在Ubuntu 12.04.02上设置/安装OpenCV 2.4.6.1+ [英] Setting/Installing up OpenCV 2.4.6.1+ on Ubuntu 12.04.02
本文介绍了在Ubuntu 12.04.02上设置/安装OpenCV 2.4.6.1+的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我想分享一些想法（从SO，ubuntu.org，asklinux.org等许多来源收集的值得注意的信息的汇编，当然也可以尝试几个程序）
以下是最终得到我的信息。
注意：确保卸载先前安装的OpenCV，FFMpeg和其他依赖关系。
步骤1（安装ffmpeg和依赖项）
＃goto http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/
＃下载最新的稳定的opencv，如2.4.6.1（http://sourceforge.net/projects/ opencvlibrary / files / opencv-unix / 2.4.5 / opencv-2.4.5.1.tar.gz / download）到当前目录（如home或〜/ Document）
＃cd / opt
＃tar -xvf< path-to-d ownload-folder> /OpenCV-2.4.6.1.tar.gz
＃cd OpenCV-2.4.6.1
＃在当前目录下创建一个边框（在上一步之后，这应该是< opencv-dir> ），称为准备
＃cd prepare
＃将以下脚本复制到gedit并将其另存为当前目录，这应该是< opencv-dir> / prepare
＃检查对应在脚本中使用的URL用于最新版本的软件包，并根据需要进行替换
＃打开终端并导航到
以上使用的位置＃sudo chmod + x install.sh
＃./install
echo任何预装的ffmpeg，x264和其他依赖项（并非所有以前安装的依赖项）
sudo apt-get remove ffmpeg x264 libx264-dev libvpx-dev librtmp0 librtmp-dev libopencv-dev
sudo apt - $更新
arch = $（uname -m）
如果[$ arch==i686-o$ arch==i386-o$ arch ==i486-o$ arch==i586];然后
flag = 0
else
flag = 1
fi
echo安装依赖关系
sudo apt-get install autoconf automake make g ++ curl cmake bzip2 python unzip \
build-essential checkinstall git git-core libass-dev libgpac-dev \
libsdl1.2-dev libtheora-dev libtool libva-dev libvdpau-dev libvorbis-dev libx11-dev \
libxext-dev libxfixes-dev pkg-config texi2html zlib1g-dev
echo下载yasm（x264和FFmpeg使用的汇编程序）
＃use git或tarball（不是两者）
wget http://www.tortall.net/projects/yasm/releases/yasm-1.2.0.tar.gz
tar xzvf yasm-1.2.0.tar。 gz
cd yasm-1.2.0
echo安装yasm
./configure
make
sudo make install
cd ..
echo'READ NOTE BELOW从http://wiki.serviio.org/doku.php?id=build_ffmpeg_linux中提取
echo'新版本的x264默认支持OpenCL的。如果没有安装或没有意义（例如，在VMWare上的Ubuntu 12.04LTS）添加以配置其他选项--disable-opencl。没有这个选项ffmpeg无法配置（错误：libx264未找到）'
echo下载x264（H.264视频编码器）
＃使用git或tarball（不是两者）
＃git clone http://repo.or.cz/r/x264.git或
git clone git：//git.videolan.org/x264.git
cd x264
＃wget ftp://ftp.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-20130801-2245-stable.tar.bz2
＃tar -xvjf x264-snapshot-20130801-2245 -stable.tar.bz2
＃cd x264-snapshot-20130801-2245-stable /
echo安装x264
如果[$ flag -eq 0];然后
./configure --enable-static --disable-opencl
else
./configure --enable-shared --enable-pic --disable-opencl
fi
make
sudo make install
cd ..
echo下载fdk-aac（AAC音频编码器）
＃使用git或tarball两个）
git clone --depth 1 git：//github.com/mstorsjo/fdk-aac.git
cd fdk-aac
echoinstalled fdk-aac
autoreconf -fiv
./configure --disable-shared
make
sudo make install
cd ..
echo安装libmp3lame -dev（MP3音频编码器）
sudo apt-get install libmp3lame-dev
echo下载libopus（Opus音频解码器和编码器）
wget http： /downloads.xiph.org/releases/opus/opus-1.0.3.tar.gz
tar xzvf opus-1.0.3.tar.gz
cd opus-1.0.3
echoinstalled libopus
./configure --disable-shared
make
sudo make install
cd ..
echo下载libvpx VP8 / VP9视频编码器和解码器）
＃使用git或tarball （不是两个）
git clone --depth 1 http://git.chromium.org/webm/libvpx.git
cd libvpx
＃wget http://webm.googlecode.com /files/libvpx-v1.1.0.tar.bz2（这似乎不是更新，但如果以下的fedoraproject链接不可用，仍然可以使用））
＃wget http://pkgs.fedoraproject.org /repo/pkgs/libvpx/libvpx-v1.2.0.tar.bz2/400d7c940c5f9d394893d42ae5f463e6/libvpx-v1.2.0.tar.bz2
＃tar xvjf libvpx-v1.2.0.tar.bz2
＃cd libvpx-v1.2.0
echo安装libvpx
./configure --disable-examples
make
sudo make install
cd ..
sudo ldconfig
回声下载ffmpeg
＃git clone http://repo.or.cz/r/ffmpeg.git
git clone git：//source.ffmpeg.org/ffmpeg.git
cd ffmpeg /
＃wget http://ffmpeg.org/releases/ffmpeg-2.0.tar.bz2
＃tar - xvjf ffmpeg-2.0.tar.bz2
＃cd ffmpeg-2.0 /
echoinstalled ffmpeg
if [$ flag -eq 0];然后
./configure --enable-gpl --enable-libass --enable-libfdk-aac --enable-libopus --enable-libfaac --enable-libmp3lame --enable-libopencore-amrnb --enable -libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libx264 --enable-libxvid --enable-nonfree --enable-postproc --enable-version3 --enable-x11grab --enable-libvpx
else
./configure --enable-gpl --enable-libass --enable-libfdk-aac --enable-libopus --enable-libfaac --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libx264 --enable-libxvid --enable-nonfree --enable-postproc --enable-version3 --enable-x11grab --enable -libvpx --enable-shared
fi
make
sudo make install
哈希-r
cd ..＃向上移动一个级别准备文件夹
cd ..＃向上移动一级到opencv文件夹
echo检查看是否使用新的ffmpeg
ffmpeg 2& 1 | head -n1
sudo ldconfig
步骤2（安装OpenCV和必需的包）
echo安装Dependenices
sudo apt-get install libtiff4-dev libjpeg-dev libjasper-dev
echo安装视频I / O库，支持Firewire摄像机和视频流媒体库
sudo apt-get install libav-tools libavcodec-dev libavformat-dev libswscale-dev libdc1394-22- dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev v4l-utils v4l-conf
echo安装Python开发环境和Python数值库
sudo apt-get install python-dev python-numpy
echo安装并行代码处理库（Intel tbb库）
sudo apt-get install libtbb-dev
echo安装Qt开发库
sudo apt-get install libqt4-dev libgtk2.0-dev
echo安装其他依赖项（如果需要的话）向上级别当前版本的包）
sudo apt-get install patch subversion ruby librtmp0 librtmp-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libvpx-dev libxvidcore-dev
echo安装可选包
sudo apt-get install libdc1394-utils libdc1394-22-dev libdc1394-22 libjpeg-dev libpng-dev libtiff-dev libjasper-dev
步骤3（运行ldconfig）
＃打开一个新的终端窗口
＃打开/etc/ld.so.conf并检查
＃如果包含引用的路径/ usr / lib和/ usr / local / lib存在在文件中。如果没有，请手动添加或
sudo echo/ usr / local / lib>> /etc/ld.so.conf
sudo echo/ usr / lib>> /etc/ld.so.conf
＃执行以下
sudo ldconfig
步骤4a（构建和安装操作系统使用）
＃仍然确保您尚未关闭新的终端窗口步骤3
＃执行以下
mkdir os_build
cd os_build
cmake -DCMAKE_BUILD_TYPE = RELEASE -DCMAKE_INSTALL_PREFIX = / usr / local -DBUILD_NEW_PYTHON_SUPPORT = ON -DINSTALL_PYTHON_EXAMPLES = ON -DWITH_TBB = ON -DWITH_V4L = ON -DINSTALL_C_EXAMPLES = ON -DBUILD_EXAMPLES = ON -DWITH_QT = ON -DWITH_OPENGL = ON -DWITH_OPENCL = ON -DWITH_EIGEN = ON -DWITH_OPENEXR = ON ..
make
sudo make install
＃将以下内容添加到用户环境变量〜/ .bashrc
export LD_LIBRARY_PATH = $ {LD_LIBRARY_PATH}：/ usr / local / lib
export PKG_CONFIG_PATH = $ {PKG_CONFIG_PATH}： / usr / local / lib / pkgconfig
＃执行以下
sudo ldconfig
＃开始使用并享受opencv，应该已经安装到任何这些loca
＃/ usr / local / include / opencv2，/ usr / local / include / opencv，/ usr / include / opencv，/ usr / include / opencv2，/ usr / local / share / opencv
＃/ usr / local / share / OpenCV / usr / share / opencv / usr / share / OpenCV，/ usr / local / bin / opencv *，/ usr / local / lib / libopencv *
步骤4b（构建Java使用）：可选
＃仍然确保您没有关闭在STEP 4中打开的新终端窗口
＃执行以下
cd ..
mkdir java_build
cd java_build
cmake -DCMAKE_BUILD_TYPE = RELEASE -DBUILD_SHARED_LIBS = OFF -DINSTALL_PYTHON_EXAMPLES = ON -DWITH_TBB = ON -DWITH_V4L = ON -DINSTALL_C_EXAMPLES = ON -DBUILD_EXAMPLES = ON -DWITH_QT = ON -DWITH_OPENGL = ON -DWITH_OPENCL = ON -DWITH_EIGEN = ON -DWITH_OPENEXR = ON ..
make
＃您可以检查java_build / bin目录以找到jar和libopencv_java.so文件供您开发
＃As在文档中指出，Java绑定动态库是全部的优点，即不依赖于其他OpenCV库，但包含
中的所有OpenCV代码
STEP 5 （安装v4l：注意：安装v4l-utils后，opencv安装适用于Ubuntu 12.04.2& OpenCV 2.4.6.1）
＃仍然确保您没有关闭在STEP 3中打开的新终端窗口
＃ goto http://www.linuxtv.org/downloads/v4l-utils
＃下载最新的v4l，如v4l-utils-0.9.5.tar.bz2
＃将下载的文件复制到当前终端目录（之前的步骤，应该是< opencv-dir> / prepare）
＃执行以下
tar -xvjf v4l-utils-0.9.5.tar.bz2
cd v4l-utils-0.9.5 /
./configure
make
sudo make install
cd ..
cd ..＃（转到< opencv- dir>）
sudo ldconfig
值得注意
＃查看opencv&其他lib文件被存储，执行：
pkg-config --cflags opencv
（输出将来）
-I / usr / include / opencv
pkg-config --libs opencv
（输出将作为）
-lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ --ml -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann
＃如下图所示，上述路径需要编译您的opencv程序。
＃写一个简单的C程序来测试，通过将程序保存在名为DisplayImage.c的文件中
#include< stdio.h>
#include< opencv2 / highgui / highgui.hpp>
int main（int argc，char * argv []）{
IplImage * img = 0; / *指向图像的指针* /
printf（Hello\\\
）;
if（argv [1]！= 0）
img = cvLoadImage（argv [1]，0）; // 1 for color
else
printf（Enter filename\\\
）;
if（img！= 0）{
cvNamedWindow（Display，CV_WINDOW_AUTOSIZE）; //创建一个窗口
cvShowImage（Display，img）; //在窗口中显示图像
cvWaitKey（0）; //等到用户点击一个键
cvDestroyWindow（Display）;
}
else
printf（File not found\\\
）;
return 0;
}
＃编写一个简单的C ++程序来测试，通过将程序保存在名为DisplayImage.cpp的文件中
#include< stdio.h>
#include< opencv2 / opencv.hpp>
#include< opencv2 / highgui / highgui.hpp>
使用命名空间cv;
int main（int argc，char ** argv）
{
Mat image;
image = imread（argv [1]，1）;
if（argc！= 2 ||！image.data）
{
printf（No image data \\\
）;
return -1;
}
namedWindow（显示图像，CV_WINDOW_AUTOSIZE）;
imshow（显示图像，图像）;
waitKey（0）;
return 0;
}
＃编译&运行：
g ++< filename：例如DisplayImage.c或DisplayImage.cpp> `pkg-config --cflags --libs opencv`&& ./a.out img
或
g ++ -I / usr / include / opencv -I / usr / local / include -lopencv_core -lopencv_highgui -lopencv_ml -lopencv_imgproc -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann -lopencv_nonfree< filename：eg DisplayImage.c或DisplayImage.cpp> &安培;&安培; ./a.out img
其中img是具有扩展名在同一文件夹内的任何图像的名称。
您应该可以在不同的窗口中看到Hello和图像。
如果这样运行，Congrats！现在您可以使用opencv lib运行任何C / C ++程序。
＃现在，通过为其创建快捷方式来简化上述大型命令：
转到您的本地主目录（cd / home /），并使用gedit（文件将被隐藏）。在文件中附加以下内容：
alias gcv =g ++ -I / usr / include / opencv -I / usr / local / include -lopencv_core -lopencv_highgui -lopencv_ml -lopencv_imgproc -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann -lopencv_nonfree
并保存。关闭终端并再次打开（因为这个过程需要终端终端）
＃现在，去包含一个示例程序& do
gcv< filename：例如DisplayImage.c或DisplayImage.cpp> &安培;&安培; ./a.out
或
gcv< filename：例如DisplayImage.c或DisplayImage.cpp>
./a.out input_img.jpg
您可以看到命令现在变得相似到$ cc filename.c，$。/ a.out，它们通常用于编译和执行C / C ++程序。
有些方法检查是否安装了所有的lib文件 -
apt-cache search opencv
返回：
libcv-dev - libcv-dev的翻译包
libcv2.3 - 计算机视觉库 - libcv *翻译包
libcvaux-dev - libcvaux-dev的翻译包
libcvaux2.3 - 计算机视觉库 - libcvaux翻译包
libhighgui-dev - libhighgui-dev的翻译包
libhighgui2.3 - 计算机视觉库 - libhighgui翻译包
libopencv-calib3d-dev - libopencv-calib3d的开发文件
libopencv-calib3d2.3 - 计算机视觉相机校准库
libopencv-contrib-dev - libop的开发文件encv-contrib
libopencv-contrib2.3 - 计算机视觉contrib库
libopencv-core-dev - libopencv-core的开发文件
libopencv-core2.3 - 计算机视觉核心库
libopencv-dev - opencv的开发文件
libopencv-features2d-dev - libopencv-features2d的开发文件
libopencv-features2d2.3 - 计算机视觉功能检测和描述符提取库
libopencv-flann -dev - libopencv-flann的开发文件
libopencv-flann2.3 - 计算机视觉多维空间库中的聚类和搜索
libopencv-gpu-dev - libopencv-gpu
的开发文件libopencv-gpu2.3 - 计算机视觉GPU处理库
libopencv-highgui-dev - libopencv-highgui的开发文件
libopencv-highgui2.3 - 计算机视觉高级GUI和媒体I / O库
libopencv-imgproc-dev - 开发文件为libopencv-imgproc
libopencv-imgproc2.3 - 计算机视觉图像处理库
libo pencv-legacy-dev - libopencv-legacy的开发文件
libopencv-legacy2.3 - 计算机视觉遗产库
libopencv-ml-dev - libopencv-ml的开发文件
libopencv-ml2。 3 - 计算机视觉机器学习库
libopencv-objdetect-dev - 开发文件为libopencv-objdetect
libopencv-objdetect2.3 - 计算机视觉对象检测库
libopencv-video-dev - 开发文件对于libopencv视频
libopencv-video2.3 - 计算机视觉视频分析库
opencv-doc - OpenCV文档和示例
python-opencv - 计算机视觉库的Python绑定
解决方案
感谢您的信息。我试图运行这些命令，但遇到了几个问题。我正在使用全新的Ubuntu 12.04安装。
1）第一个apt-get remove命令问我是否要删除很多我不是的东西舒适的去除，像LibreOffice。我没有删除这个步骤中的任何东西，我认为这样可以，因为我安装的唯一程序是Java SDK和JRE。为什么你选择这么大的程序列表来删除？
2）将sudo添加到git和tar命令是必要的。
3）当安装opus和ffmpeg时，由于缺少写入权限，最终配置失败，因此./configure命令有许多错误消息。
无论如何，只是想我会将这些问题记录在帖子上，希望能够改进上面列出的步骤。
I had previously used OpenCV 2.4.5 with some certain configs and packages on Ubuntu 12.04.1 but had issues upgrading to OpenCV 2.4.6.1 on Ubuntu 12.04.2
I would like to share some ideas (a compilation of noteworthy information gathered from several sources including SO, ubuntu.org, asklinux.org and many other; and of course by trying several procedures)
Below is what eventually got me through.
NOTE: ensure you uninstall any previous installation of OpenCV, FFMpeg and other dependencies previously installed.
STEP 1 (install ffmpeg and dependencies)
# goto http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/
# download the latest stable opencv such as 2.4.6.1 (http://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.5/opencv-2.4.5.1.tar.gz/download) to current directory (such as home or ~/Document)
# cd /opt
# tar -xvf <path-to-download-folder>/OpenCV-2.4.6.1.tar.gz
# cd OpenCV-2.4.6.1
# create a foler under current dir (following previous step, this should be <opencv-dir>), called prepare
# cd prepare
# Copy the following script to gedit and save as install.sh to current dir, this should be <opencv-dir>/prepare
# Check corresponding url used in the script for latest versions of the package and replace as required
# Open terminal and navigate to location used above
# sudo chmod +x install.sh
# ./install
echo "Removing any pre-installed ffmpeg, x264, and other dependencies (not all the previously installed dependecies)"
sudo apt-get remove ffmpeg x264 libx264-dev libvpx-dev librtmp0 librtmp-dev libopencv-dev
sudo apt-get update
arch=$(uname -m)
if [ "$arch" == "i686" -o "$arch" == "i386" -o "$arch" == "i486" -o "$arch" == "i586" ]; then
flag=0
else
flag=1
fi
echo "Installing Dependenices"
sudo apt-get install autoconf automake make g++ curl cmake bzip2 python unzip \
build-essential checkinstall git git-core libass-dev libgpac-dev \
libsdl1.2-dev libtheora-dev libtool libva-dev libvdpau-dev libvorbis-dev libx11-dev \
libxext-dev libxfixes-dev pkg-config texi2html zlib1g-dev
echo "downloading yasm (assembler used by x264 and FFmpeg)"
# use git or tarball (not both)
wget http://www.tortall.net/projects/yasm/releases/yasm-1.2.0.tar.gz
tar xzvf yasm-1.2.0.tar.gz
cd yasm-1.2.0
echo "installing yasm"
./configure
make
sudo make install
cd ..
echo 'READ NOTE BELOW which was extracted from http://wiki.serviio.org/doku.php?id=build_ffmpeg_linux'
echo 'New version of x264 contains by default support of OpenCL. If not installed or without sense (example Ubuntu 12.04LTS on VMWare) add to configure additional option --disable-opencl. Without this option ffmpeg could not be configured (ERROR: libx264 not found).'
echo "downloading x264 (H.264 video encoder)"
# use git or tarball (not both)
# git clone http://repo.or.cz/r/x264.git or
git clone git://git.videolan.org/x264.git
cd x264
# wget ftp://ftp.videolan.org/pub/videolan/x264/snapshots/x264-snapshot-20130801-2245-stable.tar.bz2
# tar -xvjf x264-snapshot-20130801-2245-stable.tar.bz2
# cd x264-snapshot-20130801-2245-stable/
echo "Installing x264"
if [ $flag -eq 0 ]; then
./configure --enable-static --disable-opencl
else
./configure --enable-shared --enable-pic --disable-opencl
fi
make
sudo make install
cd ..
echo "downloading fdk-aac (AAC audio encoder)"
# use git or tarball (not both)
git clone --depth 1 git://github.com/mstorsjo/fdk-aac.git
cd fdk-aac
echo "installing fdk-aac"
autoreconf -fiv
./configure --disable-shared
make
sudo make install
cd ..
echo "installing libmp3lame-dev (MP3 audio encoder.)"
sudo apt-get install libmp3lame-dev
echo "downloading libopus (Opus audio decoder and encoder.)"
wget http://downloads.xiph.org/releases/opus/opus-1.0.3.tar.gz
tar xzvf opus-1.0.3.tar.gz
cd opus-1.0.3
echo "installing libopus"
./configure --disable-shared
make
sudo make install
cd ..
echo "downloading libvpx VP8/VP9 video encoder and decoder)"
# use git or tarball (not both)
git clone --depth 1 http://git.chromium.org/webm/libvpx.git
cd libvpx
# wget http://webm.googlecode.com/files/libvpx-v1.1.0.tar.bz2 (this seems not to be update, but can still be used if the fedoraproject link below is not available))
# wget http://pkgs.fedoraproject.org/repo/pkgs/libvpx/libvpx-v1.2.0.tar.bz2/400d7c940c5f9d394893d42ae5f463e6/libvpx-v1.2.0.tar.bz2
# tar xvjf libvpx-v1.2.0.tar.bz2
# cd libvpx-v1.2.0
echo "installing libvpx"
./configure --disable-examples
make
sudo make install
cd ..
sudo ldconfig
echo "downloading ffmpeg"
# git clone http://repo.or.cz/r/ffmpeg.git
git clone git://source.ffmpeg.org/ffmpeg.git
cd ffmpeg/
# wget http://ffmpeg.org/releases/ffmpeg-2.0.tar.bz2
# tar -xvjf ffmpeg-2.0.tar.bz2
# cd ffmpeg-2.0/
echo "installing ffmpeg"
if [ $flag -eq 0 ]; then
./configure --enable-gpl --enable-libass --enable-libfdk-aac --enable-libopus --enable-libfaac --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libx264 --enable-libxvid --enable-nonfree --enable-postproc --enable-version3 --enable-x11grab --enable-libvpx
else
./configure --enable-gpl --enable-libass --enable-libfdk-aac --enable-libopus --enable-libfaac --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libtheora --enable-libvorbis --enable-libx264 --enable-libxvid --enable-nonfree --enable-postproc --enable-version3 --enable-x11grab --enable-libvpx --enable-shared
fi
make
sudo make install
hash -r
cd .. # move up one level to prepare folder
cd .. # move up one level to opencv folder
echo "Checking to see if you're using your new ffmpeg"
ffmpeg 2>&1 | head -n1
sudo ldconfig
STEP 2 (Install OpenCV and necessary packages)
echo "Installing Dependenices"
sudo apt-get install libtiff4-dev libjpeg-dev libjasper-dev
echo "installing Video I/O libraries, support for Firewire video cameras and video streaming libraries"
sudo apt-get install libav-tools libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev v4l-utils v4l-conf
echo "installing the Python development environment and the Python Numerical library"
sudo apt-get install python-dev python-numpy
echo "installing the parallel code processing library (the Intel tbb library)"
sudo apt-get install libtbb-dev
echo "installing the Qt dev library"
sudo apt-get install libqt4-dev libgtk2.0-dev
echo "installing other dependencies (if need be it would upgrade current version of the packages)"
sudo apt-get install patch subversion ruby librtmp0 librtmp-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libvpx-dev libxvidcore-dev
echo installing optional packages"
sudo apt-get install libdc1394-utils libdc1394-22-dev libdc1394-22 libjpeg-dev libpng-dev libtiff-dev libjasper-dev
STEP 3 (run ldconfig)
# Open a new terminal window
# Open /etc/ld.so.conf and check,
# if the paths "/usr/lib" and "/usr/local/lib" including the quote exist in the file. If not, add them manually or by
sudo echo "/usr/local/lib" >> /etc/ld.so.conf
sudo echo "/usr/lib" >> /etc/ld.so.conf
# execute the following
sudo ldconfig
STEP 4a (Build & Install for OS Usage)
# still ensure you haven't close the new terminal window open in STEP 3
# execute the following
mkdir os_build
cd os_build
cmake -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr/local -DBUILD_NEW_PYTHON_SUPPORT=ON -DINSTALL_PYTHON_EXAMPLES=ON -DWITH_TBB=ON -DWITH_V4L=ON -DINSTALL_C_EXAMPLES=ON -DBUILD_EXAMPLES=ON -DWITH_QT=ON -DWITH_OPENGL=ON -DWITH_OPENCL=ON -DWITH_EIGEN=ON -DWITH_OPENEXR=ON ..
make
sudo make install
# add the following to user environment variable ~/.bashrc
export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/lib
export PKG_CONFIG_PATH=${PKG_CONFIG_PATH}:/usr/local/lib/pkgconfig
# execute the following
sudo ldconfig
# start to use and enjoy opencv, it should have been install into any of these locations
# /usr/local/include/opencv2, /usr/local/include/opencv, /usr/include/opencv, /usr/include/opencv2, /usr/local/share/opencv
# /usr/local/share/OpenCV, /usr/share/opencv, /usr/share/OpenCV, /usr/local/bin/opencv*, /usr/local/lib/libopencv*
STEP 4b (Build for Java Usage): OPTIONAL
# still ensure you haven't close the new terminal window open in STEP 4
# execute the following
cd ..
mkdir java_build
cd java_build
cmake -DCMAKE_BUILD_TYPE=RELEASE -DBUILD_SHARED_LIBS=OFF -DINSTALL_PYTHON_EXAMPLES=ON -DWITH_TBB=ON -DWITH_V4L=ON -DINSTALL_C_EXAMPLES=ON -DBUILD_EXAMPLES=ON -DWITH_QT=ON -DWITH_OPENGL=ON -DWITH_OPENCL=ON -DWITH_EIGEN=ON -DWITH_OPENEXR=ON ..
make
# You can check the "java_build/bin" directory to locate the jar and libopencv_java.so file for your development
# As stated in the docs, the Java bindings dynamic library is all-sufficient, i.e. doesn’t depend on other OpenCV libs, but includes all the OpenCV code inside
STEP 5 (install v4l: Note: installing v4l-utils after opencv installation works for Ubuntu 12.04.2 & OpenCV 2.4.6.1)
# still ensure you haven't close the new terminal window open in STEP 3
# goto http://www.linuxtv.org/downloads/v4l-utils
# download the latest v4l such as v4l-utils-0.9.5.tar.bz2
# copy the downloaded file to the current terminal dir (following previous step, this should be <opencv-dir>/prepare)
# execute the following
tar -xvjf v4l-utils-0.9.5.tar.bz2
cd v4l-utils-0.9.5/
./configure
make
sudo make install
cd ..
cd .. # (to go to <opencv-dir>)
sudo ldconfig
Worth Noting
# To check the path where opencv & other lib files are stored, do:
pkg-config --cflags opencv
(output will come as)
-I/usr/include/opencv
pkg-config --libs opencv
(output will come as)
-lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ --ml -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann
# The above paths are needed to compile your opencv programs, as given in the next illustration.
# write a simple C program to test, by saving below program in a file named DisplayImage.c
#include <stdio.h>
#include <opencv2/highgui/highgui.hpp>
int main(int argc, char *argv[]) {
IplImage* img=0; /* pointer to an image */
printf("Hello\n");
if(argv[1] != 0)
img = cvLoadImage(argv[1], 0); // 1 for color
else
printf("Enter filename\n");
if(img != 0) {
cvNamedWindow("Display", CV_WINDOW_AUTOSIZE); // create a window
cvShowImage("Display", img); // show image in window
cvWaitKey(0); // wait until user hits a key
cvDestroyWindow("Display");
}
else
printf("File not found\n");
return 0;
}
# write a simple C++ program to test, by saving below program in a file named DisplayImage.cpp
#include <stdio.h>
#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
using namespace cv;
int main( int argc, char** argv )
{
Mat image;
image = imread( argv[1], 1 );
if( argc != 2 || !image.data )
{
printf( "No image data \n" );
return -1;
}
namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
imshow( "Display Image", image );
waitKey(0);
return 0;
}
# To compile & run :
g++ <filename: e.g. DisplayImage.c or DisplayImage.cpp> `pkg-config --cflags --libs opencv` && ./a.out img
or
g++ -I/usr/include/opencv -I/usr/local/include -lopencv_core -lopencv_highgui -lopencv_ml -lopencv_imgproc -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann -lopencv_nonfree <filename: e.g. DisplayImage.c or DisplayImage.cpp> && ./a.out img
where "img" is the name of any image with extension within the same folder .
You should be able to see "Hello" and the image in a different window.
If this runs, Congrats! now you can run any C/C++ program with opencv lib.
# Now lets simplify the above big command by making a shortcut for it:
go to your local home directory(cd /home/) and open the .bashrc file using gedit(the file will be hidden). Append the following to the file:
alias gcv="g++ -I/usr/include/opencv -I/usr/local/include -lopencv_core -lopencv_highgui -lopencv_ml -lopencv_imgproc -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann -lopencv_nonfree"
and save. Close the terminal and open it again.(as this process requires relogin of the terminal)
# Now, go to directory containing a sample program & do
gcv <filename: e.g. DisplayImage.c or DisplayImage.cpp> && ./a.out
or
gcv <filename: e.g. DisplayImage.c or DisplayImage.cpp>
./a.out input_img.jpg
As you can see the commands now become similar to $cc filename.c, $./a.out which are used normally for compiling and executing C/C++ programs.
Some ways to check whether all lib files are installed-
apt-cache search opencv
returns:
libcv-dev - Translation package for libcv-dev
libcv2.3 - computer vision library - libcv* translation package
libcvaux-dev - Translation package for libcvaux-dev
libcvaux2.3 - computer vision library - libcvaux translation package
libhighgui-dev - Translation package for libhighgui-dev
libhighgui2.3 - computer vision library - libhighgui translation package
libopencv-calib3d-dev - development files for libopencv-calib3d
libopencv-calib3d2.3 - computer vision Camera Calibration library
libopencv-contrib-dev - development files for libopencv-contrib
libopencv-contrib2.3 - computer vision contrib library
libopencv-core-dev - development files for libopencv-core
libopencv-core2.3 - computer vision core library
libopencv-dev - development files for opencv
libopencv-features2d-dev - development files for libopencv-features2d
libopencv-features2d2.3 - computer vision Feature Detection and Descriptor Extraction library
libopencv-flann-dev - development files for libopencv-flann
libopencv-flann2.3 - computer vision Clustering and Search in Multi-Dimensional spaces library
libopencv-gpu-dev - development files for libopencv-gpu
libopencv-gpu2.3 - computer vision GPU Processing library
libopencv-highgui-dev - development files for libopencv-highgui
libopencv-highgui2.3 - computer vision High-level GUI and Media I/O library
libopencv-imgproc-dev - development files for libopencv-imgproc
libopencv-imgproc2.3 - computer vision Image Processing library
libopencv-legacy-dev - development files for libopencv-legacy
libopencv-legacy2.3 - computer vision legacy library
libopencv-ml-dev - development files for libopencv-ml
libopencv-ml2.3 - computer vision Machine Learning library
libopencv-objdetect-dev - development files for libopencv-objdetect
libopencv-objdetect2.3 - computer vision Object Detection library
libopencv-video-dev - development files for libopencv-video
libopencv-video2.3 - computer vision Video analysis library
opencv-doc - OpenCV documentation and examples
python-opencv - Python bindings for the computer vision library
解决方案
Thanks for the information. I tried to run these commands but encountered several problems. I am using a brand new Ubuntu 12.04 install.
1) The first apt-get remove command asked me if I wanted to remove a lot of things that I wasn't comfortable removing, like LibreOffice. I didn't remove anything in this step, which I figured would be okay, since the only program I've installed is Java SDK and JRE. Why did you opt for such a large list of programs to remove?
2) Adding sudo to the git and tar commands was necessary.
3) When installing opus and ffmpeg, there were many error messages for the ./configure command because of a lack of permission for writing and ultimately the configurations failed.
Anyways, just thought I would log these problems on the post in the hopes that it will improve the procedure listed above.
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