将 HEX 转换为最接近的 X11 颜色编号
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【中文标题】将 HEX 转换为最接近的 X11 颜色编号【英文标题】：Convert HEX to closest X11 Color Number 【发布时间】：2012-07-30 17:24:45 【问题描述】：我正在寻找一种算法/方法来使用 Python 将给定的 HEX（例如 #111111 R:0x11、G:0x11、B:0x11）转换为最接近的 X11 颜色编号（终端为 88 或 256 色） 、php 或 VIM 脚本，我想知道这里是否有人知道方法或指向我执行此操作的方向。
提前致谢。
【问题讨论】：
什么是最近的？回答这个问题，你就会有一个算法。它是3维空间中的距离吗？还是您更喜欢保留比率（颜色）或幅度（亮度）等..？一旦你有了距离的度量，它只是选择最小值。 @KarolyHorvath - 我不确定哪种算法可以给我更好的结果，但我会解释我想要做什么。我正在为我的 VIM 编辑器创建配色方案。使用 GUI 版本的 VIM，我可以使用 HEX 颜色。现在我想将该 HEX 转换为 X11 数字并将其设置为 VIM 的控制台版本。 【参考方案1】：我遇到了同样的问题（采用现有的 vim 颜色方案和 gvim 十六进制颜色并填充终端颜色值）。这是我使用的脚本（尽管 ColorDist 函数可能会受益于更好的颜色距离度量，就像其他一些海报所建议的那样）
import re
import math
colors =
'000000': '16', '00005f': '17', '000087': '18', '0000af': '19', '0000d7': '20',
'0000ff': '21', '005f00': '22', '005f5f': '23', '005f87': '24', '005faf': '25',
'005fd7': '26', '005fff': '27', '008700': '28', '00875f': '29', '008787': '30',
'0087af': '31', '0087d7': '32', '0087ff': '33', '00af00': '34', '00af5f': '35',
'00af87': '36', '00afaf': '37', '00afd7': '38', '00afff': '39', '00d700': '40',
'00d75f': '41', '00d787': '42', '00d7af': '43', '00d7d7': '44', '00d7ff': '45',
'00ff00': '46', '00ff5f': '47', '00ff87': '48', '00ffaf': '49', '00ffd7': '50',
'00ffff': '51', '5f0000': '52', '5f005f': '53', '5f0087': '54', '5f00af': '55',
'5f00d7': '56', '5f00ff': '57', '5f5f00': '58', '5f5f5f': '59', '5f5f87': '60',
'5f5faf': '61', '5f5fd7': '62', '5f5fff': '63', '5f8700': '64', '5f875f': '65',
'5f8787': '66', '5f87af': '67', '5f87d7': '68', '5f87ff': '69', '5faf00': '70',
'5faf5f': '71', '5faf87': '72', '5fafaf': '73', '5fafd7': '74', '5fafff': '75',
'5fd700': '76', '5fd75f': '77', '5fd787': '78', '5fd7af': '79', '5fd7d7': '80',
'5fd7ff': '81', '5fff00': '82', '5fff5f': '83', '5fff87': '84', '5fffaf': '85',
'5fffd7': '86', '5fffff': '87', '870000': '88', '87005f': '89', '870087': '90',
'8700af': '91', '8700d7': '92', '8700ff': '93', '875f00': '94', '875f5f': '95',
'875f87': '96', '875faf': '97', '875fd7': '98', '875fff': '99', '878700': '100',
'87875f': '101', '878787': '102', '8787af': '103', '8787d7': '104', '8787ff': '105',
'87af00': '106', '87af5f': '107', '87af87': '108', '87afaf': '109', '87afd7': '110',
'87afff': '111', '87d700': '112', '87d75f': '113', '87d787': '114', '87d7af': '115',
'87d7d7': '116', '87d7ff': '117', '87ff00': '118', '87ff5f': '119', '87ff87': '120',
'87ffaf': '121', '87ffd7': '122', '87ffff': '123', 'af0000': '124', 'af005f': '125',
'af0087': '126', 'af00af': '127', 'af00d7': '128', 'af00ff': '129', 'af5f00': '130',
'af5f5f': '131', 'af5f87': '132', 'af5faf': '133', 'af5fd7': '134', 'af5fff': '135',
'af8700': '136', 'af875f': '137', 'af8787': '138', 'af87af': '139', 'af87d7': '140',
'af87ff': '141', 'afaf00': '142', 'afaf5f': '143', 'afaf87': '144', 'afafaf': '145',
'afafd7': '146', 'afafff': '147', 'afd700': '148', 'afd75f': '149', 'afd787': '150',
'afd7af': '151', 'afd7d7': '152', 'afd7ff': '153', 'afff00': '154', 'afff5f': '155',
'afff87': '156', 'afffaf': '157', 'afffd7': '158', 'afffff': '159', 'd70000': '160',
'd7005f': '161', 'd70087': '162', 'd700af': '163', 'd700d7': '164', 'd700ff': '165',
'd75f00': '166', 'd75f5f': '167', 'd75f87': '168', 'd75faf': '169', 'd75fd7': '170',
'd75fff': '171', 'd78700': '172', 'd7875f': '173', 'd78787': '174', 'd787af': '175',
'd787d7': '176', 'd787ff': '177', 'd7af00': '178', 'd7af5f': '179', 'd7af87': '180',
'd7afaf': '181', 'd7afd7': '182', 'd7afff': '183', 'd7d700': '184', 'd7d75f': '185',
'd7d787': '186', 'd7d7af': '187', 'd7d7d7': '188', 'd7d7ff': '189', 'd7ff00': '190',
'd7ff5f': '191', 'd7ff87': '192', 'd7ffaf': '193', 'd7ffd7': '194', 'd7ffff': '195',
'ff0000': '196', 'ff005f': '197', 'ff0087': '198', 'ff00af': '199', 'ff00d7': '200',
'ff00ff': '201', 'ff5f00': '202', 'ff5f5f': '203', 'ff5f87': '204', 'ff5faf': '205',
'ff5fd7': '206', 'ff5fff': '207', 'ff8700': '208', 'ff875f': '209', 'ff8787': '210',
'ff87af': '211', 'ff87d7': '212', 'ff87ff': '213', 'ffaf00': '214', 'ffaf5f': '215',
'ffaf87': '216', 'ffafaf': '217', 'ffafd7': '218', 'ffafff': '219', 'ffd700': '220',
'ffd75f': '221', 'ffd787': '222', 'ffd7af': '223', 'ffd7d7': '224', 'ffd7ff': '225',
'ffff00': '226', 'ffff5f': '227', 'ffff87': '228', 'ffffaf': '229', 'ffffd7': '230',
'ffffff': '231', '080808': '232', '121212': '233', '1c1c1c': '234', '262626': '235',
'303030': '236', '3a3a3a': '237', '444444': '238', '4e4e4e': '239', '585858': '240',
'626262': '241', '6c6c6c': '242', '767676': '243', '808080': '244', '8a8a8a': '245',
'949494': '246', '9e9e9e': '247', 'a8a8a8': '248', 'b2b2b2': '249', 'bcbcbc': '250',
'c6c6c6': '251', 'd0d0d0': '252', 'dadada': '253', 'e4e4e4': '254', 'eeeeee': '255',
## Example line from a vim colorscheme file
##hi Normal ctermfg=NONE ctermbg=NONE gui=NONE guifg=#b7af9f guibg=#202020
def Decompose(hexval):
return float(int(hexval[0:2], 16)), float(int(hexval[2:4], 16)), float(int(hexval[4:6], 16))
def Normalize(r, g, b):
magsqr = r*r + g*g + b*b
if magsqr < 0.0001:
return 0.0, 0.0, 0.0
n = 1.0 / math.sqrt(magsqr)
return r*n, g*n, b*n
def ColorDist(c1, c2):
c1r, c1g, c1b = Decompose(c1)
c2r, c2g, c2b = Decompose(c2)
dr = c1r - c2r
dg = c1g - c2g
db = c1b - c2b
return dr*dr + dg*dg + db*db
def BestMatch(hexval):
best = None
bestdist = 0.0
for key in colors.keys():
dist = ColorDist(hexval, key)
if best is None or dist < bestdist:
best = colors[key]
bestdist = dist
return best
## 1 2 3 4 5 6
fg = re.compile(r'^(.*)(ctermfg=)NONE(.*)(guifg=#)([^ ]*)(.*)\n$')
bg = re.compile(r'^(.*)(ctermbg=)NONE(.*)(guibg=#)([^ ]*)(.*)\n$')
with open(r'input_color_scheme.vim', 'r') as f:
with open(r'output_color_scheme.vim', 'w') as fout:
for line in f.readlines():
fgmatch = fg.match(line)
if fgmatch is not None:
line = (fgmatch.group(1) +
fgmatch.group(2) +
BestMatch(fgmatch.group(5)) +
fgmatch.group(3) +
fgmatch.group(4) +
fgmatch.group(5) +
fgmatch.group(6)) + '\n'
bgmatch = bg.match(line)
if bgmatch is not None:
line = (bgmatch.group(1) +
bgmatch.group(2) +
BestMatch(bgmatch.group(5)) +
bgmatch.group(3) +
bgmatch.group(4) +
bgmatch.group(5) +
bgmatch.group(6) + '\n')
## -- print the line
fout.write(line)
【讨论】：
感谢脚本。您使用颜色表找出颜色N。有没有办法在没有桌子的情况下找到它？我还检查了desert256.vim，我发现他们转换了 RGB -> XYZ，然后将16 + (x * 16) + (y * 4) + z 用于 88 色终端，16 + (x * 36) + (y * 6) + z 用于 256 色终端，以找到颜色 N 的 N。我不明白他们的公式，你知道他们是怎么想出来的吗？ （大多数 256 VIM 配色方案使用相同的公式）【参考方案2】：
转到Wolfram Alpha，输入您的十六进制值，即“#acdffa”。转到名为“最近命名的 html 颜色”的部分
我知道这不是代码，但你确实说过“算法/方式”。
干杯
【讨论】：
完美。非常感谢。【参考方案3】：这是一个 C 实现，但应该很容易将其转换为其他语言。本文末尾有一个 javascript 实现。请注意，C 实现使用整数运算：
// Convert RGB24 to xterm-256 8-bit value
// For simplicity, assume RGB space is perceptually uniform.
// There are 5 places where one of two outputs needs to be chosen when the
// input is the exact middle:
// - The r/g/b channels and the gray value: the higher value output is chosen.
// - If the gray and color have same distance from the input - color is chosen.
static int rgb_to_x256(uint8_t r, uint8_t g, uint8_t b)
// Calculate the nearest 0-based color index at 16 .. 231
# define v2ci(v) (v < 48 ? 0 : v < 115 ? 1 : (v - 35) / 40)
int ir = v2ci(r), ig = v2ci(g), ib = v2ci(b); // 0..5 each
# define color_index() (36 * ir + 6 * ig + ib) /* 0..215, lazy evaluation */
// Calculate the nearest 0-based gray index at 232 .. 255
int average = (r + g + b) / 3;
int gray_index = average > 238 ? 23 : (average - 3) / 10; // 0..23
// Calculate the represented colors back from the index
static const int i2cv[6] = 0, 0x5f, 0x87, 0xaf, 0xd7, 0xff;
int cr = i2cv[ir], cg = i2cv[ig], cb = i2cv[ib]; // r/g/b, 0..255 each
int gv = 8 + 10 * gray_index; // same value for r/g/b, 0..255
// Return the one which is nearer to the original input rgb value
# define dist_square(A,B,C, a,b,c) ((A-a)*(A-a) + (B-b)*(B-b) + (C-c)*(C-c))
int color_err = dist_square(cr, cg, cb, r, g, b);
int gray_err = dist_square(gv, gv, gv, r, g, b);
return color_err <= gray_err ? 16 + color_index() : 232 + gray_index;
这与tmux 和mpv 当前使用的实现相同。你可以在 tmux pull request on github 找到算法的一些解释。
JavaScript 实现
// Convert RGB24 to xterm-256 8-bit value
// For simplicity, assume RGB space is perceptually uniform.
// There are 5 places where one of two outputs needs to be chosen when the
// input is the exact middle:
// - The r/g/b channels and the gray value: the higher value output is chosen.
// - If the gray and color have same distance from the input - color is chosen.
function RgbToX256(r, g, b)
// Calculate the nearest 0-based color index at 16 .. 231
const v2ci = (v) =>
if (v < 48)
return 0;
else if (v < 115)
return 1;
else
return Math.trunc((v - 35) / 40);
;
const ir = v2ci(r);
const ig = v2ci(g);
const ib = v2ci(b);
const colorIndex = (36 * ir + 6 * ig + ib);
// Calculate the nearest 0-based gray index at 232 .. 255
const average = Math.trunc((r + g + b) / 3);
const grayIndex = average > 238 ? 23 : Math.trunc((average - 3) / 10);
// Calculate the represented colors back from the index
const i2cv = [0, 0x5F, 0x87, 0xAF, 0xD7, 0xFF];
const cr = i2cv[ir];
const cg = i2cv[ig];
const cb = i2cv[ib];
const gv = 8 + 10 * grayIndex;
// Return the one which is nearer to the original input rgb value
const distSquare = (A, B, C, a, b, c) =>
return ((A - a) * (A - a) + (B - b) * (B - b) + (C - c) * (C - c));
const colorErr = distSquare(cr, cg, cb, r, g, b);
const grayErr = distSquare(gv, gv, gv, r, g, b);
return colorErr <= grayErr ? 16 + colorIndex : 232 + grayIndex;
const assertEq = (result, expect) =>
if (result !== expect)
return console.log("[FAIL]", `expected: $expect, got $result`);
return console.log("[PASS]", `expected: $expect, got $result`);
const tests = [
expect: 16,
rgb: [0, 0, 0]
,
expect: 17,
rgb: [0, 0, 95]
,
expect: 18,
rgb: [0, 0, 135]
,
expect: 19,
rgb: [0, 0, 175]
,
expect: 20,
rgb: [0, 0, 215]
,
expect: 21,
rgb: [0, 0, 255]
,
expect: 22,
rgb: [0, 95, 0]
,
expect: 23,
rgb: [0, 95, 95]
,
expect: 24,
rgb: [0, 95, 135]
,
expect: 25,
rgb: [0, 95, 175]
,
expect: 26,
rgb: [0, 95, 215]
,
expect: 27,
rgb: [0, 95, 255]
,
expect: 28,
rgb: [0, 135, 0]
,
expect: 29,
rgb: [0, 135, 95]
,
expect: 30,
rgb: [0, 135, 135]
,
expect: 31,
rgb: [0, 135, 175]
,
expect: 32,
rgb: [0, 135, 215]
,
expect: 33,
rgb: [0, 135, 255]
,
expect: 34,
rgb: [0, 175, 0]
,
expect: 35,
rgb: [0, 175, 95]
,
expect: 36,
rgb: [0, 175, 135]
,
expect: 37,
rgb: [0, 175, 175]
,
expect: 38,
rgb: [0, 175, 215]
,
expect: 39,
rgb: [0, 175, 255]
,
expect: 40,
rgb: [0, 215, 0]
,
expect: 41,
rgb: [0, 215, 95]
,
expect: 42,
rgb: [0, 215, 135]
,
expect: 43,
rgb: [0, 215, 175]
,
expect: 44,
rgb: [0, 215, 215]
,
expect: 45,
rgb: [0, 215, 255]
,
expect: 46,
rgb: [0, 255, 0]
,
expect: 47,
rgb: [0, 255, 95]
,
expect: 48,
rgb: [0, 255, 135]
,
expect: 49,
rgb: [0, 255, 175]
,
expect: 50,
rgb: [0, 255, 215]
,
expect: 51,
rgb: [0, 255, 255]
,
expect: 52,
rgb: [95, 0, 0]
,
expect: 53,
rgb: [95, 0, 95]
,
expect: 54,
rgb: [95, 0, 135]
,
expect: 55,
rgb: [95, 0, 175]
,
expect: 56,
rgb: [95, 0, 215]
,
expect: 57,
rgb: [95, 0, 255]
,
expect: 58,
rgb: [95, 95, 0]
,
expect: 59,
rgb: [95, 95, 95]
,
expect: 60,
rgb: [95, 95, 135]
,
expect: 61,
rgb: [95, 95, 175]
,
expect: 62,
rgb: [95, 95, 215]
,
expect: 63,
rgb: [95, 95, 255]
,
expect: 64,
rgb: [95, 135, 0]
,
expect: 65,
rgb: [95, 135, 95]
,
expect: 66,
rgb: [95, 135, 135]
,
expect: 67,
rgb: [95, 135, 175]
,
expect: 68,
rgb: [95, 135, 215]
,
expect: 69,
rgb: [95, 135, 255]
,
expect: 70,
rgb: [95, 175, 0]
,
expect: 71,
rgb: [95, 175, 95]
,
expect: 72,
rgb: [95, 175, 135]
,
expect: 73,
rgb: [95, 175, 175]
,
expect: 74,
rgb: [95, 175, 215]
,
expect: 75,
rgb: [95, 175, 255]
,
expect: 76,
rgb: [95, 215, 0]
,
expect: 77,
rgb: [95, 215, 95]
,
expect: 78,
rgb: [95, 215, 135]
,
expect: 79,
rgb: [95, 215, 175]
,
expect: 80,
rgb: [95, 215, 215]
,
expect: 81,
rgb: [95, 215, 255]
,
expect: 82,
rgb: [95, 255, 0]
,
expect: 83,
rgb: [95, 255, 95]
,
expect: 84,
rgb: [95, 255, 135]
,
expect: 85,
rgb: [95, 255, 175]
,
expect: 86,
rgb: [95, 255, 215]
,
expect: 87,
rgb: [95, 255, 255]
,
expect: 88,
rgb: [135, 0, 0]
,
expect: 89,
rgb: [135, 0, 95]
,
expect: 90,
rgb: [135, 0, 135]
,
expect: 91,
rgb: [135, 0, 175]
,
expect: 92,
rgb: [135, 0, 215]
,
expect: 93,
rgb: [135, 0, 255]
,
expect: 94,
rgb: [135, 95, 0]
,
expect: 95,
rgb: [135, 95, 95]
,
expect: 96,
rgb: [135, 95, 135]
,
expect: 97,
rgb: [135, 95, 175]
,
expect: 98,
rgb: [135, 95, 215]
,
expect: 99,
rgb: [135, 95, 255]
,
expect: 100,
rgb: [135, 135, 0]
,
expect: 101,
rgb: [135, 135, 95]
,
expect: 102,
rgb: [135, 135, 135]
,
expect: 103,
rgb: [135, 135, 175]
,
expect: 104,
rgb: [135, 135, 215]
,
expect: 105,
rgb: [135, 135, 255]
,
expect: 106,
rgb: [135, 175, 0]
,
expect: 107,
rgb: [135, 175, 95]
,
expect: 108,
rgb: [135, 175, 135]
,
expect: 109,
rgb: [135, 175, 175]
,
expect: 110,
rgb: [135, 175, 215]
,
expect: 111,
rgb: [135, 175, 255]
,
expect: 112,
rgb: [135, 215, 0]
,
expect: 113,
rgb: [135, 215, 95]
,
expect: 114,
rgb: [135, 215, 135]
,
expect: 115,
rgb: [135, 215, 175]
,
expect: 116,
rgb: [135, 215, 215]
,
expect: 117,
rgb: [135, 215, 255]
,
expect: 118,
rgb: [135, 255, 0]
,
expect: 119,
rgb: [135, 255, 95]
,
expect: 120,
rgb: [135, 255, 135]
,
expect: 121,
rgb: [135, 255, 175]
,
expect: 122,
rgb: [135, 255, 215]
,
expect: 123,
rgb: [135, 255, 255]
,
expect: 124,
rgb: [175, 0, 0]
,
expect: 125,
rgb: [175, 0, 95]
,
expect: 126,
rgb: [175, 0, 135]
,
expect: 127,
rgb: [175, 0, 175]
,
expect: 128,
rgb: [175, 0, 215]
,
expect: 129,
rgb: [175, 0, 255]
,
expect: 130,
rgb: [175, 95, 0]
,
expect: 131,
rgb: [175, 95, 95]
,
expect: 132,
rgb: [175, 95, 135]
,
expect: 133,
rgb: [175, 95, 175]
,
expect: 134,
rgb: [175, 95, 215]
,
expect: 135,
rgb: [175, 95, 255]
,
expect: 136,
rgb: [175, 135, 0]
,
expect: 137,
rgb: [175, 135, 95]
,
expect: 138,
rgb: [175, 135, 135]
,
expect: 139,
rgb: [175, 135, 175]
,
expect: 140,
rgb: [175, 135, 215]
,
expect: 141,
rgb: [175, 135, 255]
,
expect: 142,
rgb: [175, 175, 0]
,
expect: 143,
rgb: [175, 175, 95]
,
expect: 144,
rgb: [175, 175, 135]
,
expect: 145,
rgb: [175, 175, 175]
,
expect: 146,
rgb: [175, 175, 215]
,
expect: 147,
rgb: [175, 175, 255]
,
expect: 148,
rgb: [175, 215, 0]
,
expect: 149,
rgb: [175, 215, 95]
,
expect: 150,
rgb: [175, 215, 135]
,
expect: 151,
rgb: [175, 215, 175]
,
expect: 152,
rgb: [175, 215, 215]
,
expect: 153,
rgb: [175, 215, 255]
,
expect: 154,
rgb: [175, 255, 0]
,
expect: 155,
rgb: [175, 255, 95]
,
expect: 156,
rgb: [175, 255, 135]
,
expect: 157,
rgb: [175, 255, 175]
,
expect: 158,
rgb: [175, 255, 215]
,
expect: 159,
rgb: [175, 255, 255]
,
expect: 160,
rgb: [215, 0, 0]
,
expect: 161,
rgb: [215, 0, 95]
,
expect: 162,
rgb: [215, 0, 135]
,
expect: 163,
rgb: [215, 0, 175]
,
expect: 164,
rgb: [215, 0, 215]
,
expect: 165,
rgb: [215, 0, 255]
,
expect: 166,
rgb: [215, 95, 0]
,
expect: 167,
rgb: [215, 95, 95]
,
expect: 168,
rgb: [215, 95, 135]
,
expect: 169,
rgb: [215, 95, 175]
,
expect: 170,
rgb: [215, 95, 215]
,
expect: 171,
rgb: [215, 95, 255]
,
expect: 172,
rgb: [215, 135, 0]
,
expect: 173,
rgb: [215, 135, 95]
,
expect: 174,
rgb: [215, 135, 135]
,
expect: 175,
rgb: [215, 135, 175]
,
expect: 176,
rgb: [215, 135, 215]
,
expect: 177,
rgb: [215, 135, 255]
,
expect: 178,
rgb: [215, 175, 0]
,
expect: 179,
rgb: [215, 175, 95]
,
expect: 180,
rgb: [215, 175, 135]
,
expect: 181,
rgb: [215, 175, 175]
,
expect: 182,
rgb: [215, 175, 215]
,
expect: 183,
rgb: [215, 175, 255]
,
expect: 184,
rgb: [215, 215, 0]
,
expect: 185,
rgb: [215, 215, 95]
,
expect: 186,
rgb: [215, 215, 135]
,
expect: 187,
rgb: [215, 215, 175]
,
expect: 188,
rgb: [215, 215, 215]
,
expect: 189,
rgb: [215, 215, 255]
,
expect: 190,
rgb: [215, 255, 0]
,
expect: 191,
rgb: [215, 255, 95]
,
expect: 192,
rgb: [215, 255, 135]
,
expect: 193,
rgb: [215, 255, 175]
,
expect: 194,
rgb: [215, 255, 215]
,
expect: 195,
rgb: [215, 255, 255]
,
expect: 196,
rgb: [255, 0, 0]
,
expect: 197,
rgb: [255, 0, 95]
,
expect: 198,
rgb: [255, 0, 135]
,
expect: 199,
rgb: [255, 0, 175]
,
expect: 200,
rgb: [255, 0, 215]
,
expect: 201,
rgb: [255, 0, 255]
,
expect: 202,
rgb: [255, 95, 0]
,
expect: 203,
rgb: [255, 95, 95]
,
expect: 204,
rgb: [255, 95, 135]
,
expect: 205,
rgb: [255, 95, 175]
,
expect: 206,
rgb: [255, 95, 215]
,
expect: 207,
rgb: [255, 95, 255]
,
expect: 208,
rgb: [255, 135, 0]
,
expect: 209,
rgb: [255, 135, 95]
,
expect: 210,
rgb: [255, 135, 135]
,
expect: 211,
rgb: [255, 135, 175]
,
expect: 212,
rgb: [255, 135, 215]
,
expect: 213,
rgb: [255, 135, 255]
,
expect: 214,
rgb: [255, 175, 0]
,
expect: 215,
rgb: [255, 175, 95]
,
expect: 216,
rgb: [255, 175, 135]
,
expect: 217,
rgb: [255, 175, 175]
,
expect: 218,
rgb: [255, 175, 215]
,
expect: 219,
rgb: [255, 175, 255]
,
expect: 220,
rgb: [255, 215, 0]
,
expect: 221,
rgb: [255, 215, 95]
,
expect: 222,
rgb: [255, 215, 135]
,
expect: 223,
rgb: [255, 215, 175]
,
expect: 224,
rgb: [255, 215, 215]
,
expect: 225,
rgb: [255, 215, 255]
,
expect: 226,
rgb: [255, 255, 0]
,
expect: 227,
rgb: [255, 255, 95]
,
expect: 228,
rgb: [255, 255, 135]
,
expect: 229,
rgb: [255, 255, 175]
,
expect: 230,
rgb: [255, 255, 215]
,
expect: 231,
rgb: [255, 255, 255]
,
expect: 232,
rgb: [8, 8, 8]
,
expect: 233,
rgb: [18, 18, 18]
,
expect: 234,
rgb: [28, 28, 28]
,
expect: 235,
rgb: [38, 38, 38]
,
expect: 236,
rgb: [48, 48, 48]
,
expect: 237,
rgb: [58, 58, 58]
,
expect: 238,
rgb: [68, 68, 68]
,
expect: 239,
rgb: [78, 78, 78]
,
expect: 240,
rgb: [88, 88, 88]
,
expect: 241,
rgb: [98, 98, 98]
,
expect: 242,
rgb: [108, 108, 108]
,
expect: 243,
rgb: [118, 118, 118]
,
expect: 244,
rgb: [128, 128, 128]
,
expect: 245,
rgb: [138, 138, 138]
,
expect: 246,
rgb: [148, 148, 148]
,
expect: 247,
rgb: [158, 158, 158]
,
expect: 248,
rgb: [168, 168, 168]
,
expect: 249,
rgb: [178, 178, 178]
,
expect: 250,
rgb: [188, 188, 188]
,
expect: 251,
rgb: [198, 198, 198]
,
expect: 252,
rgb: [208, 208, 208]
,
expect: 253,
rgb: [218, 218, 218]
,
expect: 254,
rgb: [228, 228, 228]
,
expect: 255,
rgb: [238, 238, 238]
];
for (const
expect,
rgb: [r, g, b]
of tests)
assertEq(expect, RgbToX256(r, g, b));
【讨论】：
【参考方案4】：一旦您知道RGB values of the X11 colors，您就可以确定给定的输入颜色与这些颜色中的哪一种颜色“最接近”。
这里有一个很好、快速的颜色距离测量方法
https://***.com/a/74033/141172
【讨论】：
【参考方案5】：这是一个恒定时间的python实现：
N = []
for i, n in enumerate([47, 68, 40, 40, 40, 21]):
N.extend([i]*n)
def rgb_to_xterm(r, g, b):
mx = max(r, g, b)
mn = min(r, g, b)
if (mx-mn)*(mx+mn) <= 6250:
c = 24 - (252 - ((r+g+b) // 3)) // 10
if 0 <= c <= 23:
return 232 + c
return 16 + 36*N[r] + 6*N[g] + N[b]
【讨论】：
你能解释一下代码吗？谢谢 直接来自十六进制字符串：h = "8700ff"; print(rgb_to_xterm(*(int(n, 16) for n in (h[:2], h[2:4], h[4:])))) # 93以上是关于将 HEX 转换为最接近的 X11 颜色编号的主要内容，如果未能解决你的问题，请参考以下文章
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