colour.characterisation.optimisation_factory_Jzazbz#
- colour.characterisation.optimisation_factory_Jzazbz() Tuple[NDArrayFloat, Callable, Callable, Callable] [source]#
Produce the objective function and CIE XYZ colourspace to optimisation colourspace/colour model function based on the \(J_za_zb_z\) colourspace.
The objective function returns the euclidean distance between the training data RGB tristimulus values and the training data CIE XYZ tristimulus values** in the \(J_za_zb_z\) colourspace.
It implements whitepoint preservation as a post-optimisation step.
- Returns:
\(x_0\) initial values, objective function, CIE XYZ colourspace to \(J_za_zb_z\) colourspace function and finaliser function.
- Return type:
Examples
>>> optimisation_factory_Jzazbz() (array([ 1., 0., 0., 1., 0., 0.]), <function optimisation_factory_Jzazbz.<locals>.objective_function at 0x...>, <function optimisation_factory_Jzazbz.<locals>.XYZ_to_optimization_colour_model at 0x...>, <function optimisation_factory_Jzazbz.<locals>.finaliser_function at 0x...>)