tensura: s2: tv: 16
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Tensei Shitara Slime Datta Ken/S2 [TV]/16/16.vpy
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Tensei Shitara Slime Datta Ken/S2 [TV]/16/16.vpy
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import vapoursynth as vs
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from tensura_common import (TenSuraS2Config, TenSuraS2AODSource, antialias, cr_prefilter,
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deband, dehalo, denoise, edgefix, finalize, regrain)
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from yt_common.automation import SelfRunner
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from yt_common.chapters import Chapter
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from yt_common.video import Zone
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from lvsfunc.mask import BoundingBox
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from lvsfunc.dehardsub import HardsubASS, HardsubMask, bounded_dehardsub
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from lvsfunc.types import Range
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from lvsfunc.util import replace_ranges, normalize_ranges
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from typing import List, Optional, Tuple
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import os
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DESC: str = os.path.basename(os.path.splitext(__file__)[0])
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CONFIG: TenSuraS2Config = TenSuraS2Config(DESC)
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SOURCE: TenSuraS2AODSource = TenSuraS2AODSource(CONFIG, [(24, -24)])
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OP: Optional[int] = 2446
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CHAPTERS: List[Chapter] = [
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Chapter("Intro", 0),
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Chapter("OP", 2446),
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Chapter("Part A", 4603),
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Chapter("Part B", 16855),
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Chapter("ED", 31767),
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Chapter("Next", 33925),
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]
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DEHARDSUB: List[HardsubMask] = [
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HardsubASS("./ger.ass"),
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]
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NOD3: List[Range] = [
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]
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if OP is not None:
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NOD3 += [
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(OP+1520, OP+1576)
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]
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NODEN: List[Range] = [
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(28026, 28135),
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(28655, 29052),
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(30509, 30661),
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(30686, 30907),
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(33925, None),
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]
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if OP is not None:
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NODEN += [
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(OP+1385, OP+1519)
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]
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ZONES: List[Zone] = [
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]
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ZONES += [Zone(r, 0.75) for r in normalize_ranges(SOURCE.source(), NOD3 + NODEN)]
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AA_STRONG: List[Range] = [
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]
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SANGNOM: List[Tuple[Range, List[BoundingBox]]] = [
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]
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core = vs.core
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def filter_basic() -> vs.VideoNode:
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aod, ref = SOURCE.dhs_source()
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return finalize(bounded_dehardsub(aod[0], ref, DEHARDSUB))
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def filter() -> vs.VideoNode:
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aod, ref = SOURCE.dhs_source()
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pre = cr_prefilter(ref)
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src = bounded_dehardsub(aod[0], pre, DEHARDSUB)
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ef = edgefix(src)
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den = denoise(ef)
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den = replace_ranges(den, src, NODEN)
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deb = deband(den)
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deb = replace_ranges(deb, src, NOD3)
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aa = antialias(deb, strong=AA_STRONG, sangnom=SANGNOM)
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dh = dehalo(aa)
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dh = replace_ranges(dh, aa, NOD3 + NODEN)
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grain = regrain(dh)
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final = finalize(grain)
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src.set_output(1)
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final.set_output(0)
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return final
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if __name__ == "__main__":
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SelfRunner(CONFIG, SOURCE, filter, filter_basic, chapters=CHAPTERS, zones=ZONES)
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else:
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filter()
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@ -8,11 +8,23 @@ from vardefunc.deband import dumb3kdb
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from vsutil import depth
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from vsutil import depth
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from typing import Any, Dict
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core = vs.core
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core = vs.core
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def _nnedi3_rescale(clip: vs.VideoNode, width: int, height: int) -> vs.VideoNode:
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nnargs: Dict[str, Any] = dict(field=0, dh=True, nsize=4, nns=4, qual=2, pscrn=2)
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nn = clip.resize.Point(1440, 810, format=vs.GRAY16).std.Transpose() \
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.nnedi3.nnedi3(**nnargs) \
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.std.Transpose() \
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.nnedi3.nnedi3(**nnargs)
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return nn.resize.Bicubic(width, height, filter_param_a=0, filter_param_b=1/2,
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src_top=0.5, src_left=0.5, format=vs.GRAYS)
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def cr_prefilter(clip: vs.VideoNode) -> vs.VideoNode:
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def cr_prefilter(clip: vs.VideoNode) -> vs.VideoNode:
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rescaled = depth(descale(clip, height=810, kernel=Bicubic(b=0, c=1/2)), 16)
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rescaled = depth(descale(clip, height=810, kernel=Bicubic(b=0, c=1/2), upscaler=_nnedi3_rescale), 16)
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return rescaled
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return rescaled
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