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merge.js
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/**
* Author: Heartsuit
* Date: 2018-06-05
* Email: [email protected]
* Blog: https://blog.csdn.net/u013810234，https://heartsuit.github.io/
*/
const fs = require('fs');
const sharp = require('sharp');
module.exports = {
stitchFixedTotalSize: (dir) => {
return new Promise((resolve, reject) => {
try {
// 1. get avatar list
dir = dir.endsWith('/') ? dir : dir + '/';
let files = fs.readdirSync(dir);
files = files.filter((item) => {
return fs.statSync(dir + item).size != 0; // remove empty image
}).map((item) => {
return item = dir + item;
})
const result = dir + 'friends.jpg';
const refined = dir + 'friends-refined.jpg';
// 2. compute sizes
/* Fixed Total Size: Floor
take advantage of the Mathematics theory: Same area
size
—————————————————
|__|n |
| n |
size | | Area: size^2 = n^2 * numberOfImages
| | (here, n is eachsize)
| |
| |
—————————————————
*/
const size = 640;
let eachsize = Math.floor(Math.sqrt((size * size) / (files.length)));
let columns = Math.floor(size / eachsize);
let x = 0;
let y = 0;
console.log(eachsize, columns, files.length, x, y);
// 3. prepare for composite
const options = {
raw: {
width: size,
height: size,
channels: 4
}
};
const base = sharp({
create: {
width: size,
height: size,
channels: 4,
background: { r: 0, g: 0, b: 0, alpha: 128 }
}
}).raw().toBuffer();
// 4. do images composite
const composite = files.reduce(function (input, overlay) {
return input.then(async function (data) {
let temp = sharp(data, options).overlayWith(await sharp(overlay).resize(eachsize, eachsize).toBuffer(), { top: eachsize * y, left: eachsize * x }).raw().toBuffer();
x += 1;
if (x == columns) {
x = 0;
y += 1;
}
return temp;
});
}, base);
// data contains the multi-composited image as raw pixel data
composite.then(function (data) {
sharp(data, {
raw: {
width: size,
height: size,
channels: 4
}
}).toFile(result, function (err, output) {
if (err) {
console.log(err);
}
console.log(output);
// 5. cut, extract a region of the input image, saving in the same format.
sharp(result)
.extract({ left: 0, top: 0, width: eachsize * columns, height: eachsize * columns })
.toFile(refined, function (err, output) {
if (err) {
console.log(err);
}
console.log(output);
resolve('friends-refined.jpg');
});
});
});
} catch (err) {
reject(err);
}
})
},
stitchFixedTotalSizeCeil: (dir) => {
return new Promise((resolve, reject) => {
try {
// 1. get avatar list
dir = dir.endsWith('/') ? dir : dir + '/';
let files = fs.readdirSync(dir);
files = files.filter((item) => {
return fs.statSync(dir + item).size != 0; // remove empty image
}).map((item) => {
return item = dir + item;
})
const result = dir + 'friends.jpg';
const refined = dir + 'friends-refined.jpg';
// 2. compute sizes
/* Fixed Total Size: Ceil
size
—————————————————
|__|n |
| n |
size | |
| |
| |
| |
—————————————————
*/
const size = 640;
let columns = Math.ceil(Math.sqrt(files.length));
let eachsize = Math.floor(size / columns);
let offset = Math.ceil(files.length / columns);
let x = 0;
let y = 0;
// 3. prepare for composite
const options = {
raw: {
width: size,
height: size,
channels: 4
}
};
const base = sharp({
create: {
width: size,
height: size,
channels: 4,
background: { r: 0, g: 0, b: 0, alpha: 128 }
}
}).raw().toBuffer();
// 4. do images composite
const composite = files.reduce(function (input, overlay) {
return input.then(async function (data) {
let temp = sharp(data, options).overlayWith(await sharp(overlay).resize(eachsize, eachsize).toBuffer(), { top: eachsize * y, left: eachsize * x }).raw().toBuffer();
x += 1;
if (x == columns) {
x = 0;
y += 1;
}
return temp;
});
}, base);
// data contains the multi-composited image as raw pixel data
composite.then(function (data) {
sharp(data, {
raw: {
width: size,
height: size,
channels: 4
}
}).toFile(result, function (err, output) {
if (err) {
console.log(err);
}
console.log(output);
// 5. cut, extract a region of the input image, saving in the same format.
sharp(result)
.extract({ left: 0, top: 0, width: eachsize * columns, height: eachsize * offset })
.toFile(refined, function (err, output) {
if (err) {
console.log(err);
}
console.log(output);
resolve('friends-refined.jpg');
});
});
});
} catch (err) {
reject(err);
}
})
},
stitchFixedEachSize: (dir) => {
return new Promise((resolve, reject) => {
try {
// 1. get avatar list
dir = dir.endsWith('/') ? dir : dir + '/';
let files = fs.readdirSync(dir);
files = files.filter((item) => {
return fs.statSync(dir + item).size != 0; // remove empty image
}).map((item) => {
return item = dir + item;
})
const result = dir + 'friends.jpg';
// 2. compute sizes
/* Fixed eachsize: Floor
width
—————————————————
|__|64 |
|64 |
height | |
| |
| |
| |
—————————————————
|_________________|
*/
const eachsize = 64;
let columns = Math.floor(Math.sqrt(files.length));
let width = columns * eachsize;
// let offset = Math.ceil(files.length / columns) + (files.length % columns == 0 ? 0 : 1);
let offset = Math.ceil(files.length / columns);
let height = eachsize * offset;
// let height = width;
// if (width * width < files.length * eachsize * eachsize) {
// let offset = Math.ceil((files.length - columns * columns) / columns);
// height = width + eachsize * offset;
// }
console.log(width, height, columns, files.length);
let x = 0;
let y = 0;
// 3. prepare for composite
const options = {
raw: {
width: width,
height: height,
channels: 4
}
};
const base = sharp({
create: {
width: width,
height: height,
channels: 4,
background: { r: 0, g: 0, b: 0, alpha: 128 }
}
}).raw().toBuffer();
// 4. do images composite
const composite = files.reduce(function (input, overlay) {
return input.then(async function (data) {
let temp = sharp(data, options).overlayWith(await sharp(overlay).resize(eachsize, eachsize).toBuffer(), { top: eachsize * y, left: eachsize * x }).raw().toBuffer();
x += 1;
if (x == columns) {
x = 0;
y += 1;
}
return temp;
});
}, base);
// data contains the multi-composited image as raw pixel data
composite.then(function (data) {
sharp(data, {
raw: {
width: width,
height: height,
channels: 4
}
}).toFile(result, function (err, output) {
if (err) {
console.log(err);
}
console.log(output);
resolve('friends.jpg');
});
});
} catch (err) {
reject(err);
}
})
},
stitchFixedEachSizeCeil: (dir) => {
return new Promise((resolve, reject) => {
try {
// 1. get avatar list
dir = dir.endsWith('/') ? dir : dir + '/';
let files = fs.readdirSync(dir);
files = files.filter((item) => {
return fs.statSync(dir + item).size != 0; // remove empty image
}).map((item) => {
return item = dir + item;
})
const result = dir + 'friends.jpg';
// 2. compute sizes
/* Fixed eachsize: Ceil
width
—————————————————
|__|64 |
|64 |
height | |
| |
| |
-|-----------------|-
—————————————————
*/
const eachsize = 64;
let columns = Math.ceil(Math.sqrt(files.length));
let width = columns * eachsize;
// let offset = Math.floor(files.length / columns) + (files.length % columns == 0 ? 0 : 1);
let offset = Math.ceil(files.length / columns);
let height = eachsize * offset;
let x = 0;
let y = 0;
// 3. prepare for composite
const options = {
raw: {
width: width,
height: height,
channels: 4
}
};
const base = sharp({
create: {
width: width,
height: height,
channels: 4,
background: { r: 0, g: 0, b: 0, alpha: 128 }
}
}).raw().toBuffer();
// 4. do images composite
const composite = files.reduce(function (input, overlay) {
return input.then(async function (data) {
let temp = sharp(data, options).overlayWith(await sharp(overlay).resize(eachsize, eachsize).toBuffer(), { top: eachsize * y, left: eachsize * x }).raw().toBuffer();
x += 1;
if (x == columns) {
x = 0;
y += 1;
}
return temp;
});
}, base);
// data contains the multi-composited image as raw pixel data
composite.then(function (data) {
sharp(data, {
raw: {
width: width,
height: height,
channels: 4
}
}).toFile(result, function (err, output) {
if (err) {
console.log(err);
}
console.log(output);
resolve('friends.jpg');
});
});
} catch (err) {
reject(err);
}
})
}
}