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    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

  • Keeping control of your media in your hands

    13 avril 2011, par

    The vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
    While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
    MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
    MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...)

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    26 octobre 2010, par

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Sur d’autres sites (6397)

  • How do I redirect the output of SpeechSynthesizer to a Process of ffmpeg

    27 septembre 2020, par TheOneAndOnlyMrX

    I 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.

    


  • what is AV_SAMPLE_FMT_FLT

    21 décembre 2020, par Golu
    SwrContext *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.

    


  • Firebase Function using ffmpeg successful with emulator, out of memory when deployed

    25 septembre 2024, par flyingL123

    I need some help. I have a .mov file in Firebase Storage. The file is 25 seconds long and 106 MB. I wrote a callable Firebase function that uses ffmpeg 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 about 6 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.