A test that computes coefficients for many colors, covering the entire sRGB gamut.

1 files changed, 24 insertions, 0 deletions

diff --git a/test_bad_convergence.py b/test_bad_convergence.py
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index 0000000..5eff0d2
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+++ b/test_bad_convergence.py
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+import numpy as np
+from colour import *
+from jakob_hanika import jakob_hanika, model_sd
+from test_colorchecker import plot_comparison
+
+
+
+illuminant = "D65"
+ill_xy = ILLUMINANTS["CIE 1931 2 Degree Standard Observer"][illuminant]
+ill_sd = SpectralDistribution(ILLUMINANTS_SDS[illuminant])
+
+
+
+# A set of inputs that make the Nelder-Mead solver work really hard.
+# This might not be interesting in future versions of jakob_hanika.py, once
+# the solver is more reliable. Make sure you've checked out the latest commit
+# that updates *this* file.
+if __name__ == "__main__":
+	XYZ = np.array([0.00263241, 0.00174905, 0.00092602])
+	ccp0 = np.array([5.11263599, -2.65344447, -2.37301856])
+
+	ccp, error = jakob_hanika(XYZ, ill_sd, ill_xy, ccp0)
+	if error > 0.1:
+		plot_comparison(XYZ, model_sd(ccp), "Target", error, ill_sd)