296 lines
8.9 KiB
Markdown
296 lines
8.9 KiB
Markdown
# libvips : an image processing library
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[](https://travis-ci.org/jcupitt/libvips)
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[](https://scan.coverity.com/projects/jcupitt-libvips)
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libvips is a 2D image processing library. Compared to
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similar libraries, [libvips runs quickly and uses little
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memory](https://github.com/jcupitt/libvips/wiki/Speed-and-memory-use).
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libvips is licensed under the LGPL 2.1+.
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It has around 300 operations covering arithmetic, histograms,
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convolutions, morphological operations, frequency filtering, colour,
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resampling, statistics and others. It supports a large range of numeric
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formats, from 8-bit int to 128-bit complex. It supports a good range of
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image formats, including JPEG, TIFF, PNG, WebP, FITS, Matlab, OpenEXR,
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PDF, SVG, HDR, PPM, CSV, GIF, Analyze, DeepZoom, and OpenSlide. It can
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also load images via ImageMagick or GraphicsMagick.
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It has APIs for
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[C](http://jcupitt.github.io/libvips/API/current/using-from-c.html)
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and
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[C++](http://jcupitt.github.io/libvips/API/current/using-from-cpp.html)
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and comes with a [Python
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binding](http://jcupitt.github.io/libvips/API/current/using-from-python.html)
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and a [command-line
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interface](http://jcupitt.github.io/libvips/API/current/using-cli.html).
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Bindings are available for [Ruby](https://rubygems.org/gems/ruby-vips),
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[PHP](https://github.com/jcupitt/php-vips),
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[Go](https://github.com/davidbyttow/govips),
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[Lua](https://github.com/jcupitt/lua-vips),
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JavaScript and others. There is full
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[documentation](http://jcupitt.github.io/libvips/API/current).
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There are several GUIs as well, see the [VIPS
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website](http://jcupitt.github.io/libvips).
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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 a source tarball
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We keep pre-baked tarballs of releases on the vips website:
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https://github.com/jcupitt/libvips/releases
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Untar, then in the libvips directory you should just be able to do:
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$ ./configure
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Check the summary at the end of `configure` carefully.
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libvips must have `build-essential`, `pkg-config`, `glib2.0-dev`,
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`libexpat1-dev`.
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For the vips8 Python binding, you must also have
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`gobject-introspection`, `python-gi-dev`, and `libgirepository1.0-dev`.
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You'll need the dev packages for the file format support you
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want. For basic jpeg and tiff support, you'll need `libtiff5-dev`,
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`libjpeg-turbo8-dev`, and `libgsf-1-dev`. See the **Dependencies** section
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below for a full list of the things that libvips can be configured to use.
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Once `configure` is looking OK, compile and install with the usual:
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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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We have detailed guides on the wiki for [building on
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Windows](https://github.com/jcupitt/libvips/wiki/Build_for_Windows)
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and [building on OS
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X](https://github.com/jcupitt/libvips/wiki/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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Building from git needs more packages, you'll need at least `swig`, `gtk-doc`
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and `gobject-introspection`, see the dependencies section below. For example:
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$ brew install gtk-doc swig
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Then build the build system with:
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$ ./autogen.sh
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Debug build:
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$ CFLAGS="-g -Wall" CXXFLAGS="-g -Wall" \
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./configure --prefix=/home/john/vips --enable-debug
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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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$ 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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Memory error debug:
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$ valgrind --vgdb=yes --vgdb-error=0 vips ...
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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 --disable-debug
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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
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$ FLAGS="-O1 -g -fsanitize=thread"
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$ FLAGS="$FLAGS -fPIC"
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$ 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" \
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./configure --prefix=/home/john/vips \
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--without-magick \
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--disable-introspection
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$ G_DEBUG=gc-friendly vips copy ~/pics/k2.jpg x.jpg >& log
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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
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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 `glib2.0-dev`. Other dependencies are optional, see below.
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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, giflib 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-giflib-includes=/opt/local/include \
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--with-giflib-libraries=/opt/local/lib \
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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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### vips8 Python binding
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If `gobject-introspection`, `python-gi-dev`, and `libgirepository1.0-dev` are
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available, libvips will install the vips8 Python binding.
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### libjpeg
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The IJG JPEG library. Use the `-turbo` version if you can.
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### libexif
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If available, libvips adds support for EXIF metadata in JPEG files.
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### giflib
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The standard gif loader. If this is not present, vips will try to load gifs
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via imagemagick instead.
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### librsvg
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The usual SVG loader. If this is not present, vips will try to load SVGs
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via imagemagick instead.
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### libpoppler
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The usual PDF loader. If this is not present, vips will try to load PDFs
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via imagemagick instead.
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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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### fftw3
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If libvips finds this library, it uses it for fourier transforms.
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### lcms2, lcms
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If present, `vips_icc_import()`, `vips_icc_export()` and `vips_icc_transform()`
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are available for transforming images with ICC profiles. If `lcms2` is
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available 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 unix 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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### ImageMagick, or optionally GraphicsMagick
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If available, libvips adds support for loading all libMagick-supported
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image file types. Use `--with-magickpackage=GraphicsMagick` to build against
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graphicsmagick instead.
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Imagemagick 6.9+ needs to have been built with `--with-modules`. Most packaged
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IMs are, I think, but if you are rolling your own, you'll need to pass
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this flag to configure.
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If you are going to be using libvips with untrusted images, perhaps in a
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web-server, for example, you should consider the security implications of
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using a package with such a large attack surface. You might prefer not to
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enable Magick support.
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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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### libwebp
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If available, vips can load and save WebP 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 vips7 python binding.
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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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