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normalise cielab and oklab to the same scale

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mcDandy
2026-05-11 23:20:34 +02:00
parent dfaae09506
commit 81d5b3f6a7
1 changed files with 2 additions and 3 deletions
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more_math/Parser/UnifiedMathVisitor.py
+2 -3
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@@ -3827,8 +3827,7 @@ class UnifiedMathVisitor(MathExprVisitor):
r = self._promote_to_tensor((yield ctx.expr(0))).float()
g = self._promote_to_tensor((yield ctx.expr(1))).float()
b = self._promote_to_tensor((yield ctx.expr(2))).float()
x = self._linear_to_cielab(r, g, b)
return torch.stack((x[..., 0]/100, x[..., 1], x[..., 2]), dim=-1)
return self._linear_to_cielab(r, g, b)/100
def _linear_to_srgb(self, c):
return torch.where(c <= 0.0031308, 12.92 * c, 1.055 * torch.pow(c, 1.0 / 2.4) - 0.055)
@@ -3893,4 +3892,4 @@ class UnifiedMathVisitor(MathExprVisitor):
a = self._promote_to_tensor((yield ctx.expr(1))).float()
b = self._promote_to_tensor((yield ctx.expr(2))).float()
return self._cielab_to_rgb(L*100, a, b)
return self._cielab_to_rgb(L*100, a*100, b*100)