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-rw-r--r--test_error_function.py29
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diff --git a/test_error_function.py b/test_error_function.py
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index 99e1268..0000000
--- a/test_error_function.py
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-import numpy as np
-from colour import *
-from colour.recovery import error_function_Jakob2019
-from gsoc_common import model_sd, D65_xy
-
-if __name__ == "__main__":
- shape = SpectralShape(360, 830, 1)
- cmfs = STANDARD_OBSERVER_CMFS["CIE 1931 2 Degree Standard Observer"].align(shape)
-
- illuminant = SpectralDistribution(ILLUMINANT_SDS["D65"]).align(shape)
- illuminant_XYZ = sd_to_XYZ(illuminant) / 100
-
- coefficients = np.array([8.70184886, -13.19804478, 2.12180137])
- target = np.array([20, 50, 30])
-
- error, derror_dc, R, XYZ, Lab = error_function_Jakob2019(
- coefficients, target, shape, cmfs,
- illuminant, illuminant_XYZ, True
- )
-
- sd = model_sd(coefficients)
- good_XYZ = sd_to_XYZ(sd, illuminant=illuminant)
- good_Lab = XYZ_to_Lab(good_XYZ / 100, D65_xy)
-
- print("Good XYZ: %g %g %g" % (*good_XYZ,))
- print(" EF XYZ: %g %g %g" % (*XYZ,))
- print("Good Lab: %g %g %g" % (*good_Lab,))
- print(" EF Lab: %g %g %g" % (*Lab,))
- print(" EF* Lab: %g %g %g" % (*XYZ_to_Lab(XYZ / 100, D65_xy),))