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Merge branch 'master' of https://github.com/yametetomete/XVScripts

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fire bingo 2020-05-01 15:39:11 -07:00
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MIT License
Copyright (c) 2020 YameteTomete
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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Magireco was encoded by [Vardë](https://github.com/Ichunjo) and the encode
scripts can be found in his repo:
[TV](https://github.com/Ichunjo/encode-scripts/tree/master/Raws-Maji/Magia%20Record%20%5BWEB%5D),
[BD](https://github.com/Ichunjo/encode-scripts/tree/master/Other%20groups/YameteTomete/Magia%20Record%20%5BBD%5D)

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Vapoursynth scripts for our projects

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Symphogear/XV [BD]/01/ep1_patch.vpy Normal file
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import vapoursynth as vs
import lvsfunc as lvf
import kagefunc as kgf
import mvsfunc as mvf
import vsutil
from ytttfunc.adaptivegrain import adaptive_grain
from ytttfunc.replace_ranges import replace_ranges
from functools import partial
core = vs.core
core.max_cache_size = 1024
LOGO = [(20777, 20942)]
NO_SCALE = [(30836, 33230), (34463, 34553)]
FORCE_SCALE = [(4015, 5159)]
DESCALE_MASK = [(256, 1546)]
DEBAND_HARD = [(4120, 4210)]
DEBAND_HARDER = [(4138, 4174)]
src_ep = core.lsmas.LWLibavSource("bdmv/KIXA_90888/BDMV/STREAM/00003.m2ts")
src_pv = core.lsmas.LWLibavSource("bdmv/KIXA_90888/BDMV/STREAM/00004.m2ts")[:-24]
src = src_ep + src_pv
src = src.fmtc.bitdepth(bits=16)
# mkvmerge --split frames:1547,3900,4215 -o ep1_split_%1d.mkv ep1_bd.mp4
split_src1 = core.ffms2.Source("ep1_split_1.mkv")
split_src2 = core.ffms2.Source("ep1_split_2.mkv")
split_src3 = core.ffms2.Source("ep1_split_3.mkv")
split_src4 = core.ffms2.Source("ep1_split_4.mkv")
denoisechroma = core.knlm.KNLMeansCL(src, d=1, a=2, h=0.45, channels="UV", device_type='gpu', device_id=0)
denoiseluma = core.knlm.KNLMeansCL(src, d=3, a=2, h=0.4, channels="Y", device_type='gpu', device_id=0)
denoise = core.std.ShufflePlanes([denoiseluma, denoisechroma], planes=[0, 1, 2], colorfamily=vs.YUV)
logo_mask = core.imwri.Read("mask_2.png")
logo_mask = logo_mask.resize.Bilinear(format=src.format.id, matrix_s="709")
Y = vsutil.get_y(denoise)
def sraa_frameeval(n, clip):
frame = clip.get_frame(n)
if frame.height < 1080:
rfactor = 2.5
else:
rfactor = 1.5
return lvf.upscaled_sraa(clip.resize.Bicubic(frame.width, frame.height), rfactor=rfactor, h=1080, ar=16/9)
edge = kgf.retinex_edgemask(Y, .0001).std.Binarize(10000)
Ys = lvf.smart_descale(Y, [871, 872, 873], kernel="bicubic", b=1/3, c=1/3, thr=0.003)
Yf = lvf.smart_descale(Y, [871, 872, 873], kernel="bicubic", b=1/3, c=1/3, thr=0)
Yd = replace_ranges(Ys, Yf, FORCE_SCALE)
Yd = Yd.resize.Bicubic(format=vs.GRAY16)
Ysraa = Yd.std.FrameEval(partial(sraa_frameeval, clip=Yd))
Ysraa = Ysraa.resize.Spline36(1920, 1080, format=vs.GRAY16)
Yline = core.std.MaskedMerge(Y, Ysraa, edge)
text_mask = core.std.Expr([Y, Yd.resize.Bicubic(1920, 1080, filter_param_a=1/3, filter_param_b=1/3)], 'x y - abs')
text_mask = vsutil.iterate(text_mask, core.std.Maximum, 4)
text_mask = text_mask.std.Binarize(4000)
Ydmask = core.std.MaskedMerge(Yline, Y, text_mask)
Yfinal = replace_ranges(Yline, Ydmask, DESCALE_MASK)
scaled = core.std.ShufflePlanes([Yfinal, denoise], planes=[0, 1, 2], colorfamily=vs.YUV)
logo_merge = core.std.MaskedMerge(scaled, denoise, logo_mask)
scaled = replace_ranges(scaled, denoise, NO_SCALE)
scaled = replace_ranges(scaled, logo_merge, LOGO)
line = kgf.retinex_edgemask(scaled).std.Binarize(9500).rgvs.RemoveGrain(3).std.Inflate()
nf3kdb = scaled.neo_f3kdb.Deband(range=18, y=32, cb=24, cr=24, grainy=24, grainc=0, output_depth=16, sample_mode=4)
nf3kdb = core.std.MaskedMerge(nf3kdb, scaled, line)
placebo = scaled.placebo.Deband(iterations=3, threshold=3, radius=24, grain=4)
placebo2 = scaled.placebo.Deband(iterations=3, threshold=5, radius=32, grain=4)
deband = replace_ranges(nf3kdb, placebo, DEBAND_HARD)
deband = replace_ranges(deband, placebo2, DEBAND_HARDER)
patch1 = deband[:-1*(split_src2.num_frames+split_src3.num_frames+split_src4.num_frames)] # patch for intro credit mask
patch2 = deband[split_src1.num_frames+split_src2.num_frames:-split_src4.num_frames] # patch for henshin deband
final = patch2
final = adaptive_grain(final, 0.3)
final = core.fmtc.bitdepth(final, bits=10, dmode=3)
final.set_output()

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Symphogear/XV [BD]/01/ep1_patch_patch.vpy Normal file
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import vapoursynth as vs
import lvsfunc as lvf
import kagefunc as kgf
import mvsfunc as mvf
import vsutil
from ytttfunc.adaptivegrain import adaptive_grain
from ytttfunc.replace_ranges import replace_ranges
from functools import partial
def mask_with_ref(clip_a, clip_b, range, rframe):
mask = core.std.Expr([clip_b[rframe], clip_a[rframe]], 'x y - abs')
mask = vsutil.iterate(mask, core.std.Maximum, 4)
mask = mask.std.Binarize(4000)
return replace_ranges(clip_a, core.std.MaskedMerge(clip_a, clip_b, mask), range)
core = vs.core
core.max_cache_size = 1024
LOGO = [(20777, 20942)]
NO_SCALE = [(30836, 33230), (34463, 34553)]
FORCE_SCALE = [(4015, 5159)]
DESCALE_MASK = [(256, 1546)]
DEBAND_HARD = [(4120, 4210)]
DEBAND_HARDER = [(4138, 4174)]
src_ep = core.lsmas.LWLibavSource("bdmv/KIXA_90888/BDMV/STREAM/00003.m2ts")
src_pv = core.lsmas.LWLibavSource("bdmv/KIXA_90888/BDMV/STREAM/00004.m2ts")[:-24]
src = src_ep + src_pv
src = src.fmtc.bitdepth(bits=16)
# mkvmerge --split frames:1547,3900,4215 -o ep1_split_%1d.mkv ep1_bd.mp4
# i r encode good
# mkvmerge --split frames:944,1039 -o ep1_split_1_split_%1d.mkv ep1_split_1.mkv
split_src1_1 = core.ffms2.Source("ep1_split_1_split_1.mkv")
split_src1_2 = core.ffms2.Source("ep1_split_1_split_2.mkv")
split_src1_3 = core.ffms2.Source("ep1_split_1_split_3.mkv")
split_src2 = core.ffms2.Source("ep1_split_2.mkv")
split_src3 = core.ffms2.Source("ep1_split_3.mkv")
split_src4 = core.ffms2.Source("ep1_split_4.mkv")
denoisechroma = core.knlm.KNLMeansCL(src, d=1, a=2, h=0.45, channels="UV", device_type='gpu', device_id=0)
denoiseluma = core.knlm.KNLMeansCL(src, d=3, a=2, h=0.4, channels="Y", device_type='gpu', device_id=0)
denoise = core.std.ShufflePlanes([denoiseluma, denoisechroma], planes=[0, 1, 2], colorfamily=vs.YUV)
logo_mask = core.imwri.Read("mask_2.png")
logo_mask = logo_mask.resize.Bilinear(format=src.format.id, matrix_s="709")
Y = vsutil.get_y(denoise)
def sraa_frameeval(n, clip):
frame = clip.get_frame(n)
if frame.height < 1080:
rfactor = 2.5
else:
rfactor = 1.5
return lvf.upscaled_sraa(clip.resize.Bicubic(frame.width, frame.height), rfactor=rfactor, h=1080, ar=16/9)
edge = kgf.retinex_edgemask(Y, .0001).std.Binarize(10000)
Ys = lvf.smart_descale(Y, [871, 872, 873], kernel="bicubic", b=1/3, c=1/3, thr=0.003)
Yf = lvf.smart_descale(Y, [871, 872, 873], kernel="bicubic", b=1/3, c=1/3, thr=0)
Yd = replace_ranges(Ys, Yf, FORCE_SCALE)
Yd = Yd.resize.Bicubic(format=vs.GRAY16)
Yr = Yd.resize.Bicubic(1920, 1080, filter_param_a=1/3, filter_param_b=1/3)
Ysraa = Yd.std.FrameEval(partial(sraa_frameeval, clip=Yd))
Ysraa = Ysraa.resize.Spline36(1920, 1080, format=vs.GRAY16)
Yline = core.std.MaskedMerge(Y, Ysraa, edge)
text_mask = core.std.Expr([Y, Yr], 'x y - abs')
text_mask = vsutil.iterate(text_mask, core.std.Maximum, 4)
text_mask = text_mask.std.Binarize(4000)
Ydmask = core.std.MaskedMerge(Yline, Y, text_mask)
Ydmask = mask_with_ref(Ydmask, Y, [(943, 1026)], 960)
Yfinal = replace_ranges(Yline, Ydmask, DESCALE_MASK)
scaled = core.std.ShufflePlanes([Yfinal, denoise], planes=[0, 1, 2], colorfamily=vs.YUV)
logo_merge = core.std.MaskedMerge(scaled, denoise, logo_mask)
scaled = replace_ranges(scaled, denoise, NO_SCALE)
scaled = replace_ranges(scaled, logo_merge, LOGO)
line = kgf.retinex_edgemask(scaled).std.Binarize(9500).rgvs.RemoveGrain(3).std.Inflate()
nf3kdb = scaled.neo_f3kdb.Deband(range=18, y=32, cb=24, cr=24, grainy=24, grainc=0, output_depth=16, sample_mode=4)
nf3kdb = core.std.MaskedMerge(nf3kdb, scaled, line)
placebo = scaled.placebo.Deband(iterations=3, threshold=3, radius=24, grain=4)
placebo2 = scaled.placebo.Deband(iterations=3, threshold=5, radius=32, grain=4)
deband = replace_ranges(nf3kdb, placebo, DEBAND_HARD)
deband = replace_ranges(deband, placebo2, DEBAND_HARDER)
patchpatch = deband[split_src1_1.num_frames:-1*(split_src1_3.num_frames+split_src2.num_frames+split_src3.num_frames+split_src4.num_frames)] # uncooporative intro credit
final = patchpatch
final = adaptive_grain(final, 0.3)
final = core.fmtc.bitdepth(final, bits=10, dmode=3)
final.set_output()

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Symphogear/XV [BD]/03/ep3.vpy
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@ -76,7 +76,7 @@ bm3d = core.std.ShufflePlanes([w2x, bm3d], planes=[0, 1, 2], colorfamily=vs.YUV)
denoise_2 = replace_ranges(scaled, bm3d, W2X_DENOISE)
line = kgf.retinex_edgemask(denoise_2).std.Binarize(9500).rgvs.RemoveGrain(3).std.Inflate()
deband = denoise_2.neo_f3kdb.Deband(range=18, y=32, cb=24, cr=24, grainy=24, grainc=0, output_depth=16, sample_mode=4)
deband = denoise_2.neo_f3kdb.Deband(range=18, y=32, cb=24, cr=24, grainy=24, grainc=0, output_depth=16, sample_mode=4, keep_tv_range=True)
deband = core.std.MaskedMerge(deband, denoise_2, line)
# mask OP/ED credits, stolen from varde

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Symphogear/XV [BD]/04/ep4.vpy
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@ -79,7 +79,7 @@ bm3d = core.std.ShufflePlanes([w2x, bm3d], planes=[0, 1, 2], colorfamily=vs.YUV)
denoise_2 = replace_ranges(scaled, bm3d, W2X_DENOISE)
line = kgf.retinex_edgemask(denoise_2).std.Binarize(9500).rgvs.RemoveGrain(3).std.Inflate()
nf3kdb = denoise_2.neo_f3kdb.Deband(range=18, y=32, cb=24, cr=24, grainy=24, grainc=0, output_depth=16, sample_mode=4)
nf3kdb = denoise_2.neo_f3kdb.Deband(range=18, y=32, cb=24, cr=24, grainy=24, grainc=0, output_depth=16, sample_mode=4, keep_tv_range=True)
nf3kdb = core.std.MaskedMerge(nf3kdb, denoise_2, line)
placebo = denoise_2.placebo.Deband(iterations=3, threshold=3, radius=24, grain=4)
placebo2 = denoise_2.placebo.Deband(iterations=3, threshold=5, radius=32, grain=4)

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01-02:
x264 - --demuxer y4m --input-depth 10 --output-depth 10 --colormatrix bt709 --colorprim bt709 --transfer bt709 --preset slower --crf 16 --bframes 16 --aq-mode 3 --aq-strength 0.85 --qcomp 0.70 --no-dct-decimate --no-fast-pskip --psy-rd 0.85:0.0 --merange 20
03-13:
x264 - --demuxer y4m --input-depth 10 --output-depth 10 --colormatrix bt709 --colorprim bt709 --transfer bt709 --preset slower --crf 16 --bframes 16 --aq-mode 3 --aq-strength 0.85 --qcomp 0.70 --no-dct-decimate --no-fast-pskip --psy-rd 0.85:0.0 --merange 20 --deblock -1:-1