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  • La file d’attente de SPIPmotion

    28 novembre 2010, par

    Une file d’attente stockée dans la base de donnée
    Lors de son installation, SPIPmotion crée une nouvelle table dans la base de donnée intitulée spip_spipmotion_attentes.
    Cette nouvelle table est constituée des champs suivants : id_spipmotion_attente, l’identifiant numérique unique de la tâche à traiter ; id_document, l’identifiant numérique du document original à encoder ; id_objet l’identifiant unique de l’objet auquel le document encodé devra être attaché automatiquement ; objet, le type d’objet auquel (...)

  • Configurer la prise en compte des langues

    15 novembre 2010, par

    Accéder à la configuration et ajouter des langues prises en compte
    Afin de configurer la prise en compte de nouvelles langues, il est nécessaire de se rendre dans la partie "Administrer" du site.
    De là, dans le menu de navigation, vous pouvez accéder à une partie "Gestion des langues" permettant d’activer la prise en compte de nouvelles langues.
    Chaque nouvelle langue ajoutée reste désactivable tant qu’aucun objet n’est créé dans cette langue. Dans ce cas, elle devient grisée dans la configuration et (...)

  • Creating farms of unique websites

    13 avril 2011, par

    MediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
    This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)

Sur d’autres sites (6402)

  • FFMPEG to remote server : Live streaming with segments [migrated]

    10 août 2013, par Brianjs

    I have looked around and have found many good articles on how to use ffmpeg to segment live video for HLS streaming. However, I need to be able to use use an encoder from a remote location (that is receiving live video), and then somehow send these segmented files and the m3u8/ts files to a web server in a different location, in real time.

    So :
    REMOTE COMPUTER(camera->ffmpeg->segmenter) -> WEBSERVER(receives files -> users connect for "live" stream)

    My question is : Has anyone seen something similar to this ? Or is there a setting on ffmpeg/ffserver that will let me do this ?

  • Setting up OpenCV 2.4.6.1 on Ubuntu 12.04.02

    12 août 2013, 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 libopencv-dev
    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 4

    # still ensure you haven't close the new terminal window open in STEP 3
    # execute the following
       mkdir build
       cd build
       cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D BUILD_SHARED_LIBS=OFF -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
       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 these locations
    #   /usr/local/include/, /usr/local/share/, /usr/local/lib/

    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
  • avcodec/vdpau.h : define FF_API_BUFS_VDPAU if its not defined

    6 août 2013, par Michael Niedermayer
    avcodec/vdpau.h : define FF_API_BUFS_VDPAU if its not defined
    

    Similar to 50fb8c1114b9c2b7d299cbc17a18a457d12069a8

    Signed-off-by : Michael Niedermayer <michaelni@gmx.at>

    • [DH] libavcodec/vdpau.h