mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
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82 lines
2.7 KiB
82 lines
2.7 KiB
.. _Linux-Installation: |
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Installation in Linux |
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These steps have been tested for Ubuntu 10.04 but should work with other distros as well. |
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Required Packages |
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================= |
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* GCC 4.4.x or later. This can be installed with: |
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.. code-block:: bash |
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sudo apt-get install build-essential |
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* CMake 2.6 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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* pkgconfig; |
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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] libdc1394 2.x; |
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* [optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev. |
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All the libraries above can be installed via Terminal or by using Synaptic Manager. |
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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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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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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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In Linux it can be achieved with the following command in Terminal: |
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.. code-block:: bash |
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cd ~/<my_working _directory> |
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git clone https://github.com/Itseez/opencv.git |
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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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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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#. Enter the created temporary directory (<cmake_binary_dir>) and proceed with: |
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.. code-block:: bash |
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make |
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sudo make install |
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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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