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@jimp/plugin-gaussian

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@jimp/plugin-gaussian - npm Package Compare versions

Comparing version 0.20.2 to 0.21.0--canary.1149.3239903.0

119

dist/index.js

@@ -6,6 +6,4 @@ "use strict";

});
exports["default"] = void 0;
exports.default = void 0;
var _utils = require("@jimp/utils");
/**

@@ -17,73 +15,58 @@ * Applies a true Gaussian blur to the image (warning: this is VERY slow)

*/
var _default = function _default() {
return {
gaussian: function gaussian(r, cb) {
// http://blog.ivank.net/fastest-gaussian-blur.html
if (typeof r !== "number") {
return _utils.throwError.call(this, "r must be a number", cb);
var _default = () => ({
gaussian(r, cb) {
// http://blog.ivank.net/fastest-gaussian-blur.html
if (typeof r !== "number") {
return _utils.throwError.call(this, "r must be a number", cb);
}
if (r < 1) {
return _utils.throwError.call(this, "r must be greater than 0", cb);
}
const rs = Math.ceil(r * 2.57); // significant radius
const range = rs * 2 + 1;
const rr2 = r * r * 2;
const rr2pi = rr2 * Math.PI;
const weights = [];
for (let y = 0; y < range; y++) {
weights[y] = [];
for (let x = 0; x < range; x++) {
const dsq = (x - rs) ** 2 + (y - rs) ** 2;
weights[y][x] = Math.exp(-dsq / rr2) / rr2pi;
}
if (r < 1) {
return _utils.throwError.call(this, "r must be greater than 0", cb);
}
var rs = Math.ceil(r * 2.57); // significant radius
var range = rs * 2 + 1;
var rr2 = r * r * 2;
var rr2pi = rr2 * Math.PI;
var weights = [];
for (var y = 0; y < range; y++) {
weights[y] = [];
for (var x = 0; x < range; x++) {
var dsq = Math.pow(x - rs, 2) + Math.pow(y - rs, 2);
weights[y][x] = Math.exp(-dsq / rr2) / rr2pi;
}
}
for (var _y = 0; _y < this.bitmap.height; _y++) {
for (var _x = 0; _x < this.bitmap.width; _x++) {
var red = 0;
var green = 0;
var blue = 0;
var alpha = 0;
var wsum = 0;
for (var iy = 0; iy < range; iy++) {
for (var ix = 0; ix < range; ix++) {
var x1 = Math.min(this.bitmap.width - 1, Math.max(0, ix + _x - rs));
var y1 = Math.min(this.bitmap.height - 1, Math.max(0, iy + _y - rs));
var weight = weights[iy][ix];
var _idx = y1 * this.bitmap.width + x1 << 2;
red += this.bitmap.data[_idx] * weight;
green += this.bitmap.data[_idx + 1] * weight;
blue += this.bitmap.data[_idx + 2] * weight;
alpha += this.bitmap.data[_idx + 3] * weight;
wsum += weight;
}
var idx = _y * this.bitmap.width + _x << 2;
this.bitmap.data[idx] = Math.round(red / wsum);
this.bitmap.data[idx + 1] = Math.round(green / wsum);
this.bitmap.data[idx + 2] = Math.round(blue / wsum);
this.bitmap.data[idx + 3] = Math.round(alpha / wsum);
}
for (let y = 0; y < this.bitmap.height; y++) {
for (let x = 0; x < this.bitmap.width; x++) {
let red = 0;
let green = 0;
let blue = 0;
let alpha = 0;
let wsum = 0;
for (let iy = 0; iy < range; iy++) {
for (let ix = 0; ix < range; ix++) {
const x1 = Math.min(this.bitmap.width - 1, Math.max(0, ix + x - rs));
const y1 = Math.min(this.bitmap.height - 1, Math.max(0, iy + y - rs));
const weight = weights[iy][ix];
const idx = y1 * this.bitmap.width + x1 << 2;
red += this.bitmap.data[idx] * weight;
green += this.bitmap.data[idx + 1] * weight;
blue += this.bitmap.data[idx + 2] * weight;
alpha += this.bitmap.data[idx + 3] * weight;
wsum += weight;
}
const idx = y * this.bitmap.width + x << 2;
this.bitmap.data[idx] = Math.round(red / wsum);
this.bitmap.data[idx + 1] = Math.round(green / wsum);
this.bitmap.data[idx + 2] = Math.round(blue / wsum);
this.bitmap.data[idx + 3] = Math.round(alpha / wsum);
}
}
if ((0, _utils.isNodePattern)(cb)) {
cb.call(this, null, this);
}
return this;
}
};
};
exports["default"] = _default;
if ((0, _utils.isNodePattern)(cb)) {
cb.call(this, null, this);
}
return this;
}
});
exports.default = _default;
module.exports = exports.default;
//# sourceMappingURL=index.js.map

@@ -1,10 +0,3 @@

"use strict";
import { isNodePattern, throwError } from "@jimp/utils";
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = void 0;
var _utils = require("@jimp/utils");
/**

@@ -16,72 +9,56 @@ * Applies a true Gaussian blur to the image (warning: this is VERY slow)

*/
var _default = function _default() {
return {
gaussian: function gaussian(r, cb) {
// http://blog.ivank.net/fastest-gaussian-blur.html
if (typeof r !== "number") {
return _utils.throwError.call(this, "r must be a number", cb);
export default (() => ({
gaussian(r, cb) {
// http://blog.ivank.net/fastest-gaussian-blur.html
if (typeof r !== "number") {
return throwError.call(this, "r must be a number", cb);
}
if (r < 1) {
return throwError.call(this, "r must be greater than 0", cb);
}
const rs = Math.ceil(r * 2.57); // significant radius
const range = rs * 2 + 1;
const rr2 = r * r * 2;
const rr2pi = rr2 * Math.PI;
const weights = [];
for (let y = 0; y < range; y++) {
weights[y] = [];
for (let x = 0; x < range; x++) {
const dsq = (x - rs) ** 2 + (y - rs) ** 2;
weights[y][x] = Math.exp(-dsq / rr2) / rr2pi;
}
if (r < 1) {
return _utils.throwError.call(this, "r must be greater than 0", cb);
}
var rs = Math.ceil(r * 2.57); // significant radius
var range = rs * 2 + 1;
var rr2 = r * r * 2;
var rr2pi = rr2 * Math.PI;
var weights = [];
for (var y = 0; y < range; y++) {
weights[y] = [];
for (var x = 0; x < range; x++) {
var dsq = Math.pow(x - rs, 2) + Math.pow(y - rs, 2);
weights[y][x] = Math.exp(-dsq / rr2) / rr2pi;
}
}
for (var _y = 0; _y < this.bitmap.height; _y++) {
for (var _x = 0; _x < this.bitmap.width; _x++) {
var red = 0;
var green = 0;
var blue = 0;
var alpha = 0;
var wsum = 0;
for (var iy = 0; iy < range; iy++) {
for (var ix = 0; ix < range; ix++) {
var x1 = Math.min(this.bitmap.width - 1, Math.max(0, ix + _x - rs));
var y1 = Math.min(this.bitmap.height - 1, Math.max(0, iy + _y - rs));
var weight = weights[iy][ix];
var _idx = y1 * this.bitmap.width + x1 << 2;
red += this.bitmap.data[_idx] * weight;
green += this.bitmap.data[_idx + 1] * weight;
blue += this.bitmap.data[_idx + 2] * weight;
alpha += this.bitmap.data[_idx + 3] * weight;
wsum += weight;
}
var idx = _y * this.bitmap.width + _x << 2;
this.bitmap.data[idx] = Math.round(red / wsum);
this.bitmap.data[idx + 1] = Math.round(green / wsum);
this.bitmap.data[idx + 2] = Math.round(blue / wsum);
this.bitmap.data[idx + 3] = Math.round(alpha / wsum);
}
for (let y = 0; y < this.bitmap.height; y++) {
for (let x = 0; x < this.bitmap.width; x++) {
let red = 0;
let green = 0;
let blue = 0;
let alpha = 0;
let wsum = 0;
for (let iy = 0; iy < range; iy++) {
for (let ix = 0; ix < range; ix++) {
const x1 = Math.min(this.bitmap.width - 1, Math.max(0, ix + x - rs));
const y1 = Math.min(this.bitmap.height - 1, Math.max(0, iy + y - rs));
const weight = weights[iy][ix];
const idx = y1 * this.bitmap.width + x1 << 2;
red += this.bitmap.data[idx] * weight;
green += this.bitmap.data[idx + 1] * weight;
blue += this.bitmap.data[idx + 2] * weight;
alpha += this.bitmap.data[idx + 3] * weight;
wsum += weight;
}
const idx = y * this.bitmap.width + x << 2;
this.bitmap.data[idx] = Math.round(red / wsum);
this.bitmap.data[idx + 1] = Math.round(green / wsum);
this.bitmap.data[idx + 2] = Math.round(blue / wsum);
this.bitmap.data[idx + 3] = Math.round(alpha / wsum);
}
}
if ((0, _utils.isNodePattern)(cb)) {
cb.call(this, null, this);
}
return this;
}
};
};
exports["default"] = _default;
if (isNodePattern(cb)) {
cb.call(this, null, this);
}
return this;
}
}));
//# sourceMappingURL=index.js.map
{
"name": "@jimp/plugin-gaussian",
"version": "0.20.2",
"version": "0.21.0--canary.1149.3239903.0",
"description": "gaussian blur an image.",

@@ -21,4 +21,3 @@ "main": "dist/index.js",

"dependencies": {
"@babel/runtime": "^7.7.2",
"@jimp/utils": "^0.20.2"
"@jimp/utils": "0.21.0--canary.1149.3239903.0"
},

@@ -31,3 +30,3 @@ "peerDependencies": {

},
"gitHead": "cebbdb72f889102a8e3c42b25ad3243b16e3a485"
"gitHead": "323990352ce279d67297aed097b37bd8ec66ef51"
}

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