updated linux installation documentation
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@ -7,16 +7,16 @@ These steps have been tested for Ubuntu 10.04 but should work with other distros
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Required Packages
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=================
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* GCC 4.4.x or later
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* CMake 2.8.7 or higher
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* Git
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* GTK+2.x or higher, including headers (libgtk2.0-dev)
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* pkg-config
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* Python 2.6 or later and Numpy 1.5 or later with developer packages (python-dev, python-numpy)
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* ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev
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* [optional] libtbb2 libtbb-dev
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* [optional] libdc1394 2.x
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* [optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev, libdc1394-22-dev
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* GCC 4.4.x or later
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* CMake 2.8.7 or higher
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* Git
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* GTK+2.x or higher, including headers (libgtk2.0-dev)
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* pkg-config
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* Python 2.6 or later and Numpy 1.5 or later with developer packages (python-dev, python-numpy)
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* ffmpeg or libav development packages: libavcodec-dev, libavformat-dev, libswscale-dev
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* [optional] libtbb2 libtbb-dev
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* [optional] libdc1394 2.x
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* [optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev, libdc1394-22-dev
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The packages can be installed using a terminal and the following commands or by using Synaptic Manager:
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@ -29,57 +29,122 @@ The packages can be installed using a terminal and the following commands or by
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Getting OpenCV Source Code
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==========================
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You can use the latest stable OpenCV version available in *sourceforge* or you can grab the latest snapshot from our `Git repository <https://github.com/Itseez/opencv.git>`_.
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You can use the latest stable OpenCV version or you can grab the latest snapshot from our `Git repository <https://github.com/Itseez/opencv.git>`_.
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Getting the Latest Stable OpenCV Version
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----------------------------------------
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* Go to our `page on Sourceforge <http://sourceforge.net/projects/opencvlibrary>`_;
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* Download the source tarball and unpack it.
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* Go to our `downloads page <http://opencv.org/downloads.html>`_.
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* Download the source archive and unpack it.
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Getting the Cutting-edge OpenCV from the Git Repository
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-------------------------------------------------------
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Launch Git client and clone `OpenCV repository <http://github.com/itseez/opencv>`_
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Launch Git client and clone `OpenCV repository <http://github.com/itseez/opencv>`_.
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If you need modules from `OpenCV contrib repository <http://github.com/itseez/opencv_contrib>`_ then clone it too.
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In Linux it can be achieved with the following command in Terminal:
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For example
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.. code-block:: bash
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cd ~/<my_working _directory>
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cd ~/<my_working_directory>
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git clone https://github.com/Itseez/opencv.git
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git clone https://github.com/Itseez/opencv_contrib.git
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Building OpenCV from Source Using CMake
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=======================================
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Building OpenCV from Source Using CMake, Using the Command Line
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===============================================================
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#. Create a temporary directory, which we denote as <cmake_binary_dir>, where you want to put the generated Makefiles, project files as well the object files and output binaries.
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#. Enter the <cmake_binary_dir> and type
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.. code-block:: bash
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cmake [<some optional parameters>] <path to the OpenCV source directory>
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#. Create a temporary directory, which we denote as <cmake_build_dir>, where you want to put the generated Makefiles, project files as well the object files and output binaries and enter there.
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For example
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.. code-block:: bash
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cd ~/opencv
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mkdir release
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cd release
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cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
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mkdir build
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cd build
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#. Enter the created temporary directory (<cmake_binary_dir>) and proceed with:
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#. Configuring. Run
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cmake [<some optional parameters>] <path to the OpenCV source directory>
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For example
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.. code-block:: bash
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cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
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or cmake-gui
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* set full path to OpenCV source code, e.g. /home/user/opencv
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* set full path to <cmake_build_dir>, e.g. /home/user/opencv/build
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* set optional parameters
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* run: “Configure”
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* run: “Generate”
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#. Description of some parameters
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* 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/>
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* set BUILD_DOCS for building documents
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* 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>
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* PYTHON_INCLUDE_DIR = /usr/include/python<version>
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* PYTHON_INCLUDE_DIR2 = /usr/include/x86_64-linux-gnu/python<version>
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* PYTHON_LIBRARY = /usr/lib/x86_64-linux-gnu/libpython<version>.so
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* 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
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* 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.
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#. Build. From build directory execute make, recomend to do it in several threads
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For example
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.. code-block:: bash
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make -j7 # runs 7 jobs in parallel
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#. [optional] Building documents. Enter <cmake_build_dir/doc/> and run make with target "html_docs"
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For example
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.. code-block:: bash
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cd ~/opencv/build/doc/
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make -j7 html_docs
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#. To install libraries, from build directory execute
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.. code-block:: bash
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make -j8 # -j8 runs 8 jobs in parallel.
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# Change 8 to number of hardware threads available.
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sudo make install
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#. [optional] Running tests
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* Get the required test data from `OpenCV extra repository <https://github.com/Itseez/opencv_extra>`_.
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For example
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.. code-block:: bash
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git clone https://github.com/Itseez/opencv_extra.git
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* set OPENCV_TEST_DATA_PATH environment variable to <path to opencv_extra/testdata>.
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* execute tests from build directory.
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For example
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.. code-block:: bash
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<cmake_build_dir>/bin/opencv_test_core
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.. note::
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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 as possible. The *stripped* version appears to be twice as small. However, we do not recommend using this unless those extra megabytes do really matter.
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