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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)
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