运行IDT算法的相关环境配置Ubuntu14.04+opencv-2.4.9+ffmpeg-2.4.3

 

一.下载OpenCV和ffmpeg的源码包

第一次写教程~

最近在跑IDT（Improved Dense Trajectories）的代码，配置环境什么的都是新手上路~所以记录一下。

opencv可以官网直接下载，附链接：

opencv-2.4.9

https://sourceforge.net/projects/opencvlibrary/files/opencv-unix/2.4.9/opencv-2.4.9.zip/download

 

二.OpenCV的编译安装

1.安装依赖项

sudo apt-get -qq install libopencv-dev build-essential checkinstall cmake pkg-config libjpeg-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev libdc1394-22-dev libxine-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev libv4l-dev python-dev python-numpy libtbb-dev libqt4-dev libgtk2.0-dev libopencore-amrnb-dev libopencore-amrwb-dev x264 v4l-utils 

2.编译安装

解压-进入opencv目录

cd opencv-2.4.9

创建一个编译目录-进入目录（第一次安装时忘记了这一步）

mkdir release
cd release

开始编译（prefix是指定一个目录）

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local ..
make
sudo make install

等待之后（15分钟左右），过程会有进度的提示，编译结束后会看到如下信息：

-- Configuring done
-- Generating done
-- Build files have been written to: /自己的目录/opencv-2.4.9

3.添加动态库信息

可以查看生成的动态库：

zyx@zyx-ubuntu:/usr/local/lib$ ls
libopencv_calib3d.so           libopencv_ml.so.2.4.9
libopencv_calib3d.so.2.4       libopencv_nonfree.so
libopencv_calib3d.so.2.4.9     libopencv_nonfree.so.2.4
libopencv_contrib.so           libopencv_nonfree.so.2.4.9
libopencv_contrib.so.2.4       libopencv_objdetect.so
libopencv_contrib.so.2.4.9     libopencv_objdetect.so.2.4
libopencv_core.so              libopencv_objdetect.so.2.4.9
libopencv_core.so.2.4          libopencv_ocl.so
libopencv_core.so.2.4.9        libopencv_ocl.so.2.4
libopencv_features2d.so        libopencv_ocl.so.2.4.9
libopencv_features2d.so.2.4    libopencv_photo.so
libopencv_features2d.so.2.4.9  libopencv_photo.so.2.4
libopencv_flann.so             libopencv_photo.so.2.4.9
libopencv_flann.so.2.4         libopencv_stitching.so
libopencv_flann.so.2.4.9       libopencv_stitching.so.2.4
libopencv_gpu.so               libopencv_stitching.so.2.4.9
libopencv_gpu.so.2.4           libopencv_superres.so
libopencv_gpu.so.2.4.9         libopencv_superres.so.2.4
libopencv_highgui.so           libopencv_superres.so.2.4.9
libopencv_highgui.so.2.4       libopencv_ts.a
libopencv_highgui.so.2.4.9     libopencv_video.so
libopencv_imgproc.so           libopencv_video.so.2.4
libopencv_imgproc.so.2.4       libopencv_video.so.2.4.9
libopencv_imgproc.so.2.4.9     libopencv_videostab.so
libopencv_legacy.so            libopencv_videostab.so.2.4
libopencv_legacy.so.2.4        libopencv_videostab.so.2.4.9
libopencv_legacy.so.2.4.9      pkgconfig
libopencv_ml.so                python2.7
libopencv_ml.so.2.4            python3.4

在文件/etc/ld.so.conf中添加 /usr/local/lib，或者也可以在/etc/ld.so.conf.d 目录下增加一个conf文件（命名  /etc/ld.so.conf.d.opencv.conf），同样添加 /usr/local/lib，（推荐后者）。

使用下面的动态库管理命令ldconfig，让opencv的相关链接库被系统共享

cd /etc 
sudo ldconfig -v  

最好再重启一下电脑

如果成功的话，使用以下命令会看到动态库的信息

cd /etc
sudo ldconfig -v >temp.so.txt && cat temp.so.txt|grep opencv

libopencv_superres.so.2.4 -> libopencv_superres.so.2.4.9
	libopencv_gpu.so.2.4 -> libopencv_gpu.so.2.4.9
	libopencv_video.so.2.4 -> libopencv_video.so.2.4.9
	libopencv_legacy.so.2.4 -> libopencv_legacy.so.2.4.9
	libopencv_nonfree.so.2.4 -> libopencv_nonfree.so.2.4.9
	libopencv_ml.so.2.4 -> libopencv_ml.so.2.4.9
	libopencv_contrib.so.2.4 -> libopencv_contrib.so.2.4.9
	libopencv_photo.so.2.4 -> libopencv_photo.so.2.4.9
	libopencv_videostab.so.2.4 -> libopencv_videostab.so.2.4.9
	libopencv_features2d.so.2.4 -> libopencv_features2d.so.2.4.9
	libopencv_objdetect.so.2.4 -> libopencv_objdetect.so.2.4.9
	libopencv_calib3d.so.2.4 -> libopencv_calib3d.so.2.4.9
	libopencv_core.so.2.4 -> libopencv_core.so.2.4.9
	libopencv_imgproc.so.2.4 -> libopencv_imgproc.so.2.4.9
	libopencv_highgui.so.2.4 -> libopencv_highgui.so.2.4.9
	libopencv_stitching.so.2.4 -> libopencv_stitching.so.2.4.9
	libopencv_ocl.so.2.4 -> libopencv_ocl.so.2.4.9
	libopencv_flann.so.2.4 -> libopencv_flann.so.2.4.9
	libopencv_core.so.2.4 -> libopencv_core.so.2.4.8
	libopencv_imgproc.so.2.4 -> libopencv_imgproc.so.2.4.8

4.指定头文件位置

在 /etc/profile 这个文件中添加

export  PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig  

参考其他教程，输入pkg-config –cflags opencv 和pkg-config –libs opencv ,可以发现以下信息：

pkg-config --cflags opencv
-I/usr/local/include/opencv -I/usr/local/include 

但是我并没有出现这些信息，不影响使用。

到此，OpenCV配置完成

5.测试OpenCV

OpenCV自带测试例子，进入解压的opencv目录，运行：

samples/c/build_all.sh

完成后，显示所有可执行的文件

find . -perm /u=x,g=x,o=x

可以自己调用看能不能成功运行。

三.安装ffmpeg

安装ffmpeg时遇到了很多问题，每次安装好ffmpeg之后，再安装opencv就会导致ffmpeg不能使用，显示的问题大概是一个relocate的错误，所以我先安装了opencv，然后ffmpeg只进行了简单的安装，并没有按许多教程所说，修改文件之类的。

sudo add-apt-repository ppa:kirillshkrogalev/ffmpeg-next 
sudo apt-get update 
sudo apt-get install ffmpeg

使用命令,会显示版本信息

ffmpeg -version

 

参考以下链接：

 

https://blog.csdn.net/u013685264/article/details/52814721

 

https://blog.csdn.net/qq_29828623/article/details/53172574