Initial Dansori EQ workspace
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from __future__ import annotations
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import argparse
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from pathlib import Path
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from PIL import Image, ImageFilter
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def clean_alpha(src: Path, dst: Path) -> tuple[int, int]:
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img = Image.open(src).convert("RGBA")
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w, h = img.size
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px = img.load()
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alpha = img.getchannel("A")
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solid = alpha.point(lambda a: 255 if a > 8 else 0)
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inner = solid.filter(ImageFilter.MinFilter(21))
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edge = Image.new("L", img.size, 0)
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edge.paste(solid)
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edge_px = edge.load()
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inner_px = inner.load()
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removed = 0
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softened = 0
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for y in range(h):
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upper_zone = y < int(h * 0.55)
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for x in range(w):
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r, g, b, a = px[x, y]
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if a == 0:
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continue
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near_edge = edge_px[x, y] and not inner_px[x, y]
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if not near_edge and a > 225:
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continue
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bright = (r + g + b) / 3
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chroma = max(r, g, b) - min(r, g, b)
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semi = a < 245
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neutral_matte = semi and bright > 118 and chroma < 82
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pink_or_cyan_matte = (
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semi
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and upper_zone
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and bright > 130
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and (
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(r > 135 and b > 130 and g > 80)
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or (g > 135 and b > 130 and r < 175)
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)
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and chroma < 135
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)
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if near_edge and (neutral_matte or pink_or_cyan_matte):
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px[x, y] = (r, g, b, 0)
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removed += 1
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elif semi and neutral_matte:
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px[x, y] = (r, g, b, int(a * 0.2))
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softened += 1
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dst.parent.mkdir(parents=True, exist_ok=True)
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img.save(dst)
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return removed, softened
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def main() -> None:
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parser = argparse.ArgumentParser()
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parser.add_argument("paths", nargs="+", type=Path)
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parser.add_argument("--in-place", action="store_true")
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args = parser.parse_args()
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for path in args.paths:
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dst = path if args.in_place else path.with_name(path.stem + "_clean.png")
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removed, softened = clean_alpha(path, dst)
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print(f"{path} -> {dst} removed={removed} softened={softened}")
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if __name__ == "__main__":
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main()
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