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no clamp. User should clamp values. Also CIELAB L€0...1

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mcDandy
2026-05-11 22:59:02 +02:00
parent 1f3a85dbdc
commit f6dd7f2985
1 changed files with 4 additions and 4 deletions
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more_math/Parser/UnifiedMathVisitor.py
+4 -4
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@@ -3827,8 +3827,8 @@ 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()
return self._linear_to_cielab(r, g, b)
x = self._linear_to_cielab(r, g, b)
return torch.stack((x[..., 0]/100, x[..., 1], x[..., 2]), dim=-1)
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)
@@ -3847,7 +3847,7 @@ class UnifiedMathVisitor(MathExprVisitor):
b_lin = -0.0041960863 * l - 0.7034186147 * m + 1.7076147010 * s
rgb_lin = torch.stack([r_lin, g_lin, b_lin], dim=-1)
return torch.clamp(self._linear_to_srgb(rgb_lin), 0.0, 1.0)
return self._linear_to_srgb(rgb_lin)
def _cielab_to_rgb(self, L, a, b):
delta = 6.0 / 29.0
@@ -3893,4 +3893,4 @@ 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, a, b)
return self._cielab_to_rgb(L*100, a, b)