opencv/doc/tutorials/introduction/linux_install/linux_install.markdown

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Installation in Linux {#tutorial_linux_install}
=====================
The following steps have been tested for Ubuntu 10.04 but should work with other distros as well.
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Required Packages
-----------------
- GCC 4.4.x or later
- CMake 2.8.7 or higher
- Git
- GTK+2.x or higher, including headers (libgtk2.0-dev)
- pkg-config
- Python 2.6 or later and Numpy 1.5 or later with developer packages (python-dev, python-numpy)
- ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev
- [optional] libtbb2 libtbb-dev
- [optional] libdc1394 2.x
- [optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev, libdc1394-22-dev
- [optional] CUDA Toolkit 6.5 or higher
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The packages can be installed using a terminal and the following commands or by using Synaptic
Manager:
@code{.bash}
[compiler] sudo apt-get install build-essential
[required] sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev
[optional] sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
@endcode
Getting OpenCV Source Code
--------------------------
You can use the latest stable OpenCV version or you can grab the latest snapshot from our [Git
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repository](https://github.com/opencv/opencv.git).
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### Getting the Latest Stable OpenCV Version
- Go to our [downloads page](http://opencv.org/releases.html).
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- Download the source archive and unpack it.
### Getting the Cutting-edge OpenCV from the Git Repository
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Launch Git client and clone [OpenCV repository](http://github.com/opencv/opencv). If you need
modules from [OpenCV contrib repository](http://github.com/opencv/opencv_contrib) then clone it as well.
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For example
@code{.bash}
cd ~/<my_working_directory>
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git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git
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@endcode
Building OpenCV from Source Using CMake
---------------------------------------
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-# Create a temporary directory, which we denote as \<cmake_build_dir\>, where you want to put
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the generated Makefiles, project files as well the object files and output binaries and enter
there.
For example
@code{.bash}
cd ~/opencv
mkdir build
cd build
@endcode
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-# Configuring. Run cmake [\<some optional parameters\>] \<path to the OpenCV source directory\>
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For example
@code{.bash}
cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
@endcode
or cmake-gui
- set full path to OpenCV source code, e.g. /home/user/opencv
- set full path to \<cmake_build_dir\>, e.g. /home/user/opencv/build
- set optional parameters
- run: “Configure”
- run: “Generate”
@note
Use `cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr/local ..` , without spaces after -D if the above example doesn't work.
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-# Description of some parameters
- build type: `CMAKE_BUILD_TYPE=Release\Debug`
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- to build with modules from opencv_contrib set OPENCV_EXTRA_MODULES_PATH to \<path to
opencv_contrib/modules/\>
- set BUILD_DOCS for building documents
- set BUILD_EXAMPLES to build all examples
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-# [optional] Building python. Set the following python parameters:
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- PYTHON2(3)_EXECUTABLE = \<path to python\>
- PYTHON_INCLUDE_DIR = /usr/include/python\<version\>
- PYTHON_INCLUDE_DIR2 = /usr/include/x86_64-linux-gnu/python\<version\>
- PYTHON_LIBRARY = /usr/lib/x86_64-linux-gnu/libpython\<version\>.so
- PYTHON2(3)_NUMPY_INCLUDE_DIRS =
/usr/lib/python\<version\>/dist-packages/numpy/core/include/
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-# [optional] Building java.
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- Unset parameter: BUILD_SHARED_LIBS
- It is useful also to unset BUILD_EXAMPLES, BUILD_TESTS, BUILD_PERF_TESTS - as they all
will be statically linked with OpenCV and can take a lot of memory.
-# Build. From build directory execute *make*, it is recommended to do this in several threads
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For example
@code{.bash}
make -j7 # runs 7 jobs in parallel
@endcode
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-# [optional] Building documents. Enter \<cmake_build_dir/doc/\> and run make with target
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"html_docs"
For example
@code{.bash}
cd ~/opencv/build/doc/
make -j7 html_docs
@endcode
-# To install libraries, execute the following command from build directory
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@code{.bash}
sudo make install
@endcode
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-# [optional] Running tests
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- Get the required test data from [OpenCV extra
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repository](https://github.com/opencv/opencv_extra).
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For example
@code{.bash}
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git clone https://github.com/opencv/opencv_extra.git
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@endcode
- set OPENCV_TEST_DATA_PATH environment variable to \<path to opencv_extra/testdata\>.
- execute tests from build directory.
For example
@code{.bash}
<cmake_build_dir>/bin/opencv_test_core
@endcode
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@note
If the size of the created library is a critical issue (like in case of an Android build) you
can use the install/strip command to get the smallest size possible. The *stripped* version
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appears to be twice as small. However, we do not recommend using this unless those extra
megabytes do really matter.