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
gambo = gambo2[:121] + gambo[118:] gambo = gambo[:4506] gambo = fvf.GradFun3(gambo, thr=0.35, radius=12, elast=8.0, mode=3, ampo=1, ampn=0, pat=32, dyn=False, staticnoise=False, thr_det=2 + round(max(1 - 0.35, 0) / 0.3), debug=False, thrc=1, radiusc=12, planes=list(range(gambo.format.num_planes)), ref=gambo, bits=gambo.format.bits_per_sample) gambo = core.asharp.ASharp(gambo) gambo = haf.FineDehalo(gambo) gambo = taa.TAAmbk(gambo, "Nnedi3SangNom") gambo = gambo.resize.Bicubic(height=844, width=int(gambo.width / gambo.height * 844 + 0.5)) gambo.set_output()
thresh=30).std.Merge(edgefix, weight=[0.6, 0.4]) epfix = rektlvls(epfix, colnum=[638], colval=[8], prot_val=[70, 191]) epfix = epfix.resize.Bicubic(format=RGBS, matrix_in_s="170m", range_in_s="limited") dpir = lvf.deblock.autodb_dpir(epfix, strs=[45, 55, 75], thrs=[(0.0, 0.0, 0.0), (1.0, 1.2, 1.5), (3.0, 3.8, 4.5)], cuda=False).resize.Bicubic( format=YUV444P16, matrix_s="170m", dither_type="error_diffusion") dpir = haf.FineDehalo(dpir, rx=2, ry=2, brightstr=1.8, darkstr=0.2) dpir = core.std.Merge(haf.FineDehalo(dpir, rx=1.8, ry=1.8, brightstr=1.8, darkstr=0), dpir, weight=[0.4, 0.6]) aa = core.std.Expr([lvf.aa.upscaled_sraa(dpir, rfactor=1.8), dpir], "x y min") aa = core.std.Merge(lvf.aa.upscaled_sraa(aa, rfactor=2.2), aa, weight=[0.9, 0.1]) dpir = debandshit.dumb3kdb(aa.resize.Bicubic(format=YUV420P10, matrix_s="170m",
import fvsfunc as fvf import kagefunc as kgf import lvsfunc #from acsuite import eztrim ep1 = core.ffms2.Source("Sukeban.Deka.S01.480p.AMZN.WEB-DL.DDP2.0.H.264-ARiN/Sukeban.Deka.S01E01.480p.AMZN.WEB-DL.DDP2.0.H.264-ARiN.mkv") #eztrim(ep1, [(24,36876)], 'Sukeban.Deka.S01E01.480p.AMZN.WEB-DL.DDP2.0.H.264-ARiN.track_2.ac3') ep1 = ep1[24:36876] ep1 = havsfunc.Deblock_QED(ep1) ep1 = awf.bbmod(ep1, left=3, thresh=5, blur=4) ep1 = core.fb.FillBorders(ep1, right=2) ep1 = rektlvls(ep1, colnum=[2,638], colval=[-20,-17]) ep1 = awf.bbmod(ep1, right=4, thresh=40, blur=40) ep1 = core.resize.Bicubic(ep1, src_left=-1) ep1 = rektlvls(ep1, colnum=[0,4,5], colval=[-40,-30,-10]) ep1 = rektlvls(ep1, colnum=[0,1,3,4,5], colval=[20,-10,20,30,10]) ep1 = awf.bbmod(ep1, right=6, thresh=10, blur=10) ep1 = awf.bbmod(ep1, left=7, thresh=10, blur=90) ep1 = lvsfunc.misc.fix_cr_tint(ep1) ep1 = fvf.GradFun3(ep1, thr=0.35, radius=12, elast=8.0, mode=3, ampo=1, ampn=0, pat=32, dyn=False, staticnoise=False, thr_det=2 + round(max(1 - 0.35, 0) / 0.3), debug=False, thrc=1, radiusc=12, planes=list(range(ep1.format.num_planes)), ref=ep1, bits=ep1.format.bits_per_sample) ep1 = kgf.adaptive_grain(ep1, strength=.25, static=True, luma_scaling=12, show_mask=False) ep1 = havsfunc.FineDehalo(ep1) ep1.set_output(0)
import havsfunc as haf import vsTAAmbk as taa import awsmfunc as awf import fvsfunc as fvf import kagefunc as kgf a = core.ffms2.Source("azuki-chan episode 1.mkv") a = a.vinverse.Vinverse() a = a.std.Crop(left=4, right=8, top=2) a = a.fb.FillBorders(right=1) a = a.fb.FillBorders(left=1, mode="fixborders") a = awf.bbmod(a, top=4, thresh=60, blur=10) a = awf.bbmod(a, left=4, thresh=3, blur=500) a = awf.bbmod(a, right=1, thresh=90, blur=40) a = awf.bbmod(a, right=6, thresh=2, blur=100) a = haf.FineDehalo(a) a = taa.TAAmbk(a, "Nnedi3") a = fvf.GradFun3(a, thr=0.35, radius=12, elast=8.0, mode=3, ampo=1, ampn=0, pat=32, dyn=False, staticnoise=False, thr_det=2 + round(max(1 - 0.35, 0) / 0.3), debug=False, thrc=1, radiusc=12,
opfix = rektlvls(opfix, colnum=[638], colval=[8], prot_val=[60, 190]) # 692 957 805 opfix = opfix.resize.Bicubic(format=RGBS, matrix_in_s="170m", range_in_s="limited") dpir = lvf.deblock.autodb_dpir(opfix, strs=[55, 65, 115], thrs=[(0.0, 0.0, 0.0), (1.0, 1.2, 1.5), (3.0, 3.8, 4.5)], cuda=False).resize.Bicubic( format=YUV444P16, matrix_s="170m", dither_type="error_diffusion") dpir = haf.FineDehalo(dpir, rx=2, ry=2, brightstr=1.8, darkstr=0.2) #dpir = core.std.Merge(haf.FineDehalo(dpir, rx=1.8, ry=1.8, brightstr=1.8, darkstr=0), dpir, weight=[0.4, 0.6]) # > opfix = core.std.Expr([ opfix.resize.Bicubic( format=YUV444P16, matrix_s="170m", dither_type="error_diffusion"), dpir ], "x y min") opfix = lvf.deblock.vsdpir(opfix, strength=10, matrix=opfix.get_frame(0).props["_Matrix"], cuda=False) mask = rvf.masking.fineline_mask( G41Fun.Hysteria(opfix, lthr=180, hthr=1, lcap=255), thresh=30).std.Maximum().std.BoxBlur().resize.Spline36(format=GRAY16)