466 lines
218 KiB
Plaintext
466 lines
218 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "71118fae-2b09-44f2-a874-0120854f98e5",
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"metadata": {},
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"source": [
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"## Design considerations\n",
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"The principle here is to fit a cubic rational bezier determine the chroma curve. We use L-C boundary control points $(0, 0)$, $(100, 0)$, with a single mid-point $(L^*, C_{L^*}^*)$, where $L^*$ is the lightness at which the *maximum, maximum* chroma $C_{L^*}^*$ occurs.\n",
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"\n",
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"We allow some slight adjustments to this scheme, like shifting the $L^*$ point and changing the weight of the mid-point in the bezier curve (producing sharper, more pointed curves). The general aim is to fit the existing v1.1.1 chroma curves with an explainable continuous model, which of course can be used to generate color points for any reqested lightness levels.\n",
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"\n",
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"### Future considerations\n",
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"I like the idea of the **MCL** scheme, not used here. This scheme used a standardized lightness midpoint where chroma was maximized (for each accent), but did not fix the curve itself. So accent chroma curves had different heights, but they rise and fall in the same places along the lightness spectrum. Each step can be seen to make the *same percentage jump* to the maximum, unifying the movements across accents (e.g., if yellow has max chroma of 0.1 and red of 0.4, the chroma value at lightness L is the same x% of each accent's respective chroma max). This was a step in the right direction compared to **UCC**, which used an *identical* chroma curve for all accents. So while **MCL** preserved more color identity, it still had distinct effects like washing out the orange too early. But I *do* like the idea of being able to have unified justification for the chroma curve jumps across all accents, and while **QBR** (below) is a faithful v111 reproduction, the curves are pretty distinct in terms of shape (due to the allowed weighting; some are sharper, some smoother).\n",
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"\n",
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"We can also constrain by `Lab` distance: at `L60` or so, we could look at `Lab` distance from the grey `L20` reference background and make sure all accents have the same distance (which is basically just trying to get a uniform contrast ratio). We might also look at `Lab` distance *between* accents and make sure that *relative distinction* is preserved as we move across lightness levels.\n",
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"\n",
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"TODO: symmetry around 45 -- 60, no matter what. Or decide on new distances, but flipping light/dark should have the same contrast. If that doesn't line up with lightness, so be it; need to find either Lab distance or whatever makes that symmetric."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "cd89e94a-d2f6-4c91-9c27-bdae00378834",
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"from pathlib import Path\n",
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"from functools import cache\n",
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"\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"from scipy.interpolate import interp1d, CubicSpline, BSpline\n",
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"\n",
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"from coloraide import Color\n",
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"\n",
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"@cache\n",
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"def max_C_Lh(L, h, space='srgb', eps=1e-6, tol=1e-9):\n",
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" '''\n",
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" Binary search for max chroma at fixed lightness and hue\n",
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"\n",
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" Parameters:\n",
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" L: lightness percentage\n",
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" '''\n",
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" def C_in_gamut(C):\n",
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" return Color('oklch', [L/100, C, h]).convert(space).in_gamut(tolerance=tol)\n",
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"\n",
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" lo, hi = 0.0, 0.1\n",
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" while C_in_gamut(hi): hi *= 2\n",
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" while hi - lo > eps:\n",
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" m = (lo + hi) / 2\n",
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" lo, hi = (m, hi) if C_in_gamut(m) else (lo, m)\n",
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"\n",
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" Cmax = lo\n",
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" c_oklch = Color('oklch', [L, Cmax, h])\n",
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" c_srgb = c_oklch.convert('srgb')\n",
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" \n",
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" return Cmax\n",
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"\n",
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"def quad_bezier_rational(P0, P1, P2, w, t):\n",
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" t = np.asarray(t)[:, None]\n",
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" num = (1-t)**2*P0 + 2*w*(1-t)*t*P1 + t**2*P2\n",
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" den = (1-t)**2 + 2*w*(1-t)*t + t**2\n",
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" \n",
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" return num/den\n",
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" \n",
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"def bezier_y_at_x(P0, P1, P2, w, x_query, n=400):\n",
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" t = np.linspace(0, 1, n)\n",
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" B = quad_bezier_rational(P0, P1, P2, w, t)\n",
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" x_vals, y_vals = B[:, 0], B[:, 1]\n",
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" \n",
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" return np.interp(x_query, x_vals, y_vals)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "c7d2d1d9-dad9-4f8f-8417-c22d38f089f0",
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"metadata": {},
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"outputs": [],
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"source": [
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"# SET LIGHTNESS CONTROL POINTS\n",
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"# L_points = [10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 98]\n",
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"L_points = list(range(10, 98+1))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "e7a0fba9-d5e7-4493-8bd5-58d3f7c62304",
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"metadata": {},
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"outputs": [],
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"source": [
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"# FIXED MONOBIOME PARAMETERS\n",
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"L_resolution = 5 # step size along lightness dim\n",
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"L_space = np.arange(0, 100+L_resolution, L_resolution)\n",
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"\n",
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"monotone_C_map = {\n",
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" \"alpine\": 0,\n",
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" \"badlands\": 0.011,\n",
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" \"chaparral\": 0.011,\n",
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" \"savanna\": 0.011,\n",
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" \"grassland\": 0.011,\n",
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" \"tundra\": 0.011,\n",
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"}\n",
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"\n",
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"h_weights = {\n",
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" \"red\": 3.5,\n",
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" \"orange\": 3.5,\n",
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" \"yellow\": 0.7,\n",
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" \"green\": 0.95,\n",
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" \"blue\": 1.0,\n",
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"}\n",
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"h_offsets = {\n",
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" \"red\": -1, # -5,\n",
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" \"orange\": 0, #-2,\n",
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" \"yellow\": 0,\n",
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" \"green\": 0,\n",
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" \"blue\": 0,\n",
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"}\n",
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"\n",
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"monotone_h_map = {\n",
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" \"alpine\": 0,\n",
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" \"badlands\": 29,\n",
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" \"chaparral\": 62.5,\n",
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" \"savanna\": 104,\n",
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" \"grassland\": 148,\n",
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" \"tundra\": 262,\n",
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"}\n",
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"accent_h_map = {\n",
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" \"red\": 29,\n",
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" \"orange\": 62.5,\n",
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" \"yellow\": 104,\n",
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" \"green\": 148,\n",
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" \"blue\": 262,\n",
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"}\n",
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"h_map = {**monotone_h_map, **accent_h_map}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "46b619a1-9118-4576-9100-c1265ccd15f7",
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"metadata": {},
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"outputs": [],
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"source": [
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"# compute C max values over each point in L space\n",
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"h_Lspace_Cmax = {\n",
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" h_str: [max_C_Lh(_L, _h) for _L in L_space]\n",
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" for h_str, _h in h_map.items()\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "0da9d0b5-fa60-4dd7-aa55-0b3c81e503fd",
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"metadata": {},
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"outputs": [],
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"source": [
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"# compute *unbounded* chroma curves for all hues\n",
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"h_L_points_C = {}\n",
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"h_ctrl_L_C = {}\n",
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"\n",
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"for h_str, _h in monotone_h_map.items():\n",
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" h_L_points_C[h_str] = [monotone_C_map[h_str]]*len(L_points)\n",
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" \n",
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"for h_str, _h in accent_h_map.items():\n",
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" Lspace_Cmax = h_Lspace_Cmax[h_str]\n",
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" \n",
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" # get L value of max chroma; will be a bezier control\n",
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" L_Cmax_idx = np.argmax(Lspace_Cmax)\n",
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" L_Cmax = L_space[L_Cmax_idx]\n",
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"\n",
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" # offset control point by any preset x-shift\n",
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" L_Cmax += h_offsets[h_str]\n",
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"\n",
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" # and get max C at the L offset\n",
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" Cmax = max_C_Lh(L_Cmax, _h)\n",
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"\n",
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" # set 3 control points\n",
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" p_0 = np.array([0, 0])\n",
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" p_Cmax = np.array([L_Cmax, Cmax])\n",
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" p_100 = np.array([100, 0])\n",
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" \n",
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" B_L_points = bezier_y_at_x(p_0, p_Cmax, p_100, h_weights.get(h_str, 1), L_points)\n",
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" h_L_points_C[h_str] = B_L_points\n",
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" h_ctrl_L_C[h_str] = np.vstack([p_0, p_Cmax, p_100])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "56fd3826-c2b7-480e-ac42-a72e96c045f4",
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"metadata": {},
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"outputs": [],
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"source": [
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"# compute full set of final chroma curves\n",
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"h_LC_color_map = {}\n",
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"h_L_points_Cstar = {}\n",
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"\n",
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"for h_str, L_points_C in h_L_points_C.items():\n",
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" _h = h_map[h_str]\n",
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" h_L_points_Cstar[h_str] = [\n",
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" min(_C, max_C_Lh(_L, _h))\n",
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" for _L, _C in zip(L_points, L_points_C)\n",
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" ]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "3c257cdb-7cb4-4aed-b1a4-bb560f4848b0",
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"metadata": {},
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"outputs": [],
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"source": [
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"# put together objects for output formats\n",
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"toml_lines = []\n",
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"oklch_hL_dict = {}\n",
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"\n",
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"for h_str, L_points_Cstar in h_L_points_Cstar.items():\n",
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" _h = h_map[h_str]\n",
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" toml_lines.append(f\"[{h_str}]\")\n",
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" oklch_hL_dict[h_str] = {}\n",
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" \n",
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" for _L, _C in zip(L_points, L_points_Cstar):\n",
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" oklch = Color('oklch', [_L/100, _C, _h])\n",
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" srgb = oklch.convert('srgb')\n",
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" \n",
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" hex_str = srgb.to_string(hex=True)\n",
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" oklch_str = oklch.to_string(percent=False)\n",
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" \n",
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" toml_lines.append(f'l{_L} = \"{hex_str}\"')\n",
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" oklch_hL_dict[h_str][_L] = oklch_str\n",
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" \n",
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" toml_lines.append(\"\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "281de03a-1ba4-419a-a991-1a9be2a66667",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 400x800 with 6 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"ax_h_map = {}\n",
|
|
"fig, axes = plt.subplots(\n",
|
|
" len(monotone_h_map),\n",
|
|
" 1,\n",
|
|
" sharex=True,\n",
|
|
" sharey=True,\n",
|
|
" figsize=(4, 8)\n",
|
|
")\n",
|
|
"\n",
|
|
"for i, h_str in enumerate(h_L_points_Cstar):\n",
|
|
" _h = h_map[h_str]\n",
|
|
" L_points_Cstar = h_L_points_Cstar[h_str]\n",
|
|
" L_space_Cmax = h_Lspace_Cmax[h_str]\n",
|
|
" \n",
|
|
" if _h not in ax_h_map:\n",
|
|
" ax_h_map[_h] = axes[i]\n",
|
|
" ax = ax_h_map[_h]\n",
|
|
"\n",
|
|
" # plot Cmax and Cstar\n",
|
|
" ax.plot(L_space, L_space_Cmax, c=\"b\", alpha=0.2)\n",
|
|
" ax.plot(L_points, L_points_Cstar, alpha=0.7)\n",
|
|
" \n",
|
|
" ax.title.set_text(f\"Hue [${_h}$]\")\n",
|
|
" \n",
|
|
"axes[-1].set_xlabel(\"Lightness (%)\")\n",
|
|
"axes[-1].set_xticks([L_points[0], L_points[-1]])\n",
|
|
"\n",
|
|
"fig.tight_layout()\n",
|
|
"fig.subplots_adjust(top=0.9)\n",
|
|
"\n",
|
|
"plt.suptitle(\"$C^*$ curves for hue groups\")\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"id": "b52e351a-fa3c-4d60-877c-75a938b52289",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 600x1000 with 6 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"v111_L_space = list(range(15, 95+1, 5))\n",
|
|
"v111_hC_points = {\n",
|
|
" \"red\": [0.058, 0.074, 0.092, 0.11, 0.128, 0.147, 0.167, 0.183, 0.193, 0.193, 0.182, 0.164, 0.14, 0.112, 0.081, 0.052, 0.024],\n",
|
|
" \"orange\": [0.030, 0.038, 0.046, 0.058, 0.07, 0.084, 0.1, 0.114, 0.125, 0.134, 0.138, 0.136, 0.128, 0.112, 0.092, 0.064, 0.032],\n",
|
|
" \"yellow\": [0.02, 0.024, 0.03, 0.036, 0.044, 0.05, 0.06, 0.068, 0.076, 0.082, 0.088, 0.088, 0.086, 0.082, 0.072, 0.058, 0.04],\n",
|
|
" \"green\": [0.0401, 0.048, 0.056, 0.064, 0.072, 0.08, 0.09, 0.098, 0.104, 0.108, 0.11, 0.108, 0.102, 0.094, 0.084, 0.072, 0.05],\n",
|
|
" \"blue\": [0.06, 0.072, 0.084, 0.096, 0.106, 0.116, 0.124, 0.13, 0.132, 0.128, 0.122, 0.11, 0.096, 0.08, 0.064, 0.044, 0.023],\n",
|
|
"}\n",
|
|
"\n",
|
|
"ax_h_map = {}\n",
|
|
"fig, axes = plt.subplots(\n",
|
|
" len(monotone_h_map),\n",
|
|
" 1,\n",
|
|
" sharex=True,\n",
|
|
" sharey=True,\n",
|
|
" figsize=(6, 10)\n",
|
|
")\n",
|
|
"\n",
|
|
"for i, h_str in enumerate(h_L_points_Cstar):\n",
|
|
" _h = h_map[h_str]\n",
|
|
" L_points_Cstar = h_L_points_Cstar[h_str]\n",
|
|
" L_space_Cmax = h_Lspace_Cmax[h_str]\n",
|
|
" \n",
|
|
" if _h not in ax_h_map:\n",
|
|
" ax_h_map[_h] = axes[i]\n",
|
|
" ax = ax_h_map[_h]\n",
|
|
"\n",
|
|
" # plot Cmax and Cstar\n",
|
|
" ax.plot(L_space, L_space_Cmax, c=\"b\", alpha=0.2)\n",
|
|
" ax.plot(L_points, L_points_Cstar, alpha=0.7)\n",
|
|
"\n",
|
|
" if h_str in v111_hC_points:\n",
|
|
" ax.scatter(v111_L_space, v111_hC_points[h_str], s=4)\n",
|
|
" \n",
|
|
" if h_str in h_ctrl_L_C:\n",
|
|
" cpts = h_ctrl_L_C[h_str]\n",
|
|
" cpt_x, cpt_y = cpts[:, 0], cpts[:, 1]\n",
|
|
" h_w = h_weights.get(h_str, 1)\n",
|
|
" \n",
|
|
" P0, P1, P2 = cpts[0], cpts[1], cpts[2]\n",
|
|
" d0 = 2 * h_w * (P1 - P0)\n",
|
|
" d2 = 2 * h_w * (P2 - P1)\n",
|
|
"\n",
|
|
" handle_scale = 0.25\n",
|
|
" H0 = P0 + handle_scale * d0\n",
|
|
" H2 = P2 - handle_scale * d2\n",
|
|
" \n",
|
|
" # ax.plot([P0[0], H0[0]], [P0[1], H0[1]], color='tab:blue', lw=1)\n",
|
|
" # ax.plot([P2[0], H2[0]], [P2[1], H2[1]], color='tab:orange', lw=1)\n",
|
|
" \n",
|
|
" ax.plot(cpt_x, cpt_y, '--', color='gray', lw=1, label='control polygon')\n",
|
|
" ax.scatter(cpt_x, cpt_y, color='red', zorder=5, s=2)\n",
|
|
" \n",
|
|
" ax.title.set_text(f\"Hue [${_h}$]\")\n",
|
|
" \n",
|
|
"axes[-1].set_xlabel(\"Lightness (%)\")\n",
|
|
"axes[-1].set_xticks([L_points[0], 50, 65, L_points[-1]])\n",
|
|
"\n",
|
|
"fig.tight_layout()\n",
|
|
"fig.subplots_adjust(top=0.9)\n",
|
|
"\n",
|
|
"plt.suptitle(\"$C^*$ curves for hue groups + v111 5% lightness\")\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"id": "1e2a1a5a-7724-459a-9a1e-69ab0f421c3b",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 800x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig, ax = plt.subplots(1, 1, figsize=(8, 6))\n",
|
|
"\n",
|
|
"for h_str in h_L_points_Cstar:\n",
|
|
" if h_str not in accent_h_map:\n",
|
|
" continue\n",
|
|
" ax.fill_between(L_points, h_L_points_Cstar[h_str], alpha=0.5, color=h_str)\n",
|
|
" \n",
|
|
"ax.set_xlabel(\"Lightness (%)\")\n",
|
|
"ax.set_xticks([L_points[0], 45, 50, 55, 60, 65, 70, L_points[-1]])\n",
|
|
"ax.set_xlim(45, 70)\n",
|
|
"fig.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"id": "ef0dd0d9-a267-494f-b9c6-90d9ab0e6564",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"[TOML] written\n",
|
|
"[JSON] written\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# write files -- QBR = \"quadratic bezier rational\"\n",
|
|
"PALETTE_DIR = \"palettes\"\n",
|
|
"\n",
|
|
"toml_content = '\\n'.join(toml_lines)\n",
|
|
"with Path(PALETTE_DIR, 'monobiome-vQBR.toml').open('w') as f:\n",
|
|
" f.write(toml_content)\n",
|
|
"print(\"[TOML] written\")\n",
|
|
" \n",
|
|
"with Path(PALETTE_DIR, 'monobiome-vQBR-oklch.json').open('w') as f:\n",
|
|
" json.dump(oklch_hL_dict, f)\n",
|
|
"print(\"[JSON] written\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "10295cea-39e1-421d-b523-2eda615b0abd",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "monobiome",
|
|
"language": "python",
|
|
"name": "monobiome"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.12.0"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|