use-image-color
Version:
Grab color palette from any image using React hooks
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JavaScript
import React, { useState, useCallback, useEffect } from 'react';
function _defineProperty(obj, key, value) {
if (key in obj) {
Object.defineProperty(obj, key, {
value: value,
enumerable: true,
configurable: true,
writable: true
});
} else {
obj[key] = value;
}
return obj;
}
function _extends() {
_extends = Object.assign || function (target) {
for (var i = 1; i < arguments.length; i++) {
var source = arguments[i];
for (var key in source) {
if (Object.prototype.hasOwnProperty.call(source, key)) {
target[key] = source[key];
}
}
}
return target;
};
return _extends.apply(this, arguments);
}
function ownKeys(object, enumerableOnly) {
var keys = Object.keys(object);
if (Object.getOwnPropertySymbols) {
var symbols = Object.getOwnPropertySymbols(object);
if (enumerableOnly) symbols = symbols.filter(function (sym) {
return Object.getOwnPropertyDescriptor(object, sym).enumerable;
});
keys.push.apply(keys, symbols);
}
return keys;
}
function _objectSpread2(target) {
for (var i = 1; i < arguments.length; i++) {
var source = arguments[i] != null ? arguments[i] : {};
if (i % 2) {
ownKeys(Object(source), true).forEach(function (key) {
_defineProperty(target, key, source[key]);
});
} else if (Object.getOwnPropertyDescriptors) {
Object.defineProperties(target, Object.getOwnPropertyDescriptors(source));
} else {
ownKeys(Object(source)).forEach(function (key) {
Object.defineProperty(target, key, Object.getOwnPropertyDescriptor(source, key));
});
}
}
return target;
}
function _objectWithoutPropertiesLoose(source, excluded) {
if (source == null) return {};
var target = {};
var sourceKeys = Object.keys(source);
var key, i;
for (i = 0; i < sourceKeys.length; i++) {
key = sourceKeys[i];
if (excluded.indexOf(key) >= 0) continue;
target[key] = source[key];
}
return target;
}
function _objectWithoutProperties(source, excluded) {
if (source == null) return {};
var target = _objectWithoutPropertiesLoose(source, excluded);
var key, i;
if (Object.getOwnPropertySymbols) {
var sourceSymbolKeys = Object.getOwnPropertySymbols(source);
for (i = 0; i < sourceSymbolKeys.length; i++) {
key = sourceSymbolKeys[i];
if (excluded.indexOf(key) >= 0) continue;
if (!Object.prototype.propertyIsEnumerable.call(source, key)) continue;
target[key] = source[key];
}
}
return target;
}
function _slicedToArray(arr, i) {
return _arrayWithHoles(arr) || _iterableToArrayLimit(arr, i) || _nonIterableRest();
}
function _arrayWithHoles(arr) {
if (Array.isArray(arr)) return arr;
}
function _iterableToArrayLimit(arr, i) {
if (!(Symbol.iterator in Object(arr) || Object.prototype.toString.call(arr) === "[object Arguments]")) {
return;
}
var _arr = [];
var _n = true;
var _d = false;
var _e = undefined;
try {
for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) {
_arr.push(_s.value);
if (i && _arr.length === i) break;
}
} catch (err) {
_d = true;
_e = err;
} finally {
try {
if (!_n && _i["return"] != null) _i["return"]();
} finally {
if (_d) throw _e;
}
}
return _arr;
}
function _nonIterableRest() {
throw new TypeError("Invalid attempt to destructure non-iterable instance");
}
/*
* quantize.js Copyright 2008 Nick Rabinowitz
* Ported to node.js by Olivier Lesnicki
* Licensed under the MIT license: http://www.opensource.org/licenses/mit-license.php
*/
// fill out a couple protovis dependencies
/*
* Block below copied from Protovis: http://mbostock.github.com/protovis/
* Copyright 2010 Stanford Visualization Group
* Licensed under the BSD License: http://www.opensource.org/licenses/bsd-license.php
*/
if (!pv) {
var pv = {
map: function(array, f) {
var o = {};
return f ? array.map(function(d, i) {
o.index = i;
return f.call(o, d);
}) : array.slice();
},
naturalOrder: function(a, b) {
return (a < b) ? -1 : ((a > b) ? 1 : 0);
},
sum: function(array, f) {
var o = {};
return array.reduce(f ? function(p, d, i) {
o.index = i;
return p + f.call(o, d);
} : function(p, d) {
return p + d;
}, 0);
},
max: function(array, f) {
return Math.max.apply(null, f ? pv.map(array, f) : array);
}
};
}
/**
* Basic Javascript port of the MMCQ (modified median cut quantization)
* algorithm from the Leptonica library (http://www.leptonica.com/).
* Returns a color map you can use to map original pixels to the reduced
* palette. Still a work in progress.
*
* @author Nick Rabinowitz
* @example
// array of pixels as [R,G,B] arrays
var myPixels = [[190,197,190], [202,204,200], [207,214,210], [211,214,211], [205,207,207]
// etc
];
var maxColors = 4;
var cmap = MMCQ.quantize(myPixels, maxColors);
var newPalette = cmap.palette();
var newPixels = myPixels.map(function(p) {
return cmap.map(p);
});
*/
var MMCQ = (function() {
// private constants
var sigbits = 5,
rshift = 8 - sigbits,
maxIterations = 1000,
fractByPopulations = 0.75;
// get reduced-space color index for a pixel
function getColorIndex(r, g, b) {
return (r << (2 * sigbits)) + (g << sigbits) + b;
}
// Simple priority queue
function PQueue(comparator) {
var contents = [],
sorted = false;
function sort() {
contents.sort(comparator);
sorted = true;
}
return {
push: function(o) {
contents.push(o);
sorted = false;
},
peek: function(index) {
if (!sorted) sort();
if (index === undefined) index = contents.length - 1;
return contents[index];
},
pop: function() {
if (!sorted) sort();
return contents.pop();
},
size: function() {
return contents.length;
},
map: function(f) {
return contents.map(f);
},
debug: function() {
if (!sorted) sort();
return contents;
}
};
}
// 3d color space box
function VBox(r1, r2, g1, g2, b1, b2, histo) {
var vbox = this;
vbox.r1 = r1;
vbox.r2 = r2;
vbox.g1 = g1;
vbox.g2 = g2;
vbox.b1 = b1;
vbox.b2 = b2;
vbox.histo = histo;
}
VBox.prototype = {
volume: function(force) {
var vbox = this;
if (!vbox._volume || force) {
vbox._volume = ((vbox.r2 - vbox.r1 + 1) * (vbox.g2 - vbox.g1 + 1) * (vbox.b2 - vbox.b1 + 1));
}
return vbox._volume;
},
count: function(force) {
var vbox = this,
histo = vbox.histo;
if (!vbox._count_set || force) {
var npix = 0,
i, j, k, index;
for (i = vbox.r1; i <= vbox.r2; i++) {
for (j = vbox.g1; j <= vbox.g2; j++) {
for (k = vbox.b1; k <= vbox.b2; k++) {
index = getColorIndex(i, j, k);
npix += (histo[index] || 0);
}
}
}
vbox._count = npix;
vbox._count_set = true;
}
return vbox._count;
},
copy: function() {
var vbox = this;
return new VBox(vbox.r1, vbox.r2, vbox.g1, vbox.g2, vbox.b1, vbox.b2, vbox.histo);
},
avg: function(force) {
var vbox = this,
histo = vbox.histo;
if (!vbox._avg || force) {
var ntot = 0,
mult = 1 << (8 - sigbits),
rsum = 0,
gsum = 0,
bsum = 0,
hval,
i, j, k, histoindex;
for (i = vbox.r1; i <= vbox.r2; i++) {
for (j = vbox.g1; j <= vbox.g2; j++) {
for (k = vbox.b1; k <= vbox.b2; k++) {
histoindex = getColorIndex(i, j, k);
hval = histo[histoindex] || 0;
ntot += hval;
rsum += (hval * (i + 0.5) * mult);
gsum += (hval * (j + 0.5) * mult);
bsum += (hval * (k + 0.5) * mult);
}
}
}
if (ntot) {
vbox._avg = [~~(rsum / ntot), ~~ (gsum / ntot), ~~ (bsum / ntot)];
} else {
//console.log('empty box');
vbox._avg = [~~(mult * (vbox.r1 + vbox.r2 + 1) / 2), ~~ (mult * (vbox.g1 + vbox.g2 + 1) / 2), ~~ (mult * (vbox.b1 + vbox.b2 + 1) / 2)];
}
}
return vbox._avg;
},
contains: function(pixel) {
var vbox = this,
rval = pixel[0] >> rshift;
gval = pixel[1] >> rshift;
bval = pixel[2] >> rshift;
return (rval >= vbox.r1 && rval <= vbox.r2 &&
gval >= vbox.g1 && gval <= vbox.g2 &&
bval >= vbox.b1 && bval <= vbox.b2);
}
};
// Color map
function CMap() {
this.vboxes = new PQueue(function(a, b) {
return pv.naturalOrder(
a.vbox.count() * a.vbox.volume(),
b.vbox.count() * b.vbox.volume()
)
}); }
CMap.prototype = {
push: function(vbox) {
this.vboxes.push({
vbox: vbox,
color: vbox.avg()
});
},
palette: function() {
return this.vboxes.map(function(vb) {
return vb.color
});
},
size: function() {
return this.vboxes.size();
},
map: function(color) {
var vboxes = this.vboxes;
for (var i = 0; i < vboxes.size(); i++) {
if (vboxes.peek(i).vbox.contains(color)) {
return vboxes.peek(i).color;
}
}
return this.nearest(color);
},
nearest: function(color) {
var vboxes = this.vboxes,
d1, d2, pColor;
for (var i = 0; i < vboxes.size(); i++) {
d2 = Math.sqrt(
Math.pow(color[0] - vboxes.peek(i).color[0], 2) +
Math.pow(color[1] - vboxes.peek(i).color[1], 2) +
Math.pow(color[2] - vboxes.peek(i).color[2], 2)
);
if (d2 < d1 || d1 === undefined) {
d1 = d2;
pColor = vboxes.peek(i).color;
}
}
return pColor;
},
forcebw: function() {
// XXX: won't work yet
var vboxes = this.vboxes;
vboxes.sort(function(a, b) {
return pv.naturalOrder(pv.sum(a.color), pv.sum(b.color))
});
// force darkest color to black if everything < 5
var lowest = vboxes[0].color;
if (lowest[0] < 5 && lowest[1] < 5 && lowest[2] < 5)
vboxes[0].color = [0, 0, 0];
// force lightest color to white if everything > 251
var idx = vboxes.length - 1,
highest = vboxes[idx].color;
if (highest[0] > 251 && highest[1] > 251 && highest[2] > 251)
vboxes[idx].color = [255, 255, 255];
}
};
// histo (1-d array, giving the number of pixels in
// each quantized region of color space), or null on error
function getHisto(pixels) {
var histosize = 1 << (3 * sigbits),
histo = new Array(histosize),
index, rval, gval, bval;
pixels.forEach(function(pixel) {
rval = pixel[0] >> rshift;
gval = pixel[1] >> rshift;
bval = pixel[2] >> rshift;
index = getColorIndex(rval, gval, bval);
histo[index] = (histo[index] || 0) + 1;
});
return histo;
}
function vboxFromPixels(pixels, histo) {
var rmin = 1000000,
rmax = 0,
gmin = 1000000,
gmax = 0,
bmin = 1000000,
bmax = 0,
rval, gval, bval;
// find min/max
pixels.forEach(function(pixel) {
rval = pixel[0] >> rshift;
gval = pixel[1] >> rshift;
bval = pixel[2] >> rshift;
if (rval < rmin) rmin = rval;
else if (rval > rmax) rmax = rval;
if (gval < gmin) gmin = gval;
else if (gval > gmax) gmax = gval;
if (bval < bmin) bmin = bval;
else if (bval > bmax) bmax = bval;
});
return new VBox(rmin, rmax, gmin, gmax, bmin, bmax, histo);
}
function medianCutApply(histo, vbox) {
if (!vbox.count()) return;
var rw = vbox.r2 - vbox.r1 + 1,
gw = vbox.g2 - vbox.g1 + 1,
bw = vbox.b2 - vbox.b1 + 1,
maxw = pv.max([rw, gw, bw]);
// only one pixel, no split
if (vbox.count() == 1) {
return [vbox.copy()]
}
/* Find the partial sum arrays along the selected axis. */
var total = 0,
partialsum = [],
lookaheadsum = [],
i, j, k, sum, index;
if (maxw == rw) {
for (i = vbox.r1; i <= vbox.r2; i++) {
sum = 0;
for (j = vbox.g1; j <= vbox.g2; j++) {
for (k = vbox.b1; k <= vbox.b2; k++) {
index = getColorIndex(i, j, k);
sum += (histo[index] || 0);
}
}
total += sum;
partialsum[i] = total;
}
} else if (maxw == gw) {
for (i = vbox.g1; i <= vbox.g2; i++) {
sum = 0;
for (j = vbox.r1; j <= vbox.r2; j++) {
for (k = vbox.b1; k <= vbox.b2; k++) {
index = getColorIndex(j, i, k);
sum += (histo[index] || 0);
}
}
total += sum;
partialsum[i] = total;
}
} else { /* maxw == bw */
for (i = vbox.b1; i <= vbox.b2; i++) {
sum = 0;
for (j = vbox.r1; j <= vbox.r2; j++) {
for (k = vbox.g1; k <= vbox.g2; k++) {
index = getColorIndex(j, k, i);
sum += (histo[index] || 0);
}
}
total += sum;
partialsum[i] = total;
}
}
partialsum.forEach(function(d, i) {
lookaheadsum[i] = total - d;
});
function doCut(color) {
var dim1 = color + '1',
dim2 = color + '2',
left, right, vbox1, vbox2, d2, count2 = 0;
for (i = vbox[dim1]; i <= vbox[dim2]; i++) {
if (partialsum[i] > total / 2) {
vbox1 = vbox.copy();
vbox2 = vbox.copy();
left = i - vbox[dim1];
right = vbox[dim2] - i;
if (left <= right)
d2 = Math.min(vbox[dim2] - 1, ~~ (i + right / 2));
else d2 = Math.max(vbox[dim1], ~~ (i - 1 - left / 2));
// avoid 0-count boxes
while (!partialsum[d2]) d2++;
count2 = lookaheadsum[d2];
while (!count2 && partialsum[d2 - 1]) count2 = lookaheadsum[--d2];
// set dimensions
vbox1[dim2] = d2;
vbox2[dim1] = vbox1[dim2] + 1;
// console.log('vbox counts:', vbox.count(), vbox1.count(), vbox2.count());
return [vbox1, vbox2];
}
}
}
// determine the cut planes
return maxw == rw ? doCut('r') :
maxw == gw ? doCut('g') :
doCut('b');
}
function quantize(pixels, maxcolors) {
// short-circuit
if (!pixels.length || maxcolors < 2 || maxcolors > 256) {
// console.log('wrong number of maxcolors');
return false;
}
// XXX: check color content and convert to grayscale if insufficient
var histo = getHisto(pixels);
histo.forEach(function() {
});
// get the beginning vbox from the colors
var vbox = vboxFromPixels(pixels, histo),
pq = new PQueue(function(a, b) {
return pv.naturalOrder(a.count(), b.count())
});
pq.push(vbox);
// inner function to do the iteration
function iter(lh, target) {
var ncolors = 1,
niters = 0,
vbox;
while (niters < maxIterations) {
vbox = lh.pop();
if (!vbox.count()) { /* just put it back */
lh.push(vbox);
niters++;
continue;
}
// do the cut
var vboxes = medianCutApply(histo, vbox),
vbox1 = vboxes[0],
vbox2 = vboxes[1];
if (!vbox1) {
// console.log("vbox1 not defined; shouldn't happen!");
return;
}
lh.push(vbox1);
if (vbox2) { /* vbox2 can be null */
lh.push(vbox2);
ncolors++;
}
if (ncolors >= target) return;
if (niters++ > maxIterations) {
// console.log("infinite loop; perhaps too few pixels!");
return;
}
}
}
// first set of colors, sorted by population
iter(pq, fractByPopulations * maxcolors);
// console.log(pq.size(), pq.debug().length, pq.debug().slice());
// Re-sort by the product of pixel occupancy times the size in color space.
var pq2 = new PQueue(function(a, b) {
return pv.naturalOrder(a.count() * a.volume(), b.count() * b.volume())
});
while (pq.size()) {
pq2.push(pq.pop());
}
// next set - generate the median cuts using the (npix * vol) sorting.
iter(pq2, maxcolors - pq2.size());
// calculate the actual colors
var cmap = new CMap();
while (pq2.size()) {
cmap.push(pq2.pop());
}
return cmap;
}
return {
quantize: quantize
}
})();
var quantize = MMCQ.quantize;
var CHANNELS = 4;
var FORMATS = {
rgb: 'rgb',
hex: 'hex'
};
var DEFAULT_SETTINGS = {
colors: 5,
cors: false,
windowSize: 50,
format: FORMATS.hex
};
function useImageColor(src) {
var _settings = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};
var settings = _objectSpread2({}, DEFAULT_SETTINGS, {}, _settings);
var _useState = useState(),
_useState2 = _slicedToArray(_useState, 2),
colors = _useState2[0],
setColors = _useState2[1];
var chunk = useCallback(function (original) {
var chunkSize = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 4;
var data = [];
for (var i = 0; i < original.length; i += chunkSize * settings.windowSize) {
data.push(original.slice(i, i + chunkSize));
}
return data;
}, [settings.windowSize]);
var mapToHex = useCallback(function (values) {
return "#".concat(values.map(function (i) {
var h = i.toString('16');
return h.length < 2 ? "0".concat(h) : h;
}).join(''));
}, []);
if (!FORMATS[settings.format]) {
throw new Error('Invalid output format');
}
useEffect(function () {
var canvas = document.createElement('canvas');
var img = document.createElement('img');
var context = canvas.getContext('2d');
if (settings.cors) {
img.setAttribute('crossOrigin', '');
}
img.onload = function () {
canvas.width = img.naturalWidth;
canvas.height = img.naturalHeight;
context.drawImage(img, 0, 0);
var _context$getImageData = context.getImageData(0, 0, img.naturalWidth, img.naturalHeight),
data = _context$getImageData.data;
var colorMap = quantize(chunk(data, CHANNELS), settings.colors);
var pallete = colorMap.palette();
setColors(settings.format === FORMATS.rgb ? pallete : pallete.map(mapToHex));
};
img.src = src;
}, [src, settings.cors, settings.colors, settings.format, chunk, mapToHex]);
return {
colors: colors
};
}
var wrapperDiv = {
width: '100%',
position: 'relative'
};
var bg = {
top: 0,
left: 0,
right: 0,
bottom: 0,
width: '100%',
height: '100%',
position: 'absolute'
};
var imageStyle = {
width: '100%',
height: 'auto',
display: 'block',
position: 'relative'
};
function ImageComponent(_ref) {
var src = _ref.src,
_ref$style = _ref.style,
style = _ref$style === void 0 ? {} : _ref$style,
thumbnail = _ref.thumbnail,
_ref$wrapperStyle = _ref.wrapperStyle,
wrapperStyle = _ref$wrapperStyle === void 0 ? {} : _ref$wrapperStyle,
_ref$wrapperClassName = _ref.wrapperClassName,
wrapperClassName = _ref$wrapperClassName === void 0 ? '' : _ref$wrapperClassName,
props = _objectWithoutProperties(_ref, ["src", "style", "thumbnail", "wrapperStyle", "wrapperClassName"]);
var _useImageColor = useImageColor(thumbnail, {
cors: true
}),
colors = _useImageColor.colors;
return React.createElement("div", {
className: wrapperClassName,
style: _objectSpread2({}, wrapperDiv, {}, wrapperStyle)
}, colors && React.createElement("div", {
style: _objectSpread2({}, bg, {
backgroundColor: colors[0]
})
}), React.createElement("img", _extends({
style: _objectSpread2({}, imageStyle, {}, style),
src: src
}, props)));
}
export default useImageColor;
export { ImageComponent as Image };
//# sourceMappingURL=index.es.js.map