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4 Commits

Author SHA1 Message Date
Lovell Fuller
f99e42d447 Add support for auto-scaling of width and height 2014-03-03 23:24:09 +00:00
Lovell Fuller
9b4387be97 Improve installation instructions for libvips 2014-02-28 23:11:05 +00:00
Lovell Fuller
9c3631ecb7 Add comparative performance tests using random dimensions 2014-02-28 22:39:02 +00:00
Lovell Fuller
31ca68fb14 Improve documentation of cache method 2014-02-28 22:37:59 +00:00
6 changed files with 163 additions and 18 deletions

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@@ -18,9 +18,23 @@ Under the hood you'll find the blazingly fast [libvips](https://github.com/jcupi
## Prerequisites
* Node.js v0.8+
* [libvips](https://github.com/jcupitt/libvips) v7.38+
* [libvips](https://github.com/jcupitt/libvips) v7.38.5+
For the sharpest results, please compile libvips from source.
### Install libvips on Mac OS via homebrew
brew tap homebrew/science
brew install vips
### Install libvips on Ubuntu Linux
sudo apt-get install automake build-essential git gobject-introspection gtk-doc-tools libfftw3-dev libglib2.0-dev libjpeg-turbo8-dev libpng12-dev libwebp-dev libtiff5-dev liborc-0.4-dev libxml2-dev swig
git clone https://github.com/jcupitt/libvips.git
cd libvips
./bootstrap.sh
./configure --enable-debug=no
make
sudo make install
sudo ldconfig
## Install
@@ -38,9 +52,9 @@ Scale and crop to `width` x `height` calling `callback` when complete.
`output` can either be a filename String or one of `sharp.buffer.jpeg`, `sharp.buffer.png` or `sharp.buffer.webp` to pass a Buffer containing JPEG, PNG or WebP image data to `callback`.
`width` is the Number of pixels wide the resultant image should be.
`width` is the Number of pixels wide the resultant image should be. Use a value of -1 to auto-scale the width to match the height.
`height` is the Number of pixels high the resultant image should be.
`height` is the Number of pixels high the resultant image should be. Use a value of -1 to auto-scale the height to match the width.
`options` is optional, and can contain one or more of:
@@ -64,20 +78,20 @@ sharp.resize("input.jpg", "output.jpg", 300, 200, function(err) {
```
```javascript
sharp.resize("input.jpg", sharp.buffer.jpeg, 300, 200, {progressive: true}, function(err, buffer) {
sharp.resize("input.jpg", sharp.buffer.jpeg, -1, 200, {progressive: true}, function(err, buffer) {
if (err) {
throw err;
}
// buffer contains progressive JPEG image data
// buffer contains progressive JPEG image data, 200 pixels high
});
```
```javascript
sharp.resize("input.webp", sharp.buffer.png, 300, 200, {sharpen: true}, function(err, buffer) {
sharp.resize("input.webp", sharp.buffer.png, 300, -1, {sharpen: true}, function(err, buffer) {
if (err) {
throw err;
}
// buffer contains sharpened PNG image data (converted from JPEG)
// buffer contains sharpened PNG image data (converted from JPEG), 300 pixels wide
});
```
@@ -103,11 +117,11 @@ sharp.resize("input.jpg", sharp.buffer.webp, 200, 300, {canvas: sharp.canvas.emb
### cache([limit])
If `limit` is provided, set the `vips` internal cache limit to this value in MB. The default value is 100.
If `limit` is provided, set the (soft) limit of _libvips_ working/cache memory to this value in MB. The default value is 100.
Always returns cache statistics, namely current usage, high water mark and maximum limit.
This method always returns cache statistics, useful for determining how much working memory is required for a particular task.
The high water mark may be higher than the maximum limit.
Warnings such as _Application transferred too many scanlines_ are a good indicator you've set this value too low.
```javascript
var stats = sharp.cache(); // { current: 98, high: 115, limit: 100 }

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@@ -42,6 +42,10 @@ module.exports.resize = function(input, output, width, height, options, callback
callback("Invalid height " + height);
return;
}
if (outWidth < 1 && outHeight < 1) {
callback("Width and/or height required");
return;
}
var canvas = options.canvas || "c";
if (canvas.length !== 1 || "cwb".indexOf(canvas) === -1) {
callback("Invalid canvas " + canvas);
@@ -50,15 +54,16 @@ module.exports.resize = function(input, output, width, height, options, callback
var sharpen = !!options.sharpen;
var progessive = !!options.progessive;
var sequentialRead = !!options.sequentialRead;
sharp.resize(options.inFile, options.inBuffer, output, width, height, canvas, sharpen, progessive, sequentialRead, callback);
sharp.resize(options.inFile, options.inBuffer, output, outWidth, outHeight, canvas, sharpen, progessive, sequentialRead, callback);
};
module.exports.cache = function(limit) {
"use strict";
if (Number.isNaN(limit)) {
limit = null;
}
return sharp.cache(limit);
}
};
/* Deprecated v0.0.x methods */
module.exports.crop = function(input, output, width, height, sharpen, callback) {

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@@ -1,10 +1,10 @@
{
"name": "sharp",
"version": "0.1.7",
"version": "0.1.8",
"author": "Lovell Fuller",
"description": "High performance module to resize JPEG, PNG, WebP and TIFF images using the libvips image processing library",
"scripts": {
"test": "node tests/perf.js"
"test": "node tests/unit && node tests/perf"
},
"main": "index.js",
"repository": {

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@@ -15,8 +15,8 @@ struct resize_baton {
std::string file_out;
void* buffer_out;
size_t buffer_out_len;
int width;
int height;
int width;
int height;
bool crop;
VipsExtend extend;
bool sharpen;
@@ -119,7 +119,24 @@ void resize_async(uv_work_t *work) {
double xfactor = static_cast<double>(in->Xsize) / std::max(baton->width, 1);
double yfactor = static_cast<double>(in->Ysize) / std::max(baton->height, 1);
double factor = baton->crop ? std::min(xfactor, yfactor) : std::max(xfactor, yfactor);
double factor;
if (baton->width > 0 && baton->height > 0) {
// Fixed width and height
factor = baton->crop ? std::min(xfactor, yfactor) : std::max(xfactor, yfactor);
} else if (baton->width > 0) {
// Fixed width, auto height
factor = xfactor;
baton->height = floor(in->Ysize * factor);
} else if (baton->height > 0) {
// Fixed height, auto width
factor = yfactor;
baton->width = floor(in->Xsize * factor);
} else {
resize_error(baton, in);
(baton->err).append("Width and/or height required");
return;
}
factor = std::max(factor, 1.0);
int shrink = floor(factor);
double residual = shrink / factor;

75
tests/random.js Executable file
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@@ -0,0 +1,75 @@
var sharp = require("../index");
var fs = require("fs");
var imagemagick = require("imagemagick");
var gm = require("gm");
var epeg = require("epeg");
var async = require("async");
var assert = require("assert");
var Benchmark = require("benchmark");
var inputJpg = __dirname + "/2569067123_aca715a2ee_o.jpg"; // http://www.flickr.com/photos/grizdave/2569067123/
var outputJpg = __dirname + "/output.jpg";
var min = 320;
var max = 960;
var randomDimension = function() {
return Math.random() * (max - min) + min;
};
new Benchmark.Suite("random").add("imagemagick", {
defer: true,
fn: function(deferred) {
imagemagick.resize({
srcPath: inputJpg,
dstPath: outputJpg,
quality: 0.8,
width: randomDimension(),
height: randomDimension()
}, function(err) {
if (err) {
throw err;
} else {
deferred.resolve();
}
});
}
}).add("gm", {
defer: true,
fn: function(deferred) {
gm(inputJpg).resize(randomDimension(), randomDimension()).quality(80).toBuffer(function (err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).add("epeg", {
defer: true,
fn: function(deferred) {
var image = new epeg.Image({path: inputJpg});
var buffer = image.downsize(randomDimension(), randomDimension(), 80).process();
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
}).add("sharp", {
defer: true,
fn: function(deferred) {
sharp.resize(inputJpg, sharp.buffer.jpeg, randomDimension(), randomDimension(), function(err, buffer) {
if (err) {
throw err;
} else {
assert.notStrictEqual(null, buffer);
deferred.resolve();
}
});
}
}).on("cycle", function(event) {
console.log(String(event.target));
}).on("complete", function() {
var winner = this.filter("fastest").pluck("name");
assert.strictEqual("sharp", String(winner), "sharp was slower than " + winner);
console.dir(sharp.cache());
}).run();

34
tests/unit.js Executable file
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@@ -0,0 +1,34 @@
var sharp = require("../index");
var imagemagick = require("imagemagick");
var assert = require("assert");
var inputJpg = __dirname + "/2569067123_aca715a2ee_o.jpg"; // http://www.flickr.com/photos/grizdave/2569067123/
var outputJpg = __dirname + "/output.jpg";
sharp.resize(inputJpg, outputJpg, 320, 240, function(err) {
if (err) throw err;
imagemagick.identify(outputJpg, function(err, features) {
if (err) throw err;
assert.strictEqual(320, features.width);
assert.strictEqual(240, features.height);
sharp.resize(inputJpg, outputJpg, 320, -1, function(err) {
if (err) throw err;
imagemagick.identify(outputJpg, function(err, features) {
if (err) throw err;
assert.strictEqual(320, features.width);
assert.strictEqual(262, features.height);
});
sharp.resize(inputJpg, outputJpg, -1, 320, function(err) {
if (err) throw err;
imagemagick.identify(outputJpg, function(err, features) {
if (err) throw err;
assert.strictEqual(392, features.width);
assert.strictEqual(320, features.height);
});
});
});
});
});