Install OpenCV 2.4.9 in Ubuntu 14.04, 13.10



OpenCV is the most popular and advanced code library for Computer Vision related applications today, spanning from many very basic tasks (capture and pre-processing of image data) to high-level algorithms (feature extraction, motion tracking, machine learning). It is free software and provides a rich API in C, C++, Java and Python. Other wrappers are available. The library itself is platform-independent and often used for real-time image processing and computer vision.

What’s new in 2.4.9

• new 3D visualization module ‘viz’
• performance fixes in ‘ocl’ module
• fixes in Android Camera
• improved CUDA support for mobile platforms
• bugfixes from community
• 55 reported bugs have been closed
• 156 pull requests have been merged

See the full ChangeLog for more information

Install OpenCV

Step 1: Make Directory

mkdir opencv

cd /opencv/

Step 2: Remove any pre-installed ffmpeg and x264

sudo apt-get -qq remove ffmpeg x264 libx264-dev

Step 3:  Install Dependenices

 

As reported by kumaranbus, installing ‘libopencv-dev‘ on non nvidia graphics card messes up the drivers. As a workaround for non nvidia cards like AMD/ATI, Radeon, replace libopencv-dev below with ‘ocl-icd-libopencl1‘ which is a generic driver. Please note that I have not tried this out yet as I have no ATI/Radeon cards to test with

 

sudo apt-get -qq install libopencv-dev build-essential checkinstall cmake pkg-config yasm 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 libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils

- Install ffmpeg

sudo add-apt-repository ppa:mc3man/trusty-media

sudo apt-get update

sudo apt-get install ffmpeg gstreamer0.10-ffmpeg

Step 4: Download and extract OpenCV

wget -O OpenCV-2.4.9.zip http://fossies.org/linux/misc/opencv-2.4.9.zip

unzip OpenCV-2.4.9.zip

cd opencv-2.4.9

Step 5: Begin Build Process

Note that this bit would take some time to complete

mkdir build

cd build

cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON ..

make -j2

sudo make install

sudo sh -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'

sudo ldconfig

- Reboot your machine

Step 6: Example using OpenCV

- Change directory to following location

cd /usr/local/share/OpenCV/samples/c

- Execute following commands

sudo chmod +x build_all.sh

sudo ./build_all.sh

./facedetect "/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml" lena.jpg

or

./facedetect --cascade="/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml" lena.jpg

2.4.13以及3.2.0

cmake  -D CMAKE_BUILD_TYPE=Releases WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON -D OPENCV_BUILD_3RDPARTY_LIBS=ON WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON  -D WITH_QT=ON -D CMAKE_INSTALL_PREFIX=/opt/local/opencv2.4.13 ..

cmake  -D CMAKE_BUILD_TYPE=Releases -D WITH_TBB=ON -D BUILD_NEW_PYTHON_SUPPORT=ON OPENCV_BUILD_3RDPARTY_LIBS=ON -D WITH_V4L=ON -D INSTALL_C_EXAMPLES=ON -D INSTALL_PYTHON_EXAMPLES=ON -D BUILD_EXAMPLES=ON -D WITH_QT=ON -D WITH_OPENGL=ON  -D WITH_QT=ON -D CMAKE_INSTALL_PREFIX=/opt/local/opencv3.2.0 ..

編譯過程當中出現下載ippicv_linux_20151201.tgz失敗的解決：

cd opencv-3.2.0/3rdparty/ippicv/downloads/linux-808b791a6eac9ed78d32a7666804320e/
wget https://raw.githubusercontent.com/Itseez/opencv_3rdparty/81a676001ca8075ada498583e4166079e5744668/ippicv/ippicv_linux_20151201.tgz

環境變量：

#opencv environment
#export OPENCV=/opt/local/opencv2.4.13 
export OPENCV=/opt/local/opencv3.2.0
export PATH=$PATH:$OPEVCV/bin  
export LD_LIBRARY_PATH=$OPENCV/lib:$LD_LIBRARY_PATH 
export PKG_CONFIG_PATH=$OPENCV/lib/pkgconfig:$PKG_CONFIG_PATH

多版本（默認3.2下使用2.4）：

sudo cp /opt/local/opencv2.4.13/lib/pkgconfig/opencv.pc /opt/local/opencv3.2.0/lib/pkgconfig/opencv2.4.pc 

vi /opt/local/opencv3.2.0/lib/pkgconfig/opencv2.4.pc

在libs:最後面追加 -Wl,-rpath=/opt/local/opencv2.4.13/lib

修改後的opencv2.4.pc內容以下：

# Package Information for pkg-config

prefix=/opt/local/opencv2.4.13
exec_prefix=${prefix}
libdir=${exec_prefix}/lib
includedir_old=${prefix}/include/opencv
includedir_new=${prefix}/include

Name: OpenCV
Description: Open Source Computer Vision Library
Version: 2.4.13
Libs: -L${exec_prefix}/lib -lopencv_calib3d -lopencv_contrib -lopencv_core -lopencv_features2d -lopencv_flann -lopencv_gpu -lopencv_highgui -lopencv_imgproc -lopencv_legacy -lopencv_ml -lopencv_nonfree -lopencv_objdetect -lopencv_ocl -lopencv_photo -lopencv_stitching -lopencv_superres -lopencv_ts -lopencv_video -lopencv_videostab -L/usr/lib/x86_64-linux-gnu -lGL -lGLU -lrt -lpthread -lm -ldl -Wl,-rpath=/opt/local/opencv2.4.13/lib
Cflags: -I${includedir_old} -I${includedir_new}

使用：g++ first.cpp -o first `pkg-config --cflags --libs opencv2.4`

// g++ first.cpp -o first `pkg-config --cflags --libs opencv2.4`
//顯示圖像文件
#include <opencv2/opencv.hpp>
using namespace std;

int main()
{
	const char *pstrImageName = "衝浪大師賽001.jpg";
	const char *pstrWindowsTitle = "OpenCV第一個程序(http://blog.csdn.net/MoreWindows)";

	//從文件中讀取圖像
	IplImage *pImage = cvLoadImage(pstrImageName, CV_LOAD_IMAGE_UNCHANGED);

	//建立窗口
	cvNamedWindow(pstrWindowsTitle, CV_WINDOW_AUTOSIZE);

	//在指定窗口中顯示圖像
	cvShowImage(pstrWindowsTitle, pImage);

	//等待按鍵事件
	cvWaitKey();

	cvDestroyWindow(pstrWindowsTitle);
	cvReleaseImage(&pImage);
	return 0;
}

該程序在2.4.13下正常運行