install opencv with linux

本文档详细介绍了如何在Ubuntu 10.04及其它发行版上从源码编译安装OpenCV的过程。包括所需依赖包的安装、获取OpenCV源码、使用CMake配置与构建OpenCV等步骤。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

The following 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 2.8.7 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

The packages can be installed using a terminal and the following commands or by using Synaptic Manager:

[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 or you can grab the latest snapshot from our Git repository.

Getting the Latest Stable OpenCV Version

Getting the Cutting-edge OpenCV from the Git Repository

Launch Git client and clone OpenCV repository. If you need modules from OpenCV contrib repository then clone it as well.

For example

cd ~/<my_working_directory>
git clone https://github.com/opencv/opencv.git
git clone https://github.com/opencv/opencv_contrib.git

Building OpenCV from Source Using CMake

  1. 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.

    For example

    cd ~/opencv
    mkdir build
    cd build
  2. Configuring. Run cmake [<some optional parameters>] <path to the OpenCV source directory>

    For example

    cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..

    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.
  3. Description of some parameters
    • build type: CMAKE_BUILD_TYPE=Release\Debug
    • 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
  4. [optional] Building python. Set the following python parameters:
    • 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/
  5. [optional] Building java.
    • 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.
  6. Build. From build directory execute make, it is recommended to do this in several threads

    For example

    make -j7 # runs 7 jobs in parallel
  7. [optional] Building documents. Enter <cmake_build_dir/doc/> and run make with target "html_docs"

    For example

    cd ~/opencv/build/doc/
    make -j7 html_docs
  8. To install libraries, execute the following command from build directory
    sudo make install
  9. [optional] Running tests

    For example

    git clone https://github.com/opencv/opencv_extra.git
    • set OPENCV_TEST_DATA_PATH environment variable to <path to opencv_extra/testdata>.
    • execute tests from build directory.

    For example

    <cmake_build_dir>/bin/opencv_test_core
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 appears to be twice as small. However, we do not recommend using this unless those extra megabytes do really matter.
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值