libvips/README.md
2015-10-23 09:45:20 +01:00

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# libvips : an image processing library
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libvips is a 2D image processing library. Compared to
similar libraries, [libvips runs quickly and uses little
memory](http://www.vips.ecs.soton.ac.uk/index.php?title=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, DeepZoom, and OpenSlide.
It can also load images via ImageMagick or GraphicsMagick.
It has APIs for
[C](http://www.vips.ecs.soton.ac.uk/supported/current/doc/html/libvips/using-from-c.html)
and
[C++](http://www.vips.ecs.soton.ac.uk/supported/current/doc/html/libvips/using-from-cpp.html)
and comes with a [Python
binding](http://www.vips.ecs.soton.ac.uk/supported/current/doc/html/libvips/using-from-python.html)
and a [command-line
interface](http://www.vips.ecs.soton.ac.uk/supported/current/doc/html/libvips/using-cli.html).
Bindings are available for [Ruby](https://rubygems.org/gems/ruby-vips),
JavaScript and others. There is full
[documentation](http://www.vips.ecs.soton.ac.uk/supported/current/doc/html/libvips/index.html).
There are several GUIs as well, see the [VIPS
website](http://www.vips.ecs.soton.ac.uk).
There are packages for most unix-like operating systems and binaries for
Windows and OS X.
# Building libvips from source
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`, and
`libxml2-dev`.
For the vips8 Python binding, you must 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](http://www.vips.ecs.soton.ac.uk/index.php?title=Build_on_windows)
and [building on OS
X](http://www.vips.ecs.soton.ac.uk/index.php?title=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:
$ ./bootstrap.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
$ export G_SLICE=always-malloc
$ valgrind --suppressions=libvips.supp \
--leak-check=yes \
vips ... > vips-vg.log 2>&1
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
$ 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 --disable-introspection
$ FLAGS="-O1 -g -fsanitize=thread"
$ FLAGS="$FLAGS -fPIC -pie"
$ FLAGS="$FLAGS -fno-omit-frame-pointer -fno-optimize-sibling-calls"
$ CC=clang CXX=clang++ LD=clang \
CFLAGS="$FLAGS" CXXFLAGS="$FLAGS" \
LDFLAGS="-fsanitize=thread -fPIC -pie" \
./configure --prefix=/home/john/vips --disable-introspection
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 --disable-introspection
Static analysis with:
$ cppcheck --force --enable=style . &> cppcheck.log
# Dependencies
libvips has to have `gettext`, `glib2.0-dev` and `libxml2-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 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-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.
### 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.
### 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.