def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src
opstart, opend = 480, 2637
edstart, edend = 29707, 31863
dehalo = gf.MaskedDHA(out,
rx=1.35,
ry=1.35,
darkstr=0.25,
brightstr=1.0,
maskpull=46,
maskpush=148)
out = dehalo
antialias = lvf.sraa(out, 1.5, 9, downscaler=core.resize.Bicubic)
antialias_b = lvf.sraa(antialias, 1.05, 3, downscaler=core.resize.Bicubic)
antialias_b = TAAmbk(antialias_b,
aatype='Eedi3SangNom',
cycle=4,
thin=2,
sharp=100,
mtype=0,
down8=False)
antialias = lvf.rfs(antialias, antialias_b, [(19956, 20029)])
out = antialias
sharp = hvf.LSFmod(out,
strength=75,
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, 24, 24)
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
src_c, ncop, nced = [
clip.std.Median()
for clip in [src, JPBD_NCOP.src_cut, JPBD_NCED.src_cut]
]
opening_mask = vdf.dcm(out, src_c[opstart:opend + 1],
ncop[:opend - opstart + 1], opstart, opend, 3, 3)
ending_mask = vdf.dcm(out, src_c[edstart:edend + 1],
nced[:edend - edstart + 1], edstart, edend, 3, 3)
credit_mask = core.std.Expr([opening_mask, ending_mask],
'x y +').std.Convolution([1] * 9)
credit = lvf.rfs(out, core.std.MaskedMerge(out, src, credit_mask),
[(opstart, opend), (edstart, edend)])
out = credit
return depth(out, 10)
def filterchain() -> Union[vs.VideoNode, Tuple[vs.VideoNode, ...]]:
"""Regular VapourSynth filterchain"""
import lvsfunc as lvf
import vardefunc as vdf
from vsutil import depth, get_y
src, *_ = trim()
src_CR = JP_CR.clip_cut
src_NCOP, src_NCED = YT_NCOP.clip, YT_NCED.clip
b = core.std.BlankClip(src, length=1)
# OP/ED stack comps to check that it lines up
op_scomp = lvf.scomp(src[opstart:opstart + src_NCOP.num_frames - 1] + b,
src_NCOP[:-op_offset] + b) # noqa
ed_scomp = lvf.scomp(src[edstart:edstart + src_NCED.num_frames - 1] + b,
src_NCED[:-ed_offset] + b) # noqa
# Blurring clips
blur_src = core.bilateral.Gaussian(src, sigma=2.5)
blur_NCOP = core.bilateral.Gaussian(src_NCOP, sigma=2.5)
blur_NCED = core.bilateral.Gaussian(src_NCED, sigma=2.5)
# Masking credits
op_mask = vdf.dcm(
blur_src, blur_src[opstart:opstart+src_NCOP.num_frames-op_offset], blur_NCOP[:-op_offset],
start_frame=opstart, thr=28, prefilter=False) if opstart is not False \
else get_y(core.std.BlankClip(src))
ed_mask = vdf.dcm(
blur_src, blur_src[edstart:edstart+src_NCED.num_frames-ed_offset], blur_NCED[:-ed_offset],
start_frame=edstart, thr=25, prefilter=False) if edstart is not False \
else get_y(core.std.BlankClip(src))
credit_mask = core.std.Expr([op_mask, ed_mask], expr='x y +')
credit_mask = depth(credit_mask, 16).std.Binarize()
src = depth(src, 16)
line_mask = vdf.mask.FDOG().get_mask(get_y(src))
src_merge = core.std.MaskedMerge(src, depth(src_CR, 16), line_mask)
src_y = get_y(src_merge)
denoise_y = flt.bm3d_ref(src_y,
bm3d_sigma=1,
dec_sigma=8,
dec_min=192 << 8)
denoise_y = core.std.MaskedMerge(denoise_y, src_y, line_mask)
merged = vdf.misc.merge_chroma(denoise_y, src)
dehalo = flt.bidehalo(merged, sigma=1, mask_args={'brz': 0.25})
cmerged = core.std.MaskedMerge(dehalo, src, credit_mask)
deband = flt.masked_f3kdb(cmerged,
thr=20,
grain=12,
mask_args={'brz': (1500, 3500)})
grain = flt.default_grain(deband)
return grain # type: ignore
def mask_oped(clip: vs.VideoNode, src: vs.VideoNode,
op: Optional[Tuple[int, int]], ed: Optional[Tuple[int, int]],
src_op: vs.VideoNode, src_ed: vs.VideoNode) -> vs.VideoNode:
merge = clip
if op is not None:
credit_op_m = dcm(clip, src[op[0]:op[1] + 1],
src_op[:op[1] - op[0] + 1], op[0], op[1], 2, 2)
merge = core.std.MaskedMerge(merge, src, credit_op_m)
if ed is not None:
credit_ed_m = dcm(clip, src[ed[0]:ed[1] + 1],
src_ed[:ed[1] - ed[0] + 1], ed[0], ed[1], 2, 2)
merge = core.std.MaskedMerge(merge, src, credit_ed_m)
return merge
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src + src[-1]
opstart, opend = 2638, 4794
edstart, edend = 31767, 33924
dehalo = gf.MaskedDHA(out,
rx=1.35,
ry=1.35,
darkstr=0.25,
brightstr=1.0,
maskpull=46,
maskpush=148)
out = dehalo
antialias = lvf.sraa(out, 1.5, 9, downscaler=core.resize.Bicubic)
out = antialias
sharp = hvf.LSFmod(out,
strength=75,
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, 24, 24)
deband = core.std.MaskedMerge(deband, out, deband_mask)
out = deband
src_c, ncop, nced = [
clip.std.Median()
for clip in [src, JPBD_NCOP.src_cut, JPBD_NCED.src_cut]
]
opening_mask = vdf.dcm(out, src_c[opstart:opend + 1],
ncop[:opend - opstart + 1], opstart, opend, 3, 3)
ending_mask = vdf.dcm(out, src_c[edstart:edend + 1],
nced[:edend - edstart + 1], edstart, edend, 3, 3)
credit_mask = core.std.Expr([opening_mask, ending_mask],
'x y +').std.Convolution([1] * 9)
credit = lvf.rfs(out, core.std.MaskedMerge(out, src, credit_mask),
[(opstart, opend), (edstart, edend)])
out = credit
return depth(out, 10)
def recreate_OP1E():
src_nc = OP1D.clip_cut
src_ep = EP13.clip_cut[6954:6954 + src_nc.num_frames]
op = lvf.rfs(src_nc, src_ep, [(2048, 2156)])
mask = vdf.dcm(op,
op[0:src_nc.num_frames - 1],
src_nc,
0,
thr=248,
prefilter=True)
merge = core.std.MaskedMerge(op, src_nc, mask[2075])
op = lvf.rfs(op, merge, [(2048, 2092)])
pause = src_ep.std.FreezeFrames(2111, src_ep.num_frames - 1, 2111)
fade = kgf.crossfade(pause[0:2159], core.std.BlankClip(pause),
32)[0:src_nc.num_frames]
merge = core.std.MaskedMerge(op, fade,
mask[2155].std.Minimum().std.Minimum())
op = lvf.rfs(op, merge, [(2112, 2156)])
pause = op.std.FreezeFrames(2121, op.num_frames - 1, 2121)
fade = kgf.crossfade(pause[0:2159], core.std.BlankClip(pause),
32)[0:src_nc.num_frames]
merge = core.std.MaskedMerge(op, fade,
mask[2155].std.Minimum().std.Minimum())
op = lvf.rfs(op, merge, [(2112, 2156)])
mask_img = core.imwri.Read(MASK).resize.Point(format=fade.format.id,
matrix_s="709")
mask = core.std.Binarize(mask_img, 128).std.Maximum().std.Deflate()
return core.std.MaskedMerge(fade, op, mask, [0, 1, 2])
def filterchain() -> Union[vs.VideoNode, Tuple[vs.VideoNode, ...]]:
"""Main filterchain"""
import havsfunc as haf
import lvsfunc as lvf
import rekt
import vardefunc as vdf
from adptvgrnMod import adptvgrnMod
from ccd import ccd
from vsutil import depth, get_w, get_y
src: vs.VideoNode = pre_corrections() # type:ignore[assignment]
src_NCED = JP_BD_NCED.clip_cut
# Masking credits
ed_mask = vdf.dcm(
src, src[edstart:edstart+src_NCED.num_frames-ed_offset], src_NCED[:-ed_offset],
start_frame=edstart, thr=25, prefilter=False) if edstart is not False \
else get_y(core.std.BlankClip(src))
credit_mask = depth(ed_mask, 16).std.Binarize()
rkt = rekt.rektlvls(src, [0, 1079], [7, 7], [0, 1919], [7, 7],
prot_val=None)
rkt = depth(rkt, 16)
denoise_uv = ccd(rkt, threshold=7, matrix='709')
stab = haf.GSMC(denoise_uv, radius=1, thSAD=200, planes=[0])
decs = vdf.noise.decsiz(stab, sigmaS=8, min_in=208 << 8, max_in=232 << 8)
l_mask = vdf.mask.FDOG().get_mask(get_y(decs), lthr=0.065,
hthr=0.065).std.Maximum().std.Minimum()
l_mask = l_mask.std.Median().std.Convolution([1] * 9)
aa_weak = lvf.aa.taa(decs, lvf.aa.nnedi3(opencl=True))
aa_strong = lvf.aa.upscaled_sraa(decs,
downscaler=lvf.kernels.Bicubic(b=-1 / 2,
c=1 /
4).scale)
aa_clamp = lvf.aa.clamp_aa(decs, aa_weak, aa_strong, strength=1.5)
aa_masked = core.std.MaskedMerge(decs, aa_clamp, l_mask)
dehalo = haf.FineDehalo(aa_masked,
rx=1.6,
ry=1.6,
darkstr=0,
brightstr=1.25)
darken = flt.line_darkening(dehalo, 0.275).warp.AWarpSharp2(depth=2)
merged_credits = core.std.MaskedMerge(darken, decs, credit_mask)
deband = flt.masked_f3kdb(merged_credits, rad=18, thr=32, grain=[32, 12])
grain: vs.VideoNode = adptvgrnMod(deband,
seed=42069,
strength=0.35,
luma_scaling=8,
size=1.05,
sharp=80,
grain_chroma=False)
return grain
def mask_nc(clip: vs.VideoNode,
src: vs.VideoNode,
ncop: FileInfo,
nced: FileInfo,
OP: Optional[int] = None,
ED: Optional[int] = None) -> vs.VideoNode:
mask_op = vdf.dcm(src,
src[OP:OP + ncop.clip_cut.num_frames],
ncop.clip_cut,
OP,
thr=128,
prefilter=True) if OP else get_y(core.std.BlankClip(src))
mask_ed = vdf.dcm(src,
src[ED:ED + nced.clip_cut.num_frames],
nced.clip_cut,
ED,
thr=128,
prefilter=True) if ED else get_y(core.std.BlankClip(src))
credit_mask = depth(core.std.Expr([mask_op, mask_ed], expr='x y +'), 16)
merge = core.std.MaskedMerge(depth(clip, 16), depth(src, 16), credit_mask)
return merge
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
h = 720
w = get_w(h)
edgesfix = awf.bbmod(src, 1, 1, 1, 1, 48, 500)
out = edgesfix
clip = depth(out, 32)
denoise = hybrid_denoise(clip, 0.45, 1.5)
out = denoise
luma = get_y(out)
line_mask = line_mask_func(luma)
descale = core.descale.Debilinear(luma, w, h)
upscale = vdf.nnedi3_upscale(descale, pscrn=1)
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.2,
beta=0.5,
gamma=600,
mdis=15)
scaled = core.resize.Bicubic(antialias, src.width, src.height)
rescale = core.std.MaskedMerge(luma, scaled, depth(line_mask, 32))
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
preden = core.knlm.KNLMeansCL(get_y(out),
h=0.75,
a=2,
d=3,
device_type='gpu',
device_id=0)
detail_dark_mask = detail_dark_mask_func(preden, brz_a=8000, brz_b=6000)
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.Convolution([1, 1, 1, 1, 1, 1, 1, 1, 1])
detail_mask = core.std.Expr([preden, detail_mask_grow, detail_mask],
f'x {32<<8} < y z ?')
op_mask = mask_opening(out)
op_mask = iterate(op_mask, core.std.Deflate, 2)
deband_a = dbs.f3kpf(out, 17, 36, 42, thr=0.5, elast=2, thrc=0.2)
deband_b = placebo.deband(out, 18, 5.5, 2, 0)
deband_c = placebo.deband(out, 22, 10, 3, 0)
deband = core.std.MaskedMerge(deband_a, deband_b, preden)
deband = core.std.MaskedMerge(deband, out, detail_mask)
deband = lvf.rfs(deband, core.std.MaskedMerge(deband_c, deband, op_mask),
[(OPSTART + 0, OPSTART + 38)])
deband = lvf.rfs(deband, deband_b, [(OPSTART + 236, OPSTART + 284)])
deband = lvf.rfs(deband, deband_c, [(OPSTART + 1934, OPSTART + 1944)])
deband = core.neo_f3kdb.Deband(deband,
preset='depth',
grainy=24,
grainc=24)
out = deband
ref, src, src_ncop = [
depth(x, 16) for x in [denoise, src, JPBD_NCOP.src_cut]
]
credit_mask = vdf.drm(ref, kernel='bilinear', mthr=65)
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, credit_mask, 0),
[(0, 3164)])
credit = lvf.rfs(credit, ref, [(34693, 34764)])
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
grain = adptvgrnMod(out,
0.3,
0.15,
1.25,
luma_scaling=8,
sharp=80,
static=False,
lo=19)
out = grain
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
src = depth(src, 32)
src += src[-1]
src = core.std.FreezeFrames(src, 3130, 3153, 3129)
black = src.std.BlankClip().grain.Add(0.2)
src = vdf.fade_filter(src, src, black, 3130, 3154)
src = depth(src, 16)
h = 882
w = get_w(h)
kernel = 'lanczos'
taps = 5
opstart, opend = 264, 2421
edstart, edend = 31767, 33924
denoise = CoolDegrain(src, tr=1, thsad=24, blksize=8, overlap=4, plane=4)
out = denoise
luma = get_y(out)
descale = kgf.get_descale_filter(kernel, taps=taps)(depth(luma, 32), w, h)
upscale = vdf.fsrcnnx_upscale(depth(descale, 16), src.width, src.height, '_assets/shaders/FSRCNNX_x2_56-16-4-1.glsl',
partial(core.resize.Bicubic, filter_param_a=0, filter_param_b=0))
out = upscale
unwarp = line_darkening(out, 0.275).warp.AWarpSharp2(depth=-2.5)
sharp = hvf.LSFmod(unwarp, strength=90, Smode=3, Lmode=1, edgemode=1, edgemaskHQ=True)
stabilize = stabilization(out, sharp, 2, 1, 8, 16)
out = vdf.merge_chroma(stabilize, denoise)
antialias = lvf.sraa(out, 1.4, rep=7, downscaler=core.resize.Bicubic)
out = lvf.rfs(antialias, vdf.merge_chroma(upscale, denoise), [(edstart, edend)])
deband_mask = lvf.denoise.detail_mask(out, brz_a=2000, brz_b=1000)
deband = dbs.f3kpf(out, 17, 36, 36)
deband_b = dbs.f3kpf(out, 17, 56, 56)
deband = lvf.rfs(deband, out, [(3149, 3153)])
deband = lvf.rfs(deband, deband_b, [(30213, 30422)])
deband = core.std.MaskedMerge(deband, out, deband_mask)
deband = core.neo_f3kdb.Deband(deband, preset='depth', grainy=24, grainc=18, keep_tv_range=True)
out = deband
grain = kgf.adaptive_grain(out, 0.2, luma_scaling=14)
out = grain
rescale_mask = vdf.drm(src, h, kernel, taps, mthr=40, sw=4, sh=4)
creditless_mask = core.std.Expr([
vdf.dcm(src, src[opstart:opend+1], JPBD_NCOP.src_cut[:opend-opstart+1],
opstart, opend, 2, 2).std.Deflate(),
vdf.dcm(src, src[edstart:edend+1], JPBD_NCED.src_cut[:edend-edstart+1],
edstart, edend, 2, 2).std.Deflate()], 'x y +')
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, src, rescale_mask, 0),
[(opstart+425, opstart+698), (33971, src.num_frames-1)])
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, src, creditless_mask, 0),
[(opstart, opend), (edstart, edend)])
credit = lvf.rfs(credit, src, [(7670, 7717), (20824, 20871), (26581, 26628)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
h = 882
w = get_w(h)
kernel = 'lanczos'
taps = 5
opstart, opend = 1918, 4076
edstart, edend = 31768, 33925
denoise = CoolDegrain(src, tr=1, thsad=24, blksize=8, overlap=4, plane=4)
out = denoise
luma = get_y(out)
descale = kgf.get_descale_filter(kernel, taps=taps)(depth(luma, 32), w, h)
upscale = vdf.fsrcnnx_upscale(
depth(descale, 16), src.width, src.height,
'_assets/shaders/FSRCNNX_x2_56-16-4-1.glsl',
partial(core.resize.Bicubic, filter_param_a=0, filter_param_b=0))
out = upscale
import G41Fun as gf
from vsTAAmbk import TAAmbk
dehalo = gf.MaskedDHA(out,
rx=2.8,
ry=2.8,
darkstr=0.4,
brightstr=1.4,
maskpull=48,
maskpush=140)
aaa = TAAmbk(dehalo, 'Eedi3SangNom', cycle=4, mtype=0)
aaa = lvf.rfs(out, aaa, [(16052, 16105)])
out = aaa
unwarp = line_darkening(out, 0.275).warp.AWarpSharp2(depth=-2.5)
sharp = hvf.LSFmod(unwarp,
strength=90,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
stabilize = stabilization(out, sharp, 2, 1, 8, 16)
out = vdf.merge_chroma(stabilize, denoise)
antialias = lvf.sraa(out, 1.4, rep=7, downscaler=core.resize.Bicubic)
out = lvf.rfs(antialias, vdf.merge_chroma(upscale, denoise),
[(edstart, edend)])
deband_mask = lvf.denoise.detail_mask(out, brz_a=2000, brz_b=1000)
deband = dbs.f3kpf(out, 17, 36, 36)
deband = core.std.MaskedMerge(deband, out, deband_mask)
deband = core.neo_f3kdb.Deband(deband,
preset='depth',
grainy=24,
grainc=18,
keep_tv_range=True)
out = deband
grain = kgf.adaptive_grain(out, 0.2, luma_scaling=14)
out = grain
rescale_mask = vdf.drm(src, h, kernel, taps, mthr=40, sw=4, sh=4)
creditless_mask = core.std.Expr([
vdf.dcm(src, src[opstart:opend + 1],
JPBD_NCOP.src_cut[:opend - opstart + 1], opstart, opend, 2,
2).std.Deflate(),
vdf.dcm(src, src[edstart:edend + 1],
JPBD_NCED.src_cut[:edend - edstart + 1], edstart, edend, 2,
2).std.Deflate()
], 'x y +')
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, src, rescale_mask,
0),
[(opstart + 425, opstart + 698),
(33972, src.num_frames - 1), (21962, 22009)])
credit = lvf.rfs(credit,
core.std.MaskedMerge(credit, src, creditless_mask, 0),
[(opstart, opend), (edstart, edend)])
credit = lvf.rfs(credit, src, [(5057, 5104), (12371, 12418)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
out = src
edstart1, edend1 = 37428, 37428 + 2160
edstart2, edend2 = edend1 + 12, edend1 + 2160
ref = hvf.SMDegrain(out, thSAD=300)
denoise = mvf.BM3D(out, [1.5, 1.25], radius1=1, ref=ref)
out = denoise
y = get_y(out)
lineart = gf.EdgeDetect(y, 'scharr').morpho.Dilate(2, 2).std.Inflate()
fkrescale = fake_rescale(
y, 882, 0, 1,
deringer=lambda x: gf.MaskedDHA(x, rx=1.85, ry=1.85, darkstr=0.25, brightstr=1.0, maskpull=100, maskpush=200),
antialiser=lambda c: lvf.sraa(c, 2, 13, downscaler=core.resize.Bicubic)
)
merged = core.std.MaskedMerge(y, fkrescale, lineart)
out = vdf.merge_chroma(merged, out)
dering = hvf.EdgeCleaner(out, 17, smode=1, hot=True)
out = dering
out = lvf.rfs(out, denoise, [(edstart1, src.num_frames - 1)])
detail_mask = lvf.mask.detail_mask(out, brz_a=2250, brz_b=1000)
deband = vdf.dumb3kdb(out, 15, threshold=17, grain=(24, 0))
deband = core.std.MaskedMerge(deband, out, detail_mask)
out = deband
grain = adptvgrnMod(out, 0.3, static=True, grain_chroma=False, hi=[128, 240], seed=333)
out = grain
decz = vdf.decsiz(out, min_in=128 << 8, max_in=200 << 8)
out = decz
ref = depth(src, 16)
src_c, src_nced1, src_nced2 = [
depth(x, 16).std.Convolution(
[1, 2, 1, 2, 4, 2, 1, 2, 1]
) for x in [src, JPBD_NCED1.src_cut, JPBD_NCED2.src_cut]
]
ending_mask1 = vdf.dcm(out, src_c[edstart1:edend1 + 1], src_nced1[:edend1 - edstart1 + 1], edstart1, edend1, 2, 2)
ending_mask2 = vdf.dcm(out, src_c[edstart2:edend2 + 1], src_nced2[:edend2 - edstart2 + 1], edstart2, edend2, 2, 2)
ending_mask = core.std.Expr([ending_mask1, ending_mask2], 'x y +')
ending_mask = iterate(ending_mask, core.std.Inflate, 4)
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, ending_mask), [(edstart1, edend2)])
credit = lvf.rfs(credit, ref, [(21594, 21737), (39589, 39599), (41744, 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]
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
src = depth(src, 16)
out = src
opstart, opend = 2712, 4869
ref = hvf.SMDegrain(out, thSAD=300)
denoise = mvf.BM3D(out, [1.5, 1.25], radius1=1, ref=ref)
out = denoise
crop = core.std.Crop(out, left=12)
crop = awf.bbmod(crop, left=2, thresh=20 << 8)
resize = core.resize.Bicubic(crop, 1920)
out = lvf.rfs(out, resize, [(86, 201)])
y = get_y(out)
lineart = gf.EdgeDetect(y, 'scharr').morpho.Dilate(2, 2).std.Inflate()
fkrescale = fake_rescale(y,
882,
0,
1,
deringer=lambda x: gf.MaskedDHA(x,
rx=1.85,
ry=1.85,
darkstr=0.25,
brightstr=1.0,
maskpull=100,
maskpush=200),
antialiser=lambda c: lvf.sraa(
c, 2, 13, downscaler=core.resize.Bicubic))
merged = core.std.MaskedMerge(y, fkrescale, lineart)
out = vdf.merge_chroma(merged, out)
dering = hvf.EdgeCleaner(out, 17, smode=1, hot=True)
out = dering
detail_mask = lvf.mask.detail_mask(out, brz_a=2250, brz_b=1000)
deband = vdf.dumb3kdb(out, 15, threshold=17, grain=(24, 0))
deband = core.std.MaskedMerge(deband, out, detail_mask)
out = deband
grain = adptvgrnMod(out,
0.3,
static=True,
grain_chroma=False,
hi=[128, 240],
seed=333)
out = grain
decz = vdf.decsiz(out, min_in=128 << 8, max_in=200 << 8)
out = decz
ref = depth(src, 16)
src_c, src_ncop = [
depth(x, 16).std.Convolution([1, 2, 1, 2, 4, 2, 1, 2, 1])
for x in [src, JPBD_NCOP.src_cut]
]
opening_mask = vdf.dcm(out, src_c[opstart:opend + 1],
src_ncop[:opend - opstart + 1], opstart, opend, 2,
2)
opening_mask = iterate(opening_mask, core.std.Inflate, 4)
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, opening_mask),
[(opstart, opend)])
credit = lvf.rfs(credit, ref, [(17985, 18128)])
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 = 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, 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 filterchain() -> Union[vs.VideoNode, Tuple[vs.VideoNode, ...]]:
"""Main filterchain"""
import havsfunc as haf
import lvsfunc as lvf
import muvsfunc as muf
import debandshit as dbs
import vardefunc as vdf
from vsutil import depth, get_y, insert_clip, join, plane
src = JP_DVD.clip_cut.std.AssumeFPS(fpsnum=24000, fpsden=1001)
src_ncop, src_nced = JP_BD_NCOP.clip_cut, JP_BD_NCED.clip_cut
src_ncop = src_ncop + src_ncop[-1] * 11
src_nced = src_nced + src_nced[-1]
src_03 = JP_BD_03.clip_cut
src_ncop = flt.rekt(src_ncop)
src_nced = flt.rekt(src_nced)
src_03 = flt.rekt(src_03)
# Fixing an animation error in the NCOP
sqmask_ncop = lvf.mask.BoundingBox((419, 827), (1500, 68))
masked_ncop = core.std.MaskedMerge(src_ncop, src_03, sqmask_ncop.get_mask(src_ncop))
masked_ncop = lvf.rfs(src_ncop, masked_ncop, [(opstart+2064, opstart+2107)])
op_mask = vdf.dcm(
src_03, src_03[opstart:opstart+masked_ncop.num_frames-op_offset], masked_ncop[:-op_offset],
start_frame=opstart, thr=85, prefilter=True) if opstart is not False \
else get_y(core.std.BlankClip(src))
op_mask = depth(core.resize.Bicubic(op_mask, 1296, 728).std.Crop(top=4, bottom=4), 16)
# Stick credits ontop of NC because it looks way better
masked_ncop = src_ncop.resize.Bicubic(chromaloc_in=1, chromaloc=0)
cwarp_ncop = masked_ncop.warp.AWarpSharp2(thresh=88, blur=3, type=1, depth=6, planes=[1, 2])
descale_ncop = lvf.kernels.Bicubic().descale(plane(depth(src_ncop, 16), 0), 1280, 720)
chroma_down_ncop = core.resize.Bicubic(cwarp_ncop, 1280, 720, vs.YUV444P16)
scaled_ncop = join([descale_ncop, plane(chroma_down_ncop, 1), plane(chroma_down_ncop, 2)])
scaled_ncop = scaled_ncop.resize.Bicubic(1296, 728).std.Crop(top=4, bottom=4)
downscale_03 = src_03.resize.Bicubic(1296, 728, vs.YUV444P16).std.Crop(top=4, bottom=4)
merge_credits_03 = core.std.MaskedMerge(scaled_ncop, downscale_03, op_mask)
for prop, val in PROPS_DVD:
src = src.std.SetFrameProp(prop, intval=val)
dvd_i444 = vdf.scale.to_444(depth(src, 32), src.width, src.height, join_planes=True)
dvd_rgb = dvd_i444.resize.Bicubic(format=vs.RGB24, dither_type='error_diffusion', matrix_in=6)
upscale = vsgan.run(dvd_rgb)
conv = core.resize.Bicubic(upscale, format=vs.YUV444P16, matrix=1)
scaled = depth(muf.SSIM_downsample(conv, 1296, 720), 16)
splice_op = lvf.rfs(scaled, merge_credits_03, [(0, 203), (263, 1740), (1836, 2018)])
# Splicing for the ED. Halves of the ED have visuals, others are credits
masked_nced = src_nced.resize.Bicubic(chromaloc_in=1, chromaloc=0)
cwarp_nced = masked_nced.warp.AWarpSharp2(thresh=88, blur=3, type=1, depth=6, planes=[1, 2])
descale_nced = lvf.kernels.Bicubic().descale(plane(depth(src_nced, 16), 0), 1280, 720)
chroma_down_nced = core.resize.Bicubic(cwarp_nced, 1280, 720, vs.YUV444P16)
scaled_nced = join([descale_nced, plane(chroma_down_nced, 1), plane(chroma_down_nced, 2)])
scaled_nced = scaled_nced.resize.Bicubic(1296, 728).std.Crop(top=4, bottom=4)
ed_nc = scaled_nced
ed_dvd = splice_op[31888:]
sq_top = lvf.mask.BoundingBox((0, 0), (ed_nc.width, ed_nc.height/2)).get_mask(ed_nc)
sq_left = lvf.mask.BoundingBox((0, 0), (ed_nc.width/2, ed_nc.height)).get_mask(ed_nc)
sq_right = sq_left.std.Invert()
mask_top = core.std.MaskedMerge(ed_dvd, ed_nc, sq_top)
mask_left = core.std.MaskedMerge(ed_dvd, ed_nc, sq_left)
mask_right = core.std.MaskedMerge(ed_dvd, ed_nc, sq_right)
ed_splice = lvf.rfs(ed_dvd, mask_top, [(0, 1213), (1613, 1673), (1794, None)])
ed_splice = lvf.rfs(ed_splice, mask_left, [(1390, 1503)])
ed_splice = lvf.rfs(ed_splice, mask_right, [(1214, 1389), (1504, 1612), (1674, 1793)])
splice_ed = insert_clip(splice_op, ed_splice, edstart)
# Back to more regular filtering
stab = haf.GSMC(splice_ed, radius=2, planes=[0])
decs = vdf.noise.decsiz(stab, sigmaS=8, min_in=208 << 8, max_in=232 << 8)
detail_mask = flt.detail_mask(decs, brz=(1800, 3500))
deband = dbs.debanders.dumb3kdb(decs, threshold=32, grain=16)
deband_masked = core.std.MaskedMerge(deband, decs, detail_mask)
grain = vdf.noise.Graigasm( # Mostly stolen from Varde tbh
thrs=[x << 8 for x in (32, 80, 128, 176)],
strengths=[(0.25, 0.0), (0.2, 0.0), (0.15, 0.0), (0.0, 0.0)],
sizes=(1.2, 1.15, 1.05, 1),
sharps=(65, 50, 40, 40),
grainers=[
vdf.noise.AddGrain(seed=69420, constant=True),
vdf.noise.AddGrain(seed=69420, constant=False),
vdf.noise.AddGrain(seed=69420, constant=False)
]).graining(deband_masked)
return grain
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)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = depth(src, 16)
h = 882
w = get_w(h)
kernel = 'lanczos'
taps = 5
opstart, opend = 936, 3092
edstart, edend = 31769, 33926
clip_in = depth(src, 32)
dedimm = gf.Tweak(clip_in, sat=1.65, cont=1.65)
dedimm = vdf.fade_filter(clip_in, clip_in, dedimm, 26133, 26183)
out = depth(dedimm, 16)
denoise = CoolDegrain(out, tr=1, thsad=24, blksize=8, overlap=4, plane=4)
out = denoise
luma = get_y(out)
descale = kgf.get_descale_filter(kernel, taps=taps)(depth(luma, 32), w, h)
upscale = vdf.fsrcnnx_upscale(
depth(descale, 16), src.width, src.height,
'_assets/shaders/FSRCNNX_x2_56-16-4-1.glsl',
partial(core.resize.Bicubic, filter_param_a=0, filter_param_b=0))
out = upscale
unwarp = line_darkening(out, 0.275).warp.AWarpSharp2(depth=-2.5)
sharp = hvf.LSFmod(unwarp,
strength=90,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
stabilize = stabilization(out, sharp, 2, 1, 8, 16)
out = vdf.merge_chroma(stabilize, denoise)
antialias = lvf.sraa(out, 1.4, rep=7, downscaler=core.resize.Bicubic)
out = lvf.rfs(antialias, vdf.merge_chroma(upscale, denoise),
[(edstart, edend)])
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)
deband = core.neo_f3kdb.Deband(deband,
preset='depth',
grainy=24,
grainc=18,
keep_tv_range=True)
out = deband
grain = kgf.adaptive_grain(out, 0.2, luma_scaling=14)
out = grain
rescale_mask = vdf.drm(src, h, kernel, taps, mthr=40, sw=4, sh=4)
creditless_mask = core.std.Expr([
vdf.dcm(src, src[opstart:opend + 1],
JPBD_NCOP.src_cut[:opend - opstart + 1], opstart, opend, 2,
2).std.Deflate(),
vdf.dcm(src, src[edstart:edend + 1],
JPBD_NCED.src_cut[:edend - edstart + 1], edstart, edend, 2,
2).std.Deflate()
], 'x y +')
credit = out
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, src, rescale_mask,
0),
[(opstart + 425, opstart + 698),
(33973, src.num_frames - 1)])
credit = lvf.rfs(credit,
core.std.MaskedMerge(credit, src, creditless_mask, 0),
[(opstart, opend), (edstart, edend)])
credit = lvf.rfs(credit, src, [(16911, 16970), (24486, 24533)])
out = credit
return depth(out, 10)
def do_filter():
"""Vapoursynth filtering"""
def _sraa(clip: vs.VideoNode, nnargs: dict, eeargs: dict) -> vs.VideoNode:
def _nnedi3(clip):
return clip.nnedi3.nnedi3(0, False, **nnargs)
def _eedi3(clip, sclip):
return clip.eedi3m.EEDI3(0, False, **eeargs, sclip=sclip)
clip = _eedi3(clip, _nnedi3(clip)).std.Transpose()
clip = _eedi3(clip, _nnedi3(clip)).std.Transpose()
return clip
def _nnedi3(clip: vs.VideoNode, factor: float, args: dict) -> vs.VideoNode:
upscale = clip.std.Transpose().nnedi3.nnedi3(0, True, **args) \
.std.Transpose().nnedi3.nnedi3(0, True, **args)
return core.resize.Spline36(upscale,
clip.width * factor,
clip.height * factor,
src_top=.5,
src_left=.5)
def _line_mask(clip: vs.VideoNode, thr: int) -> vs.VideoNode:
mask = core.std.Prewitt(clip)
mask = core.std.Expr(mask, 'x 2 *').std.Median()
mask = core.std.Expr(mask, f'x {thr} < x x 3 * ?')
return mask.std.Inflate().std.Deflate()
def _ssharp(clip: vs.VideoNode,
strength: float,
width: int,
height: int,
factor: float = 2,
b: float = -1,
c: float = 6) -> vs.VideoNode:
source = clip
sharp = core.resize.Bicubic(clip, clip.width*factor, clip.height*factor, \
filter_param_a=b, filter_param_b=c).resize.Lanczos(width, height)
source = core.resize.Spline64(source, sharp.width, sharp.height)
sharp = core.rgvs.Repair(sharp, source, 13)
sharp = mvf.LimitFilter(source,
sharp,
thrc=0.5,
elast=6,
brighten_thr=0.5,
planes=0)
final = core.std.Expr([sharp, source],
f'x {strength} * y 1 {strength} - * +')
return final
def to_gray(clip: vs.VideoNode, ref: vs.VideoNode) -> vs.VideoNode:
clip = core.std.AssumeFPS(clip, ref)
return core.resize.Point(clip,
format=vs.GRAY16,
matrix_s=mvf.GetMatrix(ref))
def _perform_masks_credit(path: Path) -> List[MaskCredit]:
return [
MaskCredit(lvf.src(str(mask)), int(str(mask.stem).split('_')[2]),
int(str(mask.stem).split('_')[3]))
for mask in path.glob('*')
]
def _w2x(clip: vs.VideoNode) -> vs.VideoNode:
waifu2x = core.w2xc.Waifu2x(mvf.ToRGB(clip, depth=32), noise=2, scale=2) \
.resize.Bicubic(clip.width, clip.height)
return mvf.ToYUV(waifu2x, css='420', depth=16)
def _perform_filtering_ending(clip: vs.VideoNode,
adapt_mask: vs.VideoNode) -> vs.VideoNode:
luma = get_y(clip)
denoise_a = mvf.BM3D(luma, 2.25, 1)
denoise_b = mvf.BM3D(luma, 1.25, 1)
denoise = core.std.MaskedMerge(denoise_a, denoise_b, adapt_mask)
grain = core.grain.Add(denoise, 0.3, constant=True)
return core.std.MaskedMerge(denoise, grain, adapt_mask)
# pylint: disable=unused-argument
def _diff(n: int, f: vs.VideoFrame, new: vs.VideoNode,
adapt: vs.VideoNode) -> vs.VideoNode:
psa = f.props['PlaneStatsAverage']
if psa > 0.5:
clip = new
elif psa < 0.4:
clip = adapt
else:
weight = (psa - 0.4) * 10
clip = core.std.Merge(adapt, new, weight)
return clip
def aa_stonks(clip: vs.VideoNode) -> vs.VideoNode:
mask = core.std.Prewitt(get_y(clip)).std.Binarize(4000)
mask = iterate(mask, core.std.Maximum, 4)
mask = iterate(mask, core.std.Minimum, 2)
mask = iterate(mask, core.std.Deflate, 4)
mask = vdf.region_mask(mask, 400, 400, 0, 0)
descale = core.descale.Debicubic(depth(get_y(clip), 32), 1440, 810)
upscale = core.caffe.Waifu2x(descale, 3, 2, model=6)
downscale = core.descale.Debilinear(upscale, 1920, 1080)
merged = vdf.merge_chroma(depth(downscale, 16), clip)
merged = core.std.MaskedMerge(clip, merged, mask)
return core.warp.AWarpSharp2(merged, 128, 2, depth=16)
opstart, opend = 1272, 3428
edstart, edend = 31769, 33926
src = JPBD.src_cut
src = depth(src, 16)
src = core.std.FreezeFrames(src, opstart + 2132, opend, opstart + 2132)
denoise = mdf.hybriddenoise_mod(src, 0.55, 2.25)
diff = core.std.MakeDiff(src, denoise, [0, 1, 2])
luma = get_y(denoise)
upscale = _nnedi3(luma, 1.5, dict(nsize=0, nns=3, qual=1, pscrn=1))
sraa = _sraa(upscale, dict(nsize=0, nns=3, qual=1, pscrn=1),
dict(alpha=0.2, beta=0.5, gamma=80, nrad=3, mdis=18))
sraa = core.rgvs.Repair(sraa, upscale, 3)
rescale = _ssharp(sraa, 0.55, src.width, src.height, 2)
artefacts_mask = core.std.BlankClip(rescale, color=(256 << 8) - 1)
artefacts_mask = vdf.region_mask(artefacts_mask, 2, 2, 2, 2).std.Inflate()
rescale = core.std.MaskedMerge(luma, rescale, artefacts_mask)
lineart_mask = _line_mask(luma, 8000)
antialias = core.std.MaskedMerge(luma, rescale, lineart_mask)
antialias_merged = vdf.merge_chroma(antialias, denoise)
antialias_strong_a = aa_stonks(denoise)
antialias_strong_b = TAAmbk(denoise, 'Eedi3', cycle=3, mtype=0)
antialias_merged = lvf.rfs(antialias_merged, antialias_strong_a,
[(4782, 4785)])
antialias_merged = lvf.rfs(antialias_merged, antialias_strong_b,
[(11808, 11898)])
src_c, src_ncop = [
c.knlm.KNLMeansCL(a=6, h=20, d=0, device_type='gpu')
for c in [src, JPBD_NCOP.src_cut[:opend - opstart + 1]]
]
credit_mask = vdf.dcm(src, src_c[opstart:opend + 1], src_ncop, opstart,
opend, 2, 2).std.Deflate()
credit = core.std.MaskedMerge(antialias_merged, denoise, credit_mask)
masks_credit_ = _perform_masks_credit(Path('masks_' + JPBD.name[-2:] +
'/'))
for mask in masks_credit_:
credit = lvf.rfs(
credit,
core.std.MaskedMerge(credit, denoise,
to_gray(mask.mask, src).std.Deflate()),
[(mask.start_frame, mask.end_frame)])
deband_mask = lvf.denoise.detail_mask(credit, brz_a=3000, brz_b=1500)
deband_a = dbs.f3kpf(credit, 18, 36, 36)
deband_b = dbs.f3kpf(credit, 18, 42, 42)
deband_c = placebo.Deband(credit,
radius=16,
threshold=4,
iterations=1,
grain=0)
deband_d = placebo.Deband(deband_b,
radius=20,
threshold=5,
iterations=1,
grain=0)
deband = lvf.rfs(deband_a, deband_b, [(opstart, opstart + 146)])
deband = lvf.rfs(deband, deband_c, [(opstart + 1225, opstart + 1238)])
deband = lvf.rfs(deband, deband_d, [(opstart + 970, opstart + 984)])
deband = core.std.MaskedMerge(deband, credit, deband_mask)
grain_original = core.std.MergeDiff(deband, diff, [0, 1, 2])
grain_new = core.neo_f3kdb.Deband(deband,
preset='depth',
grainy=32,
grainc=32)
avg = core.std.PlaneStats(deband)
adapt_mask = core.adg.Mask(get_y(avg), 28)
grain_adapt = core.std.MaskedMerge(grain_new, grain_original, adapt_mask)
grain = core.std.FrameEval(
deband, partial(_diff, new=grain_new, adapt=grain_adapt), avg)
grain = lvf.rfs(grain, grain_new, [(opstart + 147, opstart + 496),
(opstart + 575, opstart + 644),
(opstart + 702, opstart + 969),
(opstart + 1076, opstart + 1117),
(opstart + 1428, opstart + 1461),
(opstart + 1859, opstart + 2035)])
grain = lvf.rfs(grain, grain_original, [(14412, 14728), (31146, 31299)])
w2x = _w2x(denoise).grain.Add(1, 0.5, constant=True)
w2x = lvf.rfs(grain, w2x, [(opstart + 1211, opstart + 1224)])
ending = _perform_filtering_ending(src, adapt_mask)
ending = vdf.merge_chroma(ending, denoise)
final = lvf.rfs(w2x, ending, [(edstart, edend)])
return depth(final, 10)
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
src = src.std.SetFrameProp('_Matrix', intval=1)
# Variables
edstart, edend = 165528, src.num_frames-1
h = 844
w = get_w(h)
edges_a = core.edgefixer.ContinuityFixer(src, *[[1, 0, 0]]*4)
edges_b = core.edgefixer.ContinuityFixer(src, [0, 0, 0], [1, 0, 0], [0, 0, 0], [1, 0, 0])
edges = lvf.rfs(edges_a, edges_b, [(8900, 9001)])
out = depth(edges, 32)
ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=300)
denoise = hybrid_denoise(out, 0.25, 1.05, dict(a=2, d=1), dict(ref=depth(ref, 32)))
out = denoise
y = get_y(out)
lineart = vdf.edge_detect(y, 'FDOG', 0.065, (1, 1)).std.Median().std.BoxBlur(0, 1, 1, 1, 1)
descale_clips = [core.resize.Bicubic(y, w, h, filter_param_a=1/3, filter_param_b=1/3),
core.descale.Debicubic(y, w, h, 0, 1/2),
core.descale.Debicubic(y, w, h, 1/3, 1/3)]
descale = core.std.Expr(descale_clips, 'x y z min max y z max min z min')
descale_bcsharp = core.descale.Debicubic(y, get_w(842), 842, 0, 1)
descale_bcsharp = gf.MaskedDHA(depth(descale_bcsharp, 16), rx=1.4, ry=1.4, darkstr=0.05, brightstr=1.0, maskpull=48, maskpush=140)
upsc_args = dict(shader_file='shaders/FSRCNNX_x2_56-16-4-1.glsl', upscaler_smooth=eedi3_upscale, profile='zastin',
sharpener=partial(gf.DetailSharpen, sstr=1.65, power=4, mode=0, med=True))
upscale = vdf.fsrcnnx_upscale(descale, height=h*2, **upsc_args)
antialias = sraa_eedi3(upscale, 3, alpha=0.2, beta=0.4, gamma=100, mdis=20, nrad=3)
downscale_a = muvf.SSIM_downsample(antialias, src.width, src.height, kernel='Bicubic', filter_param_a=0, filter_param_b=0)
upscale = eedi3_upscale(descale_bcsharp)
antialias = sraa_eedi3(depth(upscale, 32), 3, alpha=0.2, beta=0.4, gamma=100, mdis=20, nrad=3)
downscale_b = muvf.SSIM_downsample(antialias, src.width, src.height, kernel='Bicubic', filter_param_a=0, filter_param_b=0)
downscale = lvf.rfs(downscale_a, downscale_b, [(52931, 53004), (53459, 53696), (54218, 54441),
(55137, 55254), (55420, 55570)])
scaled = core.std.MaskedMerge(y, downscale, lineart)
merged = vdf.merge_chroma(scaled, out)
out = depth(merged, 16)
crop = core.std.Crop(out, left=4, right=2)
fb = core.fb.FillBorders(crop, 1, 1, 0, 0, mode="fillmargins")
resize = core.resize.Bicubic(fb, 1920)
out = lvf.rfs(out, resize, [(8900, 9001)])
detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
deband = dumb3kdb(out, 16, 42)
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, 0.1, 0.05, 1.05, sharp=80, static=True)
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)
src_c, src_nced = [c.std.BoxBlur(0, 1, 1, 1, 1) for c in [src, JPBD_NCED.src_cut]]
creditless_mask = vdf.dcm(ref, src_c[edstart:edend+1], src_nced[:edend-edstart+1], edstart, edend, 3, 3).std.Deflate()
rescale_mask = vdf.drm(ref, h, b=1/3, c=1/3, mthr=30)
rescale_mask = vdf.region_mask(rescale_mask, 20, 20, 20, 20).std.Binarize(6000).std.Maximum().std.Maximum().std.Inflate()
credit = out
credit = lvf.rfs(credit, ref, [(0, 672)])
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, creditless_mask, 0), [(edstart, edend)])
credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask[5602], 0), [(5561, 5752)])
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
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 filterchain() -> Union[vs.VideoNode, Tuple[vs.VideoNode, ...]]:
"""Regular VapourSynth filterchain"""
import lvsfunc as lvf
import vardefunc as vdf
from vsutil import depth, get_y
src, *_ = trim()
src_CR = JP_CR.clip_cut
src_NCOP, src_NCED = YT_NCOP.clip, YT_NCED.clip
b = core.std.BlankClip(src, length=1)
# OP/ED stack comps to check that it lines up
op_scomp = lvf.scomp(src[opstart:opstart + src_NCOP.num_frames - 1] + b,
src_NCOP[:-op_offset] + b) # noqa
ed_scomp = lvf.scomp(src[edstart:edstart + src_NCED.num_frames - 1] + b,
src_NCED[:-ed_offset] + b) # noqa
# Blurring clips
blur_src = core.bilateral.Gaussian(src, sigma=2.5)
blur_NCOP = core.bilateral.Gaussian(src_NCOP, sigma=2.5)
blur_NCED = core.bilateral.Gaussian(src_NCED, sigma=2.5)
# Masking credits
op_mask = vdf.dcm(
blur_src, blur_src[opstart:opstart+src_NCOP.num_frames-op_offset], blur_NCOP[:-op_offset],
start_frame=opstart, thr=28, prefilter=False) if opstart is not False \
else get_y(core.std.BlankClip(src))
ed_mask = vdf.dcm(
blur_src, blur_src[edstart:edstart+src_NCED.num_frames-ed_offset], blur_NCED[:-ed_offset],
start_frame=edstart, thr=25, prefilter=False) if edstart is not False \
else get_y(core.std.BlankClip(src))
credit_mask = core.std.Expr([op_mask, ed_mask], expr='x y +')
credit_mask = depth(credit_mask, 16).std.Binarize()
# This time, AoD has better lines but worse gradients (over-debanded + super grained),
# but only on certain dark and texture-heavy (but low-motion) scenes, but ugh effort
src = depth(src, 16)
line_mask = vdf.mask.FDOG().get_mask(get_y(src))
src_merge = core.std.MaskedMerge(depth(src_CR, 16), src, line_mask)
src_merge = lvf.rfs(src, src_merge, [(2637, 2722), (10933, 10978),
(11388, 11479), (13058, 13406),
(13539, 14029), (14052, 14300),
(14422, 14560)])
src_merge = depth(src_merge, 16)
src_y = get_y(src_merge)
denoise_y = flt.bm3d_ref(src_y,
bm3d_sigma=1,
dec_sigma=8,
dec_min=192 << 8)
denoise_y = core.std.MaskedMerge(denoise_y, src_y, line_mask)
merged = vdf.misc.merge_chroma(denoise_y, src)
dehalo = flt.bidehalo(merged, sigma=1, mask_args={'brz': 0.25})
cmerged = core.std.MaskedMerge(dehalo, src, credit_mask)
deband = flt.masked_f3kdb(cmerged,
thr=20,
grain=12,
mask_args={'brz': (1500, 3500)})
grain = flt.default_grain(deband)
return grain # type: ignore
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
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"""
def _sraa(clip: vs.VideoNode, nnargs: dict, eeargs: dict) -> vs.VideoNode:
def _nnedi3(clip):
return clip.nnedi3.nnedi3(0, False, **nnargs)
def _eedi3(clip, sclip):
return clip.eedi3m.EEDI3(0, False, **eeargs, sclip=sclip)
clip = _eedi3(clip, _nnedi3(clip)).std.Transpose()
clip = _eedi3(clip, _nnedi3(clip)).std.Transpose()
return clip
def _nnedi3(clip: vs.VideoNode, factor: float, args: dict) -> vs.VideoNode:
upscale = clip.std.Transpose().nnedi3.nnedi3(0, True, **args) \
.std.Transpose().nnedi3.nnedi3(0, True, **args)
return core.resize.Spline36(upscale,
clip.width * factor,
clip.height * factor,
src_top=.5,
src_left=.5)
def _line_mask(clip: vs.VideoNode, thr: int) -> vs.VideoNode:
mask = core.std.Prewitt(clip)
mask = core.std.Expr(mask, 'x 2 *').std.Median()
mask = core.std.Expr(mask, f'x {thr} < x x 3 * ?')
return mask.std.Inflate().std.Deflate()
def _ssharp(clip: vs.VideoNode,
strength: float,
width: int,
height: int,
factor: float = 2,
b: float = -1,
c: float = 6) -> vs.VideoNode:
source = clip
sharp = core.resize.Bicubic(clip, clip.width*factor, clip.height*factor, \
filter_param_a=b, filter_param_b=c).resize.Lanczos(width, height)
source = core.resize.Spline64(source, sharp.width, sharp.height)
sharp = core.rgvs.Repair(sharp, source, 13)
sharp = mvf.LimitFilter(source,
sharp,
thrc=0.5,
elast=6,
brighten_thr=0.5,
planes=0)
final = core.std.Expr([sharp, source],
f'x {strength} * y 1 {strength} - * +')
return final
def to_gray(clip: vs.VideoNode, ref: vs.VideoNode) -> vs.VideoNode:
clip = core.std.AssumeFPS(clip, ref)
return core.resize.Point(clip,
format=vs.GRAY16,
matrix_s=mvf.GetMatrix(ref))
def _perform_masks_credit(path: Path) -> List[MaskCredit]:
return [
MaskCredit(lvf.src(str(mask)), int(str(mask.stem).split('_')[2]),
int(str(mask.stem).split('_')[3]))
for mask in path.glob('*')
]
# pylint: disable=unused-argument
def _diff(n: int, f: vs.VideoFrame, new: vs.VideoNode,
adapt: vs.VideoNode) -> vs.VideoNode:
psa = f.props['PlaneStatsAverage']
if psa > 0.5:
clip = new
elif psa < 0.4:
clip = adapt
else:
weight = (psa - 0.4) * 10
clip = core.std.Merge(adapt, new, weight)
return clip
def _ret_mask(clip: vs.VideoNode, thr: int) -> vs.VideoNode:
mask = kgf.retinex_edgemask(clip)
mask = core.std.Median(mask).std.Binarize(thr)
mask = iterate(mask, core.std.Median, 2)
mask = iterate(mask, core.std.Maximum, 3)
mask = iterate(mask, core.std.Minimum, 2)
return mask
opstart, opend = 1774, 3944
edstart, edend = 31781, 33938
src = JPBD.src_cut
src = depth(src, 16)
denoise_a = mdf.hybriddenoise_mod(src, 0.55, 2.25)
denoise_b = mdf.hybriddenoise_mod(src, 0.55, 10)
denoise = lvf.rfs(denoise_a, denoise_b, [(opstart, opstart + 44)])
diff = core.std.MakeDiff(src, denoise, [0, 1, 2])
luma = get_y(denoise)
upscale = _nnedi3(luma, 1.5, dict(nsize=0, nns=3, qual=1, pscrn=1))
sraa = _sraa(upscale, dict(nsize=0, nns=3, qual=1, pscrn=1),
dict(alpha=0.2, beta=0.5, gamma=80, nrad=3, mdis=18))
sraa = core.rgvs.Repair(sraa, upscale, 3)
rescale = _ssharp(sraa, 0.55, src.width, src.height, 2)
artefacts_mask = core.std.BlankClip(rescale, color=(256 << 8) - 1)
artefacts_mask = vdf.region_mask(artefacts_mask, 2, 2, 2, 2).std.Inflate()
rescale = core.std.MaskedMerge(luma, rescale, artefacts_mask)
lineart_mask = _line_mask(luma, 8000)
antialias = core.std.MaskedMerge(luma, rescale, lineart_mask)
antialias_merged = vdf.merge_chroma(antialias, denoise)
src_c, src_ncop = [
c.knlm.KNLMeansCL(a=6, h=20, d=0, device_type='gpu')
for c in [src, JPBD_NCOP.src_cut[:opend - opstart + 1]]
]
credit_mask = vdf.dcm(src, src_c[opstart:opend + 1], src_ncop, opstart,
opend, 2, 2).std.Deflate()
credit = core.std.MaskedMerge(antialias_merged, denoise, credit_mask)
masks_credit_ = _perform_masks_credit(Path('masks_' + JPBD.name[-2:] +
'/'))
for mask in masks_credit_:
credit = lvf.rfs(
credit,
core.std.MaskedMerge(credit, denoise,
to_gray(mask.mask, src).std.Deflate()),
[(mask.start_frame, mask.end_frame)])
deband_mask = lvf.denoise.detail_mask(credit, brz_a=3000, brz_b=1500)
dark_mask = core.std.Expr([deband_mask, _ret_mask(credit, 12500)], 'x y +')
deband_a = dbs.f3kpf(credit, 18, 36, 36)
deband_b = dbs.f3kpf(credit, 18, 42, 42)
deband_c = placebo.Deband(credit,
radius=12,
threshold=20,
iterations=3,
grain=0)
deband_d = placebo.Deband(credit,
radius=10,
threshold=8,
iterations=2,
grain=0)
deband = lvf.rfs(deband_a, deband_b, [(opstart + 483, opstart + 554)])
deband = lvf.rfs(deband, deband_c, [(opstart, opstart + 44)])
deband = lvf.rfs(deband, core.std.MaskedMerge(deband_d, credit, dark_mask),
[(opstart + 1070, opstart + 1103)])
deband = lvf.rfs(deband, deband_d, [(opstart + 1104, opstart + 1124)])
deband = core.std.MaskedMerge(deband, credit, deband_mask)
grain_original = core.std.MergeDiff(deband, diff, [0, 1, 2])
grain_original_nochroma = core.std.MergeDiff(deband, diff, [0])
grain_new = core.neo_f3kdb.Deband(deband,
preset='depth',
grainy=32,
grainc=32)
grain_new_nochroma = vdf.merge_chroma(grain_new, deband)
avg = core.std.PlaneStats(deband)
adapt_mask = core.adg.Mask(get_y(avg), 28)
grain_adapt = core.std.MaskedMerge(grain_new, grain_original, adapt_mask)
gf3_args = dict(g1str=5,
g2str=3.85,
g3str=3.5,
g1shrp=50,
g2shrp=60,
g3shrp=60,
g1size=1.65,
g2size=1.60,
g3size=1.25)
grain_a = hvf.GrainFactory3(deband, **gf3_args)
grain_b = mdf.adptvgrnMod_mod(deband,
2,
size=1.5,
sharp=60,
static=False,
luma_scaling=14)
grain = core.std.FrameEval(
deband, partial(_diff, new=grain_new, adapt=grain_adapt), avg)
grain = lvf.rfs(grain, grain_original, [(5058, 5253), (7871, 7989)])
grain = lvf.rfs(grain, grain_new_nochroma,
[(opstart + 117, opstart + 873),
(opstart + 921, opstart + 993)])
grain = lvf.rfs(grain, grain_original_nochroma,
[(opstart + 874, opstart + 920),
(opstart + 994, opstart + 1069),
(opstart + 1125, opstart + 1202)])
grain = lvf.rfs(grain, grain_a, [(opstart, opstart + 44)])
grain = lvf.rfs(grain, grain_b, [(opstart + 1070, opstart + 1124)])
stabilize = hvf.GSMC(src, radius=2, planes=0)
ending = vdf.merge_chroma(stabilize, denoise)
final = lvf.rfs(grain, ending, [(edstart, edend)])
final = final[:opstart] + final[opstart + 2:opstart + 2160] + final[opend +
1:]
return depth(final, 10), opstart, opend
def do_filter():
"""Vapoursynth filtering"""
src = JPBD.src_cut
h = 720
w = get_w(h)
edgesfix = awf.bbmod(src, 1, 1, 1, 1, 48, 500)
out = edgesfix
clip = depth(out, 32)
denoise = hybrid_denoise(clip, 0.45, 1.5)
out = denoise
luma = get_y(out)
line_mask = line_mask_func(luma)
descale = core.descale.Debilinear(luma, w, h)
upscale = vdf.nnedi3_upscale(descale, pscrn=1)
antialias = single_rate_antialiasing(upscale,
13,
alpha=0.4,
beta=0.3,
gamma=400,
mdis=15).resize.Bilinear(
src.width, src.height)
rescale = core.std.MaskedMerge(luma, antialias, depth(line_mask, 32))
merged = vdf.merge_chroma(rescale, out)
out = depth(merged, 16)
preden = core.knlm.KNLMeansCL(get_y(out),
h=0.75,
a=2,
d=3,
device_type='gpu',
device_id=0)
detail_dark_mask = detail_dark_mask_func(preden, brz_a=8000, brz_b=6000)
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.Convolution([1, 1, 1, 1, 1, 1, 1, 1, 1])
detail_mask = core.std.Expr([preden, detail_mask_grow, detail_mask],
f'x {32<<8} < y z ?')
custom_mask_a = lvf.src('rezeros2_07_25374-25642.png', detail_mask)
custom_mask_a = core.std.Expr([custom_mask_a, detail_mask], 'x y +')
deband_a = dbs.f3kpf(out, 17, 36, 42, thr=0.5, elast=2, thrc=0.2)
deband_b = placebo.deband(out, 18, 5.5, 2, 0)
deband_d = core.neo_f3kdb.Deband(out, 20, 30, 30, 30, 0, 0, 4)
deband_e = placebo.deband(out, 18, 8, 2, 0)
deband = core.std.MaskedMerge(deband_a, deband_b, preden)
deband = lvf.rfs(deband, deband_d, [(1457, 1677), (8414, 8684),
(8788, 8915), (9348, 10179),
(11325, 11459), (12647, 12857),
(13025, 13574), (13874, 13987),
(20809, 21076), (23936, 25063),
(25219, 25373), (26231, 26530),
(26668, 26800), (26818, 27048),
(27174, 27454), (27503, 27943),
(28492, 28622), (29948, 30563),
(30965, 31498), (31624, 32005),
(32107, 32325), (32451, 35407),
(37171, 37955)])
deband = lvf.rfs(deband, deband_e, [(22116, 22173), (22454, 22459),
(38028, 38035)])
deband = core.std.MaskedMerge(deband, out, detail_mask)
deband = lvf.rfs(deband,
core.std.MaskedMerge(deband_e, deband, custom_mask_a),
[(25374, 25642), (25708, 25889)])
deband = core.neo_f3kdb.Deband(deband,
preset='depth',
grainy=24,
grainc=24)
out = deband
ref, src, src_nced = [
depth(x, 16) for x in [denoise, src, JPBD_NCED.src_cut[221:]]
]
credit_mask = vdf.drm(ref, kernel='bilinear', mthr=65)
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, credit_mask, 0),
[(113, 3315), (37171, src.num_frames - 1)])
credit = lvf.rfs(credit, ref, [(3316, 3435), (35408, 35485)])
out = credit
src_c, src_nced = [
c.knlm.KNLMeansCL(a=7, h=35, d=0, device_type='gpu')
for c in [src, src_nced]
]
ending_mask = vdf.dcm(out, src_c[EDSTART:EDEND + 1],
src_nced[:EDEND - EDSTART + 1], EDSTART, EDEND, 4,
4).std.Inflate()
credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, ending_mask),
[(EDSTART, EDEND)])
out = credit
grain = adptvgrnMod(out,
0.3,
0.15,
1.25,
luma_scaling=8,
sharp=80,
static=False,
lo=19)
out = grain
return depth(out, 10)
def filterchain() -> Union[vs.VideoNode, Tuple[vs.VideoNode, ...]]:
"""Main filterchain"""
import havsfunc as haf
import lvsfunc as lvf
import rekt
import vardefunc as vdf
from adptvgrnMod import adptvgrnMod
from awsmfunc import bbmod
from ccd import ccd
from vsutil import depth, get_y
from xvs import WarpFixChromaBlend
src = JP_BD.clip_cut
src_NCOP, src_NCED = JP_BD_NCOP.clip_cut, JP_BD_NCED.clip_cut
src_NCOP = src_NCOP + src_NCOP[-1] * 11
src_NCED = src_NCED + src_NCED[-1]
src_03 = JP_BD_03.clip_cut
# b = core.std.BlankClip(src, length=1)
# Fixing an animation error in the NCOP
sqmask_NCOP = lvf.mask.BoundingBox((419, 827), (1500, 68))
masked_NCOP = core.std.MaskedMerge(src_NCOP, src_03,
sqmask_NCOP.get_mask(src_NCOP))
masked_NCOP = lvf.rfs(src_NCOP, masked_NCOP,
[(opstart + 2064, opstart + 2107)])
# OP/ED stack comps to check that it lines up
# op_scomp = lvf.scomp(src[opstart:opstart+src_NCOP.num_frames-1]+b, masked_NCOP[:-op_offset]+b) # noqa
# ed_scomp = lvf.scomp(src[edstart:edstart+src_NCED.num_frames-1]+b, src_NCED[:-ed_offset]+b) # noqa
# Masking credits
op_mask = vdf.dcm(
src, src[opstart:opstart+src_NCOP.num_frames-op_offset], masked_NCOP[:-op_offset],
start_frame=opstart, thr=25, prefilter=True) if opstart is not False \
else get_y(core.std.BlankClip(src))
ed_mask = vdf.dcm(
src, src[edstart:edstart+src_NCED.num_frames-ed_offset], src_NCED[:-ed_offset],
start_frame=edstart, thr=25, prefilter=False) if edstart is not False \
else get_y(core.std.BlankClip(src))
credit_mask = core.std.Expr([op_mask, ed_mask], expr='x y +')
credit_mask = depth(credit_mask, 16).std.Binarize()
# Edgefixing
ef = bbmod(src, left=1, right=1, top=1, bottom=1, u=False, v=False)
ef = bbmod(ef, left=2, right=2, top=2, bottom=2, y=False)
ef = depth(ef, 32)
# Descaling + Rescaling
src_y = get_y(ef)
descaled = lvf.kernels.Lanczos(taps=5).descale(src_y, 1280, 720)
rescaled = vdf.scale.nnedi3_upscale(descaled)
downscaled = lvf.kernels.BicubicDidee().scale(rescaled, 1920, 1080)
l_mask = vdf.mask.FDOG().get_mask(src_y, lthr=0.065,
hthr=0.065).std.Maximum().std.Minimum()
l_mask = l_mask.std.Median().std.Convolution([1] * 9)
rescaled_masked = core.std.MaskedMerge(src_y, downscaled, l_mask)
scaled = depth(vdf.misc.merge_chroma(rescaled_masked, ef), 16)
unwarp = flt.line_darkening(scaled, 0.145).warp.AWarpSharp2(depth=2)
sharp = haf.LSFmod(unwarp,
strength=65,
Smode=3,
Lmode=1,
edgemode=1,
edgemaskHQ=True)
mask_sharp = core.std.MaskedMerge(scaled, sharp, depth(l_mask, 16))
upscaled = lvf.kernels.Bicubic().scale(descaled, 1920, 1080)
descale_mask = lvf.scale.descale_detail_mask(src_y, upscaled)
scale_restore_mask = core.std.Expr([credit_mask, descale_mask], "x y +")
credits_merged = core.std.MaskedMerge(mask_sharp, depth(ef, 16),
scale_restore_mask)
# Denoising
denoise_y = core.knlm.KNLMeansCL(credits_merged,
d=1,
a=3,
s=4,
h=0.15,
channels='Y')
denoise_uv = ccd(denoise_y, threshold=6, matrix='709')
stab = haf.GSMC(denoise_uv, radius=2, planes=[0])
decs = vdf.noise.decsiz(stab, sigmaS=8, min_in=208 << 8, max_in=232 << 8)
# Fixing chroma
cshift = core.resize.Bicubic(decs, chromaloc_in=1, chromaloc=0)
cwarp = WarpFixChromaBlend(cshift, thresh=88, blur=3, depth=6)
# Regular debanding + graining
detail_mask = flt.detail_mask(cwarp, brz=(1800, 3500))
deband = vdf.deband.dumb3kdb(cwarp, threshold=32, grain=16)
deband_masked = core.std.MaskedMerge(deband, cwarp, detail_mask)
grain: vs.VideoNode = adptvgrnMod(deband_masked,
0.2,
luma_scaling=10,
size=1.35,
static=True,
grain_chroma=False)
return grain
def main() -> Union[vs.VideoNode, Tuple[vs.VideoNode, ...]]:
"""Vapoursynth filtering"""
# Don't worry, this script is barely readable anymore even for me
import rekt
from awsmfunc import bbmod
from havsfunc import ContraSharpening
from lvsfunc.aa import upscaled_sraa
from lvsfunc.comparison import stack_compare
from lvsfunc.mask import BoundingBox
from lvsfunc.util import replace_ranges
from vardefunc import dcm
from vardefunc.deband import dumb3kdb
from vardefunc.mask import FreyChen
from vsutil import depth, get_y, insert_clip
src = JP_BD.clip_cut
b = core.std.BlankClip(src, length=1)
if opstart is not False:
src_NCOP = NCOP.clip_cut
op_scomp = stack_compare(
src[opstart:opstart + src_NCOP.num_frames - 1] + b,
src_NCOP[:-op_offset] + b,
make_diff=True) # noqa
if edstart is not False:
src_NCED = NCED.clip_cut
#ed_scomp = stack_compare(src[edstart:edstart+src_NCED.num_frames-1]+b, src_NCED[:-ed_offset]+b, make_diff=True) # noqa
# Masking credits
op_mask = dcm(
src, src[opstart:opstart+src_NCOP.num_frames], src_NCOP,
start_frame=opstart, thr=25, prefilter=True) if opstart is not False \
else get_y(core.std.BlankClip(src))
ed_mask = dcm(
src, src[edstart:edstart+src_NCED.num_frames], src_NCED,
start_frame=edstart, thr=25, prefilter=True) if edstart is not False \
else get_y(core.std.BlankClip(src))
credit_mask = core.std.Expr([op_mask, ed_mask], expr='x y +')
credit_mask = depth(credit_mask, 16).std.Binarize()
# Fixing an animation f**k-up
for f in op_replace:
src = insert_clip(src, src[f], f - 1)
# Edgefixing
ef = rekt.rektlvls(
src,
prot_val=[16, 235],
min=16,
max=235,
rownum=[0, src.height - 1],
rowval=[16, 16],
colnum=[0, src.width - 1],
colval=[16, 16],
)
bb_y = bbmod(ef,
left=1,
top=1,
right=1,
bottom=1,
thresh=32,
y=True,
u=False,
v=False)
bb_uv = bbmod(bb_y,
left=2,
top=2,
right=2,
bottom=2,
y=False,
u=True,
v=True)
bb32 = depth(bb_uv, 32)
# --- Very specific filtering that should probably be removed for future episodes entirely
# Fading for some... well, fades.
fade = flt.fader(bb32, start_frame=4437, end_frame=4452)
fade = flt.fader(fade, start_frame=18660, end_frame=18697)
# Different sport names
rkt_aa_ranges: Union[Union[int, None, Tuple[Optional[int], Optional[int]]],
List[Union[int, None,
Tuple[Optional[int],
Optional[int]]]], None] = [ # noqa
(8824, 8907), (9828, 9911),
(10995, 11078), (11904, 12010)
]
rkt_aa = rekt.rekt_fast(fade,
fun=lambda x: upscaled_sraa(x),
top=854,
left=422,
bottom=60,
right=422)
rkt_aa = replace_ranges(fade, rkt_aa, rkt_aa_ranges)
# QP GET!
rkt_aa2_ranges: Union[Union[int, None, Tuple[Optional[int],
Optional[int]]],
List[Union[int, None,
Tuple[Optional[int],
Optional[int]]]], None] = [ # noqa
(26333, 26333), (28291, 28344),
(30271, 30364)
]
rkt_aa2 = rekt.rekt_fast(rkt_aa,
fun=lambda x: upscaled_sraa(x),
top=714,
left=354,
bottom=224,
right=354)
rkt_aa2 = replace_ranges(fade, rkt_aa, rkt_aa2_ranges)
# Table stuff
rkt_aa3_ranges: Union[Union[int, None, Tuple[Optional[int],
Optional[int]]],
List[Union[int, None,
Tuple[Optional[int],
Optional[int]]]], None] = [ # noqa
(32797, 32952)
]
rkt_aa3 = rekt.rekt_fast(rkt_aa2,
fun=lambda x: upscaled_sraa(x),
top=488,
left=312,
bottom=390,
right=850)
rkt_aa3 = replace_ranges(fade, rkt_aa2, rkt_aa3_ranges)
rkt_aa = rkt_aa3
# Clipping error Nyatalante/Achilles
fixed_frame = source(
JP_BD.workdir.to_str() + r"/assets/01/FGCBD_01_8970_fixed.png", rkt_aa)
fix_error = replace_ranges(rkt_aa, fixed_frame, [(8968, 8970)])
sp_out32 = fix_error
sp_out16 = depth(sp_out32, 16)
# Rescaling
l_mask = FreyChen().get_mask(get_y(sp_out16)).morpho.Close(size=6)
l_mask = core.std.Binarize(l_mask, 24 << 8).std.Maximum().std.Maximum()
scaled, credit_mask = flt.rescaler(sp_out32,
height=720,
shader_file=shader)
scaled = core.std.MaskedMerge(sp_out16, scaled, l_mask)
scaled = core.std.MaskedMerge(scaled, sp_out16, credit_mask)
# Denoising
denoise = flt.multi_denoise(scaled, l_mask)
# Anti-aliasing
aa_clamped = flt.clamp_aa(denoise, strength=3.0)
aa_rfs = replace_ranges(denoise, aa_clamped, aa_ranges)
# Fix edges because they get f****d during the denoising and AA stages
box = BoundingBox((1, 1), (src.width - 2, src.height - 2))
fix_edges = core.std.MaskedMerge(scaled, aa_rfs, box.get_mask(scaled))
# Regular debanding, but then...
deband = flt.multi_debander(fix_edges, sp_out16)
# --- More very specific filtering that should almost definitely be removed for other episodes
boxes = [
BoundingBox((0, 880), (1920, 200)),
BoundingBox((1367, 0), (552, 1080)),
BoundingBox((1143, 0), (466, 83)),
BoundingBox((1233, 84), (237, 84)),
]
boxed_deband = flt.placebo_debander(fix_edges,
iterations=2,
threshold=8,
radius=14,
grain=4)
boxed_mask = core.std.BlankClip(
boxed_deband.std.ShufflePlanes(planes=0, colorfamily=vs.GRAY))
for bx in boxes: # Gonna be awfully slow but OH WELLLLLL
boxed_mask = core.std.Expr(
[boxed_mask, bx.get_mask(boxed_mask)], "x y max")
boxed_deband_merged = core.std.MaskedMerge(deband, boxed_deband,
boxed_mask)
boxed_deband_merged = replace_ranges(deband, boxed_deband_merged,
[(20554, 20625)])
stronger_deband = dumb3kdb(fix_edges, radius=18, threshold=[48, 32])
stronger_deband = replace_ranges(boxed_deband_merged, stronger_deband,
[(22547, 22912), (28615, 28846),
(33499, 33708), (37223, 37572),
(37636, 37791), (38047, 38102),
(38411, 38733)])
deband_csharp = ContraSharpening(stronger_deband, scaled, 17)
sp_out = deband_csharp
# Back to regular graining
grain = flt.grain(sp_out)
return grain
