예제 #1
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')




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


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


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

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

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



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


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



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


    preden = core.knlm.KNLMeansCL(out, d=0, a=3, h=0.6, device_type='GPU', channels='Y')
    deband_mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
    deband = dbs.f3kpf(out, 17, 42, 42)
    deband = core.std.MaskedMerge(deband, out, deband_mask)
    out = deband


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


    return depth(out, 10)
예제 #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)
예제 #3
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src = depth(src, 32)
    ed = (30089, 32247)

    denoise = kgf.hybriddenoise(src, 0.45, 2)
    out = denoise

    h = 720
    w = get_w(h)
    b, c = vdf.get_bicubic_params('mitchell')


    luma = get_y(out)
    line_mask = shf.edge_mask_simple(luma, 'FDOG', 0.08, (1, 1))


    descale = core.descale.Debicubic(luma, w, h, b, c)
    upscale = shf.fsrcnnx_upscale(descale, src.height, 'shaders/FSRCNNX_x2_56-16-4-1.glsl',
                                  partial(SSIM_downsample, kernel='Bicubic'))
    rescale = core.std.MaskedMerge(luma, upscale, line_mask)
    merged = vdf.merge_chroma(rescale, denoise)
    out = depth(merged, 16)



    mask = shf.detail_mask(out, (10000, 4000), (12000, 3500), [(2, 2), (2, 2)], sigma=[50, 250, 400], upper_thr=0.005)
    deband = dbs.f3kpf(out, 17, 42, 48, thrc=0.4)
    deband = core.std.MaskedMerge(deband, out, mask)

    deband_b = placebo.deband(out, 27, 8, 3, 0)
    deband = lvf.rfs(deband, deband_b, [(3404, 3450)])

    deband_c = shf.deband_stonks(out, 20, 8, 3, shf.edge_mask_simple(out, 'prewitt', 2500, (8, 1)))
    deband = lvf.rfs(deband, deband_c, [(5642, 5784), (6222, 6479), (7798, 8073), (8133, 8256), (9699, 9817)])

    deband_d = placebo.deband(out, 17, 7.5, 1, 0)
    deband_d = core.std.MaskedMerge(deband_d, out, mask)
    deband = lvf.rfs(deband, deband_d, [(8074, 8132), (8711, 8766), (12267, 12433), (28468, 28507)])

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


    grain = adptvgrnMod(out, 0.3, size=4/3, sharp=55, luma_scaling=14, grain_chroma=False)
    out = grain


    ending = shinyori_ed01.filtering(src, *ed)
    final = lvf.rfs(out, ending, [ed])

    return depth(final, 10)
예제 #4
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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
예제 #5
0
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)
예제 #6
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])
예제 #7
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])
예제 #8
0
def do_filter():
    """Vapoursynth filtering"""
    def _single_rate_aa(clip):
        nnargs = dict(nsize=0, nns=2, qual=1)
        eeargs = dict(alpha=0.2, beta=0.4, gamma=250, nrad=3, mdis=20)
        clip = core.eedi3m.EEDI3(clip,
                                 0,
                                 0,
                                 0,
                                 sclip=core.nnedi3.nnedi3(
                                     clip, 0, 0, 0, **nnargs),
                                 **eeargs).std.Transpose()
        clip = core.eedi3m.EEDI3(clip,
                                 0,
                                 0,
                                 0,
                                 sclip=core.nnedi3.nnedi3(
                                     clip, 0, 0, 0, **nnargs),
                                 **eeargs).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, height=540, 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, [(3368, 3451)])

    # Regular filterchain
    op, ed, eyec = (1200, 3356), (18989, 19108), (31888, 34046)
    opstart = op[0]

    denoise = CoolDegrain(src, tr=1, thsad=36, blksize=8, overlap=4, plane=4)

    h = 846
    w = get_w(h)
    b, c = vdf.get_bicubic_params('mitchell')

    luma = get_y(denoise)

    descale = core.descale.Debicubic(depth(luma, 32), w, h, b, c)

    upscale = vdf.fsrcnnx_upscale(depth(descale, 16), descale.height * 2,
                                  "Shaders/FSRCNNX_x2_56-16-4-1.glsl",
                                  core.resize.Point)
    sraa = _single_rate_aa(upscale)
    rescaled = core.resize.Bicubic(sraa,
                                   src.width,
                                   src.height,
                                   filter_param_a=0,
                                   filter_param_b=0)

    dering = core.std.MaskedMerge(
        rescaled, core.bilateral.Gaussian(rescaled, 0.3),
        hvf.HQDeringmod(rescaled, incedge=True, show=True))
    rescaled = lvf.rfs(rescaled, dering, [(opstart, opstart + 498)])
    merged = vdf.merge_chroma(rescaled, src)
    out = merged

    dehalo = fine_dehalo(out,
                         rx=2.2,
                         darkstr=0,
                         brightstr=1,
                         contra=True,
                         useMtEdge=True)
    out = dehalo

    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, [eyec, ed])
    out = credit

    thr = 7000
    line_mask = gf.EdgeDetect(
        out, 'FDOG').std.Median().std.Expr(f'x {thr} < x x 3 * ?')

    deband = dbs.f3kpf(out, 17, 36, 36)
    deband_b = dbs.f3kbilateral(out, 20, 64, 64)
    deband = lvf.rfs(deband, deband_b, [(14775, 14846)])
    deband = core.std.MaskedMerge(deband, out, line_mask)
    out = deband

    dedimm = gf.Tweak(out, sat=1.1, cont=1.1)
    dedimm = lvf.rfs(out, dedimm, [(12957, 13061)])
    out = dedimm

    grain = core.grain.Add(out, 0.1)
    out = grain

    return depth(out, 10)
예제 #9
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src = depth(src, 32)

    h = 720
    w = get_w(h)
    # getnative script returns 0.2 0.5 as best combo but it introduces too much halos.
    # I think it's plain mitchell but robidoux is good too and very slightly sharp.
    b, c = vdf.get_bicubic_params('robidoux')
    opstart = 0

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

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

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

    antialias = single_rate_antialiasing(upscale,
                                         13,
                                         alpha=0.3,
                                         beta=0.45,
                                         gamma=320,
                                         mdis=18)
    scaled = muvf.SSIM_downsample(antialias,
                                  src.width,
                                  src.height,
                                  kernel='Bicubic')

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

    antialias = lvf.rfs(
        out,
        lvf.sraa(out,
                 1.65,
                 9,
                 alpha=0.3,
                 beta=0.45,
                 gamma=240,
                 nrad=3,
                 mdis=25), [(opstart + 840, opstart + 881)])
    out = antialias

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

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

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

    preden = core.knlm.KNLMeansCL(out,
                                  d=0,
                                  a=3,
                                  h=0.6,
                                  device_type='GPU',
                                  channels='Y')
    mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
    deband = dbs.f3kpf(out, 17, 42, 42)
    deband_b = placebo.deband(out, 22, 6, 2)
    deband = lvf.rfs(deband, deband_b, [(opstart + 1515, opstart + 1603)])
    deband = core.std.MaskedMerge(deband, out, mask)
    out = deband

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

    return depth(out, 10)
예제 #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)
예제 #11
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 = 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)
예제 #12
0
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)
예제 #13
0
def do_filter():
    """Vapoursynth filtering"""
    def _rescale(clip: vs.VideoNode, dx: int, dy: int):
        eeargs = dict(pscrn=2, alpha=0.3, beta=0.4, gamma=500, nrad=3, mdis=18)
        ux = clip.width * 2
        uy = clip.height * 2
        clip = iaa.eedi3_instance(clip.std.Transpose(),
                                  nnedi3Mode='opencl',
                                  **eeargs)
        clip = core.resize.Bicubic(clip,
                                   height=dx,
                                   src_top=-0.5,
                                   src_height=ux,
                                   filter_param_a=0,
                                   filter_param_b=0)
        clip = iaa.eedi3_instance(clip.std.Transpose(),
                                  nnedi3Mode='opencl',
                                  **eeargs)
        return core.resize.Bicubic(clip,
                                   height=dy,
                                   src_top=-0.5,
                                   src_height=uy,
                                   filter_param_a=0,
                                   filter_param_b=0)

    # 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 + src_wkn[-1]

    # Dehardsubbing
    # comp = lvf.comparison.stack_compare(src_funi, src_wkn, height=720, 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, [(4018, 4138)])

    # Regular filterchain
    op, ed, eyec = (1534, 3692), (16280, 16399), (31888, 34046)
    opstart = op[0]
    h = 846
    w = get_w(h)
    b, c = vdf.get_bicubic_params('mitchell')

    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 = _rescale(depth(descale, 16), src.width, src.height)
    rescaled = core.std.MaskedMerge(luma, rescaled, line_mask)

    dering = core.std.MaskedMerge(
        rescaled, core.bilateral.Gaussian(rescaled, 0.3),
        hvf.HQDeringmod(rescaled, incedge=True, show=True))

    rescaled = lvf.rfs(rescaled, dering, [(opstart, opstart + 498)])
    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, [eyec, ed])
    out = credit

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

    dedimm = gf.Tweak(deband, sat=1.28, cont=1.28)
    dedimm = lvf.rfs(deband, dedimm, [(1112, 1159), (7764, 7780), (9436, 9514),
                                      (20607, 20755), (26972, 27006)])

    grain = core.grain.Add(dedimm, 0.1)

    return depth(grain, 10)
예제 #14
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    ep10 = JPBD_10.src_cut

    h = 720
    w = get_w(h)
    b, c = vdf.get_bicubic_params('robidoux')
    opstart, opend = 744, 3140
    opstart_ep10, opend_ep10 = 768, 3164
    full_stuff = [(3145, 3269), (18289, 18444), (29158, 33410)]

    border = rkt.rekt_fast(src,
                           lambda x: core.fb.FillBorders(x, 0, 0, 0, 2),
                           right=1212)
    fixstudioshit = lvf.rfs(src, border, [31759])

    border = rkt.rekt_fast(src,
                           lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
                           right=1212)
    fixstudioshit = lvf.rfs(fixstudioshit, border, [31760])

    border = rkt.rekt_fast(src,
                           lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
                           right=1274)
    fixstudioshit = lvf.rfs(fixstudioshit, border, [(31761, 31762)])

    border = rkt.rekt_fast(src,
                           lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
                           right=1300)
    fixstudioshit = lvf.rfs(fixstudioshit, border, [31763])

    border = rkt.rekt_fast(src,
                           lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
                           right=1322)
    fixstudioshit = lvf.rfs(fixstudioshit, border, [31764])

    border = rkt.rekt_fast(src,
                           lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
                           right=1342)
    fixstudioshit = lvf.rfs(fixstudioshit, border, [31765])

    border = rkt.rekt_fast(src,
                           lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
                           right=1356)
    fixstudioshit = lvf.rfs(fixstudioshit, border, [31766])

    border = rkt.rekt_fast(src,
                           lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
                           right=1368)
    fixstudioshit = lvf.rfs(fixstudioshit, border, [31767])

    border = rkt.rekt_fast(src,
                           lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
                           right=1376)
    fixstudioshit = lvf.rfs(fixstudioshit, border, [31768])

    border = rkt.rekt_fast(src,
                           lambda x: core.fb.FillBorders(x, 0, 0, 0, 6),
                           right=1382)
    fixstudioshit = lvf.rfs(fixstudioshit, border, [(31769, 31793)])

    src = fixstudioshit

    # Fix compositing error in the OP
    op_src, op_10 = src[opstart:opend + 1], ep10[opstart_ep10:opend_ep10 + 1]
    fix = lvf.rfs(op_src, op_10, [(0, 79), (1035, 1037)])
    fix_src = insert_clip(src, fix, opstart)
    src = depth(fix_src, 32)

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

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

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

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

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

    antialias = lvf.rfs(
        out,
        lvf.sraa(out,
                 1.65,
                 9,
                 alpha=0.3,
                 beta=0.45,
                 gamma=240,
                 nrad=3,
                 mdis=25), [(opstart + 840, opstart + 881)])
    out = antialias

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

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

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

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

    deband = dbs.f3kpf(out, 17, 42, 42)
    deband_b = placebo.deband(out, 22, 6, 2)
    deband = lvf.rfs(deband, deband_b, [(opstart + 1515, opstart + 1603)])

    deband_c = placebo.deband(out, 17, 6, 3)
    deband = lvf.rfs(deband, deband_c, [(12529, 12615)])

    deband_d = placebo.deband(out, 10, 3, 1)
    deband = lvf.rfs(deband, deband_d, [(21077, 21304), (22141, 22278),
                                        (22861, 22944), (29354, 29425),
                                        (33555, 33614)])

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

    out = deband

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

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

    credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, rescale_mask),
                     full_stuff)
    out = credit

    src_c, src_ncop = [
        c.knlm.KNLMeansCL(a=7, h=35, d=0, device_type='gpu')
        for c in [src, src_ncop]
    ]

    opening_mask = vdf.dcm(out, src_c[opstart:opend + 1],
                           src_ncop[:opend - opstart + 1], opstart, opend, 4,
                           4).std.Inflate()

    credit = lvf.rfs(out, core.std.MaskedMerge(out, ref, opening_mask),
                     [(opstart, opend)])
    out = credit

    return depth(out, 10)
예제 #15
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)
예제 #16
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    ep11 = JPBD_11.src_cut

    opstart = 0
    opstart_ep11, opend_ep11 = 744, 3140
    h = 720
    w = get_w(h)
    b, c = vdf.get_bicubic_params('robidoux')

    # Fix compositing error in the OP
    ncop, op_11 = src, ep11[opstart_ep11:opend_ep11 + 1]
    fix = lvf.rfs(ncop, op_11, [(0, 79), (1035, 1037)])
    src = depth(fix, 32)

    def denoise_and_rescale(clip):
        denoise = hybrid_denoise(clip, 0.5, 2)
        out = denoise

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

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

        antialias = single_rate_antialiasing(upscale,
                                             13,
                                             alpha=0.3,
                                             beta=0.45,
                                             gamma=320,
                                             mdis=18)
        scaled = muvf.SSIM_downsample(antialias,
                                      src.width,
                                      src.height,
                                      kernel='Bicubic')

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

    out = denoise_and_rescale(src)
    to_zoom = denoise_and_rescale(depth(JPBD_11.src_cut[8590:8605], 32))

    zoom = core.std.FrameEval(to_zoom, partial(_zoom_prog, clip=to_zoom))
    out = insert_clip(out, zoom, 1685)

    antialias = lvf.rfs(
        out,
        lvf.sraa(out,
                 1.65,
                 9,
                 alpha=0.3,
                 beta=0.45,
                 gamma=240,
                 nrad=3,
                 mdis=25), [(opstart + 840, opstart + 881)])
    out = antialias

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

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

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

    preden = core.knlm.KNLMeansCL(out,
                                  d=0,
                                  a=3,
                                  h=0.6,
                                  device_type='GPU',
                                  channels='Y')
    mask = lvf.denoise.detail_mask(preden, brz_a=2000, brz_b=800, rad=4)
    deband = dbs.f3kpf(out, 17, 42, 42)
    deband_b = placebo.deband(out, 22, 6, 2)
    deband = lvf.rfs(deband, deband_b, [(opstart + 1515, opstart + 1603)])
    deband = core.std.MaskedMerge(deband, out, mask)
    out = deband

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

    return depth(out, 10)
예제 #17
0
def do_filter():
    """Vapoursynth filtering"""
    # Source and dithering
    src = JPBD.src_cut
    src = depth(src, 16)
    out = src

    # Variables
    h = 846
    w = get_w(h)
    cubic_filters = ['catrom', 'mitchell', 'robidoux', 'robidoux sharp']
    cubic_filters = [vdf.get_bicubic_params(cf) for cf in cubic_filters]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
예제 #18
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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 = 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)
예제 #19
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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])
예제 #20
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def do_filter():
    """Vapoursynth filtering"""

    def _nnedi3(clip: vs.VideoNode, factor: float, args: dict) -> vs.VideoNode:
        upscale = clip.std.Transpose().nnedi3cl.NNEDI3CL(0, True, **args) \
            .std.Transpose().nnedi3cl.NNEDI3CL(0, True, **args)
        sraa = _sraa(upscale, dict(nsize=3, nns=3, qual=1, pscrn=1),
                dict(alpha=0.3, beta=0.4, gamma=500, nrad=3, mdis=18))
        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)

    def _sraa(clip: vs.VideoNode, nnargs: dict, eeargs: dict) -> vs.VideoNode:
        def _nnedi3(clip):
            return clip.nnedi3.nnedi3(0, False, **nnargs)
        def _eedi3(clip, sclip):
            return clip.eedi3m.EEDI3(0, False, **eeargs, sclip=sclip)
        clip = _eedi3(clip, _nnedi3(clip)).std.Transpose()
        clip = _eedi3(clip, _nnedi3(clip)).std.Transpose()
        return clip

    # 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, height=720, 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, [(3796, 3892)])

    # Regular filterchain
    op, ed, eyec = (1630, 3788), (31888, 34046), (16400, 16519)
    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, [eyec, ed])
    out = credit

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

    dedimm = gf.Tweak(deband, sat=1.15, cont=1.15)
    dedimm = lvf.rfs(deband, dedimm, [(21093, 21211)])

    grain = core.grain.Add(dedimm, 0.2)

    return depth(grain, 10)