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Médias (1)
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Richard Stallman et le logiciel libre
19 octobre 2011, par
Mis à jour : Mai 2013
Langue : français
Type : Texte
Autres articles (89)
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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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Personnaliser les catégories
21 juin 2013, parFormulaire de création d’une catégorie
Pour ceux qui connaissent bien SPIP, une catégorie peut être assimilée à une rubrique.
Dans le cas d’un document de type catégorie, les champs proposés par défaut sont : Texte
On peut modifier ce formulaire dans la partie :
Administration > Configuration des masques de formulaire.
Dans le cas d’un document de type média, les champs non affichés par défaut sont : Descriptif rapide
Par ailleurs, c’est dans cette partie configuration qu’on peut indiquer le (...) -
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 (10415)
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Running Background Process using FFMPEG on Google Cloud Run stopping in middle
7 juillet 2021, par pashaplusI have an external bash script that transcodes audio files using FFmpeg and then uploads the files to google cloud storage. I am using the google cloud run platform for this process but the process is stopping in the middle and not getting any clue from the logs. I am using the node js spawn command to execute the bash script


const createHLSVOD = spawn('/bin/bash', [script, file.path, file.destination, contentId, EPPO_MUSIC_HSL_URL, 'Content', speed]);
 createHLSVOD.stdout.on('data', d => console.log(`stdout info: ${d}`));
 createHLSVOD.stderr.on('data', d => console.log(`stderr error: ${d}`));
 createHLSVOD.on('error', d => console.log(`error: ${d}`));
 createHLSVOD.on('close', code => console.log(`child process ended with code ${code}`));



on cloud run beginning the process itself taking a lot of time but in my local machine transcoding and uploading is very fast. after some time transcoding logs are being stopped and no new logs appear. I have no clue what is happening




so what is happening here ? why it is very slow in the first place and why the process is being stopped in middle without any error








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Passing streams from Fluent-ffmpeg to Google Cloud Storage
31 octobre 2019, par Emilio FariaIs there a way to pass a stream from Fluent-mmpeg to Google Cloud Storage ? I’m trying to allow the user to upload any kind of media (audio or video), and I want to convert it to flac before uploading it to GCS.
I’m using a few middlewares on my route, such as :
routes.post(
'/upload',
multer.single('audio'),
ConvertController.convert,
UploadController.upload,
FileController.save,
(req, res, next) => res.send('ok')
);I was able to stream from Multer to Fluent-mmpeg and save to a file using this code on ConvertController :
async convert(req, res, next) {
ffmpeg(streamifier.createReadStream(req.file.buffer))
.format('flac')
.output('outputfile.flac')
.audioChannels(1)
.on('progress', function(progress) {
console.log(progress);
})
.run();
}But I would like to use .pipe() to pass it to UploadController, where I would then upload to GCS :
class UploadController {
async upload(req, res, next) {
const gcsHelpers = require('../helpers/google-cloud-storage');
const { storage } = gcsHelpers;
const DEFAULT_BUCKET_NAME = 'my-bucket-name';
const bucketName = DEFAULT_BUCKET_NAME;
const bucket = storage.bucket(bucketName);
const fileName = `test.flac`;
const newFile = bucket.file(fileName);
newFile.createWriteStream({
metadata: {
contentType: file.mimetype
}
})
file.on('error', err => {
throw err;
});
file.on('finish', () => console.log('finished'));
}The problem is that I cannot find anywhere explaining how I can pass down a stream to the next middleware.
Is it possible ?
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error : `FFMPEG` can not read `` in google colab
3 avril 2023, par 5opkathe error occurs when loading a video file (mp4) previously the code worked with this video.
to run https://colab.research.google.com/github/AliaksandrSiarohin/first-order-model/blob/master/demo.ipynb
you need to put
!pip install -U scikit-image==0.18.0
in the first cell.
video can download this https://youtu.be/smQvWpqX13I (144p).


InitializationError Traceback (most recent call last)
/usr/local/lib/python3.9/dist-packages/imageio/core/imopen.py 
in imopen(uri, io_mode, plugin, extension, format_hint, 
legacy_mode, **kwargs)
 141 try:
--> 142 return loader(request, **kwargs)
 143 except InitializationError as class_specific:
 
20 frames
 
InitializationError: `FFMPEG` can not read `<bytes>`.

The above exception was the direct cause of the following 
exception:

RuntimeError Traceback (most recent call last)
/usr/local/lib/python3.9/dist-packages/imageio/core/imopen.py 
in imopen(uri, io_mode, plugin, extension, format_hint, 
legacy_mode, **kwargs)
 158 
 159 request.finish()
--> 160 raise err_type(err_msg) from err_from
 161 
 162 # fast-path based on format_hint

RuntimeError: `FFMPEG` can not handle the given uri.
</bytes>