412# SPDX-License-Identifier: BSD-2-Clause
#
# Copyright (C) 2019, Raspberry Pi Ltd
#
# ctt_ccm.py - camera tuning tool for CCM (colour correction matrix)

from ctt_image_load import *
from ctt_awb import get_alsc_patches
import colors
from scipy.optimize import minimize
from ctt_visualise import visualise_macbeth_chart
import numpy as np
"""
takes 8-bit macbeth chart values, degammas and returns 16 bit
"""

'''
This program has many options from which to derive the color matrix from.
The first is average. This minimises the average delta E across all patches of
the macbeth chart. Testing across all cameras yeilded this as the most color
accurate and vivid. Other options are avalible however.
Maximum minimises the maximum Delta E of the patches. It iterates through till
a minimum maximum is found (so that there is
not one patch that deviates wildly.)
This yields generally good results but overall the colors are less accurate
Have a fiddle with maximum and see what you think.
The final option allows you to select the patches for which to average across.
This means that you can bias certain patches, for instance if you want the
reds to be more accurate.
'''

matrix_selection_types = ["average", "maximum", "patches"]
typenum = 0  # select from array above, 0 = average, 1 = maximum, 2 = patches
test_patches = [1, 2, 5, 8, 9, 12, 14]

'''
Enter patches to test for. Can also be entered twice if you
would like twice as much bias on one patch.
'''


def degamma(x):
    x = x / ((518







































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