install opencv-2.4.11 in ubuntu

install-opencv-2.4.11-in-ubuntu.sh

# install dependencies
sudo apt-get update
sudo apt-get install -y build-essential
sudo apt-get install -y cmake
sudo apt-get install -y libgtk2.0-dev
sudo apt-get install -y pkg-config
sudo apt-get install -y python-numpy python-dev
sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install -y libjpeg-dev libpng-dev libtiff-dev libjasper-dev
 
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 libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev libvorbis-dev libxvidcore-dev x264 v4l-utils
 
# download opencv-2.4.11
wget http://downloads.sourceforge.net/project/opencvlibrary/opencv-unix/2.4.11/opencv-2.4.11.zip
unzip opencv-2.4.11.zip
cd opencv-2.4.11
mkdir release
cd release
 
# compile and install
cmake -G "Unix Makefiles" -D CMAKE_CXX_COMPILER=/usr/bin/g++ CMAKE_C_COMPILER=/usr/bin/gcc -D CUDA_GENERATION=Auto -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 -D BUILD_FAT_JAVA_LIB=ON -D INSTALL_TO_MANGLED_PATHS=ON -D INSTALL_CREATE_DISTRIB=ON -D INSTALL_TESTS=ON -D ENABLE_FAST_MATH=ON -D WITH_IMAGEIO=ON -D BUILD_SHARED_LIBS=OFF -D WITH_GSTREAMER=ON ..
make all -j4 # 4 cores
sudo make install

# If you are using CUDA 8.0, edit graphcut.cpp (this file does not support CUDA 8.0)
# For more detail, please refer to https://rohanrajblogs.blogspot.kr/2016/12/installation-of-opencv-2411-along-with.html?m=0
# $ vim /home/<user name>/opencv-2.4.11/modules/gpu/src/graphcuts.cpp 
# Now search for this specific line .
# if !defined (HAVE_CUDA) || defined (CUDA_DISABLER)
# Replace the line with this line .
# if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || (CUDART_VERSION >= 8000) 


# ignore libdc1394 error http://stackoverflow.com/questions/12689304/ctypes-error-libdc1394-error-failed-to-initialize-libdc1394
 
#python
#> import cv2
#> cv2.SIFT
#<built-in function SIFT>

hello it works for ubuntu 18.04 ???