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• error : `FFMPEG` can not read `` in google colab

  3 avril 2023, par 5opka

  the 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)&#xA;/usr/local/lib/python3.9/dist-packages/imageio/core/imopen.py &#xA;in imopen(uri, io_mode, plugin, extension, format_hint, &#xA;legacy_mode, **kwargs)&#xA;    141         try:&#xA;--> 142             return loader(request, **kwargs)&#xA;    143         except InitializationError as class_specific:&#xA;    &#xA;20 frames&#xA;    &#xA;InitializationError: `FFMPEG` can not read `<bytes>`.&#xA;&#xA;The above exception was the direct cause of the following &#xA;exception:&#xA;&#xA;RuntimeError           Traceback (most recent call last)&#xA;/usr/local/lib/python3.9/dist-packages/imageio/core/imopen.py &#xA;in imopen(uri, io_mode, plugin, extension, format_hint, &#xA;legacy_mode, **kwargs)&#xA;    158 &#xA;    159         request.finish()&#xA;--> 160         raise err_type(err_msg) from err_from&#xA;    161 &#xA;    162     # fast-path based on format_hint&#xA;&#xA;RuntimeError: `FFMPEG` can not handle the given uri.&#xA;</bytes>

  


• Passing streams from Fluent-ffmpeg to Google Cloud Storage

  31 octobre 2019, par Emilio Faria

  Is 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 ?

• Running Background Process using FFMPEG on Google Cloud Run stopping in middle

  7 juillet 2021, par pashaplus

  I 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

  


  node js script

  


  Transcoding script

  


  Dockerfile