227 lines
6.6 KiB
Markdown
227 lines
6.6 KiB
Markdown
# libvips : an image processing library
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[](http://travis-ci.org/jcupitt/libvips)
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libvips is a 2D image processing library. Compared to similar libraries,
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[libvips runs quickly and uses little
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memory](http://www.vips.ecs.soton.ac.uk/index.php?title=Speed_and_Memory_Use).
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It has around 300 operations covering arithmetic, histograms, convolutions,
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morphological operations, frequency filtering, colour, resampling, statistics
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and others. It supports a large range of numeric formats, from 8-bit int to
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128-bit complex. It supports a good range of image formats, including
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JPEG, TIFF, PNG, FITS, Matlab, OpenEXR, and OpenSlide. It can also load
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images via ImageMagick or GraphicsMagick.
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It has APIs for C and C++ and comes with a Python
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binding and a command-line interface. Bindings are
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available for Ruby, JavaScript and others. There is [API
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documentation](http://www.vips.ecs.soton.ac.uk/supported/current/doc/html/libvips/index.html),
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plus a [tutorial-style
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manual](http://www.vips.ecs.soton.ac.uk/supported/current/doc/html/vipsmanual/vipsmanual.html).
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There's a GUI as well, see the [VIPS website](http://www.vips.ecs.soton.ac.uk).
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There are packages for most unix-like operating systems and binaries for
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Windows and OS X.
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# Building libvips from source
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In the libvips directory you should just be able to do:
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$ ./configure
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$ make
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$ sudo make install
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By default this will install files to `/usr/local`.
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See the Dependencies section below for a list of the things that
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libvips needs in order to be able to build.
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We have detailed guides on the wiki for [building on
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Windows](http://www.vips.ecs.soton.ac.uk/index.php?title=Build_on_windows)
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and [building on OS
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X](http://www.vips.ecs.soton.ac.uk/index.php?title=Build_on_OS_X).
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# Building libvips from GIT
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Checkout the latest sources with:
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$ git clone git://github.com/jcupitt/libvips.git
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Then for a debug build:
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$ ./bootstrap.sh
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$ CFLAGS="-g -Wall" CXXFLAGS="-g -Wall" \
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./configure --prefix=/home/john/vips --enable-gtk-doc
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$ make
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$ make install
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Leak check:
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$ export G_DEBUG=gc-friendly
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$ export G_SLICE=always-malloc
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$ valgrind --suppressions=libvips.supp \
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--leak-check=yes \
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vips ... > vips-vg.log 2>&1
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valgrind threading check:
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$ valgrind --tool=helgrind vips ... > vips-vg.log 2>&1
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Clang build:
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$ CC=clang CXX=clang++ ./configure --prefix=/home/john/vips
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Clang static analysis:
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$ scan-build ./configure --disable-introspection
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$ scan-build -o scan -v make
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$ scan-view scan/2013-11-22-2
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Clang dynamic analysis:
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$ FLAGS="-O1 -g -fsanitize=address"
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$ FLAGS="$FLAGS -fno-omit-frame-pointer -fno-optimize-sibling-calls"
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$ CC=clang CXX=clang++ LD=clang \
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CFLAGS="$FLAGS" CXXFLAGS="$FLAGS" LDFLAGS=-fsanitize=address \
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./configure --prefix=/home/john/vips --disable-introspection
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$ FLAGS="-O1 -g -fsanitize=thread"
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$ FLAGS="$FLAGS -fPIC -pie"
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$ FLAGS="$FLAGS -fno-omit-frame-pointer -fno-optimize-sibling-calls"
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$ CC=clang CXX=clang++ LD=clang \
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CFLAGS="$FLAGS" CXXFLAGS="$FLAGS" \
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LDFLAGS="-fsanitize=thread -fPIC -pie" \
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./configure --prefix=/home/john/vips --disable-introspection
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Build with the GCC auto-vectorizer and diagnostics (or just -O3):
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$ FLAGS="-O2 -msse4.2 -ffast-math"
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$ FLAGS="$FLAGS -ftree-vectorize -fdump-tree-vect-details"
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$ CFLAGS="$FLAGS" CXXFLAGS="$FLAGS" \
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./configure --prefix=/home/john/vips --disable-introspection \
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--enable-debug=no
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Static analysis with:
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$ cppcheck --force --enable=style . &> cppcheck.log
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# Dependencies
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libvips has to have gettext, glib-2.x and libxml-2.0. The build system needs
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sh, pkg-config, swig, gtk-doc-tools, automake, gobject-introspection and gnu make.
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# Optional dependencies
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If suitable versions are found, libvips will add support for the following
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libraries automatically. See `./configure --help` for a set of flags to
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control library detection. Packages are generally found with `pkg-config`,
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so make sure that is working.
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libtiff and libjpeg do not usually use pkg-config so libvips looks for
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them in the default path and in $prefix. If you have installed your own
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versions of these libraries in a different location, libvips will not see
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them. Use switches to libvips configure like:
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./configure --prefix=/Users/john/vips \
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--with-tiff-includes=/opt/local/include \
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--with-tiff-libraries=/opt/local/lib \
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--with-jpeg-includes=/opt/local/include \
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--with-jpeg-libraries=/opt/local/lib
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or perhaps:
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CFLAGS="-g -Wall -I/opt/local/include -L/opt/local/lib" \
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CXXFLAGS="-g -Wall -I/opt/local/include -L/opt/local/lib" \
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./configure --without-python --prefix=/Users/john/vips
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to get libvips to see your builds.
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## libjpeg
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The IJG JPEG library.
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## libexif
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If available, libvips adds support for EXIF metadata in JPEG files.
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## libgsf-1
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If available, libvips adds support for creating image pyramids with dzsave.
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## libtiff
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The TIFF library. It needs to be built with support for JPEG and
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ZIP compression. 3.4b037 and later are known to be OK.
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## libz
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If your TIFF library includes ZIP compression, you'll need this too.
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## fftw3
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If libvips finds this library, it uses it for fourier transforms. It
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can also use fftw2, but 3 is faster and more accurate.
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## lcms2, lcms
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If present, im_icc_import(), _export() and _transform() are available
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for transforming images with ICC profiles. If lcms2 is available,
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it is used in preference to lcms since it is faster.
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## Large files
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libvips uses the standard autoconf tests to work out how to support
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large files (>2GB) on your system. Any reasonably recent *nix should
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be OK.
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## libpng
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If present, libvips can load and save png files.
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## libMagick, or optionally GraphicsMagick
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if available, libvips adds support for loading all libMagick supported
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image file types (about 80 different formats). Use
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`--with-magickpackage` to build against graphicsmagick instead.
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## pangoft2
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If available, libvips adds support for text rendering. You need the
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package pangoft2 in `pkg-config --list-all`.
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## orc-0.4
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If available, vips will accelerate some operations with this run-time
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compiler.
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## matio
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If available, vips can load images from Matlab save files.
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## cfitsio
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If available, vips can load FITS images.
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## OpenEXR
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If available, libvips will directly read (but not write, sadly)
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OpenEXR images.
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## OpenSlide
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If available, libvips can load OpenSlide-supported virtual slide
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files: Aperio, Hamamatsu, Leica, MIRAX, Sakura, Trestle, and Ventana.
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## swig, python, python-dev
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If available, we build the python binding too.
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# Disclaimer
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No guarantees of performance accompany this software, nor is any
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responsibility assumed on the part of the authors. Please read the licence
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agreement.
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