# libvips : an image processing library [![Build Status](https://travis-ci.org/jcupitt/libvips.svg?branch=master)](https://travis-ci.org/jcupitt/libvips) [![Coverity Status](https://scan.coverity.com/projects/6503/badge.svg)](https://scan.coverity.com/projects/jcupitt-libvips) libvips is a 2D image processing library. Compared to similar libraries, [libvips runs quickly and uses little memory](https://github.com/jcupitt/libvips/wiki/Speed-and-memory-use). libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolutions, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric formats, from 8-bit int to 128-bit complex. It supports a good range of image formats, including JPEG, TIFF, PNG, WebP, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM, CSV, GIF, Analyze, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick. It has APIs for [C](http://jcupitt.github.io/libvips/API/current/using-from-c.html) and [C++](http://jcupitt.github.io/libvips/API/current/using-from-cpp.html) and comes with a [Python binding](http://jcupitt.github.io/libvips/API/current/using-from-python.html) and a [command-line interface](http://jcupitt.github.io/libvips/API/current/using-cli.html). Bindings are available for [Ruby](https://rubygems.org/gems/ruby-vips), [PHP](https://github.com/jcupitt/php-vips), [Go](https://github.com/davidbyttow/govips), JavaScript and others. There is full [documentation](http://jcupitt.github.io/libvips/API/current). There are several GUIs as well, see the [VIPS website](http://jcupitt.github.io/libvips). There are packages for most unix-like operating systems and binaries for Windows and OS X. # Building libvips from a source tarball We keep pre-baked tarballs of releases on the vips website: https://github.com/jcupitt/libvips/releases Untar, then in the libvips directory you should just be able to do: $ ./configure Check the summary at the end of `configure` carefully. libvips must have `build-essential`, `pkg-config`, `glib2.0-dev`, `libexpat1-dev`. For the vips8 Python binding, you must also have `gobject-introspection`, `python-gi-dev`, and `libgirepository1.0-dev`. You'll need the dev packages for the file format support you want. For basic jpeg and tiff support, you'll need `libtiff5-dev`, `libjpeg-turbo8-dev`, and `libgsf-1-dev`. See the **Dependencies** section below for a full list of the things that libvips can be configured to use. Once `configure` is looking OK, compile and install with the usual: $ make $ sudo make install By default this will install files to `/usr/local`. We have detailed guides on the wiki for [building on Windows](https://github.com/jcupitt/libvips/wiki/Build_for_Windows) and [building on OS X](https://github.com/jcupitt/libvips/wiki/Build_on_OS_X). # Building libvips from git Checkout the latest sources with: $ git clone git://github.com/jcupitt/libvips.git Building from git needs more packages, you'll need at least `swig`, `gtk-doc` and `gobject-introspection`, see the dependencies section below. For example: $ brew install gtk-doc swig Then build the build system with: $ ./autogen.sh Debug build: $ CFLAGS="-g -Wall" CXXFLAGS="-g -Wall" \ ./configure --prefix=/home/john/vips --enable-debug $ make $ make install Leak check: $ export G_DEBUG=gc-friendly $ valgrind --suppressions=libvips.supp \ --leak-check=yes \ vips ... > vips-vg.log 2>&1 Memory error debug: $ valgrind --vgdb=yes --vgdb-error=0 vips ... valgrind threading check: $ valgrind --tool=helgrind vips ... > vips-vg.log 2>&1 Clang build: $ CC=clang CXX=clang++ ./configure --prefix=/home/john/vips Clang static analysis: $ scan-build ./configure --disable-introspection --disable-debug $ scan-build -o scan -v make $ scan-view scan/2013-11-22-2 Clang dynamic analysis: $ FLAGS="-O1 -g -fsanitize=address" $ FLAGS="$FLAGS -fno-omit-frame-pointer -fno-optimize-sibling-calls" $ CC=clang CXX=clang++ LD=clang \ CFLAGS="$FLAGS" CXXFLAGS="$FLAGS" LDFLAGS=-fsanitize=address \ ./configure --prefix=/home/john/vips $ FLAGS="-O1 -g -fsanitize=thread" $ FLAGS="$FLAGS -fPIC" $ FLAGS="$FLAGS -fno-omit-frame-pointer -fno-optimize-sibling-calls" $ CC=clang CXX=clang++ LD=clang \ CFLAGS="$FLAGS" CXXFLAGS="$FLAGS" \ LDFLAGS="-fsanitize=thread -fPIC" \ ./configure --prefix=/home/john/vips \ --without-magick \ --disable-introspection $ G_DEBUG=gc-friendly vips copy ~/pics/k2.jpg x.jpg >& log Build with the GCC auto-vectorizer and diagnostics (or just -O3): $ FLAGS="-O2 -msse4.2 -ffast-math" $ FLAGS="$FLAGS -ftree-vectorize -fdump-tree-vect-details" $ CFLAGS="$FLAGS" CXXFLAGS="$FLAGS" \ ./configure --prefix=/home/john/vips Static analysis with: $ cppcheck --force --enable=style . &> cppcheck.log # Dependencies libvips has to have `glib2.0-dev`. Other dependencies are optional, see below. # Optional dependencies If suitable versions are found, libvips will add support for the following libraries automatically. See `./configure --help` for a set of flags to control library detection. Packages are generally found with `pkg-config`, so make sure that is working. libtiff, giflib and libjpeg do not usually use `pkg-config` so libvips looks for them in the default path and in `$prefix`. If you have installed your own versions of these libraries in a different location, libvips will not see them. Use switches to libvips configure like: ./configure --prefix=/Users/john/vips \ --with-giflib-includes=/opt/local/include \ --with-giflib-libraries=/opt/local/lib \ --with-tiff-includes=/opt/local/include \ --with-tiff-libraries=/opt/local/lib \ --with-jpeg-includes=/opt/local/include \ --with-jpeg-libraries=/opt/local/lib or perhaps: CFLAGS="-g -Wall -I/opt/local/include -L/opt/local/lib" \ CXXFLAGS="-g -Wall -I/opt/local/include -L/opt/local/lib" \ ./configure --without-python --prefix=/Users/john/vips to get libvips to see your builds. ### vips8 Python binding If `gobject-introspection`, `python-gi-dev`, and `libgirepository1.0-dev` are available, libvips will install the vips8 Python binding. ### libjpeg The IJG JPEG library. Use the `-turbo` version if you can. ### libexif If available, libvips adds support for EXIF metadata in JPEG files. ### giflib The standard gif loader. If this is not present, vips will try to load gifs via imagemagick instead. ### librsvg The usual SVG loader. If this is not present, vips will try to load SVGs via imagemagick instead. ### libpoppler The usual PDF loader. If this is not present, vips will try to load PDFs via imagemagick instead. ### libgsf-1 If available, libvips adds support for creating image pyramids with `dzsave`. ### libtiff The TIFF library. It needs to be built with support for JPEG and ZIP compression. 3.4b037 and later are known to be OK. ### fftw3 If libvips finds this library, it uses it for fourier transforms. ### lcms2, lcms If present, `vips_icc_import()`, `vips_icc_export()` and `vips_icc_transform()` are available for transforming images with ICC profiles. If `lcms2` is available it is used in preference to `lcms`, since it is faster. ### Large files libvips uses the standard autoconf tests to work out how to support large files (>2GB) on your system. Any reasonably recent unix should be OK. ### libpng If present, libvips can load and save png files. ### ImageMagick, or optionally GraphicsMagick If available, libvips adds support for loading all libMagick-supported image file types. Use `--with-magickpackage=GraphicsMagick` to build against graphicsmagick instead. Imagemagick 6.9+ needs to have been built with `--with-modules`. Most packaged IMs are, I think, but if you are rolling your own, you'll need to pass this flag to configure. If you are going to be using libvips with untrusted images, perhaps in a web-server, for example, you should consider the security implications of using a package with such a large attack surface. You might prefer not to enable Magick support. ### pangoft2 If available, libvips adds support for text rendering. You need the package pangoft2 in `pkg-config --list-all`. ### orc-0.4 If available, vips will accelerate some operations with this run-time compiler. ### matio If available, vips can load images from Matlab save files. ### cfitsio If available, vips can load FITS images. ### libwebp If available, vips can load and save WebP images. ### OpenEXR If available, libvips will directly read (but not write, sadly) OpenEXR images. ### OpenSlide If available, libvips can load OpenSlide-supported virtual slide files: Aperio, Hamamatsu, Leica, MIRAX, Sakura, Trestle, and Ventana. ### swig, python, python-dev If available, we build the vips7 python binding. # Disclaimer No guarantees of performance accompany this software, nor is any responsibility assumed on the part of the authors. Please read the licence agreement.