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  • Setting/Installing up OpenCV 2.4.6.1+ on Ubuntu 12.04.02

    30 mai 2016, par Damilola

    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 /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 ), called prepare
    
# cd prepare
    
# Copy the following script to gedit and save as install.sh to current dir, this should be /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 /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 )
    
    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 
    
    #include <opencv2></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 
    
#include <opencv2></opencv2>opencv.hpp>
    
#include <opencv2></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 &amp; run :
    

    

    

    
g++  `pkg-config --cflags --libs opencv` &amp;&amp; ./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  &amp;&amp; ./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 &amp; do
    

    

    

    
gcv  &amp;&amp; ./a.out
    

    
or
    

    

    

    
gcv 
    
    ./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

  • Revision 85640f1c9d : vp9 : remove unnecessary wait w/threaded loopfilter the final macroblock rows ar

    22 août 2013, par James Zern

    Changed Paths :
     Modify /vp9/decoder/vp9_decodframe.c



    vp9 : remove unnecessary wait w/threaded loopfilter

    the final macroblock rows are scheduled in the main thread. prior to
    this change one additional macroblock row would be scheduled in the
    worker forcing the main thread to wait before finishing.

    Change-Id : I05f3168e5c629b898fcebb0d77eb6d6a90d6105e

  • How to solve bad instruction `vadd.i16 q0,q0,q0' when attempting to check gcc for neon instruction

    6 juillet 2012, par newentry
    Checking  gcc supports failed for neon instruction vadd.i16 q0,q0,q0
    
    test.c
    

    
    int main ()
    
    {
    
     __asm__("vadd.i16 q0, q0, q0"); return 0;
    
    }
    

    
    arm-linux-androideabi-gcc test.c
    
    /tmp/ccfc8m0G.s: Assembler messages:
    
    /tmp/ccfc8m0G.s:24: Error: bad instruction `vadd.i16 q0,q0,q0&#39;

    Tried with flags -mcpu=cortex-a8 -mfpu=neon but stil no success

    Above code was used to test gcc support for neon instruction.

    Actually i am trying to build x264 with NEON support for ARM platformAfter running configure script
    x264 config log file contains

    Command line options : "—cross-prefix=arm-linux-androideabi-" "—enable-pic" "—extra- cflags=-mcpu=cortex-a8" "—host=arm-linux"

    checking whether arm-linux-androideabi-gcc works... yes
    
checking whether arm-linux-androideabi-gcc supports for( int i = 0; i &lt; 9; i++ ); with -std=gnu99... yes
    
checking whether arm-linux-androideabi-gcc supports __asm__("rev ip, ip");... yes
    
checking whether arm-linux-androideabi-gcc supports __asm__("movt r0, #0");... yes
    
checking whether arm-linux-androideabi-gcc supports __asm__("vadd.i16 q0, q0, q0");... no
    

    
arm-linux-androideabi-gcc conftest.c  -Wall -I. -I$(SRCPATH) -mcpu=cortex-a8 -std=gnu99    -lm -o conftest
    
E:\cygwin\tmp\ccVtVI1i.s: Assembler messages:
    
E:\cygwin\tmp\ccVtVI1i.s:24: Error: bad instruction `vadd.i16 q0,q0,q0&#39;
    
--------------------------------------------------
    
Failed program was:
    
--------------------------------------------------
    
int main () { __asm__("vadd.i16 q0, q0, q0"); return 0; }
    
--------------------------------------------------
    

    

    
config.h contains
    

    
#define HAVE_MALLOC_H 1
    
#define HAVE_ARMV6 1
    
#define HAVE_ARMV6T2 1
    
#define ARCH_ARM 1
    
#define SYS_LINUX 1
    
#define HAVE_VECTOREXT 1
    
#define fseek fseeko
    
#define ftell ftello
    
#define HAVE_GPL 1
    
#define HAVE_INTERLACED 1
    
#define HAVE_ALTIVEC 0
    
#define HAVE_ALTIVEC_H 0
    
#define HAVE_MMX 0
    
#define HAVE_NEON 0
    
#define HAVE_BEOSTHREAD 0
    
#define HAVE_POSIXTHREAD 0
    
#define HAVE_WIN32THREAD 0
    
#define HAVE_THREAD 0
    
#define HAVE_LOG2F 0
    
#define HAVE_VISUALIZE 0
    
#define HAVE_SWSCALE 0
    
#define HAVE_LAVF 0
    
#define HAVE_FFMS 0
    
#define HAVE_GPAC 0
    
#define HAVE_GF_MALLOC 0
    
#define HAVE_AVS 0
    
#define HAVE_CPU_COUNT 0
    

    

    
Running make command build x264 static lib  based on above config.h which contains HAVE_NEON 0
    

    

    
**Compiler Version**
    

    

    

    
arm-linux-androideabi-gcc -v
    
Using built-in specs.
    
Target: arm-linux-androideabi
    
Configured with: /tmp/ndk-digit/src/build/../gcc/gcc-4.4.3/configure --prefix=/usr/local/google/digit/repo/opensource/ndk/toolchains/arm-linux-androideabi-4.4.3/prebuilt/windows --target=arm-linux-androideabi --host=i586-mingw32msvc --build=x86_64-linux-gnu --with-gnu-as --with-gnu-ld --enable-languages=c,c++ --with-gmp=/tmp/ndk-digit/build/toolchain/temp-install --with-mpfr=/tmp/ndk-digit/build/toolchain/temp-install --disable-libssp --enable-threads --disable-nls --disable-libmudflap --disable
    
-libgomp --disable-libstdc__-v3 --disable-sjlj-exceptions --disable-shared --disable-tls --with-float=soft --with-fpu=vfp --with-arch=armv5te --enable-target-optspace --enable-initfini-array --disable-nls --prefix=/usr/local/google/digit/repo/opensource/ndk/toolchains/arm-linux-androideabi-4.4.3/prebuilt/windows --with-sysroot=/usr/local/google/digit/repo/opensource/ndk/toolchains/arm-linux-androideabi-4.4.3/prebuilt/windows/sysroot --with-binutils-version=2.20.1 --with-mpfr-version=2.4.1 --with
    
-gmp-version=4.2.4 --with-gcc-version=4.4.3 --with-gdb-version=6.6 --with-arch=armv5te --program-transform-name=&#39;s,^,arm-linux-androideabi-,&#39;
    
Thread model: posix
    
gcc version 4.4.3 (GCC)    

    Goal is to utilize neon enabled ARM processor to boost x264 encoder performance...

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