""" Some code that will save virtual macbeth charts that show the difference between optimised matrices and non optimised matrices The function creates an image that is 1550 by 1050 pixels wide, and fills it with patches which are 200x200 pixels in size Each patch contains the ideal color, the color from the original matrix, and the color from the final matrix _________________ | | | Ideal Color | |_______________| | Old | new | | Color | Color | |_______|_______| Nice way of showing how the optimisation helps change the colors and the color matricies """ import numpy as np from PIL import Image def visualise_macbeth_chart(macbeth_rgb, original_rgb, new_rgb, output_filename): image = np.zeros((1050, 1550, 3), dtype=np.uint8) colorindex = -1 for y in range(6): for x in range(4): # Creates 6 x 4 grid of macbeth chart colorindex += 1 xlocation = 50 + 250 * x # Means there is 50px of black gap between each square, more like the real macbeth chart. ylocation = 50 + 250 * y for g in range(200): for i in range(100): image[xlocation + i, ylocation + g] = macbeth_rgb[colorindex] xlocation = 150 + 250 * x ylocation = 50 + 250 * y for i in range(100): for g in range(100): image[xlocation + i, ylocation + g] = original_rgb[colorindex] # Smaller squares below to compare the old colors with the new ones xlocation = 150 + 250 * x ylocation = 150 + 250 * y for i in range(100): for g in range(100): image[xlocation + i, ylocation + g] = new_rgb[colorindex] img = Image.fromarray(image, 'RGB') img.save(str(output_filename) + 'Generated Macbeth Chart.png') hone Jacopo Mondi's clone of libcameragit repository hosting on libcamera.org

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path: root/subprojects/pybind11.wrap

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# SPDX-License-Identifier: CC0-1.0

[wrap-git]
url = https://github.com/pybind/pybind11.git
# This is the head of 'smart_holder' branch
revision = aebdf00cd060b871c5a1e0c2cf4a333503dd0431
depth = 1
patch_directory = pybind11

[provide]
pybind11 = pybind11_dep