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  • Supporting all media types

    13 avril 2011, par

    Unlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)

  • ANNEXE : Les plugins utilisés spécifiquement pour la ferme

    5 mars 2010, par

    Le site central/maître de la ferme a besoin d’utiliser plusieurs plugins supplémentaires vis à vis des canaux pour son bon fonctionnement. le plugin Gestion de la mutualisation ; le plugin inscription3 pour gérer les inscriptions et les demandes de création d’instance de mutualisation dès l’inscription des utilisateurs ; le plugin verifier qui fournit une API de vérification des champs (utilisé par inscription3) ; le plugin champs extras v2 nécessité par inscription3 (...)

  • Encoding and processing into web-friendly formats

    13 avril 2011, par

    MediaSPIP automatically converts uploaded files to internet-compatible formats.
    Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
    Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
    Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
    All uploaded files are stored online in their original format, so you can (...)

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  • Amazon S3 : how to combine all images into a video ?

    9 septembre 2021, par scientiffic

    I'm in my Rails app, I enable users to upload images, which get processed using ffmpeg to create a video slideshow.

    



    I have this working locally, but am wondering how to do this when deploying the app using Heroku. In particular, I know Heroku has limited storage and has a read-only filesystem, so using Carrierwave without S3 or an external storage option doesn't seem like an option.

    



    But how would I run a task like the following using S3, where I combine all images into a video ?

    



    The ffmpeg command is

    



    ffmpeg -r 5 -i https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg output.mp4 -y


    



    And the AWS "folder" contains the following :
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img001.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img002.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img003.jpg

    



    When I try to do the following, I get an error with ffmpeg not knowing what to do with :

    



    https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg


    



    Note, this whole video compilation process works fine for me locally, so I know in theory it should work.

    


  • install ffmpeg on amazon ecr linux python

    27 mai 2024, par Luka Savic

    I'm trying to install ffmpeg on docker for amazon lambda function.
Code for Dockerfile is :

    


    FROM public.ecr.aws/lambda/python:3.8

# Copy function code
COPY app.py ${LAMBDA_TASK_ROOT}

# Install the function's dependencies using file requirements.txt
# from your project folder.

COPY requirements.txt  .
RUN  yum install gcc -y
RUN  pip3 install -r requirements.txt --target "${LAMBDA_TASK_ROOT}"
RUN  yum install -y ffmpeg

# Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile)
CMD [ "app.handler" ]


    


    I am getting an error :

    


     > [6/6] RUN  yum install -y ffmpeg:
#9 0.538 Loaded plugins: ovl
#9 1.814 No package ffmpeg available.
#9 1.843 Error: Nothing to do


    


  • Upload a LIVE HLS output from FFMPEG to Amazon S3 bucket

    22 janvier 2023, par Pit Digger

    I have an ffmpeg command that outputs live hls stream from a vod file to local disk. I would like to upload the HLS chunks and manifest file in real time to Amazon S3 Bucket. Is it possible to upload it directly from memory ?

    


    Here is the ffmpeg command

    


    ffmpeg -stream_loop -1 -re -i bunny_1080p_30fps.mp4 -c:v libx264 \
-x264opts keyint=30:min-keyint=30:scenecut=-1 -tune zerolatency -s 1280x720 \
-b:v 1400k -bufsize 1400k -hls_start_number_source epoch -f hls stream.m3u8


    


    Note that I have checked all questions here but none of them do that for a live stream and for multiple files output like hls or dash stream.

    


    One option that I have tried is using node-watch module and upload file on change notification, but that does introduce some buffering. But if there was any better option. https://github.com/yuanchuan/node-watch