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This project is no longer maintained. Device Farmer uses https://github.com/Julusian/node-jpeg-turbo now instead.

node-jpeg-turbo

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node-jpeg-turbo provides minimal libjpeg-turbo bindings for Node.js. It is very, very fast compared to other alternatives, such as node-imagemagick-native or jpeg-js.

Please ask if you need more methods exposed.

Requirements

Only the most recent version of Node still in active Long-term Support (currently v4) and greater are supported. Older versions may or may not work; they are not and will not be supported.

We provide prebuilt bindings for some platforms using prebuilt-bindings, meaning that you should not have to compile native bindings from source very often. The bindings are hosted at and automatically installed from our GitHub Releases.

If you must build from source

First, if you're building from the repo, make sure to init and update submodules or you'll get confusing errors about missing targets when building. We include libjpeg-turbo as a submodule.

git submodule init
git submodule update

(or just use git clone --recursive when cloning the repo)

Due to massive linking pain on Ubuntu, we embed and build libjpeg-turbo directly with node-gyp. Unfortunately this adds an extra requirement, as the build process needs yasm to enable all optimizations. Note that this step is only required for x86 and x86_64 architectures. You don't need yasm if you're building on arm, for example.

Here's how to install yasm:

On OS X

brew install yasm

On Ubuntu 14.04

apt-get install yasm

On Ubuntu 12.04

apt-get install yasm

Important! Ubuntu 12.04 comes with GCC 4.6, which is too old to compile the add-on (and most other modules since Node.js 4.0 was released). More information is available here.

If you really must use this module on Ubuntu 12.04, the following may work:

apt-get install python-software-properties
add-apt-repository -y ppa:ubuntu-toolchain-r/test
apt-get -y install g++-4.8
export CXX=g++-4.8

Remember to export CXX when you npm install.

On Debian

apt-get install yasm

On Alpine Linux

apk add yasm

On Windows

Download Win32 or Win64 yasm from here and make sure it's found in path as yasm.exe. Use the "for general use" version. If the .exe doesn't run, or complains about a missing MSVCR100.dll, go to KB2977003 and find "Microsoft Visual C++ 2010 Service Pack 1 Redistributable Package MFC Security Update" under "Visual Studio 2010 (VC++ 10.0) SP1". The .exe should work fine after installing the redistributable.

To verify your yasm setup, run:

yasm

This should give the output:

yasm: No input files specified

Next, you need to make sure that you have a build environment set up. An easy way to do that is to use windows-build-tools.

Now, just to make sure things are set up properly, run:

npm config get msvs_version

If the output is 2015 or newer, you're good. If it's anything else, or not set, you must run:

npm config set -g msvs_version 2015

Alternatively, you can specify the option at install time with --msvs_version=2015.

Others

Search your package manager for yasm.

Installation

Make sure you've got the requirements installed first.

Using yarn:

yarn add jpeg-turbo

Using npm:

npm install --save jpeg-turbo

API

jpg.bufferSize(options)Number

If you'd like to preallocate a Buffer for jpg.compressSync(), use this method to get the worst-case upper bound. The options argument is fully compatible with the jpg.compressSync() method, so that you can pass the same options to both functions.

var fs = require('fs')
var jpg = require('jpeg-turbo')

var raw = fs.readFileSync('raw.rgba')

var options = {
  format: jpg.FORMAT_RGBA,
  width: 1080,
  height: 1920,
  subsampling: jpg.SAMP_444,
}

var preallocated = new Buffer(jpg.bufferSize(options))

var encoded = jpg.compressSync(raw, preallocated, options)

jpg.compressSync(raw[, out], options)Buffer

Compresses (i.e. encodes) the raw pixel data into a JPG. This method is not capable of resizing the image.

For efficiency reasons you may choose to encode into a preallocated Buffer. While fast, it has a number of drawbacks. Namely, you'll have to be careful not to reuse the buffer in async processing before processing (e.g. saving, displaying or transmitting) the entire encoded image. Otherwise you risk corrupting the image. Also, it wastes a huge amount of space compared to on-demand allocation.

var fs = require('fs')
var jpg = require('jpeg-turbo')

var raw = fs.readFileSync('raw.rgba')

var options = {
  format: jpg.FORMAT_RGBA,
  width: 1080,
  height: 1920,
  subsampling: jpg.SAMP_444,
}

var encoded = jpg.compressSync(raw, options)

See jpg.bufferSize() for an example of preallocated Buffer usage.

jpg.decompressSync(image[, out], options)Object

Decompresses (i.e. decodes) the JPG image into raw pixel data.

var fs = require('fs')
var jpg = require('jpeg-turbo')

var image = fs.readFileSync('image.jpg')

var options = {
  format: jpg.FORMAT_RGBA,
}

var decoded = jpg.decompressSync(image, options)

Thanks

License

See LICENSE.

Copyright © Simo Kinnunen. All Rights Reserved.