Exemple #1
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src = depth(src, 16)

    h = 882
    w = get_w(h)
    kernel = 'lanczos'
    taps = 5

    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 = antialias

    deband_mask = lvf.denoise.detail_mask(out, brz_a=2000, brz_b=1000)
    deband = dbs.f3kpf(out, 17, 42, 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)
    credit = out
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, src, rescale_mask,
                                                  0), [(0, 647),
                                                       (29954, 34046)])
    credit = lvf.rfs(credit, src, [(0, 1)])
    out = credit

    return depth(out, 10)
Exemple #2
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def do_filter():
    """Vapoursynth filtering"""
    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)
        sraa = _sraa(upscale, dict(nsize=3, nns=3, qual=1, pscrn=1))
        return core.resize.Bicubic(sraa, clip.width*factor, clip.height*factor,
                                   src_top=.5, src_left=.5, filter_param_a=0, filter_param_b=0.25)

    # My GPU’s dying on it
    def _sraa(clip: vs.VideoNode, nnargs: dict)-> vs.VideoNode:
        clip = clip.nnedi3cl.NNEDI3CL(0, False, **nnargs).std.Transpose()
        clip = clip.nnedi3cl.NNEDI3CL(0, False, **nnargs).std.Transpose()
        return clip

    # Fun part / Cutting
    src_funi, src_wkn = [depth(c, 16) for c in CLIPS_SRC]
    src_funi, src_wkn = src_funi[744:], src_wkn[0] + src_wkn

    # Dehardsubbing
    # comp = lvf.comparison.stack_compare(src_funi, src_wkn, make_diff=True)
    src = core.std.MaskedMerge(src_wkn, src_funi, kgf.hardsubmask(src_wkn, src_funi))
    hardsub_rem = core.std.MaskedMerge(src, src_funi, kgf.hardsubmask_fades(src, src_funi, 8, 2000))
    src = lvf.rfs(src, hardsub_rem, [(3917, 4024)])


    # Regular filterchain
    op, ed = (17238, 19468), (31889, 34045)
    h = 846
    w = get_w(h)
    b, c = vdf.get_bicubic_params('robidoux')

    luma = get_y(src)

    thr = 8000
    line_mask = gf.EdgeDetect(luma, 'FDOG').std.Median().std.Expr(f'x {thr} < x x 3 * ?')

    descale = core.descale.Debicubic(depth(luma, 32), w, h, b, c)
    rescaled = _nnedi3(depth(descale, 16), src.height/h, dict(nsize=0, nns=4, qual=2, pscrn=2))
    rescaled = core.std.MaskedMerge(luma, rescaled, line_mask)
    merged = vdf.merge_chroma(rescaled, src)
    out = merged

    cred_m = vdf.drm(src, h, b=b, c=c, mthr=80, mode='ellipse')
    credit = lvf.rfs(out, core.std.MaskedMerge(out, src, cred_m), [op])
    credit = lvf.rfs(credit, src, [ed])
    out = credit

    deband = dbs.f3kpf(out, 17, 36, 36)
    deband = core.std.MaskedMerge(deband, out, line_mask)
    grain = core.grain.Add(deband, 0.25)

    return depth(grain, 10)
Exemple #3
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def do_filter():
    """Vapoursynth filtering"""

    def _fsrcnnx(clip: vs.VideoNode) -> vs.VideoNode:
        blank = core.std.BlankClip(clip, format=vs.GRAY16, color=128 << 8)
        clip = join([clip, blank, blank])
        # The chroma is upscaled with box AKA nearest but we don't care since we only need the luma.
        # It's especially faster and speed is the key :^)
        clip = core.placebo.Shader(clip, 'Shaders/FSRCNNX_x2_56-16-4-1.glsl', clip.width*2, clip.height*2, filter='box')
        return get_y(clip)

    def _nnedi(clip: vs.VideoNode) -> vs.VideoNode:
        args = dict(nsize=4, nns=4, qual=2, pscrn=2)
        clip = clip.std.Transpose().nnedi3.nnedi3(0, True, **args) \
            .std.Transpose().nnedi3.nnedi3(0, True, **args)
        return core.resize.Spline36(clip, src_top=.5, src_left=.5)

    def _rescale(clip: vs.VideoNode, thr: int, downscaler: Callable[[vs.VideoNode], vs.VideoNode]) -> vs.VideoNode:
        return downscaler(core.std.Merge(_nnedi(clip), _fsrcnnx(clip), thr))

    src = SRC_CUT

    fixedges = lvf.ef(src, [1, 1, 1])

    denoise = CoolDegrain(depth(fixedges, 16), tr=1, thsad=48, thsadc=84, blksize=8, overlap=4, plane=4)


    w, h = 1280, 720
    b, c = vdf.get_bicubic_params('robidoux')
    luma = get_y(denoise)
    descale = depth(core.descale.Debicubic(depth(luma, 32), w, h, b, c), 16)
    rescale = _rescale(descale, 0.55, lambda c: core.resize.Bicubic(c, src.width, src.height, filter_param_a=0, filter_param_b=0))

    line_mask = lvf.denoise.detail_mask(rescale, brz_a=7000, brz_b=2000)
    rescale = core.std.MaskedMerge(luma, rescale, line_mask)



    credit_mask = vdf.drm(luma, b=b, c=c, mode='ellipse', sw=3, sh=3)
    credit = core.std.MaskedMerge(rescale, luma, credit_mask)


    merged = vdf.merge_chroma(credit, denoise)


    deband_mask = lvf.denoise.detail_mask(merged, brz_a=3000, brz_b=1500)
    deband = dbs.f3kpf(merged, 17, 36, 36)
    deband = core.std.MaskedMerge(deband, merged, deband_mask)
    grain = core.neo_f3kdb.Deband(deband, preset='depth', grainy=32, output_depth=10,
                                  dither_algo=3, keep_tv_range=True)

    return grain
Exemple #4
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def filtering(clip: vs.VideoNode, edstart: int, edend: int)-> vs.VideoNode:
    """Main function"""

    clip = depth(clip, 32)

    denoise = CoolDegrainSF(clip, tr=1, thsad=36, blksize=8, overlap=4)
    out = denoise


    luma = get_y(out)
    descale = core.descale.Debicubic(luma, w, h, b, c)
    out = descale


    upscale = shf.nnedi3_upscale(out, clip.height/h, dict(nsize=4, nns=4, qual=2, pscrn=1))
    out = upscale


    antialias = _antialias_stonk(descale, 128)
    mask = core.std.Sobel(antialias).std.Maximum().std.Maximum()
    antialias = lvf.rfs(out, core.std.MaskedMerge(out, antialias, mask), [(edstart+683, edstart+730)])
    merged = vdf.merge_chroma(antialias, denoise)
    out = depth(merged, 16)


    sharp = lvf.rfs(out, _unblur(descale, denoise), [(edstart+501, edstart+617)])
    out = sharp


    ref = core.resize.Point(luma, format=vs.YUV420P16)
    credit = core.std.MaskedMerge(out, ref, vdf.drm(ref, h, b=b, c=c), 0)
    out = credit


    deband_a = shf.deband_stonks(out, 24, 8, 1, shf.edge_mask_simple(out, 'prewitt', 2500, (2, 0)))
    deband_b = shf.deband_stonks(out, 31, 16, 3, shf.edge_mask_simple(out, 'prewitt', 2500, (6, 0)))
    deband_c = dbs.f3kpf(out, 17, 36, 36)
    deband = lvf.rfs(out, deband_a, [(edstart+44, edstart+69), (edstart+94, edstart+165),
                                     (edstart+190, edstart+213), (edstart+320, edstart+375),
                                     (edstart+683, edstart+730)])
    deband = lvf.rfs(deband, deband_b, [(edstart+166, edstart+189)])
    deband = lvf.rfs(deband, deband_c, [(edstart+376, edstart+682), (edstart+731, edend)])
    out = deband

    grain = core.neo_f3kdb.Deband(out, preset='depth', grainy=24, grainc=24)
    out = grain

    return out
Exemple #5
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def do_filter():
    """Vapoursynth filtering"""
    def _eedi3_instance(clip, eeargs, nnargs) -> vs.VideoNode:
        return core.eedi3m.EEDI3(clip, 0, True, **eeargs, sclip=_nnedi3_sclip(clip, nnargs))

    def _nnedi3_sclip(clip, nnargs) -> vs.VideoNode:
        return core.nnedi3.nnedi3(clip, 0, True, **nnargs)

    def _rescale(clip, width, height, eeargs, nnargs) -> vs.VideoNode:
        clip = _eedi3_instance(clip, eeargs, nnargs).std.Transpose()
        clip = _eedi3_instance(clip, eeargs, nnargs).std.Transpose()
        return core.resize.Bicubic(clip, width, height, src_left=.5, src_top=.5)

    src = SRC_CUT

    denoise = mdf.hybriddenoise_mod(src, 0.5, 1.5, depth=32)

    h = 806
    w = get_w(h)
    b, c = 0.3782, 0.3109
    eedi3_args = dict(alpha=.2, beta=.3, gamma=1000, mdis=20, vcheck=3)
    nnedi3_args = dict(nns=4, nsize=0, qual=2, pscrn=1)

    luma = get_y(denoise)
    descale = core.descale.Debicubic(luma, w, h, b, c)
    scaled = _rescale(descale, src.width, src.height, eedi3_args, nnedi3_args)

    credit_m = vrf.drm(denoise, h, b=b, c=c, sw=4, sh=4)
    scaled = lvf.rfs(scaled, core.std.MaskedMerge(scaled, luma, credit_m), [(47, 134)])
    merged = core.std.ShufflePlanes([scaled, denoise], [0, 1, 2], vs.YUV)
    merged = depth(merged, 16)


    deband_mask = lvf.denoise.detail_mask(merged, brz_a=2500, brz_b=1000)

    deband_a = dbs.f3kpf(merged, 17, 48, 48)
    deband_b = core.placebo.Deband(merged, radius=19, threshold=5, iterations=1, grain=2, planes=1|2|4)
    deband = lvf.rfs(deband_a, deband_b, [(2684, 2743)])
    deband = core.std.MaskedMerge(deband, merged, deband_mask)
    deband = core.placebo.Deband(deband, iterations=0, grain=5, planes=1)

    grain = mdf.adptvgrnMod_mod(deband, 0.3, size=1.25, sharp=60, static=False, luma_scaling=6)

    final = lvf.rfs(grain, depth(src, 16), [(2904, src.num_frames-1)])
    final = depth(final, 10)

    return final
Exemple #6
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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)
Exemple #7
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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)
Exemple #8
0
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)
Exemple #9
0
def do_filter():
    src = JPBD.src_cut

    fixedges = lvf.ef(src, [2, 1, 1])
    fixedges = depth(fixedges, 16)
    out = fixedges


    h = 720
    w = get_w(h)
    kernel = 'bilinear'


    denoise = CoolDegrain(out, tr=1, thsad=24, blksize=8, overlap=4, plane=4)
    out = denoise


    luma = get_y(out)

    line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))

    descale = kgf.get_descale_filter(kernel)(depth(luma, 32), w, h)
    rescale = vdf.fsrcnnx_upscale(depth(descale, 16), None, src.height, 'shaders/FSRCNNX_x2_56-16-4-1.glsl',
                                  partial(muvf.SSIM_downsample, kernel='Bicubic'))
    rescale = core.std.MaskedMerge(luma, rescale, line_mask)


    merged = vdf.merge_chroma(rescale, out)
    out = depth(merged, 16)


    # Slight sharp though CAS
    sharp = hvf.LSFmod(out, strength=95, Smode=3, Lmode=1, edgemode=1, edgemaskHQ=True)
    out = sharp

    dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
    out = dering

    warp = xvs.WarpFixChromaBlend(out, thresh=36, depth=6)
    out = warp



    deband_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1500)
    deband = dbs.f3kpf(out, 17, 36, 36)
    deband = core.std.MaskedMerge(deband, out, deband_mask)
    out = deband


    grain = placebo.deband(out, iterations=0, grain=6, chroma=False)
    grain_mask = core.adg.Mask(out.std.PlaneStats(), 14).std.Expr(f'x x {128<<8} - 0.25 * +')
    grain = core.std.MaskedMerge(out, grain, grain_mask)
    out = grain

    rescale_mask = vdf.drm(luma, h, kernel, sw=4, sh=4)
    ref = fixedges
    credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask, 0), [(12805, src.num_frames-1)])
    out = credit


    return depth(out, 10)
Exemple #10
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src = depth(src, 32)
    src += src[-1]

    h = 720
    w = get_w(h)
    b, c = vdf.get_bicubic_params('robidoux')
    full_stuff = [(313, 1993), (15602, 15757), (19240, 19295)]

    denoise = hybrid_denoise(src, 0.5, 2)
    denoise_b = hybrid_denoise(src, 0.6, 7.5, bm3d_args=dict(profile1='high'))
    deband = lvf.rfs(denoise, denoise_b, [(4002, 4061)])
    out = denoise

    luma = get_y(out)
    line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))

    descale = core.descale.Debicubic(luma, w, h, b, c)
    upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
                                  '_shaders/FSRCNNX_x2_56-16-4-1.glsl',
                                  core.resize.Point)

    antialias = single_rate_antialiasing(upscale,
                                         13,
                                         alpha=0.3,
                                         beta=0.45,
                                         gamma=320,
                                         mdis=18)

    scaled = muvf.SSIM_downsample(antialias,
                                  src.width,
                                  src.height,
                                  kernel='Bicubic')
    rescale = core.std.MaskedMerge(luma, scaled, line_mask)
    merged = vdf.merge_chroma(rescale, out)
    out = depth(merged, 16)

    antialias = lvf.rfs(out, _aa_extra(depth(denoise, 16)), [(2794, 2949)])
    out = antialias

    # Slight sharp though CAS
    sharp = hvf.LSFmod(out,
                       strength=75,
                       Smode=3,
                       Lmode=1,
                       edgemode=1,
                       edgemaskHQ=True)
    out = sharp

    dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
    out = dering

    warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
    out = warp

    preden = core.knlm.KNLMeansCL(out,
                                  d=0,
                                  a=3,
                                  h=0.6,
                                  device_type='GPU',
                                  channels='Y')
    deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
    deband = dbs.f3kpf(out, 17, 42, 42)
    deband = core.std.MaskedMerge(deband, out, deband_mask)
    deband_b = rkt.rekt_fast(
        deband, lambda x: core.neo_f3kdb.Deband(
            x, 8, 96, 96, 96, sample_mode=1, keep_tv_range=True), 1112, 264,
        184, 0)
    deband = lvf.rfs(deband, deband_b, [(4002, 4061)])
    out = deband

    adg_mask = core.adg.Mask(out.std.PlaneStats(),
                             20).std.Expr(f'x x {128<<8} - 0.25 * +')
    grain = core.grain.Add(out, 0.2, constant=True)
    grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
    grain_b = adptvgrnMod(grain,
                          0.6,
                          size=1.85,
                          static=False,
                          luma_scaling=4,
                          grain_chroma=False)
    grain = lvf.rfs(grain, grain_b, [(204, 2049)])
    out = grain

    rescale_mask = vdf.drm(luma, b=b, c=c, sw=4, sh=4)
    ref, rescale_mask, src = [
        depth(x, 16) for x in [denoise, rescale_mask, src]
    ]

    credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask),
                     full_stuff)
    credit = lvf.rfs(
        credit,
        core.std.MaskedMerge(credit, ref,
                             vdf.region_mask(rescale_mask, 1450, 0, 947, 0)),
        [(33860, 33925)])
    credit = lvf.rfs(credit, src, [(0, 203), (2049, 2229), (31768, 33839)])
    out = credit

    smooth = gf.JohnFPS(out[31888:33840], 60000, 1001)
    clips = [out[:31888], smooth, out[33840:]]
    vfr = muvf.VFRSplice(clips, 'symphogearg_01_timecode.txt')
    cfr = core.std.AssumeFPS(vfr, src)
    out = cfr

    return depth(out, 10)
Exemple #11
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut

    # Variables
    opstart, opend = 6161, 8319
    eptitle_s, eptitle_e = 8320, 8439
    edstart, edend = 31170, 33326
    preview_s, preview_e = 33687, src.num_frames - 1
    h = 720
    w = get_w(h)

    edges = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
    out = depth(edges, 32)

    ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
    denoise = hybrid_denoise(out, 0.35, 1.75, dict(a=2, d=1),
                             dict(ref=depth(ref, 32)))
    out = denoise

    y = get_y(out)
    lineart = vdf.edge_detect(y, 'FDOG', 0.055,
                              (1, 1)).std.Median().std.Convolution([*[1] * 9])

    descale = core.descale.Debilinear(y, w, h)

    upscale = vdf.fsrcnnx_upscale(
        descale,
        height=h * 2,
        shader_file=r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
        upscaler_smooth=eedi3_upscale,
        profile='slow',
        strength=85)

    antialias = sraa_eedi3(upscale, 9)

    downscale = muvf.SSIM_downsample(antialias,
                                     src.width,
                                     src.height,
                                     filter_param_a=0,
                                     filter_param_b=0)
    downscale = core.std.MaskedMerge(y, downscale, lineart)

    merged = vdf.merge_chroma(downscale, out)
    merged = lvf.rfs(merged, out, [(opstart, opend), (eptitle_s, eptitle_e),
                                   (preview_s, preview_e)])
    out = depth(merged, 16)

    detail_dark_mask = detail_dark_mask_func(get_y(out),
                                             brz_a=8000,
                                             brz_b=6000)
    detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
    detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
                                'x y +').std.Median()
    detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
    detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
                               2).std.Convolution([*[1] * 9])

    detail_mask = core.std.Expr([get_y(out), detail_mask_grow, detail_mask],
                                f'x {32<<8} < y z ?')

    deband = dumb3kdbv2(out, 22, 24)
    deband = core.std.MaskedMerge(deband, out, detail_mask)
    out = deband

    ref = get_y(out).std.PlaneStats()
    adgmask_a = core.adg.Mask(ref, 30)
    adgmask_b = core.adg.Mask(ref, 12)

    stgrain = sizedgrn(out, 0.1, 0.05, 1.05, sharp=80)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())

    dygrain = sizedgrn(out, 0.2, 0.05, 1.15, sharp=80, static=False)
    dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
    grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
    out = grain

    ref = depth(src, 16)
    rescale_mask = vdf.drm(ref, 720, 'bilinear', mthr=30, sw=0, sh=0)
    rescale_mask = vdf.region_mask(rescale_mask, *[10] * 4)
    rescale_mask = hvf.mt_expand_multi(rescale_mask,
                                       mode='ellipse',
                                       sw=4,
                                       sh=4)
    rescale_mask = rescale_mask.std.Binarize(scale_value(
        100, 8, 16)).std.Inflate().std.Convolution([*[1] * 9])

    dehalo_ref = gf.MaskedDHA(ref,
                              rx=1.65,
                              ry=1.65,
                              darkstr=0.15,
                              brightstr=1.0,
                              maskpull=48,
                              maskpush=140)
    dehalo_mask_a = vdf.region_mask(rescale_mask, top=650)
    dehalo_mask_b = vdf.region_mask(rescale_mask, right=400)

    credit = out
    dehalo_range_a = [(25, 205), (518, 612), (2090, 2172), (14449, 14537)]
    dehalo_range_b = [(3893, 3981)]
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
                                                  0),
                     [(2197, 2252), (4072, 4129), (4409, 4527), (5390, 5484),
                      (8473, 8603), (8610, 8669), (9826, 9909), (10666, 10713),
                      (12088, 12507), (14943, 15052), (17988, 18136),
                      (18897, 18976),
                      (edstart, edend)] + dehalo_range_a + dehalo_range_b)
    credit = lvf.rfs(
        credit, core.std.MaskedMerge(credit, dehalo_ref, dehalo_mask_a, 0),
        dehalo_range_a)
    credit = lvf.rfs(
        credit, core.std.MaskedMerge(credit, dehalo_ref, dehalo_mask_b, 0),
        dehalo_range_b)
    out = credit

    return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
Exemple #12
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src = depth(src, 32)

    h = 720
    w = get_w(h)
    b, c = vdf.get_bicubic_params('robidoux')
    full_stuff = [(0, 1310), (15484, 15639)]

    denoise = hybrid_denoise(src, 0.5, 2)
    out = denoise

    luma = get_y(out)
    line_mask = vdf.edge_detect(luma, 'FDOG', 0.05, (1, 1))

    descale = core.descale.Debicubic(luma, w, h, b, c)
    upscale = vdf.fsrcnnx_upscale(descale, None, descale.height * 2,
                                  '_shaders/FSRCNNX_x2_56-16-4-1.glsl',
                                  core.resize.Point)
    upscale_smooth = vdf.nnedi3_upscale(descale, pscrn=1)
    upscale = lvf.rfs(upscale, upscale_smooth, [(5534, 5598)])

    antialias = single_rate_antialiasing(upscale,
                                         13,
                                         alpha=0.3,
                                         beta=0.45,
                                         gamma=320,
                                         mdis=18)

    scaled = muvf.SSIM_downsample(antialias,
                                  src.width,
                                  src.height,
                                  kernel='Bicubic')
    rescale = core.std.MaskedMerge(luma, scaled, line_mask)
    merged = vdf.merge_chroma(rescale, out)
    out = depth(merged, 16)

    # Slight sharp though CAS
    sharp = hvf.LSFmod(out,
                       strength=75,
                       Smode=3,
                       Lmode=1,
                       edgemode=1,
                       edgemaskHQ=True)
    out = sharp

    dering = gf.HQDeringmod(out, thr=16, darkthr=0.1)
    out = dering

    warp = xvs.WarpFixChromaBlend(out, thresh=48, depth=8)
    out = warp

    preden = core.knlm.KNLMeansCL(out,
                                  d=0,
                                  a=3,
                                  h=0.6,
                                  device_type='GPU',
                                  channels='Y')
    deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)

    deband = dbs.f3kpf(out, 17, 42, 42)

    deband = core.std.MaskedMerge(deband, out, deband_mask)

    out = deband

    adg_mask = core.adg.Mask(out.std.PlaneStats(),
                             20).std.Expr(f'x x {128<<8} - 0.25 * +')
    grain = core.grain.Add(out, 0.2, constant=True)
    grain = core.std.MaskedMerge(out, grain, adg_mask, 0)
    out = grain

    rescale_mask = vdf.drm(luma, b=b, c=c, sw=4, sh=4)
    ref, rescale_mask, src = [
        depth(x, 16) for x in [denoise, rescale_mask, src]
    ]
    credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask),
                     full_stuff)
    credit = lvf.rfs(credit, src, [(31707, 33937)])
    out = credit

    smooth = gf.JohnFPS(out[31707:33937 + 1], 60000, 1001)
    clips = [out[:31707], smooth, out[33937 + 1:]]
    vfr = muvf.VFRSplice(clips, 'symphogearg_13_timecode.txt')
    cfr = core.std.AssumeFPS(vfr, src)
    out = cfr

    return depth(out, 10)
Exemple #13
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src = depth(src, 16)
    out = src

    dbzone = (14775, 14846)

    opstart, opend = 1200, 3356
    edstart, edend = 31888, src.num_frames - 1
    h = 846
    w = get_w(h)
    cubic_filters = ['catrom', 'mitchell', 'robidoux', 'robidoux sharp']
    cubic_filters = [vdf.get_bicubic_params(cf) for cf in cubic_filters]

    degrain = hybrid_denoise(out, 0.35, 1.2, dict(a=2, d=1))
    degrain_b = hybrid_denoise(out, 0.55, 3, dict(a=2, d=1))
    degrain = lvf.rfs(degrain, degrain_b, [dbzone])
    out = degrain

    y = get_y(out)
    y32 = depth(y, 32)
    lineart = vdf.edge_detect(y32, 'kirsch', 0.055,
                              (1, 1)).std.Median().std.Inflate()

    descale_clips = [
        core.descale.Debicubic(y32, w, h, b, c) for b, c in cubic_filters
    ]
    descale = core.std.Expr(descale_clips,
                            'x y z a min min min x y z max max min')

    conv = core.std.Convolution(descale, [1, 2, 1, 2, 0, 2, 1, 2, 1])
    thr, coef = 0.013, 3
    descale_fix = core.std.Expr([descale, conv],
                                f'x y - abs {thr} < y x ?').std.PlaneStats()
    adapt_mask = core.adg.Mask(
        descale_fix,
        12).std.Invert().std.Expr(f'x 0.5 - {coef} * 0.5 + 0 max 1 min')

    descale = core.std.MaskedMerge(descale, descale_fix, adapt_mask)

    upscale = vdf.fsrcnnx_upscale(descale,
                                  w * 2,
                                  h * 2,
                                  r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
                                  upscaler_smooth=eedi3_upscale,
                                  profile='zastin',
                                  sharpener=partial(gf.DetailSharpen,
                                                    sstr=1.25,
                                                    power=4))

    aa_strong = sraa_eedi3(upscale, 13, alpha=0.3, beta=0.5, gamma=40)
    aa = aa_strong

    down = muvf.SSIM_downsample(aa,
                                src.width,
                                src.height,
                                filter_param_a=0,
                                filter_param_b=0)

    upscale = depth(core.std.MaskedMerge(y32, down, lineart), 16)

    merged = vdf.merge_chroma(upscale, out)
    out = merged

    # Very bad halo
    dehalo_a = gf.MaskedDHA(out,
                            rx=2.75,
                            ry=2.75,
                            darkstr=0.25,
                            brightstr=1.0,
                            maskpull=48,
                            maskpush=140)
    dehalo_a = core.std.MaskedMerge(out, dehalo_a,
                                    lvf.src('lapis_05_halomask_1.png', out))
    dehalo_b = gf.MaskedDHA(out,
                            rx=2.25,
                            ry=2.25,
                            darkstr=0.25,
                            brightstr=1.0,
                            maskpull=48,
                            maskpush=140)
    dehalo = lvf.rfs(out, dehalo_a, [(11677, 11765)])
    dehalo = lvf.rfs(dehalo, dehalo_b, [(20509, 20690), (21242, 21276),
                                        (25834, 25856), (26614, 26648),
                                        (26682, 26761), (27685, 27719),
                                        (27861, 27895), (27955, 28025)])
    out = dehalo

    y = get_y(out)
    detail_light_mask = lvf.denoise.detail_mask(y, brz_a=2500, brz_b=1200)

    pf = iterate(out, core.std.Maximum, 2).std.Convolution([10] * 9, planes=0)
    diff = core.std.MakeDiff(out, pf)

    deband = core.f3kdb.Deband(pf,
                               17,
                               36,
                               36,
                               36,
                               12,
                               12,
                               2,
                               keep_tv_range=True,
                               output_depth=16)
    deband_b = core.f3kdb.Deband(pf,
                                 17,
                                 48,
                                 48,
                                 48,
                                 12,
                                 12,
                                 2,
                                 keep_tv_range=True,
                                 output_depth=16)
    deband = lvf.rfs(deband, deband_b, [dbzone])
    deband = core.std.MergeDiff(deband, diff)
    deband = core.std.MaskedMerge(deband, out, detail_light_mask)
    out = deband

    ref = degrain
    pfed = ref.std.Median().std.Convolution([1] * 9, planes=0)
    diff_ed = core.std.MakeDiff(ref, pfed)
    deband_ed = core.f3kdb.Deband(pfed,
                                  22,
                                  30,
                                  30,
                                  30,
                                  32,
                                  32,
                                  2,
                                  keep_tv_range=True,
                                  output_depth=16)
    deband_ed = core.std.MergeDiff(deband_ed, diff_ed)
    out = lvf.rfs(out, deband_ed, [(edstart, edend)])

    grain = adptvgrnMod(out,
                        0.25,
                        0.15,
                        size=out.height / h,
                        sharp=80,
                        luma_scaling=10,
                        static=True)
    out = grain

    # # Restore 1080p stuff
    ref = src
    rescale_mask = vdf.drm(ref, h, mthr=65, sw=4, sh=4)
    credit = out
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
                                                  0), [(opstart, opend),
                                                       (3369, 3451)])
    credit = lvf.rfs(credit, ref, [(18989, 19108)])
    out = credit

    return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
Exemple #14
0
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)
Exemple #15
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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 ?')
    custom_mask_a = lvf.src('rezeros2_01_4186-4400.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 = core.std.MaskedMerge(deband_a, deband_b, preden)
    deband = lvf.rfs(deband, deband_b, [(4920, 4961), (11027, 11055),
                                        (15377, 15596)])

    deband = core.std.MaskedMerge(deband, out, detail_mask)
    deband = lvf.rfs(deband,
                     core.std.MaskedMerge(deband_b, deband, custom_mask_a),
                     [(4186, 4400)])

    deband = core.neo_f3kdb.Deband(deband,
                                   preset='depth',
                                   grainy=24,
                                   grainc=24)
    out = deband

    ref = depth(denoise, 16)
    credit_mask = vdf.drm(ref, kernel='bilinear', mthr=65)
    credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, credit_mask, 0),
                     [(327, 6130), (34757, 39693), (41102, 41167)])
    credit = lvf.rfs(credit, ref, [(8320, 8439), (41168, 41239)])
    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)
Exemple #16
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def do_filter():
    """Vapoursynth filtering"""
    def _fsrcnnx(clip: vs.VideoNode, width: int, height: int) -> vs.VideoNode:
        blank = core.std.BlankClip(clip, format=vs.GRAY16, color=128 << 8)
        clip = join([clip, blank, blank])
        clip = core.placebo.Shader(clip, 'FSRCNNX_x2_56-16-4-1.glsl',
                                   clip.width * 2, clip.height * 2)
        return core.resize.Spline36(get_y(clip), width, height)

    src = SRC_CUT

    fe = lvf.ef(src, [1, 1, 1])
    fe = depth(fe, 16)

    h = 864
    w = get_w(864)
    b, c = 0, 1 / 2
    luma = get_y(fe)
    descale = core.descale.Debicubic(depth(luma, 32), w, h, b, c)
    descale = depth(descale, 16)

    rescale_a = nnedi3_rpow2(descale,
                             2,
                             src.width,
                             src.height,
                             nns=4,
                             qual=2,
                             pscrn=2)
    rescale_b = _fsrcnnx(descale, src.width, src.height)
    rescale = core.std.Merge(rescale_a, rescale_b, 0.75)

    rescale_mask = vrf.drm(fe, 864, b=b, c=c, mthr=80, sw=4, sh=4)
    rescale = core.std.MaskedMerge(rescale, luma, rescale_mask)

    rescale = lvf.rfs(rescale, luma, [(OPSTART + 483, OPSTART + 721),
                                      (OPSTART + 822, OPSTART + 1083)])
    merge = core.std.ShufflePlanes([rescale, fe], [0, 1, 2], vs.YUV)

    antialias = join([lvf.sraa(plane) for plane in split(merge)])
    antialias = lvf.rfs(merge, antialias, [(2836, 2870)])

    denoise = core.knlm.KNLMeansCL(antialias,
                                   a=2,
                                   h=0.65,
                                   d=0,
                                   device_type='gpu',
                                   channels='UV')

    preden = CoolDegrain(denoise,
                         tr=2,
                         thsad=60,
                         blksize=8,
                         overlap=4,
                         plane=4)
    diff = core.std.MakeDiff(denoise, preden)
    deband_mask = lvf.denoise.detail_mask(preden, brz_a=3000, brz_b=1500)

    deband_a = dbs.f3kpf(preden, 17, 42, 42)
    deband_b = core.placebo.Deband(preden,
                                   radius=17,
                                   threshold=6,
                                   iterations=1,
                                   grain=0,
                                   planes=1 | 2 | 4)
    deband = lvf.rfs(deband_a, deband_b, [(2081, 2216), (2450, 2550),
                                          (3418, 3452), (3926, 3926)])

    deband = core.std.MaskedMerge(deband, preden, deband_mask)
    deband = core.std.MergeDiff(deband, diff)

    grain = kgf.adaptive_grain(deband, 0.25, luma_scaling=8)
    final = depth(grain, 10)

    return final
Exemple #17
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def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    out = depth(src, 32)

    # Variables
    h = 900
    w = get_w(h)


    ref = hvf.SMDegrain(depth(out, 16), thSAD=250)
    denoise = mvf.BM3D(out, [1, 0.75], radius2=1, ref=depth(ref, 32))
    out = denoise



    y = get_y(out)
    lineart = vdf.edge_detect(y, 'FDOG', 0.085, (1, 2)).std.Median().std.Convolution([*[1]*9])


    descale = core.descale.Despline36(y, w, h)
    upscale = eedi3_upscale(descale)
    antialias = sraa_eedi3(upscale, 9)

    downscale = muvf.SSIM_downsample(antialias, src.width, src.height, filter_param_a=-0.5, filter_param_b=0.25)
    downscale = core.std.MaskedMerge(y, downscale, lineart)

    merged = vdf.merge_chroma(downscale, out)
    out = depth(merged, 16)




    sharp = hvf.LSFmod(out, strength=40, Smode=3, Lmode=1, edgemode=1, edgemaskHQ=True)
    out = sharp




    detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)

    deband = dumb3kdb(out, 17, 36)
    deband_b = dumb3kdb(out, 24, 64)
    deband = lvf.rfs(deband, deband_b, [(25600, 25691), (30867, 30938)])
    deband = core.std.MaskedMerge(deband, out, detail_light_mask)
    out = deband






    ref = get_y(out).std.PlaneStats()
    adgmask_a = core.adg.Mask(ref, 30)
    adgmask_b = core.adg.Mask(ref, 12)


    stgrain = sizedgrn(out, 0.125, 0.075, 1.15, sharp=80)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())

    dygrain = sizedgrn(out, 0.3, 0.15, 1.2, sharp=80, static=False)
    dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
    grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
    out = grain





    ref = depth(src, 16)
    rescale_mask = vdf.drm(ref, h, 'spline36', mthr=50, sw=4, sh=4)
    credit = out
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask, 0),
                     [(3032, 4101), (4290, 5284), (35677, 37282)])
    credit = lvf.rfs(credit, ref, [(17688, 17783), (37695, src.num_frames-1)])
    out = credit


    return depth(out, 10).std.Limiter(16<<2, [235<<2, 240<<2])
Exemple #18
0
def do_filter():
    """Vapoursynth filtering"""
    # Source and dithering
    src = JPBD.src_cut
    src = depth(src, 16)
    out = src

    # Variables
    opstart, opend = 17310, 19468
    edstart, edend = 31889, src.num_frames - 1
    h = 846
    w = get_w(h)
    cubic_filters = ['catrom', 'mitchell', 'robidoux', 'robidoux sharp']
    cubic_filters = [vdf.get_bicubic_params(cf) for cf in cubic_filters]

    # Remove the dynamic grain
    degrain = hybrid_denoise(out, 0.35, 1.2, dict(a=2, d=1))
    out = degrain

    y = get_y(out)
    y32 = depth(y, 32)
    lineart = vdf.edge_detect(y32, 'kirsch', 0.055,
                              (1, 1)).std.Median().std.Inflate()

    # Use multiple descaling kernel for a sharper result
    descale_clips = [
        core.descale.Debicubic(y32, w, h, b, c) for b, c in cubic_filters
    ]
    descale = core.std.Expr(descale_clips,
                            'x y z a min min min x y z max max min')

    # Fix descaling artifacts (yes even for catrom there's still artifacts)
    conv = core.std.Convolution(descale, [1, 2, 1, 2, 0, 2, 1, 2, 1])
    thr, coef = 0.013, 3.2
    descale_fix = core.std.Expr([descale, conv],
                                f'x y - abs {thr} < y x ?').std.PlaneStats()
    adapt_mask = core.adg.Mask(
        descale_fix,
        12).std.Invert().std.Expr(f'x 0.80 - {coef} * 0.20 + 0 max 1 min')

    descale = core.std.MaskedMerge(descale, descale_fix, adapt_mask)

    # Double using eedi3+nnedi, fsrcnnx and a sharpener
    upscale = vdf.fsrcnnx_upscale(descale,
                                  w * 2,
                                  h * 2,
                                  r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
                                  upscaler_smooth=eedi3_upscale,
                                  profile='zastin',
                                  sharpener=partial(gf.DetailSharpen,
                                                    sstr=1.25,
                                                    power=4))

    # Antialiasing by eedi3
    aa_strong = sraa_eedi3(upscale, 13, alpha=0.3, beta=0.5, gamma=40)
    aa = aa_strong

    # Rescale to 1080p with Bicubic b=0, c=0 AKA Hermite
    down = muvf.SSIM_downsample(aa,
                                src.width,
                                src.height,
                                filter_param_a=0,
                                filter_param_b=0)

    upscale = depth(core.std.MaskedMerge(y32, down, lineart), 16)

    merged = vdf.merge_chroma(upscale, out)
    out = merged

    # Very bad halo
    dehalo = rkt.rekt_fast(out,
                           lambda x: gf.MaskedDHA(x,
                                                  rx=4.5,
                                                  ry=4.5,
                                                  darkstr=0.05,
                                                  brightstr=1.0,
                                                  maskpull=48,
                                                  maskpush=140),
                           left=620,
                           right=440,
                           top=200,
                           bottom=176)
    mask_halo = get_y(out.std.MakeDiff(dehalo,
                                       0)).rgvs.RemoveGrain(2).std.Median()
    mask_halo = core.hist.Luma(mask_halo).std.Binarize(
        33000).std.Maximum().std.Inflate()
    mask_halo = vdf.region_mask(mask_halo,
                                left=630,
                                right=440,
                                top=200,
                                bottom=176)
    blur_dehalo = core.std.BoxBlur(dehalo, hradius=1, vradius=1)
    dehalo = core.std.MaskedMerge(dehalo, blur_dehalo, mask_halo)
    out = lvf.rfs(out, dehalo, [(15936, 15973)])

    # Deband with prefilter
    y = get_y(out)
    detail_light_mask = lvf.denoise.detail_mask(y, brz_a=2500, brz_b=1200)

    pf = iterate(out, core.std.Maximum, 2).std.Convolution([10] * 9, planes=0)
    diff = core.std.MakeDiff(out, pf)

    deband = core.f3kdb.Deband(pf,
                               17,
                               36,
                               36,
                               36,
                               12,
                               12,
                               2,
                               keep_tv_range=True,
                               output_depth=16)
    deband = core.std.MergeDiff(deband, diff)
    deband = core.std.MaskedMerge(deband, out, detail_light_mask)
    out = deband

    # Ending part
    ref = degrain
    pfed = ref.std.Median().std.Convolution([1] * 9, planes=0)
    diff_ed = core.std.MakeDiff(ref, pfed)
    deband_ed = core.f3kdb.Deband(pfed,
                                  22,
                                  30,
                                  30,
                                  30,
                                  32,
                                  32,
                                  2,
                                  keep_tv_range=True,
                                  output_depth=16)
    deband_ed = core.std.MergeDiff(deband_ed, diff_ed)
    out = lvf.rfs(out, deband_ed, [(edstart, edend)])

    # Regraining
    grain = adptvgrnMod(out,
                        0.25,
                        0.15,
                        size=out.height / h,
                        sharp=80,
                        luma_scaling=10,
                        static=True)
    out = grain

    # Restore 1080p stuff
    ref = src
    rescale_mask = vdf.drm(ref, h, mthr=65, sw=4, sh=4)

    credit = out
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
                                                  0), [(opstart, opend),
                                                       (3917, 4024)])
    out = credit

    return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
Exemple #19
0
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)
Exemple #20
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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)
Exemple #21
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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)
Exemple #22
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def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src = depth(src, 16)
    out = src

    h = 900
    w = get_w(h)

    # Remove the grain
    ref = hvf.SMDegrain(out, tr=1, thSAD=300, plane=4)
    degrain = mvf.BM3D(out, sigma=[1.5, 1], radius1=1, ref=ref)
    degrain = insert_clip(degrain, smhdegrain(out[5539:5670], 2, 280), 5539)
    degrain = insert_clip(degrain, smhdegrain(out[5933:5992], 2, 200), 5933)
    degrain = insert_clip(degrain, smhdegrain(out[6115:6180], 2, 200), 6115)
    degrain = insert_clip(degrain, smhdegrain(out[6180:6281], 2, 200), 6180)
    degrain = insert_clip(degrain, smhdegrain(out[39303:39482], 2, 280), 39303)
    degrain = insert_clip(degrain, smhdegrain(out[40391:40837], 2, 200), 40391)
    degrain = insert_clip(degrain, smhdegrain(out[40908:41087], 2, 280), 40908)
    degrain = insert_clip(degrain, smhdegrain(out[41671:41791], 2, 280), 41671)
    degrain = insert_clip(degrain, smhdegrain(out[41791:41977], 2, 280), 41791)
    degrain = insert_clip(degrain, smhdegrain(out[41977:42073], 2, 280), 41977)

    degrain = insert_clip(degrain, smhdegrain(out[43083:44462], 2, 350), 43083)
    degrain = lvf.rfs(degrain, out, [(51749, 52387)])
    out = depth(degrain, 32)

    luma = get_y(out)
    line_mask = vdf.edge_detect(luma, 'kirsch', 0.075,
                                (1, 1)).std.Median().std.Inflate()

    descale = core.descale.Debilinear(luma, w, h)
    upscale = eedi3_upscale(descale)
    antialias = single_rate_antialiasing(upscale,
                                         13,
                                         alpha=0.2,
                                         beta=0.6,
                                         gamma=300,
                                         mdis=15).resize.Bicubic(
                                             src.width, src.height)

    rescale = core.std.MaskedMerge(luma, antialias, line_mask)
    merged = vdf.merge_chroma(rescale, out)
    out = depth(merged, 16)

    y = get_y(out)
    detail_light_mask = lvf.denoise.detail_mask(y.std.Median(),
                                                brz_a=2500,
                                                brz_b=1200)

    pf = out.std.Convolution([1] * 9).std.Merge(out, 0.45)

    diffdb = core.std.MakeDiff(out, pf)

    deband = dumb3kdb(pf, 16, 30)
    deband_b = dbs.f3kbilateral(pf, 20, 100)
    deband = lvf.rfs(deband, deband_b, [(43083, 44461)])

    deband = core.std.MergeDiff(deband, diffdb)
    deband = core.std.MaskedMerge(deband, out, detail_light_mask)

    deband = lvf.rfs(deband, out, [(51749, 52387)])
    out = deband

    sharp = hvf.LSFmod(out,
                       strength=65,
                       Smode=3,
                       Lmode=1,
                       edgemode=1,
                       edgemaskHQ=True)
    out = sharp

    ref = get_y(out).std.PlaneStats()
    adgmask_a = core.adg.Mask(ref, 30)
    adgmask_b = core.adg.Mask(ref, 12)

    stgrain = sizedgrn(out, 0.1, 0.05, 1.00)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())

    dygrain = sizedgrn(out, 0.2, 0.05, 1.05, sharp=60, static=False)
    dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
    grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
    out = grain

    ref = src
    rescale_mask = vdf.drm(ref, h, mthr=65, sw=4, sh=4)
    credit = out
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
                                                  0), [(0, 2956),
                                                       (43104, 45749)])
    credit = lvf.rfs(credit, ref, [(45824, 50401),
                                   (52388, src.num_frames - 1)])
    out = credit

    return depth(out, 10)
Exemple #23
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def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut

    # Variables
    opstart, opend = 2038, 4196
    eptitle_s, eptitle_e = 4197, 4316
    edstart, edend = 31530, 33687
    preview_s, preview_e = 33688, src.num_frames - 1
    h = 720
    w = get_w(h)

    edges = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
    out = depth(edges, 32)

    ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
    denoise = hybrid_denoise(out, 0.35, 1.75, dict(a=2, d=1),
                             dict(ref=depth(ref, 32)))
    out = denoise

    y = get_y(out)
    lineart = vdf.edge_detect(y, 'FDOG', 0.055,
                              (1, 1)).std.Median().std.Convolution([*[1] * 9])

    descale = core.descale.Debilinear(y, w, h)

    upscale = vdf.fsrcnnx_upscale(
        descale,
        height=h * 2,
        shader_file=r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
        upscaler_smooth=eedi3_upscale,
        profile='slow',
        strength=85)

    antialias = sraa_eedi3(upscale, 9)

    downscale = muvf.SSIM_downsample(antialias,
                                     src.width,
                                     src.height,
                                     filter_param_a=0,
                                     filter_param_b=0)
    downscale = core.std.MaskedMerge(y, downscale, lineart)

    merged = vdf.merge_chroma(downscale, out)
    merged = lvf.rfs(merged, out, [(opstart, opend), (eptitle_s, eptitle_e),
                                   (preview_s, preview_e)])
    out = depth(merged, 16)

    detail_dark_mask = detail_dark_mask_func(get_y(out),
                                             brz_a=8000,
                                             brz_b=6000)
    detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
    detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
                                'x y +').std.Median()
    detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
    detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
                               2).std.Convolution([*[1] * 9])

    detail_mask = core.std.Expr([get_y(out), detail_mask_grow, detail_mask],
                                f'x {32<<8} < y z ?')

    deband = dumb3kdbv2(out, 22, 24)
    deband = core.std.MaskedMerge(deband, out, detail_mask)

    deband_b = dumb3kdbv2(out, 24, 64)
    deband_b = core.std.MaskedMerge(deband_b, out, detail_light_mask)
    deband = lvf.rfs(deband, deband_b, [(opstart + 414, opstart + 496)])

    out = deband

    ref = get_y(out).std.PlaneStats()
    adgmask_a = core.adg.Mask(ref, 30)
    adgmask_b = core.adg.Mask(ref, 12)

    stgrain = sizedgrn(out, 0.1, 0.05, 1.05, sharp=80)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())

    dygrain = sizedgrn(out, 0.2, 0.05, 1.15, sharp=80, static=False)
    dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
    grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
    out = grain

    ref = depth(src, 16)
    rescale_mask = vdf.drm(ref, 720, 'bilinear', mthr=30, sw=0, sh=0)
    rescale_mask = vdf.region_mask(rescale_mask, *[10] * 4)
    rescale_mask = hvf.mt_expand_multi(rescale_mask,
                                       mode='ellipse',
                                       sw=4,
                                       sh=4)
    rescale_mask = rescale_mask.std.Binarize(scale_value(
        100, 8, 16)).std.Inflate().std.Convolution([*[1] * 9])

    credit = out
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
                                                  0), [(8993, 9066),
                                                       (20104, 20223),
                                                       (edstart, edend)])

    out = credit

    return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
Exemple #24
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def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src += src[-1]

    # Variables
    opstart, opend = 8296, 10452
    eptitle_s, eptitle_e = 10453, 10572
    edstart, edend = 31528, 33685
    preview_s, preview_e = 33686, src.num_frames - 1
    h = 720
    w = get_w(h)

    edges = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
    out = depth(edges, 32)

    ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
    denoise = hybrid_denoise(out, 0.35, 1.75, dict(a=2, d=1),
                             dict(ref=depth(ref, 32)))
    out = denoise

    y = get_y(out)
    lineart = vdf.edge_detect(y, 'FDOG', 0.055,
                              (1, 1)).std.Median().std.Convolution([*[1] * 9])

    descale = core.descale.Debilinear(y, w, h)

    upscale = vdf.fsrcnnx_upscale(
        descale,
        height=h * 2,
        shader_file=r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
        upscaler_smooth=eedi3_upscale,
        profile='slow',
        strength=85)

    antialias = sraa_eedi3(upscale, 9)

    downscale = muvf.SSIM_downsample(antialias,
                                     src.width,
                                     src.height,
                                     filter_param_a=0,
                                     filter_param_b=0)
    downscale = core.std.MaskedMerge(y, downscale, lineart)

    merged = vdf.merge_chroma(downscale, out)
    merged = lvf.rfs(merged, out, [(opstart, opend), (eptitle_s, eptitle_e),
                                   (preview_s, preview_e)])
    out = depth(merged, 16)

    detail_dark_mask = detail_dark_mask_func(get_y(out),
                                             brz_a=8000,
                                             brz_b=6000)
    detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
    detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
                                'x y +').std.Median()
    detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
    detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
                               2).std.Convolution([*[1] * 9])

    detail_mask = core.std.Expr([get_y(out), detail_mask_grow, detail_mask],
                                f'x {32<<8} < y z ?')

    deband = dumb3kdbv2(out, 22, 24)
    deband = core.std.MaskedMerge(deband, out, detail_mask)

    deband_b = dumb3kdbv2(out, 24, 64)
    deband_b = core.std.MaskedMerge(deband_b, out, detail_light_mask)
    deband = lvf.rfs(deband, deband_b, [(opstart + 414, opstart + 496)])

    out = deband

    ref = get_y(out).std.PlaneStats()
    adgmask_a = core.adg.Mask(ref, 30)
    adgmask_b = core.adg.Mask(ref, 12)

    stgrain = sizedgrn(out, 0.1, 0.05, 1.05, sharp=80)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())

    dygrain = sizedgrn(out, 0.2, 0.05, 1.15, sharp=80, static=False)
    dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
    grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
    out = grain

    ref = depth(src, 16)
    rescale_mask = vdf.drm(ref, 720, 'bilinear', mthr=30, sw=0, sh=0)
    rescale_mask = vdf.region_mask(rescale_mask, *[10] * 4)
    rescale_mask = hvf.mt_expand_multi(rescale_mask,
                                       mode='ellipse',
                                       sw=4,
                                       sh=4)
    rescale_mask = rescale_mask.std.Binarize(scale_value(
        100, 8, 16)).std.Inflate().std.Convolution([*[1] * 9])

    dehalo_ref = gf.MaskedDHA(ref,
                              rx=1.65,
                              ry=1.65,
                              darkstr=0.15,
                              brightstr=1.0,
                              maskpull=48,
                              maskpush=140)
    dehalo_mask_a = vdf.region_mask(rescale_mask, top=650, right=200)

    credit = out
    dehalo_range_a = [(18, 130), (1291, 1355), (14691, 14846), (15126, 15189)]
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
                                                  0),
                     [(131, 220), (400, 505), (817, 899), (1766, 1809),
                      (1925, 2041), (4033, 4116), (4342, 4453), (4964, 5031),
                      (6422, 6515), (7848, 7978),
                      (10606, 10728), (11619, 11701), (15339, 15457),
                      (edstart, edend)] + dehalo_range_a)
    credit = lvf.rfs(
        credit, core.std.MaskedMerge(credit, dehalo_ref, dehalo_mask_a, 0),
        dehalo_range_a)

    out = credit

    return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
Exemple #25
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src += src[-1]

    # Variables
    opstart, opend = 2206, 4362
    eptitle_s, eptitle_e = 4363, 4482
    edstart, edend = 31528, 33685
    preview_s, preview_e = 33686, src.num_frames - 1
    h = 720
    w = get_w(h)

    edges = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
    out = depth(edges, 32)

    ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
    denoise = hybrid_denoise(out, 0.35, 1.75, dict(a=2, d=1),
                             dict(ref=depth(ref, 32)))
    out = denoise

    y = get_y(out)
    lineart = vdf.edge_detect(y, 'FDOG', 0.055,
                              (1, 1)).std.Median().std.Convolution([*[1] * 9])

    descale = core.descale.Debilinear(y, w, h)

    upscale = vdf.fsrcnnx_upscale(
        descale,
        height=h * 2,
        shader_file=r'shaders\FSRCNNX_x2_56-16-4-1.glsl',
        upscaler_smooth=eedi3_upscale,
        profile='slow',
        strength=85)

    antialias = sraa_eedi3(upscale, 9)

    downscale = muvf.SSIM_downsample(antialias,
                                     src.width,
                                     src.height,
                                     filter_param_a=0,
                                     filter_param_b=0)
    downscale = core.std.MaskedMerge(y, downscale, lineart)

    merged = vdf.merge_chroma(downscale, out)
    merged = lvf.rfs(merged, out, [(opstart, opend), (eptitle_s, eptitle_e),
                                   (preview_s, preview_e)])
    out = depth(merged, 16)

    detail_dark_mask = detail_dark_mask_func(get_y(out),
                                             brz_a=8000,
                                             brz_b=6000)
    detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
    detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
                                'x y +').std.Median()
    detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
    detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
                               2).std.Convolution([*[1] * 9])

    detail_mask = core.std.Expr([get_y(out), detail_mask_grow, detail_mask],
                                f'x {32<<8} < y z ?')

    deband = dumb3kdbv2(out, 22, 24)
    deband = core.std.MaskedMerge(deband, out, detail_mask)
    out = deband

    ref = get_y(out).std.PlaneStats()
    adgmask_a = core.adg.Mask(ref, 30)
    adgmask_b = core.adg.Mask(ref, 12)

    stgrain = sizedgrn(out, 0.1, 0.05, 1.05, sharp=80)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_b)
    stgrain = core.std.MaskedMerge(out, stgrain, adgmask_a.std.Invert())

    dygrain = sizedgrn(out, 0.2, 0.05, 1.15, sharp=80, static=False)
    dygrain = core.std.MaskedMerge(out, dygrain, adgmask_a)
    grain = core.std.MergeDiff(dygrain, out.std.MakeDiff(stgrain))
    out = grain

    ref = depth(src, 16)
    rescale_mask = vdf.drm(ref, 720, 'bilinear', mthr=30, sw=0, sh=0)
    rescale_mask = vdf.region_mask(rescale_mask, *[10] * 4)
    rescale_mask = hvf.mt_expand_multi(rescale_mask,
                                       mode='ellipse',
                                       sw=4,
                                       sh=4)
    rescale_mask = rescale_mask.std.Binarize(scale_value(
        100, 8, 16)).std.Inflate().std.Convolution([*[1] * 9])

    dehalo_ref = gf.MaskedDHA(ref,
                              rx=1.65,
                              ry=1.65,
                              darkstr=0.15,
                              brightstr=1.0,
                              maskpull=48,
                              maskpush=140)
    dehalo_mask_b = vdf.region_mask(rescale_mask, right=400)

    credit = out
    dehalo_range_b = [(18, 101), (16853, 16917)]
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask,
                                                  0),
                     [(126, 160), (1722, 1761), (7749, 7795), (8189, 8232),
                      (8445, 8504), (9020, 9067), (9727, 9768), (12430, 12520),
                      (12876, 12971), (13608, 13646), (15833, 15879),
                      (20526, 20586), (20783, 20823), (21193, 21239),
                      (23812, 23854), (24018, 24059),
                      (edstart, edend)] + dehalo_range_b)

    credit = lvf.rfs(
        credit, core.std.MaskedMerge(credit, dehalo_ref, dehalo_mask_b, 0),
        dehalo_range_b)
    out = credit

    return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
Exemple #26
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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)
Exemple #27
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src = depth(src, 16)
    out = src


    opstart, opend = 59, 1630
    edstart, edend = 30776, src.num_frames-1
    h = 846
    w = get_w(h)
    cubic_filters = ['catrom', 'mitchell', 'robidoux', 'robidoux sharp']
    cubic_filters = [vdf.get_bicubic_params(cf) for cf in cubic_filters]



    degrain = hybrid_denoise(out, 0.35, 1.2, dict(a=2, d=1))

    out = degrain



    y = get_y(out)
    y32 = depth(y, 32)
    lineart = vdf.edge_detect(y32, 'kirsch', 0.055, (1, 1)).std.Median().std.Inflate()




    descale_clips = [core.descale.Debicubic(y32, w, h, b, c) for b, c in cubic_filters]
    descale = core.std.Expr(descale_clips, 'x y z a min min min x y z max max min')

    conv = core.std.Convolution(descale, [1, 2, 1, 2, 0, 2, 1, 2, 1])
    thr, coef = 0.013, 3
    descale_fix = core.std.Expr([descale, conv], f'x y - abs {thr} < y x ?').std.PlaneStats()
    adapt_mask = core.adg.Mask(descale_fix, 12).std.Invert().std.Expr(f'x 0.5 - {coef} * 0.5 + 0 max 1 min')

    descale = core.std.MaskedMerge(descale, descale_fix, adapt_mask)



    upscale = vdf.fsrcnnx_upscale(descale, w*2, h*2, r'shaders\FSRCNNX_x2_56-16-4-1.glsl', upscaler_smooth=eedi3_upscale,
                                  profile='zastin', sharpener=partial(gf.DetailSharpen, sstr=1.25, power=4))

    aa_strong = sraa_eedi3(upscale, 13, alpha=0.3, beta=0.5, gamma=40)
    aa = aa_strong

    down = muvf.SSIM_downsample(aa, src.width, src.height, filter_param_a=0, filter_param_b=0)


    upscale = depth(
        core.std.MaskedMerge(y32, down, lineart), 16
    )

    merged = vdf.merge_chroma(upscale, out)
    out = merged



    y = get_y(out)
    detail_light_mask = lvf.denoise.detail_mask(y, brz_a=2500, brz_b=1200)


    pf = iterate(out, core.std.Maximum, 2).std.Convolution([10] * 9, planes=0)
    diff = core.std.MakeDiff(out, pf)

    deband = core.f3kdb.Deband(pf, 17, 36, 36, 36, 12, 12, 2, keep_tv_range=True, output_depth=16)

    deband = core.std.MergeDiff(deband, diff)
    deband = core.std.MaskedMerge(deband, out, detail_light_mask)
    out = deband





    grain = adptvgrnMod(out, 0.25, 0.15, size=out.height/h, sharp=80, luma_scaling=10, static=True)
    out = grain






    # # Restore 1080p stuff
    ref = src
    rescale_mask = vdf.drm(ref, h, mthr=65, sw=4, sh=4)
    credit = out
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask, 0),
                     [(opstart, opend), (1634, 1728), (edstart, edend)])
    credit = lvf.rfs(credit, ref, [(15200, 15271)])
    out = credit


    return depth(out, 10).std.Limiter(16<<2, [235<<2, 240<<2])
Exemple #28
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def do_filter():
    """Vapoursynth filtering"""
    src = WEB.src_cut
    src = src.std.AssumeFPS(src)

    src = depth(src, 16)
    out = src

    denoise = hvf.SMDegrain(out, tr=3, thSAD=150, thSADC=150)
    out = denoise

    dering = hvf.EdgeCleaner(out, 20, smode=1, hot=True)
    out = dering

    y = get_y(out)
    taps = 5
    w, h = 1600, 900
    descale = core.descale.Delanczos(depth(y, 32), w, h, taps)

    upscale = vdf.nnedi3_upscale(descale, pscrn=1, correct_shift=False)
    rescale = core.resize.Bicubic(upscale,
                                  1920,
                                  1080,
                                  src_left=.5,
                                  src_top=.5,
                                  filter_param_a=-.5,
                                  filter_param_b=.25)
    out = depth(rescale, 16)

    sharp = hvf.LSFmod(out,
                       strength=90,
                       Smode=3,
                       edgemode=0,
                       source=get_y(denoise))
    out = sharp

    merge = vdf.merge_chroma(out, denoise)
    out = merge

    detail_mask = lvf.mask.detail_mask(out, brz_a=2250, brz_b=1200)
    pref = out.std.Convolution([1, 2, 1, 2, 4, 2, 1, 2,
                                1]).std.Convolution([1] * 9)
    deband1 = vdf.dumb3kdb(pref, 17, 45, grain=16, seed=333)
    deband2 = vdf.dumb3kdb(pref,
                           15,
                           49,
                           grain=16,
                           sample_mode=4,
                           use_neo=True,
                           blur_first=False,
                           seed=333)

    th_lo, th_hi = 20 << 8, 26 << 8
    strength = '{1} x - {1} {0} - /'.format(th_lo, th_hi)
    deband = core.std.Expr([pref, deband1, deband2], [
        f'x {th_lo} > x {th_hi} < and z ' + strength + ' * y 1 ' + strength +
        f' - * + x {th_lo} <= z y ? ?', 'y'
    ])

    deband = core.std.MergeDiff(deband, out.std.MakeDiff(pref))
    deband = core.std.MaskedMerge(deband, out, detail_mask)
    out = deband

    grain = adptvgrnMod(out,
                        0.3,
                        0.15,
                        size=1.2,
                        luma_scaling=16,
                        hi=[128, 240],
                        protect_neutral=False,
                        seed=333)
    out = grain

    ref = denoise
    rescale_mask = vdf.drm(src, h, 'spline36', mthr=80).std.Maximum()
    credit = out
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask),
                     [(2374, 4530), (4544, 4648), (4701, 4762), (30070, 30210),
                      (31266, 33422)])
    credit = lvf.rfs(credit, ref, [(33423, src.num_frames - 1)])
    out = credit

    return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2], [0, 1, 2])
Exemple #29
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src += src[-1] * 2
    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 ?')

    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 = core.std.MaskedMerge(deband_a, deband_b, preden)
    deband = core.std.MaskedMerge(deband, out, detail_mask)

    deband = core.neo_f3kdb.Deband(deband,
                                   preset='depth',
                                   grainy=24,
                                   grainc=24)
    out = deband

    ref, src = [depth(x, 16) for x in [denoise, src]]
    credit_mask = vdf.drm(ref, kernel='bilinear', mthr=65)
    credit = out
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, credit_mask, 0),
                     [(0, 1380), (36437, 38719)])
    credit = lvf.rfs(credit, ref, [(20810, 20881),
                                   (38720, src.num_frames - 1)])
    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)
Exemple #30
0
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)