Open Source Computer Vision Library https://opencv.org/
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.. _Linux-Installation:
Installation in Linux
*********************
These steps have been tested for Ubuntu 10.04 but should work with other distros as well.
Required Packages
=================
* GCC 4.4.x or later
* CMake 2.6 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
The packages can be installed using a terminal and the following commands or by using Synaptic Manager:
.. code-block:: 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
Getting OpenCV Source Code
==========================
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/opencv/opencv.git>`_.
Getting the Latest Stable OpenCV Version
----------------------------------------
* Go to our `page on Sourceforge <http://sourceforge.net/projects/opencvlibrary>`_;
* Download the source tarball and unpack it.
Getting the Cutting-edge OpenCV from the Git Repository
-------------------------------------------------------
Launch Git client and clone `OpenCV repository <http://github.com/opencv/opencv>`_
In Linux it can be achieved with the following command in Terminal:
.. code-block:: bash
cd ~/<my_working _directory>
git clone https://github.com/opencv/opencv.git
Building OpenCV from Source Using CMake, Using the Command Line
===============================================================
#. 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.
#. Enter the <cmake_binary_dir> and type
.. code-block:: bash
cmake [<some optional parameters>] <path to the OpenCV source directory>
For example
.. code-block:: bash
cd ~/opencv
mkdir release
cd release
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
#. Enter the created temporary directory (<cmake_binary_dir>) and proceed with:
.. code-block:: bash
make
sudo make install
.. note::
Use ``cmake -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr/local ..`` , without spaces after -D if step 2 do not work.
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.