w, h)
upscale = vdf.fsrcnnx_upscale(
descale,
height=h * 2,
shader_file=r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
upscaler_smooth=eedi3_upscale,
profile='slow',
strength=85)
antialias = sraa_eedi3(upscale, 9)
downscale = muvf.SSIM_downsample(antialias,
src.width,
src.height,
filter_param_a=0,
filter_param_b=0)
downscale = core.std.MaskedMerge(y, downscale, lineart)
merged = vdf.merge_chroma(downscale, out)
merged = lvf.rfs(merged, out, [(opstart, opend), (eptitle_s, eptitle_e),
(preview_s, preview_e)])
out = depth(merged, 16)
detail_dark_mask = detail_dark_mask_func(get_y(out),
brz_a=8000,
brz_b=6000)
detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
'x y +').std.Median()
detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
2).std.Convolution([*[1] * 9])
detail_mask = core.std.Expr([get_y(out), detail_mask_grow, detail_mask],
f'x {32<<8} < y z ?')
deband = dumb3kdbv2(out, 22, 24)
deband = core.std.MaskedMerge(deband, out, detail_mask)
deband_b = dumb3kdbv2(out, 24, 64)
deband_b = core.std.MaskedMerge(deband_b, out, detail_light_mask)
deband = lvf.rfs(deband, deband_b, [(opstart + 414, opstart + 496)])
out = deband
ref = get_y(out).std.PlaneStats()
adgmask_a = core.adg.Mask(ref, 30)
adgmask_b = core.adg.Mask(ref, 12)
stgrain = sizedgrn(out, 0.1, 0.05, 1.05, sharp=80)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())
dygrain = sizedgrn(out, 0.2, 0.05, 1.15, sharp=80, static=False)
dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
out = grain
ref = depth(src, 16)
rescale_mask = vdf.drm(ref, 720, 'bilinear', mthr=30, sw=0, sh=0)
rescale_mask = vdf.region_mask(rescale_mask, *[10] * 4)
rescale_mask = hvf.mt_expand_multi(rescale_mask,
mode='ellipse',
sw=4,
sh=4)
rescale_mask = rescale_mask.std.Binarize(scale_value(
100, 8, 16)).std.Inflate().std.Convolution([*[1] * 9])
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
0), [(8993, 9066),
(20104, 20223),
(edstart, edend)])
out = credit
return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
# src += src[-1]
src = depth(src, 16)
out = src
opstart, opend = 480, 2637
edstart, edend = 32249, 34405
# Remove the noise
ref = hvf.SMDegrain(out, tr=1, thSAD=300, plane=4)
denoise = mvf.BM3D(out, sigma=[2, 1], radius1=1, ref=ref)
out = denoise
# Limited antialiasing
y = get_y(out)
lineart = core.std.Sobel(y).std.Binarize(75<<8).std.Maximum().std.Inflate()
aa = lvf.sraa(y, 2, 13, downscaler=partial(core.resize.Bicubic, filter_param_a=-0.5, filter_param_b=0.25))
sharp = hvf.LSFmod(aa, strength=70, Smode=3, edgemode=0, source=y)
y = core.std.MaskedMerge(y, sharp, lineart)
out = vdf.merge_chroma(y, out)
# Deband masks
planes = split(out)
preden = core.dfttest.DFTTest(out, sigma=14.0, sigma2=10.0, sbsize=1, sosize=0).rgvs.RemoveGrain(3)
grad_mask, yrangebig = morpho_mask(preden)
rgb = core.resize.Bicubic(preden, 960, 540, format=vs.RGB48).std.SetFrameProp('_Matrix', delete=True)
chroma_masks = [core.std.Prewitt(p).std.Binarize(5500).rgvs.RemoveGrain(11) for p in split(rgb) + split(preden)[1:]]
chroma_mask = core.std.Expr(chroma_masks, 'x y + z + a + b +').std.Maximum()
chroma_mask = core.std.Merge(chroma_mask, chroma_mask.std.Minimum()).std.BoxBlur(0, 1, 1, 1, 1)
fdogmask = vdf.edge_detect(preden.std.Median(), 'FDOG', 8250, (4, 1)).std.BoxBlur(0, 2, 1, 2, 1)
detail_mask = lvf.denoise.detail_mask(planes[0].std.BoxBlur(0, 1, 1, 1, 1), brz_a=3300, brz_b=2000)
# Debanding stages
debands = [None] * 3
deband_y_strong = dbs.f3kbilateral(planes[0], 16, 65)
deband_y_normal = dumb3kdb(planes[0], 16, 36)
deband_y_light = core.std.MaskedMerge(dumb3kdb(planes[0], 14, 32), planes[0], detail_mask)
debands[1] = dbs.f3kbilateral(planes[1], 12, 50)
debands[2] = dbs.f3kbilateral(planes[2], 12, 50)
debands[0] = core.std.MaskedMerge(deband_y_strong, deband_y_normal, grad_mask)
debands[0] = core.std.MaskedMerge(debands[0], deband_y_light, yrangebig)
debands[1], debands[2] = [core.std.MaskedMerge(debands[i], planes[i], chroma_mask) for i in range(1, 3)]
deband = join(debands)
deband = lvf.rfs(deband, core.std.MaskedMerge(dbs.f3kbilateral(out, 20, 97), out, fdogmask), [(opstart+2019, opstart+2036), (opstart+1504, opstart+1574)])
out = deband
# Regraining
ref = get_y(out).std.PlaneStats()
adgmask_a = core.adg.Mask(ref, 25)
adgmask_b = core.adg.Mask(ref, 10)
stgrain_a = core.grain.Add(out, 0.1, 0, seed=333)
stgrain_a = core.std.MaskedMerge(out, stgrain_a, adgmask_b.std.Invert())
stgrain_b = sizedgrn(out, 0.2, 0.1, 1.15, sharp=80, seed=333)
stgrain_b = core.std.MaskedMerge(out, stgrain_b, adgmask_b)
stgrain_b = core.std.MaskedMerge(out, stgrain_b, adgmask_a.std.Invert())
stgrain = core.std.MergeDiff(stgrain_b, out.std.MakeDiff(stgrain_a))
dygrain = sizedgrn(out, 0.3, 0.1, 1.25, sharp=80, static=False, seed=333)
dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
out = grain
# Credits OP and ED
ref = src
src_ncop, src_nced = [depth(c, 16) for c in [JPBD_NCOP.src_cut, JPBD_NCED.src_cut]]
src_c, src_ncop, src_nced = [c.std.BoxBlur(0, 2, 1, 2, 1) for c in [src, src_ncop, src_nced]]
opening_mask = vdf.dcm(out, src_c[opstart:opend+1], src_ncop[:opend-opstart+1], opstart, opend, 2, 2)
ending_mask = vdf.dcm(out, src_c[edstart:edend+1], src_nced[:edend-edstart+1], edstart, edend, 2, 2)
credit_mask = core.std.Expr([opening_mask, ending_mask], 'x y +').std.Inflate()
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, credit_mask), [(opstart, opend), (edstart, edend)])
out = credit
# Fix letterboxes ending
crop = core.std.Crop(out, 0, 0, 132, 132).edgefixer.ContinuityFixer(0, 1, 0, 0)
crop = core.std.AddBorders(crop, 0, 0, 132, 132)
out = lvf.rfs(out, crop, [(edstart, edend)])
return depth(out, 10).std.Limiter(16<<2, [235<<2, 240<<2], [0, 1, 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
# Variables
opstart, opend = 6161, 8319
eptitle_s, eptitle_e = 8320, 8439
edstart, edend = 31170, 33326
preview_s, preview_e = 33687, src.num_frames - 1
h = 720
w = get_w(h)
edges = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
out = depth(edges, 32)
ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
denoise = hybrid_denoise(out, 0.35, 1.75, dict(a=2, d=1),
dict(ref=depth(ref, 32)))
out = denoise
y = get_y(out)
lineart = vdf.edge_detect(y, 'FDOG', 0.055,
(1, 1)).std.Median().std.Convolution([*[1] * 9])
descale = core.descale.Debilinear(y, w, h)
upscale = vdf.fsrcnnx_upscale(
descale,
height=h * 2,
shader_file=r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
upscaler_smooth=eedi3_upscale,
profile='slow',
strength=85)
antialias = sraa_eedi3(upscale, 9)
downscale = muvf.SSIM_downsample(antialias,
src.width,
src.height,
filter_param_a=0,
filter_param_b=0)
downscale = core.std.MaskedMerge(y, downscale, lineart)
merged = vdf.merge_chroma(downscale, out)
merged = lvf.rfs(merged, out, [(opstart, opend), (eptitle_s, eptitle_e),
(preview_s, preview_e)])
out = depth(merged, 16)
detail_dark_mask = detail_dark_mask_func(get_y(out),
brz_a=8000,
brz_b=6000)
detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
'x y +').std.Median()
detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
2).std.Convolution([*[1] * 9])
detail_mask = core.std.Expr([get_y(out), detail_mask_grow, detail_mask],
f'x {32<<8} < y z ?')
deband = dumb3kdbv2(out, 22, 24)
deband = core.std.MaskedMerge(deband, out, detail_mask)
out = deband
ref = get_y(out).std.PlaneStats()
adgmask_a = core.adg.Mask(ref, 30)
adgmask_b = core.adg.Mask(ref, 12)
stgrain = sizedgrn(out, 0.1, 0.05, 1.05, sharp=80)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())
dygrain = sizedgrn(out, 0.2, 0.05, 1.15, sharp=80, static=False)
dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
out = grain
ref = depth(src, 16)
rescale_mask = vdf.drm(ref, 720, 'bilinear', mthr=30, sw=0, sh=0)
rescale_mask = vdf.region_mask(rescale_mask, *[10] * 4)
rescale_mask = hvf.mt_expand_multi(rescale_mask,
mode='ellipse',
sw=4,
sh=4)
rescale_mask = rescale_mask.std.Binarize(scale_value(
100, 8, 16)).std.Inflate().std.Convolution([*[1] * 9])
dehalo_ref = gf.MaskedDHA(ref,
rx=1.65,
ry=1.65,
darkstr=0.15,
brightstr=1.0,
maskpull=48,
maskpush=140)
dehalo_mask_a = vdf.region_mask(rescale_mask, top=650)
dehalo_mask_b = vdf.region_mask(rescale_mask, right=400)
credit = out
dehalo_range_a = [(25, 205), (518, 612), (2090, 2172), (14449, 14537)]
dehalo_range_b = [(3893, 3981)]
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
0),
[(2197, 2252), (4072, 4129), (4409, 4527), (5390, 5484),
(8473, 8603), (8610, 8669), (9826, 9909), (10666, 10713),
(12088, 12507), (14943, 15052), (17988, 18136),
(18897, 18976),
(edstart, edend)] + dehalo_range_a + dehalo_range_b)
credit = lvf.rfs(
credit, core.std.MaskedMerge(credit, dehalo_ref, dehalo_mask_a, 0),
dehalo_range_a)
credit = lvf.rfs(
credit, core.std.MaskedMerge(credit, dehalo_ref, dehalo_mask_b, 0),
dehalo_range_b)
out = credit
return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src
dbzone = (14775, 14846)
opstart, opend = 1200, 3356
edstart, edend = 31888, src.num_frames - 1
h = 846
w = get_w(h)
cubic_filters = ['catrom', 'mitchell', 'robidoux', 'robidoux sharp']
cubic_filters = [vdf.get_bicubic_params(cf) for cf in cubic_filters]
degrain = hybrid_denoise(out, 0.35, 1.2, dict(a=2, d=1))
degrain_b = hybrid_denoise(out, 0.55, 3, dict(a=2, d=1))
degrain = lvf.rfs(degrain, degrain_b, [dbzone])
out = degrain
y = get_y(out)
y32 = depth(y, 32)
lineart = vdf.edge_detect(y32, 'kirsch', 0.055,
(1, 1)).std.Median().std.Inflate()
descale_clips = [
core.descale.Debicubic(y32, w, h, b, c) for b, c in cubic_filters
]
descale = core.std.Expr(descale_clips,
'x y z a min min min x y z max max min')
conv = core.std.Convolution(descale, [1, 2, 1, 2, 0, 2, 1, 2, 1])
thr, coef = 0.013, 3
descale_fix = core.std.Expr([descale, conv],
f'x y - abs {thr} < y x ?').std.PlaneStats()
adapt_mask = core.adg.Mask(
descale_fix,
12).std.Invert().std.Expr(f'x 0.5 - {coef} * 0.5 + 0 max 1 min')
descale = core.std.MaskedMerge(descale, descale_fix, adapt_mask)
upscale = vdf.fsrcnnx_upscale(descale,
w * 2,
h * 2,
r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
upscaler_smooth=eedi3_upscale,
profile='zastin',
sharpener=partial(gf.DetailSharpen,
sstr=1.25,
power=4))
aa_strong = sraa_eedi3(upscale, 13, alpha=0.3, beta=0.5, gamma=40)
aa = aa_strong
down = muvf.SSIM_downsample(aa,
src.width,
src.height,
filter_param_a=0,
filter_param_b=0)
upscale = depth(core.std.MaskedMerge(y32, down, lineart), 16)
merged = vdf.merge_chroma(upscale, out)
out = merged
# Very bad halo
dehalo_a = gf.MaskedDHA(out,
rx=2.75,
ry=2.75,
darkstr=0.25,
brightstr=1.0,
maskpull=48,
maskpush=140)
dehalo_a = core.std.MaskedMerge(out, dehalo_a,
lvf.src('lapis_05_halomask_1.png', out))
dehalo_b = gf.MaskedDHA(out,
rx=2.25,
ry=2.25,
darkstr=0.25,
brightstr=1.0,
maskpull=48,
maskpush=140)
dehalo = lvf.rfs(out, dehalo_a, [(11677, 11765)])
dehalo = lvf.rfs(dehalo, dehalo_b, [(20509, 20690), (21242, 21276),
(25834, 25856), (26614, 26648),
(26682, 26761), (27685, 27719),
(27861, 27895), (27955, 28025)])
out = dehalo
y = get_y(out)
detail_light_mask = lvf.denoise.detail_mask(y, brz_a=2500, brz_b=1200)
pf = iterate(out, core.std.Maximum, 2).std.Convolution([10] * 9, planes=0)
diff = core.std.MakeDiff(out, pf)
deband = core.f3kdb.Deband(pf,
17,
36,
36,
36,
12,
12,
2,
keep_tv_range=True,
output_depth=16)
deband_b = core.f3kdb.Deband(pf,
17,
48,
48,
48,
12,
12,
2,
keep_tv_range=True,
output_depth=16)
deband = lvf.rfs(deband, deband_b, [dbzone])
deband = core.std.MergeDiff(deband, diff)
deband = core.std.MaskedMerge(deband, out, detail_light_mask)
out = deband
ref = degrain
pfed = ref.std.Median().std.Convolution([1] * 9, planes=0)
diff_ed = core.std.MakeDiff(ref, pfed)
deband_ed = core.f3kdb.Deband(pfed,
22,
30,
30,
30,
32,
32,
2,
keep_tv_range=True,
output_depth=16)
deband_ed = core.std.MergeDiff(deband_ed, diff_ed)
out = lvf.rfs(out, deband_ed, [(edstart, edend)])
grain = adptvgrnMod(out,
0.25,
0.15,
size=out.height / h,
sharp=80,
luma_scaling=10,
static=True)
out = grain
# # Restore 1080p stuff
ref = src
rescale_mask = vdf.drm(ref, h, mthr=65, sw=4, sh=4)
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
0), [(opstart, opend),
(3369, 3451)])
credit = lvf.rfs(credit, ref, [(18989, 19108)])
out = credit
return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src
h = 900
w = get_w(h)
# Remove the grain
ref = hvf.SMDegrain(out, tr=1, thSAD=300, plane=4)
degrain = mvf.BM3D(out, sigma=[1.5, 1], radius1=1, ref=ref)
degrain = insert_clip(degrain, smhdegrain(out[5539:5670], 2, 280), 5539)
degrain = insert_clip(degrain, smhdegrain(out[5933:5992], 2, 200), 5933)
degrain = insert_clip(degrain, smhdegrain(out[6115:6180], 2, 200), 6115)
degrain = insert_clip(degrain, smhdegrain(out[6180:6281], 2, 200), 6180)
degrain = insert_clip(degrain, smhdegrain(out[39303:39482], 2, 280), 39303)
degrain = insert_clip(degrain, smhdegrain(out[40391:40837], 2, 200), 40391)
degrain = insert_clip(degrain, smhdegrain(out[40908:41087], 2, 280), 40908)
degrain = insert_clip(degrain, smhdegrain(out[41671:41791], 2, 280), 41671)
degrain = insert_clip(degrain, smhdegrain(out[41791:41977], 2, 280), 41791)
degrain = insert_clip(degrain, smhdegrain(out[41977:42073], 2, 280), 41977)
degrain = insert_clip(degrain, smhdegrain(out[43083:44462], 2, 350), 43083)
degrain = lvf.rfs(degrain, out, [(51749, 52387)])
out = depth(degrain, 32)
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'kirsch', 0.075,
(1, 1)).std.Median().std.Inflate()
descale = core.descale.Debilinear(luma, w, h)
upscale = eedi3_upscale(descale)
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.2,
beta=0.6,
gamma=300,
mdis=15).resize.Bicubic(
src.width, src.height)
rescale = core.std.MaskedMerge(luma, antialias, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
y = get_y(out)
detail_light_mask = lvf.denoise.detail_mask(y.std.Median(),
brz_a=2500,
brz_b=1200)
pf = out.std.Convolution([1] * 9).std.Merge(out, 0.45)
diffdb = core.std.MakeDiff(out, pf)
deband = dumb3kdb(pf, 16, 30)
deband_b = dbs.f3kbilateral(pf, 20, 100)
deband = lvf.rfs(deband, deband_b, [(43083, 44461)])
deband = core.std.MergeDiff(deband, diffdb)
deband = core.std.MaskedMerge(deband, out, detail_light_mask)
deband = lvf.rfs(deband, out, [(51749, 52387)])
out = deband
sharp = hvf.LSFmod(out,
strength=65,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
ref = get_y(out).std.PlaneStats()
adgmask_a = core.adg.Mask(ref, 30)
adgmask_b = core.adg.Mask(ref, 12)
stgrain = sizedgrn(out, 0.1, 0.05, 1.00)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())
dygrain = sizedgrn(out, 0.2, 0.05, 1.05, sharp=60, static=False)
dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
out = grain
ref = src
rescale_mask = vdf.drm(ref, h, mthr=65, sw=4, sh=4)
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
0), [(0, 2956),
(43104, 45749)])
credit = lvf.rfs(credit, ref, [(45824, 50401),
(52388, src.num_frames - 1)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src
edstart, edend = 31888, src.num_frames-1
shift = core.resize.Point(out, src_left=1).edgefixer.ContinuityFixer([2, 1, 1], 0, 0, 0)
out = lvf.rfs(out, shift, [(235, 318)])
ref = hvf.SMDegrain(out, tr=1, thSAD=300, plane=4)
denoise = mvf.BM3D(out, [1.5, 1], 1, profile1='lc', ref=ref)
out = denoise
y = get_y(out)
lineart = vdf.edge_detect(y, 'FDOG', scale_value(0.065, 32, 16), (1, 1)).std.Median().std.BoxBlur(0, 1, 1, 1, 1)
rescale = fake_rescale(y, 837.5, 1/3, 1/3, coef_dering=0.1, coef_dark=1.25,
coef_warp=1.15, coef_sharp=0.75, coef_finalsharp=0.85)
rescale = core.std.MaskedMerge(y, rescale, lineart)
out = vdf.merge_chroma(rescale, out)
preden = core.dfttest.DFTTest(get_y(out), ftype=0, sigma=0.5, sbsize=16, sosize=12, tbsize=1)
detail_dark_mask = detail_dark_mask_func(preden, brz_a=6000, brz_b=5000)
detail_light_mask = lvf.denoise.detail_mask(preden, brz_a=2500, brz_b=1200)
detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask], 'x y +').std.Median()
detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate, 2).std.BoxBlur(0, 1, 1, 1, 1)
detail_mask = core.std.Expr([preden, detail_mask_grow, detail_mask], f'x {40<<8} < y z ?')
pf = vdf.merge_chroma(preden, out)
deband = dumb3kdb(pf, 17, 40)
deband_b = dumb3kdb(pf, 20, 80)
deband = lvf.rfs(deband, deband_b, [(2194, 2216), (2283, 2306)])
deband = core.std.MergeDiff(deband, out.std.MakeDiff(pf))
deband = core.std.MaskedMerge(deband, out, detail_light_mask)
out = deband
grain = kgf.adaptive_grain(out, 0.35)
out = grain
ref = depth(src, 16)
src_c, src_nced = [depth(x, 16) for x in [src, JPBD_NCED.src_cut[13:]]]
ending_mask = vdf.dcm(out, src_c[edstart:edend+1], src_nced[:edend-edstart+1], edstart, edend, 2, 2).std.BoxBlur(0, 2, 2, 2, 2)
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, ending_mask), [(31900, src.num_frames-1)])
out = credit
return depth(out, 10).std.Limiter(16<<2, [235<<2, 240<<2], [0, 1, 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src += src[-1]
# Variables
opstart, opend = 8296, 10452
eptitle_s, eptitle_e = 10453, 10572
edstart, edend = 31528, 33685
preview_s, preview_e = 33686, src.num_frames - 1
h = 720
w = get_w(h)
edges = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
out = depth(edges, 32)
ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
denoise = hybrid_denoise(out, 0.35, 1.75, dict(a=2, d=1),
dict(ref=depth(ref, 32)))
out = denoise
y = get_y(out)
lineart = vdf.edge_detect(y, 'FDOG', 0.055,
(1, 1)).std.Median().std.Convolution([*[1] * 9])
descale = core.descale.Debilinear(y, w, h)
upscale = vdf.fsrcnnx_upscale(
descale,
height=h * 2,
shader_file=r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
upscaler_smooth=eedi3_upscale,
profile='slow',
strength=85)
antialias = sraa_eedi3(upscale, 9)
downscale = muvf.SSIM_downsample(antialias,
src.width,
src.height,
filter_param_a=0,
filter_param_b=0)
downscale = core.std.MaskedMerge(y, downscale, lineart)
merged = vdf.merge_chroma(downscale, out)
merged = lvf.rfs(merged, out, [(opstart, opend), (eptitle_s, eptitle_e),
(preview_s, preview_e)])
out = depth(merged, 16)
detail_dark_mask = detail_dark_mask_func(get_y(out),
brz_a=8000,
brz_b=6000)
detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
'x y +').std.Median()
detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
2).std.Convolution([*[1] * 9])
detail_mask = core.std.Expr([get_y(out), detail_mask_grow, detail_mask],
f'x {32<<8} < y z ?')
deband = dumb3kdbv2(out, 22, 24)
deband = core.std.MaskedMerge(deband, out, detail_mask)
deband_b = dumb3kdbv2(out, 24, 64)
deband_b = core.std.MaskedMerge(deband_b, out, detail_light_mask)
deband = lvf.rfs(deband, deband_b, [(opstart + 414, opstart + 496)])
out = deband
ref = get_y(out).std.PlaneStats()
adgmask_a = core.adg.Mask(ref, 30)
adgmask_b = core.adg.Mask(ref, 12)
stgrain = sizedgrn(out, 0.1, 0.05, 1.05, sharp=80)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())
dygrain = sizedgrn(out, 0.2, 0.05, 1.15, sharp=80, static=False)
dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
out = grain
ref = depth(src, 16)
rescale_mask = vdf.drm(ref, 720, 'bilinear', mthr=30, sw=0, sh=0)
rescale_mask = vdf.region_mask(rescale_mask, *[10] * 4)
rescale_mask = hvf.mt_expand_multi(rescale_mask,
mode='ellipse',
sw=4,
sh=4)
rescale_mask = rescale_mask.std.Binarize(scale_value(
100, 8, 16)).std.Inflate().std.Convolution([*[1] * 9])
dehalo_ref = gf.MaskedDHA(ref,
rx=1.65,
ry=1.65,
darkstr=0.15,
brightstr=1.0,
maskpull=48,
maskpush=140)
dehalo_mask_a = vdf.region_mask(rescale_mask, top=650, right=200)
credit = out
dehalo_range_a = [(18, 130), (1291, 1355), (14691, 14846), (15126, 15189)]
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
0),
[(131, 220), (400, 505), (817, 899), (1766, 1809),
(1925, 2041), (4033, 4116), (4342, 4453), (4964, 5031),
(6422, 6515), (7848, 7978),
(10606, 10728), (11619, 11701), (15339, 15457),
(edstart, edend)] + dehalo_range_a)
credit = lvf.rfs(
credit, core.std.MaskedMerge(credit, dehalo_ref, dehalo_mask_a, 0),
dehalo_range_a)
out = credit
return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
ep10 = JPBD_10.src_cut
h = 720
w = get_w(h)
b, c = vdf.get_bicubic_params('robidoux')
opstart, opend = 744, 3140
opstart_ep10, opend_ep10 = 768, 3164
full_stuff = [(3145, 3269), (18289, 18444), (29158, 33410)]
border = rkt.rekt_fast(src,
lambda x: core.fb.FillBorders(x, 0, 0, 0, 2),
right=1212)
fixstudioshit = lvf.rfs(src, border, [31759])
border = rkt.rekt_fast(src,
lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
right=1212)
fixstudioshit = lvf.rfs(fixstudioshit, border, [31760])
border = rkt.rekt_fast(src,
lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
right=1274)
fixstudioshit = lvf.rfs(fixstudioshit, border, [(31761, 31762)])
border = rkt.rekt_fast(src,
lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
right=1300)
fixstudioshit = lvf.rfs(fixstudioshit, border, [31763])
border = rkt.rekt_fast(src,
lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
right=1322)
fixstudioshit = lvf.rfs(fixstudioshit, border, [31764])
border = rkt.rekt_fast(src,
lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
right=1342)
fixstudioshit = lvf.rfs(fixstudioshit, border, [31765])
border = rkt.rekt_fast(src,
lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
right=1356)
fixstudioshit = lvf.rfs(fixstudioshit, border, [31766])
border = rkt.rekt_fast(src,
lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
right=1368)
fixstudioshit = lvf.rfs(fixstudioshit, border, [31767])
border = rkt.rekt_fast(src,
lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
right=1376)
fixstudioshit = lvf.rfs(fixstudioshit, border, [31768])
border = rkt.rekt_fast(src,
lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
right=1382)
fixstudioshit = lvf.rfs(fixstudioshit, border, [(31769, 31793)])
src = fixstudioshit
# Fix compositing error in the OP
op_src, op_10 = src[opstart:opend + 1], ep10[opstart_ep10:opend_ep10 + 1]
fix = lvf.rfs(op_src, op_10, [(0, 79), (1035, 1037)])
fix_src = insert_clip(src, fix, opstart)
src = depth(fix_src, 32)
denoise = hybrid_denoise(src, 0.5, 2)
out = denoise
luma = get_y(out)
line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))
descale = core.descale.Debicubic(luma, w, h, b, c)
upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
'_shaders/FSRCNNX_x2_56-16-4-1.glsl',
core.resize.Point)
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.3,
beta=0.45,
gamma=320,
mdis=18)
scaled = muvf.SSIM_downsample(antialias,
src.width,
src.height,
kernel='Bicubic')
rescale = core.std.MaskedMerge(luma, scaled, line_mask)
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
antialias = lvf.rfs(
out,
lvf.sraa(out,
1.65,
9,
alpha=0.3,
beta=0.45,
gamma=240,
nrad=3,
mdis=25), [(opstart + 840, opstart + 881)])
out = antialias
# Slight sharp though CAS
sharp = hvf.LSFmod(out,
strength=75,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
out = sharp
dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
out = dering
warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
out = warp
preden = core.knlm.KNLMeansCL(out,
d=0,
a=3,
h=0.6,
device_type='GPU',
channels='Y')
deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
deband = dbs.f3kpf(out, 17, 42, 42)
deband_b = placebo.deband(out, 22, 6, 2)
deband = lvf.rfs(deband, deband_b, [(opstart + 1515, opstart + 1603)])
deband_c = placebo.deband(out, 17, 6, 3)
deband = lvf.rfs(deband, deband_c, [(12529, 12615)])
deband_d = placebo.deband(out, 10, 3, 1)
deband = lvf.rfs(deband, deband_d, [(21077, 21304), (22141, 22278),
(22861, 22944), (29354, 29425),
(33555, 33614)])
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
adg_mask = core.adg.Mask(out.std.PlaneStats(),
20).std.Expr(f'x x {128<<8} - 0.25 * +')
grain = core.grain.Add(out, 0.2, constant=True)
grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
out = grain
rescale_mask = vdf.drm(luma, b=b, c=c, sw=4, sh=4)
ref, rescale_mask, src, src_ncop = [
depth(x, 16) for x in [denoise, rescale_mask, src, JPBD_NCOP.src_cut]
]
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask),
full_stuff)
out = credit
src_c, src_ncop = [
c.knlm.KNLMeansCL(a=7, h=35, d=0, device_type='gpu')
for c in [src, src_ncop]
]
opening_mask = vdf.dcm(out, src_c[opstart:opend + 1],
src_ncop[:opend - opstart + 1], opstart, opend, 4,
4).std.Inflate()
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, opening_mask),
[(opstart, opend)])
out = credit
return depth(out, 10)
