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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page. -
Soumettre améliorations et plugins supplémentaires
10 avril 2011Si vous avez développé une nouvelle extension permettant d’ajouter une ou plusieurs fonctionnalités utiles à MediaSPIP, faites le nous savoir et son intégration dans la distribution officielle sera envisagée.
Vous pouvez utiliser la liste de discussion de développement afin de le faire savoir ou demander de l’aide quant à la réalisation de ce plugin. MediaSPIP étant basé sur SPIP, il est également possible d’utiliser le liste de discussion SPIP-zone de SPIP pour (...) -
Publier sur MédiaSpip
13 juin 2013Puis-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
Sur d’autres sites (8494)
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FFMPEG failing in AWS Lambda
18 février 2019, par Zaid AmirI am trying to create a transcoding function for short videos. The function is hosted on AWS Lambda. The problem is that AWS lambda seems to be missing something that FFMPEG requires, at least according to Amazon.
I contacted Amazon earlier and this is their response to the issue :
We found that the FFMPEG operations require at least libx264 and an
acc library, both of which will have dependencies of their own. To
troubleshoot the issue it will involve diving deeper into the full
dependency chain. We can see that it works in the Amazon Linux
environment however, the environment is similar but not identical to
the lambda environment. There can be some dependencies that exist in
Amazon Linux but not in lambda environment as Lambda runs on the
container. Here, as FFmpeg is a third party software, diving deeper
into the dependency chain and verifying the version compatibilities is
very hard to do. Unfortunately going further, this is bound to go into
architecture and code support which is out of AWS Support scope 1. I
hope you understand our limitations. However should FFmpeg support
have any questions specific to the Lambda platform, please do let us
know and we will be happy to assist. We will be in better position to
investigate further once you receive an update from the FFmpeg support
suggesting an issue from Lambda end.Upon AWS suggestion, I contacted FFMPEG on the developers mailing list, my message was rejected with the reason being that its more suited to ffmpeg users mailing list than developers. I sent an email to ’ffmpeg-user@ffmpeg.org’ a week ago and did not get any response yet.
I then went and built a dynamically linked ffmpeg version making sure to package all libraries, checked ddl on each one, then made a small lambda function that looped over all binaries and ddled each one of them, compared that to the output I got from Amazon Linux and the same dependencies/versions exists on both lambda and the AWS Linux instance yet ffmpeg still fails on lambda.
You can find a detailed log file here : https://www.datafilehost.com/d/6e5e21bb
And this is a sample of the errors I’m getting, repeated across the entire log file :
2018-08-14T12:27:10.874Z [h264 @ 0x65c2fc0] concealing 2628 DC, 2628
AC, 2628 MV errors in P frame2018-08-14T12:27:10.874Z [aac @ 0x65d2f00] channel element 2.11 is not
allocated2018-08-14T12:27:10.874Z Error while decoding stream #0:1 : Invalid
data found when processing input2018-08-14T12:27:10.874Z [h264 @ 0x67e86c0] Invalid NAL unit size
(108085662 > 1649).2018-08-14T12:27:10.874Z [h264 @ 0x67e86c0] Error splitting the input
into NAL units.2018-08-14T12:27:10.874Z [aac @ 0x65d2f00] channel element 2.0 is not
allocated2018-08-14T12:27:10.874Z Error while decoding stream #0:1 : Invalid
data found when processing input2018-08-14T12:27:10.874Z [h264 @ 0x68189c0] Invalid NAL unit size
(71106974 > 1085).2018-08-14T12:27:10.874Z [h264 @ 0x68189c0] Error splitting the input
into NAL units.2018-08-14T12:27:10.874Z [aac @ 0x65d2f00] Pulse tool not allowed in
eight short sequence.This log is generated when trying to perform an HLS transcoding on this file : https://www.datafilehost.com/d/999a4492
Note that the issue is not related to that file alone nor is it related to HLS, its general and happen on all videos and any ffmpeg command that tries to seek the stream, even tried extracting a single frame from a video using the simplest form possible for example :
ffmpeg -ss 00:00:02 -I file.mp4 -vframes 1 -y output.jpg
also fails with the same errors in the log file.Not sure how to debug this further. Tried enabling debug logs with ‘-loglevel debug’ but did not give me any extra info. Any help or suggestions
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Carrierwave watermark a movie
15 mai 2016, par FelixI’m uploading a movie with carrierwave to amazon S3. While uploading I want to watermark the movie.
How can I do this ? How can I use stermio-ffmpeg while uploading ?
I’m using a Rails application.
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ffmpeg extract multiple frames from single input causing SIGSEGV in node.js child_process on lambda env
11 octobre 2023, par Andrew StillI'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


at ChildProcess.exithandler (node:child_process:402:12)
at ChildProcess.emit (node:events:513:28) 
at ChildProcess.emit (node:domain:489:12)
at maybeClose (node:internal/child_process: 1100:16)
at Process.ChildProcess._handle.onexit (node:internal/child_process:304:5) 
{
code: null, 
killed: false, 
signal: 'SIGSEGV'
cmd: '/opt/bin/ffmpeg -loglevel error -hide_banner -t 131.805393 -y -ss 0 -i "https: //



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


Memory size : 10240 MB Max Memory used : 140 MB


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