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  • Publier sur MédiaSpip

    13 juin 2013

    Puis-je poster des contenus à partir d’une tablette Ipad ?
    Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir

  • MediaSPIP Player : problèmes potentiels

    22 février 2011, par

    Le lecteur ne fonctionne pas sur Internet Explorer
    Sur Internet Explorer (8 et 7 au moins), le plugin utilise le lecteur Flash flowplayer pour lire vidéos et son. Si le lecteur ne semble pas fonctionner, cela peut venir de la configuration du mod_deflate d’Apache.
    Si dans la configuration de ce module Apache vous avez une ligne qui ressemble à la suivante, essayez de la supprimer ou de la commenter pour voir si le lecteur fonctionne correctement : /** * GeSHi (C) 2004 - 2007 Nigel McNie, (...)

  • Mise à jour de la version 0.1 vers 0.2

    24 juin 2013, par

    Explications des différents changements notables lors du passage de la version 0.1 de MediaSPIP à la version 0.3. Quelles sont les nouveautés
    Au niveau des dépendances logicielles Utilisation des dernières versions de FFMpeg (>= v1.2.1) ; Installation des dépendances pour Smush ; Installation de MediaInfo et FFprobe pour la récupération des métadonnées ; On n’utilise plus ffmpeg2theora ; On n’installe plus flvtool2 au profit de flvtool++ ; On n’installe plus ffmpeg-php qui n’est plus maintenu au (...)

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  • ffmpeg extract multiple frames from single input

    10 octobre 2023, par Andrew Still

    I'm trying to dynamically extract multiple different frames from single video input. So the command I'm calling looking like this

    


    ffmpeg -loglevel debug -hide_banner -t 13.269541 -y -ss 0 -i "input-s3-url" -ss 13.269541 -i "same-input-s3-url" -map 0:v -vframes 1 /tmp/ca4cd7a3159743938c5362c171ea2cae.0.png -map 1:v -vframes 1 /tmp/ca4cd7a3159743938c5362c171ea2cae.13.269541.png


    


    It works and everything is good, until I deploy it to lambda. Even though I'm using 10gb of RAM it still failing with error. Locally it works like a charm but not on lambda. I'm not sure what the problem here but i'm regularly (not always) getting SIGSEGV

    


    enter image description here

    


    Double-checked memory usage and it's doesn't look like a reason, but I'm not sure how correct this number

    


    enter image description here

    


    I'm think maybe it's because it's making requests for each input, at least that's what I saw in debug mode, but still have no idea what's the problem here, would appreciate any suggestions/optimizations/help. Thanks

    


    ffmpeg added on lambda using this layer - https://serverlessrepo.aws.amazon.com/applications/us-east-1/145266761615/ffmpeg-lambda-layer

    


  • how to scale server setup with ffmpeg for converting videos on website

    26 mai 2020, par Tom

    I have a website that will offer video conversion service with ffmpeg. Users will select some options and click a button to process and create a video. The site is currently using laravel/php. If there are many requests at the same time, how should I handle the scaling up ? How can it be done with traditional ISP ? How about cloud service, e.g. Amazon, Digital Ocean ?

    


  • FFMPEG on Heroku exceeds memory quota in testing

    5 juillet 2022, par Patrick Vellia

    After following this tutorial, and getting it to work locally on my own development environment, before really getting my hands dirty and working deeper on my own project implementation, I decided to push it up to Heroku to test in a staging environment.

    


    I had to have Heroku add the FFMPEG build-pack and turn on the Redis Server for ActionCable to work.

    


    I didn't link the staging to a cloud storage bucket on Google or Amazon yet, just allowed it to upload directly to the dymo disk for testing. So it would go into the storage directory as it would in development for now.

    


    the test MOV file is 186 MB in size.

    


    The system uploaded the file fine.

    


    According to the logs, it then copied the file from storage to tmp as the tutorial has us do.

    


    Then it called streamio-ffmpeg's transcode method.

    


    At this point, Heroku forcibly kills the dymo because it far exceeds the memory quota.

    


    As this is a test environment, it's only on the free tier of Heroku.

    


    I'm thinking I won't be able to directly process video projects on Heroku itself, unless I'm wrong ? Would it be better to call an API like Cloud Functions or Amazon Lambda, or spin up a Compute Engine long enough to process the FFMPEG command ?

    


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