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Médias (1)
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The pirate bay depuis la Belgique
1er avril 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Image
Autres articles (68)
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Amélioration de la version de base
13 septembre 2013Jolie sélection multiple
Le plugin Chosen permet d’améliorer l’ergonomie des champs de sélection multiple. Voir les deux images suivantes pour comparer.
Il suffit pour cela d’activer le plugin Chosen (Configuration générale du site > Gestion des plugins), puis de configurer le plugin (Les squelettes > Chosen) en activant l’utilisation de Chosen dans le site public et en spécifiant les éléments de formulaires à améliorer, par exemple select[multiple] pour les listes à sélection multiple (...) -
Emballe médias : à quoi cela sert ?
4 février 2011, parCe plugin vise à gérer des sites de mise en ligne de documents de tous types.
Il crée des "médias", à savoir : un "média" est un article au sens SPIP créé automatiquement lors du téléversement d’un document qu’il soit audio, vidéo, image ou textuel ; un seul document ne peut être lié à un article dit "média" ; -
Menus personnalisés
14 novembre 2010, parMediaSPIP utilise le plugin Menus pour gérer plusieurs menus configurables pour la navigation.
Cela permet de laisser aux administrateurs de canaux la possibilité de configurer finement ces menus.
Menus créés à l’initialisation du site
Par défaut trois menus sont créés automatiquement à l’initialisation du site : Le menu principal ; Identifiant : barrenav ; Ce menu s’insère en général en haut de la page après le bloc d’entête, son identifiant le rend compatible avec les squelettes basés sur Zpip ; (...)
Sur d’autres sites (8233)
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Getting a "memory access out of bounds" error while concatenating multiple videos with @mmfpeg React
1er juillet 2021, par Bilal MohammedI'm trying to concatenate multiple videos with react using @ffmpeg. I tried creating a GIF from the video, and it's working fine, but I'm not having luck with video concatenation. I'm getting a "memory access out of bounds" error. Have no idea what can go wrong here.
Any help will be appreciated.


const mergeVideos = async () =>


let myFile = ''

for (let i = 0; i < video.length; i++) {
 myFile += `file ${ await fetchFile(video[i]) }`

}
ffmpeg.FS('writeFile', 'MyList.txt', myFile);

await ffmpeg.run('-f','concat', '-safe',0, '-i', 'MyList.txt', '-codec','-c', 'output.mp4');

// Read the result
 data = ffmpeg.FS('readFile', 'output.mp4');

// Create a URL
const url = URL.createObjectURL(new Blob([data.buffer], { type: 'video/mp4'}));

setMergedVideos(url)





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AWS Lambda and Fluent FFMPEG error "cannot read property "isStream" of undefined"
29 mai 2021, par Travis Leeso here's the goal : convert a .webm file hosted in an S3 into a gif and upload that to a new bucket. This all works fine when run locally, but when trying to translate it into a lambda, fluent-ffmpeg throws errors when it runs the command.


Here's the code snippet :


ffmpeg(new URL(vid))
 .outputOptions("-vf", "scale=320:-1:flags=lanczos,fps=14")
 .on('progress', () => {
 console.log('progress');
 })
 .on('end', () => {
 //Do stuff with the result when it is done
 })
 .output(newKey)
 .run(newKey);



in this snippet, "vid" is a presigned GET url for an S3 bucket containing the .webm video file, and "newKey" is the name of the new bucket (and a temporary writeStream/File that is created in the lambda to store the new .gif file until we upload it to S3 - not super relevant to this issue).


What should happen (and does locally) is that a new output is created containing the converted .gif file


What happens when it is deployed in a lambda is that it reaches the .outputOptions call and throws a type error saying that it cannot read property isStream of undefined.


At first glance, this seems like I simply don't have FFMPEG installed in the lambda, but I do. I have tried with the prebuilt layer using NodeJS 10 found here : https://serverlessrepo.aws.amazon.com/applications/us-east-1/145266761615/ffmpeg-lambda-layer ,
with a NodeJS 12 layer that was built by some engineers here previously, and tried building a NodeJS 14 FFMPEG layer myself and using that. I tried for all three using no configuration and letting it call the PATH ffmpeg, using the FFMPEG_PATH and FFPROBE_PATH environment variables set to either what was specified in the previous layers, or what I made it in the newly built one, and even manually setting the path to the executables using the setFfmpegPath and setFfprobePath functions found on the fluent-ffmpeg object.


Lastly, I even tried bundling the executables in with the actual lambda code itself and uploading it through an S3, trying all three above methods of getting it to point to the correct paths once again to no avail.


I'm seriously in need of help if anyone else has encountered something similar or just might know what is going on. I'm at wit's end here trying to figure this out.


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How do you suppress "Error in the pull function" messages to stdout ?
23 mai 2021, par Vincent LinI am working on making my Discord bot into a music player using youtube-dl. I got past the common problem of music being interrupted from an "Error in the pull function" by having ffmpeg reconnect upon this error. However, I cannot figure out how to suppress the error messages being sent to stdout anyway :


[tls @ 0000023ea3564e80] Error in the pull function.
[https @ 0000023ea3560d80] Will reconnect at 327680 in 0 second(s), error=I/O error.



My ytdl options and ffmpeg options are as follows :


YTDL_OPTIONS = \
{"format": "bestaudio",
 "noplaylist": True,
 "quiet": True}
FFMPEG_OPTIONS = \
{"before_options": "-reconnect 1 -reconnect_streamed 1 -reconnect_delay_max 5",
 "options": "-vn"}



I experimented with various YTDL options like
"no_warnings": False
,"debug_printtraffic": False
,"progress_hooks": []
, etc. However, none of these additions worked. To be honest, I don't even know the source of these messages (youtube-dl or discord.py itself). Is there a way to suppress these messages ?