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Autres articles (15)

  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

  • 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" (...)

  • Other interesting software

    13 avril 2011, par

    We don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
    The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
    We don’t know them, we didn’t try them, but you can take a peek.
    Videopress
    Website : http://videopress.com/
    License : GNU/GPL v2
    Source code : (...)

Sur d’autres sites (2759)

  • libx264 codex not enabled in ffmpeg ubuntu 18.04

    23 novembre 2022, par Bendemann

    I have some weird codex installation issues with the following docker image.

    


    ARG PYTORCH="1.8.0"
ARG CUDA="11.1"
ARG CUDNN="8"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 8.0+PTX"
ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"

# https://github.com/NVIDIA/nvidia-docker/issues/1632
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64/7fa2af80.pub

RUN apt-get update && apt-get install -y \
        git nano ninja-build p7zip-full imagemagick wget unzip \
        libglib2.0-0 libsm6 libxrender-dev libxext6 libturbojpeg \
        libxrender1 libfontconfig1 freeglut3-dev llvm-6.0-tools curl \
        amqp-tools ffmpeg libx264-dev \
    && apt --fix-broken install \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/* \
    # for visualizing
    && wget https://github.com/mmatl/travis_debs/raw/master/xenial/mesa_18.3.3-0.deb \
    && dpkg -i ./mesa_18.3.3-0.deb || true \
    && apt install -f \
    && git clone https://github.com/mmatl/pyopengl.git \
    && pip install ./pyopengl


    


    First of all, libx264 is supposed to be installed by a simple apt-get install ffmpeg in ubuntu 18.04.5. Indeed I see that it is being installed in the installation instructions but for some reason, it's not enabled. This is confirmed when running ffmpeg -codecs | grep 264, which doesn't show libx264 (only h264, libopenh264 are there).

    


    In addition, I also compiled from source, explicitly enabling libx264 during installation. It didn't make a difference.

    


  • libx264 codex not enabled in ffmpeg ubuntu 18.04

    23 novembre 2022, par Bendemann

    I have some weird codex installation issues with the following docker image.

    


    ARG PYTORCH="1.8.0"
ARG CUDA="11.1"
ARG CUDNN="8"
FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0 8.0+PTX"
ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"

# https://github.com/NVIDIA/nvidia-docker/issues/1632
RUN apt-key del 7fa2af80
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/3bf863cc.pub
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu2004/x86_64/7fa2af80.pub

RUN apt-get update && apt-get install -y \
        git nano ninja-build p7zip-full imagemagick wget unzip \
        libglib2.0-0 libsm6 libxrender-dev libxext6 libturbojpeg \
        libxrender1 libfontconfig1 freeglut3-dev llvm-6.0-tools curl \
        amqp-tools ffmpeg libx264-dev \
    && apt --fix-broken install \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/* \
    # for visualizing
    && wget https://github.com/mmatl/travis_debs/raw/master/xenial/mesa_18.3.3-0.deb \
    && dpkg -i ./mesa_18.3.3-0.deb || true \
    && apt install -f \
    && git clone https://github.com/mmatl/pyopengl.git \
    && pip install ./pyopengl


    


    First of all, libx264 is supposed to be installed by a simple apt-get install ffmpeg in ubuntu 18.04.5. Indeed I see that it is being installed in the installation instructions but for some reason, it's not enabled. This is confirmed when running ffmpeg -codecs | grep 264, which doesn't show libx264 (only h264, libopenh264 are there).

    


    In addition, I also compiled from source, explicitly enabling libx264 during installation. It didn't make a difference.

    


  • OpenCV to ffplay from named pipe (fifo)

    13 juillet 2017, par Betsalel Williamson

    I’ve been working on piping video from OpenCV in C++. I’ve tried to pipe the image after processing from OpenCV to a named pipe with the end goal of republishing the stream using a webserver either with VLC or a NodeJS server.

    Where I’m stuck is that the output from OpenCV doesn’t seem to be processing correctly. The video always has artifacts even though it should be the raw video.

    enter image description here

    int main(int argc, char** argv)
    
{
    

    
    VideoCapture camera(argv[1]);
    

    
    float fps = 15;
    

    
    // VLC raw video
    
    printf("Run command:\n\ncat /tmp/myfifo | cvlc --demux=rawvideo --rawvid-fps=%4.2f --rawvid-width=%.0f --rawvid-height=%.0f  --rawvid-chroma=RV24 - --sout \"#transcode{vcodec=h264,vb=200,fps=30,width=320,height=240}:std{access=http{mime=video/x-flv},mux=ffmpeg{mux=flv},dst=:8081/stream.flv}\""
    
        ,fps
    
        ,camera.get(CV_CAP_PROP_FRAME_WIDTH)
    
        ,camera.get(CV_CAP_PROP_FRAME_HEIGHT)
    
        );
    

    

    
    // ffplay raw video
    
    printf("Run command:\n\ncat /tmp/myfifo | ffplay -f rawvideo -pixel_format bgr24 -video_size %.0fx%.0f -framerate %4.2f -i pipe:"
    
        ,camera.get(CV_CAP_PROP_FRAME_WIDTH)
    
        ,camera.get(CV_CAP_PROP_FRAME_HEIGHT)
    
        ,fps
    
        );
    

    
    int fd;
    
    int status;
    

    
    char const * myFIFO = "/tmp/myfifo";
    

    
    if ((status = mkfifo(myFIFO, 0666)) < 0) { 
    
        // printf("Fifo mkfifo error: %s\n", strerror(errno)); 
    
        // exit(EXIT_FAILURE);
    
    } else {
    
        cout << "Made a named pipe at: " << myFIFO << endl;
    
    }
    

    
    cout << "\n\nHit any key to continue after running one of the previously listed commands..." << endl;
    
    cin.get();
    

    
    if ((fd = open(myFIFO,O_WRONLY|O_NONBLOCK)) < 0) {
    
        printf("Fifo open error: %s\n", strerror(errno));
    
        exit(EXIT_FAILURE);
    
    }   
    

    
    while (true)
    
    {
    
        if (waitKey(1) > 0)
    
        {
    
            break;    
    
        }
    

    
        Mat colorImage;
    
        camera >> colorImage; 
    

    
        // method: named pipe as matrix writes data to the named pipe, but image has glitch
    
        size_t bytes = colorImage.total() * colorImage.elemSize();
    

    
        if (write(fd, colorImage.data, bytes) < 0) {
    
            printf("Error in write: %s \n", strerror(errno)); 
    
        }            
    
    }
    

    
    close(fd);
    

    
    exit(EXIT_SUCCESS);
    
}

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