def curve_to_lut(colorspace, gamma, outlutfile, out_type=None, out_format=None,
                 input_range=None, output_range=None, out_bit_depth=None,
                 out_cube_size=None, verbose=False, direction=Direction.ENCODE,
                 preset=None, overwrite_preset=False,
                 process_input_range=False):
    # get colorspace function
    if colorspace is None and gamma is None:
        raise AttributeError("A colorspace or a gamma should be specified")
    if colorspace is not None and gamma is not None:
        raise AttributeError("Choose between a colorspace or a gamma")
    elif gamma is not None:
        # gamma mode
        if direction == Direction.DECODE:
            gradation = lambda value: gamma_to_lin(value, gamma)
            title = "Gamma{0}_to_lin".format(gamma)
        else:
            gradation = lambda value: lin_to_gamma(value, gamma)
            title = "Lin_to_gamma{0}".format(gamma)
    else:
        # colorspace mode
        try:
            colorspace_obj = dict(COLORSPACES.items() +
                                  PRIVATE_COLORSPACES.items())[colorspace]
        except KeyError:
            raise CurveToLUTException(("Unsupported {0} "
                                       "Colorspace!").format(colorspace))
        if direction == Direction.DECODE:
            gradation = colorspace_obj.decode_gradation
            title = "{0}_to_lin".format(colorspace)
        else:
            gradation = colorspace_obj.encode_gradation
            title = "Lin_to_{0}".format(colorspace)
    # get preset and write function
    if preset:
        write_function = get_write_function(preset, overwrite_preset,
                                            out_type, out_format,
                                            input_range,
                                            output_range,
                                            out_bit_depth,
                                            out_cube_size,
                                            verbose)
    elif out_type is None or out_format is None:
        raise CurveToLUTException("Specify out_type/out_format or a preset.")
    else:
        preset, write_function = get_preset_and_write_function(out_type,
                                                               out_format,
                                                               input_range,
                                                               output_range,
                                                               out_bit_depth,
                                                               out_cube_size)
    if preset[presets.TYPE] == '3D':
        print_warning_message(("Gradations and gamma functions are 1D / 2D"
                               " transformations. Baking them in a 3D LUT "
                               "may not be efficient. Are you sure ?"))
    # process file output
    if os.path.isdir(outlutfile):
        filename = "{0}{1}".format(title,
                                   preset[presets.EXT])
        outlutfile = os.path.join(outlutfile, filename)
    else:
        try:
            check_extension(outlutfile, preset[presets.EXT])
            outlutfile = outlutfile
        except LUTException as error:
            raise CurveToLUTException(("Directory doesn't exist "
                                       "or {0}").format(error))
    preset[presets.TITLE] = title
    if process_input_range:
        if colorspace:
            preset[presets.IN_RANGE] = get_input_range(colorspace_obj,
                                                       direction,
                                                       8)
        else:
            raise CurveToLUTException(("--process-input-range must be used"
                                       " with --colorspace."))
    if verbose:
        print "{0} will be written in {1}.".format(title, outlutfile)
        print "Final setting:\n{0}".format(presets.string_preset(preset))
    # write
    message = write_function(gradation, outlutfile, preset)
    if verbose:
        print_success_message(message)
Export a LUT from a colorspace gradation function
dataset/ETHPy150Open mikrosimage/ColorPipe-tools/lutLab/curve_to_lut.py/curve_to_lut