Example #1
0
    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)
Example #2
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)
Example #3
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)
Example #4
0
    def _vdf_fsrcnnx(clip: vs.VideoNode, width: int,
                     height: int) -> vs.VideoNode:
        clip = core.std.ShufflePlanes([
            vsutil.depth(clip.resize.Point(vsutil.get_w(864), 864), 16),
            src.resize.Bicubic(vsutil.get_w(864), 864)
        ],
                                      planes=[0, 1, 2],
                                      colorfamily=vs.YUV)

        return vsutil.get_y(
            vsutil.depth(vdf.fsrcnnx_upscale(clip, width, height, FSRCNNX),
                         32))
Example #5
0
 def _fsrlineart(clip: vs.VideoNode, width: int,
                 height: int) -> vs.VideoNode:
     clip = clip.resize.Point(1280, 720)
     assert clip.format is not None
     nn = depth(_nnedi3_double(depth(clip, 16)),
                clip.format.bits_per_sample)
     fsr = fsrcnnx_upscale(clip,
                           width,
                           height,
                           upscaled_smooth=nn,
                           shader_file=FSRCNNX)
     mask = retinex_edgemask(depth(fsr.std.ShufflePlanes(0, vs.GRAY), 16))
     mask = mask.std.Binarize(scale_thresh(0.65, mask)).std.Maximum()
     mask = depth(mask,
                  clip.format.bits_per_sample,
                  range_in=CRange.FULL,
                  range=CRange.FULL)
     return core.std.MaskedMerge(
         nn.resize.Bicubic(width,
                           height,
                           filter_param_a=0,
                           filter_param_b=1 / 2), fsr, mask)
Example #6
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 = vdf.merge_chroma(upscale, out)

    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

    return depth(out, 10)
Example #7
0
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)
Example #8
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)
Example #9
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 = 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)
Example #10
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)
Example #11
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut
    src = src.std.SetFrameProp('_Matrix', intval=1)

    # Variables
    edstart, edend = 165528, src.num_frames-1
    h = 844
    w = get_w(h)


    edges_a = core.edgefixer.ContinuityFixer(src, *[[1, 0, 0]]*4)
    edges_b = core.edgefixer.ContinuityFixer(src, [0, 0, 0], [1, 0, 0], [0, 0, 0], [1, 0, 0])
    edges = lvf.rfs(edges_a, edges_b, [(8900, 9001)])
    out = depth(edges, 32)


    ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=300)
    denoise = hybrid_denoise(out, 0.25, 1.05, dict(a=2, d=1), dict(ref=depth(ref, 32)))
    out = denoise



    y = get_y(out)
    lineart = vdf.edge_detect(y, 'FDOG', 0.065, (1, 1)).std.Median().std.BoxBlur(0, 1, 1, 1, 1)


    descale_clips = [core.resize.Bicubic(y, w, h, filter_param_a=1/3, filter_param_b=1/3),
                     core.descale.Debicubic(y, w, h, 0, 1/2),
                     core.descale.Debicubic(y, w, h, 1/3, 1/3)]
    descale = core.std.Expr(descale_clips, 'x y z min max y z max min z min')
    descale_bcsharp = core.descale.Debicubic(y, get_w(842), 842, 0, 1)
    descale_bcsharp = gf.MaskedDHA(depth(descale_bcsharp, 16), rx=1.4, ry=1.4, darkstr=0.05, brightstr=1.0, maskpull=48, maskpush=140)


    upsc_args = dict(shader_file='shaders/FSRCNNX_x2_56-16-4-1.glsl', upscaler_smooth=eedi3_upscale, profile='zastin',
                     sharpener=partial(gf.DetailSharpen, sstr=1.65, power=4, mode=0, med=True))

    upscale = vdf.fsrcnnx_upscale(descale, height=h*2, **upsc_args)
    antialias = sraa_eedi3(upscale, 3, alpha=0.2, beta=0.4, gamma=100, mdis=20, nrad=3)
    downscale_a = muvf.SSIM_downsample(antialias, src.width, src.height, kernel='Bicubic', filter_param_a=0, filter_param_b=0)


    upscale = eedi3_upscale(descale_bcsharp)
    antialias = sraa_eedi3(depth(upscale, 32), 3, alpha=0.2, beta=0.4, gamma=100, mdis=20, nrad=3)
    downscale_b = muvf.SSIM_downsample(antialias, src.width, src.height, kernel='Bicubic', filter_param_a=0, filter_param_b=0)



    downscale = lvf.rfs(downscale_a, downscale_b, [(52931, 53004), (53459, 53696), (54218, 54441),
                                                   (55137, 55254), (55420, 55570)])
    scaled = core.std.MaskedMerge(y, downscale, lineart)

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



    crop = core.std.Crop(out, left=4, right=2)
    fb = core.fb.FillBorders(crop, 1, 1, 0, 0, mode="fillmargins")
    resize = core.resize.Bicubic(fb, 1920)
    out = lvf.rfs(out, resize, [(8900, 9001)])



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

    deband = dumb3kdb(out, 16, 42)
    deband = core.std.MaskedMerge(deband, out, detail_light_mask)
    out = deband





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

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

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




    ref = depth(src, 16)
    src_c, src_nced = [c.std.BoxBlur(0, 1, 1, 1, 1) for c in [src, JPBD_NCED.src_cut]]
    creditless_mask = vdf.dcm(ref, src_c[edstart:edend+1], src_nced[:edend-edstart+1], edstart, edend, 3, 3).std.Deflate()
    rescale_mask = vdf.drm(ref, h, b=1/3, c=1/3, mthr=30)
    rescale_mask = vdf.region_mask(rescale_mask, 20, 20, 20, 20).std.Binarize(6000).std.Maximum().std.Maximum().std.Inflate()

    credit = out
    credit = lvf.rfs(credit, ref, [(0, 672)])
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, creditless_mask, 0), [(edstart, edend)])
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask[5602], 0), [(5561, 5752)])
    out = credit


    return depth(out, 10).std.Limiter(16<<2, [235<<2, 240<<2])
Example #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')
    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)
Example #13
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)
Example #14
0
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])
Example #15
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut

    # Variables
    h = 720
    w = get_w(h)

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

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

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

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

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

    antialias = sraa_eedi3(upscale, 9)

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

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

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

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

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

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

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

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

    return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
Example #16
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])
Example #17
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)
Example #18
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)
Example #19
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)
Example #20
0
def do_filter():
    """Vapoursynth filtering"""
    src = JPBD.src_cut

    # Variables
    opstart, opend = 2111, 4268
    edstart, edend = 31650, 33809
    full_zone = [(18727, 18774), (31590, 31649), (33990, src.num_frames - 1)
                 ]  # eyecatch, episode name and next episode
    shabc_zone = [(edstart + 15, edstart + 1215),
                  (edstart + 1882, edstart + 2126)]
    h = 720
    w = get_w(h)

    # Bicubic sharp parts don't have bad edges
    edges_a = core.edgefixer.ContinuityFixer(src, *[[2, 1, 1]] * 4)
    edges_b = awf.bbmod(src, left=6, thresh=32, blur=200)
    edges = lvf.rfs(edges_a, edges_b, [(edstart + 1275, edstart + 1757)])
    edges = lvf.rfs(edges, src, [(opstart, opend)] + full_zone)
    out = depth(edges, 32)

    # Denoise
    ref = hvf.SMDegrain(depth(get_y(out), 16), thSAD=450)
    denoise = hybrid_denoise(out, 0.35, 1.4, dict(a=2, d=1),
                             dict(ref=depth(ref, 32)))
    out = denoise
    # denoise = out

    # Descale
    luma = get_y(out)
    lineart = vdf.edge_detect(luma, 'FDOG', 0.055,
                              (1, 1)).std.Median().std.BoxBlur(0, 1, 1, 1, 1)

    descale_a = core.descale.Despline36(luma, w,
                                        h).std.SetFrameProp('descaleKernel',
                                                            data='spline36')
    descale_b = core.descale.Debicubic(luma, w, h, 0, 1).std.SetFrameProp(
        'descaleKernel', data='sharp_bicubic')
    descale = lvf.rfs(descale_a, descale_b, shabc_zone)

    # Chroma reconstruction
    # y_m is the assumed mangled luma.
    # Descale 1080p -> Bad conversion in 422 720p -> Regular 1080p 420
    radius = 2
    y, u, v = descale, plane(out, 1), plane(out, 2)
    y_m = core.resize.Point(y, 640, 720,
                            src_left=-1).resize.Bicubic(960,
                                                        540,
                                                        filter_param_a=1 / 3,
                                                        filter_param_b=1 / 3)

    # 0.25 for 444 and 0.25 for right shifting
    y_m, u, v = [
        c.resize.Bicubic(w,
                         h,
                         src_left=0.25 + 0.25,
                         filter_param_a=0,
                         filter_param_b=.5) for c in [y_m, u, v]
    ]

    y_fixup = core.std.MakeDiff(y, y_m)
    yu, yv = Regress(y_m, u, v, radius=radius, eps=1e-7)

    u_fixup = ReconstructMulti(y_fixup, yu, radius=radius)
    u_r = core.std.MergeDiff(u, u_fixup)

    v_fixup = ReconstructMulti(y_fixup, yv, radius=radius)
    v_r = core.std.MergeDiff(v, v_fixup)

    # -0.5 * 720/1080 = -1/3
    # -1/3 for the right shift
    # https://forum.doom9.org/showthread.php?p=1802716#post1802716
    u_r, v_r = [
        c.resize.Bicubic(960,
                         540,
                         src_left=-1 / 3,
                         filter_param_a=-.5,
                         filter_param_b=.25) for c in [u_r, v_r]
    ]

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

    antialias = sraa_eedi3(upscale,
                           3,
                           alpha=0.2,
                           beta=0.4,
                           gamma=40,
                           nrad=3,
                           mdis=20)

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

    merged_a = join([downscale, u_r, v_r])
    merged_b = vdf.merge_chroma(downscale, denoise)
    merged = lvf.rfs(merged_a, merged_b, shabc_zone)
    out = depth(merged, 16)

    warp = xvs.WarpFixChromaBlend(out, 80, 2, depth=8)
    out = warp

    dering = gf.MaskedDHA(out,
                          rx=1.25,
                          ry=1.25,
                          darkstr=0.05,
                          brightstr=1.0,
                          maskpull=48,
                          maskpush=140)
    out = dering

    qtgmc = hvf.QTGMC(out, Preset="Slower", InputType=1, ProgSADMask=2.0)
    qtgmc = vdf.fade_filter(out, out, qtgmc, edstart + 1522,
                            edstart + 1522 + 24)
    qtgmc = lvf.rfs(out, qtgmc, [(edstart + 1522 + 25, edstart + 1757)])
    out = qtgmc

    out = lvf.rfs(out, depth(denoise, 16), [(opstart, opend)])

    detail_dark_mask = detail_dark_mask_func(get_y(out),
                                             brz_a=8000,
                                             brz_b=6000)
    detail_light_mask = lvf.denoise.detail_mask(out, brz_a=2500, brz_b=1200)
    detail_mask = core.std.Expr([detail_dark_mask, detail_light_mask],
                                'x y +').std.Median()
    detail_mask_grow = iterate(detail_mask, core.std.Maximum, 2)
    detail_mask_grow = iterate(detail_mask_grow, core.std.Inflate,
                               2).std.BoxBlur(0, 1, 1, 1, 1)

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

    deband = dumb3kdb(out, 22, 30)
    deband = core.std.MaskedMerge(deband, out, detail_mask)
    out = deband

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

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

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

    ref = depth(edges, 16)
    credit = out
    rescale_mask = vdf.diff_rescale_mask(ref, h, b=0, c=1, mthr=40, sw=0, sh=0)
    rescale_mask = vdf.region_mask(rescale_mask, *[10] * 4)
    rescale_mask = hvf.mt_expand_multi(rescale_mask,
                                       mode='ellipse',
                                       sw=4,
                                       sh=4).std.BoxBlur(0, 1, 1, 1, 1)

    credit = lvf.rfs(credit, ref, full_zone)
    credit = lvf.rfs(credit, core.std.MaskedMerge(credit, ref, rescale_mask),
                     [(edstart, edend)])
    out = credit

    return depth(out, 10).std.Limiter(16 << 2, [235 << 2, 240 << 2])
Example #21
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)
Example #22
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])
Example #23
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])
Example #24
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])
Example #25
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)
Example #26
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])
Example #27
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])
Example #28
0
from vapoursynth import core, GRAY, YUV, YUV444P16, YUV420P10
import awsmfunc as awf
import lvsfunc as lvf
import havsfunc as haf
import vardefunc as vdf
from rekt import rektlvls

src = core.ffms2.Source("[SubsPlease] Nomad - Megalo Box 2 - 01 (1080p) [99D681F1].mkv")
fb = rektlvls(src, colnum=[0, 1919], colval=[15, 15])
fb = rektlvls(fb, rownum=[0, 1079], rowval=[16, 16])
descale = lvf.scale.descale(fb, upscaler=None, height=720, kernel=lvf.kernels.Bicubic(b=0, c=1))
descale = lvf.scale.descale(descale, upscaler=None, height=405, kernel=lvf.kernels.Bicubic(b=0, c=1/2))
downscale = fb.resize.Spline36(width=descale.width, height=descale.height, format=YUV444P16)
descale = descale.resize.Spline36(format=YUV444P16)
u = core.std.ShufflePlanes(downscale, planes=[1], colorfamily=GRAY)
v = core.std.ShufflePlanes(downscale, planes=[2], colorfamily=GRAY)
descale = core.std.ShufflePlanes([descale, u, v], planes=[0, 0, 0], colorfamily=YUV)
deband = descale.placebo.Deband(threshold=3, radius=8, grain=0)
rescale = vdf.fsrcnnx_upscale(deband, 1920, 1080, shader_file="FSRCNNX_x2_56-16-4-1.glsl").resize.Spline36(1920, 1080)
rescale = vdf.merge_chroma(rescale, deband.resize.Spline36(width=1920, height=1080))
rescale = awf.ReplaceFrames(rescale, haf.Deblock_QED(src).placebo.Deband(threshold=3, radius=8, grain=0).resize.Spline36(format=YUV444P16), "[0 167] [662 757] [806 901] [950 1045] [1130 1125] [1418 1513] [2514 2637] [32698 34694]")
rescale = awf.ReplaceFrames(rescale, fb.placebo.Deband(threshold=3, radius=8, grain=0).resize.Spline36(format=YUV444P16), "[168 601] [25058 25185]")
rescale = rescale.resize.Spline36(format=YUV420P10, dither_type="error_diffusion")

rescale.set_output()
Example #29
0
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])
Example #30
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)