
Recherche avancée
Médias (91)
-
Spoon - Revenge !
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
-
My Morning Jacket - One Big Holiday
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
-
Zap Mama - Wadidyusay ?
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
-
David Byrne - My Fair Lady
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
-
Beastie Boys - Now Get Busy
15 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Audio
-
Granite de l’Aber Ildut
9 septembre 2011, par
Mis à jour : Septembre 2011
Langue : français
Type : Texte
Autres articles (58)
-
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 -
Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs -
Installation en mode ferme
4 février 2011, parLe mode ferme permet d’héberger plusieurs sites de type MediaSPIP en n’installant qu’une seule fois son noyau fonctionnel.
C’est la méthode que nous utilisons sur cette même plateforme.
L’utilisation en mode ferme nécessite de connaïtre un peu le mécanisme de SPIP contrairement à la version standalone qui ne nécessite pas réellement de connaissances spécifique puisque l’espace privé habituel de SPIP n’est plus utilisé.
Dans un premier temps, vous devez avoir installé les mêmes fichiers que l’installation (...)
Sur d’autres sites (11253)
-
Firebase Function using ffmpeg successful with emulator, out of memory when deployed
25 septembre 2024, par flyingL123I need some help. I have a
.mov
file in Firebase Storage. The file is 25 seconds long and106 MB
. I wrote a callable Firebase function that usesffmpeg
to convert the file to a.mp4
file and save it to Firebase Storage. When I test the function using the Functions emulator, it works without issue. The function returns successfully and I see the converted file appear in storage. The converted video is about6 MB
and plays correctly when dowloaded.

When I deploy this function and run it in production on the exact same video file, the function fails with :




'Memory limit of 256 MiB exceeded with 407 MiB used. Consider
increasing the memory limit, see
https://cloud.google.com/functions/docs/configuring/memory'




As a test, I edited the function and changed its allocated memory to
1 GiB
. Then I test the function again in production. Now I receive the same error :



'Memory limit of 1024 MiB exceeded with 1029 MiB used. Consider
increasing the memory limit, see
https://cloud.google.com/functions/docs/configuring/memory'




This is my function code :


const {initializeApp} = require("firebase-admin/app");
const {onCall} = require("firebase-functions/v2/https");
const { getStorage, getDownloadURL } = require('firebase-admin/storage');

initializeApp();

exports.convertVideo = onCall((request) => {
 const ffmpegPath = require('@ffmpeg-installer/ffmpeg').path;
 const ffmpeg = require('fluent-ffmpeg');
 ffmpeg.setFfmpegPath(ffmpegPath);
 const originalLocation = request.data.originalLocation;
 const convertedLocation = request.data.convertedLocation;
 const originalVideoFile = getStorage().bucket().file(originalLocation);
 const newVideoFile = getStorage().bucket().file(convertedLocation);

 return new Promise(async (resolve, reject) => {
 await originalVideoFile.download({destination: '/tmp/original'}).catch(console.error);
 
 ffmpeg('/tmp/original')
 .addOutputOptions('-movflags +frag_keyframe+separate_moof+omit_tfhd_offset+empty_moov')
 .format('mp4')
 .on('error', (err) => {
 console.log(err);
 })
 .pipe(newVideoFile.createWriteStream())
 .on('error', (err) => {
 console.log(err);
 })
 .on('close', async () => {
 fs.unlink('/tmp/original', (err) => {
 if (err) throw err;
 });
 const convertedUrl = await getDownloadURL(newVideoFile);
 resolve([convertedLocation, convertedUrl]);
 });
 });
});



I am sending a test request to the Function emulator using curl :


curl -d '{"data": {"originalLocation": "customer_videos/original_video.mov", "convertedLocation": "customer_videos/converted/original_video.mp4"}}' -H "Content-Type: application/json" http://127.0.0.1:5001/foo/bar/convertVideo



This works correctly. I send the same request to the deployed function, and receive the out of memory error.


curl -d '{"data": {"originalLocation": "customer_videos/original_video.mov", "convertedLocation": "customer_videos/converted/original_video.mp4"}}' -H "Content-Type: application/json" https://convertvideo-foobarbaz-uc.a.run.ap



Can somebody please help me understand why this is happening ? I didn't think I was doing anything too memory intensive, especially since it works correctly using the emulator.


-
what is AV_SAMPLE_FMT_FLT
21 décembre 2020, par GoluSwrContext *swr_ctx = swr_alloc_set_opts(NULL, 
 AV_CH_LAYOUT_STEREO,
 AV_SAMPLE_FMT_FLT,
 sample_rate,
 pCodecParameters->channel_layout, 
 
 pCodecParameters->format,
 pCodecParameters->sample_rate, 
 0,
 NULL);



what exactly AV_SAMPLE_FMT_FLT is ? i already read docs but i want to know that what is float layout means in the context of Audio. How actually binary data of audio will look in that format.


-
How do I redirect the output of SpeechSynthesizer to a Process of ffmpeg
27 septembre 2020, par TheOneAndOnlyMrXI am trying to have a SpeechSynthesizer generate some audio data, pipe it into a Process of FFmpeg, and have FFmpeg save the data to a file (output.wav). Eventually, the audio data will be used for something else, which is why I am using FFmpeg.


using (MemoryStream voiceStream = new MemoryStream())
 using (Process ffmpeg = new Process())
 {
 SpeechSynthesizer synth = new SpeechSynthesizer();

 int samplesPerSecond = 48000;
 int bitsPerSample = 8;
 int channelCount = 2;
 int averageBytesPerSecond = samplesPerSecond * (bitsPerSample / 8) * channelCount;
 int blockalign = (bitsPerSample / 8) * channelCount;
 byte[] formatSpecificData = new byte[0];

 synth.SetOutputToAudioStream(
 voiceStream,
 new System.Speech.AudioFormat.SpeechAudioFormatInfo(
 System.Speech.AudioFormat.EncodingFormat.Pcm,
 samplesPerSecond,
 bitsPerSample,
 channelCount,
 averageBytesPerSecond,
 blockalign,
 formatSpecificData
 )
 );

 synth.Speak("Hello there");

 synth.SetOutputToNull();

 ffmpeg.StartInfo = new ProcessStartInfo
 {
 FileName = "ffmpeg",
 Arguments = $"-y -f u8 -ac 2 -ar 48000 -i pipe:0 out.wav",
 UseShellExecute = false,
 RedirectStandardOutput = true,
 RedirectStandardInput = true
 };

 ffmpeg.Start();

 using (Stream ffmpegIn = ffmpeg.StandardInput.BaseStream)
 {
 voiceStream.CopyTo(ffmpegIn);
 
 ffmpegIn.FlushAsync();
 }
 }



When running the program, FFmpeg said that the input stream contains no data, and returns an empty file.
I believe that I do not interface properly with the Process object, however, the problem might also be my incorrect specification of the audio stream, since I do not know much about audio.