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-import numpy as np
-from colour import *
-from colour.models import eotf_inverse_sRGB
-from colour.difference import delta_E_CIE1976
-from colour.recovery import XYZ_to_sd_Jakob2019
-from gsoc_common import model_sd, D65, D65_xy, plot_comparison
-
-if __name__ == "__main__":
- # These numbers are taken from Jakob and Hanika's Jupyter notebook.
- RGB_ref = np.array([0.79264853, 0.4, 0.63703843]) # *linear* sRGB
- cc_ref = np.array([ 18.70184886, -13.19804478, 2.12180137])
-
- XYZ = sRGB_to_XYZ(eotf_inverse_sRGB(RGB_ref), D65_xy)
- Lab = XYZ_to_Lab(XYZ, D65_xy)
- print("Target: X=%g, Y=%g, Z=%g, L=%g, a=%g, b=%g" % (*XYZ, *Lab))
-
- reference_sd = model_sd(cc_ref)
- reference_XYZ = sd_to_XYZ(reference_sd, illuminant=D65) / 100
- reference_Lab = XYZ_to_Lab(reference_XYZ, D65_xy)
-
- found_sd, error = XYZ_to_sd_Jakob2019(XYZ, return_error=True)
- found_XYZ = sd_to_XYZ(found_sd, illuminant=D65) / 100
- found_Lab = XYZ_to_Lab(found_XYZ, D65_xy)
-
- print("Our results differ from the reference by ΔE = %g" \
- % delta_E_CIE1976(reference_Lab, found_Lab))
-
- plot_comparison(XYZ, found_sd, "Reference", error, D65)