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• ERROR : "Cannot Find FFMPEG" on Google Cloud Compute Engine Debian Wheezy 7.8 Managed Instance even though it's installed

  17 mai 2021, par DynamoBooster

  I wrote a Node.JS application that uses the fluent-ffmpeg module to watermark videos uploaded on the platform. I pushed the code to a my Google Cloud Compute Engine project, and every time I get Error : Cannot Find FFMPEG. I ssh'd into the instance once it was created and ran these commands to install FFMPEG before actually testing out the code. I am not sure what is causing the error because after this I am positive that FFMPEG is installed.

  



  sudo apt-get update
sudo apt-get install -y ffmpeg
export FFMPEG_PATH="/usr/bin/ffmpeg"
export FFPROBE_PATH="/usr/bin/ffprobe"


  



  Below is my FFMPEG code

  



  function generate_thumbnail(name, path){
  logging.info("Generating Thumbnail");
  ffmpeg(path)
   .setFfmpegPath('/usr/bin/ffmpeg') 
   .setFfprobePath('/usr/bin/ffprobe')
   .on('end', function() {
        upload_thumbnail(name);
        logging.info("Thumbnail Generated and uploaded");
        return;
    })
  .on('error', function(err, stdout, stderr) {
        logging.info('ERROR: ' + err.message);
        logging.info('STDERR:' + stderr);
  })
  .on('start', function(commandLine) {
       logging.info(commandLine);
  })
  .screenshots({
    count: 1,
    filename: name + '_thumbnail.png',
    folder: 'public/images/thumbnails/'
  });
}


  


• What google cloud service can be used to process files stored in Firebase Cloud Storage with FFmpeg ? [closed]

  1er mai 2021, par uponly

  I am building a ReactJs app and I am trying to figure out a way to process files (images, videos, and audio of any type) that are stored in my Firebase storage bucket using FFmpeg. Currently, I have set up the functionality for allowing the user to upload files to my storage bucket, and a corresponding URL link is stored in a document in Firestore.

  


  Ideally, I'd love to do this with Cloud Functions HTTP triggers because I have all of that setup already. It would be nice to just call an HTTP trigger to process the file after it has been uploaded. However, after a bit of research, my current understanding is to somehow deploy my app using a flexible Google App Engine environment because apparently, it is the only way to set a manual timeout in case I have to process a long, high-quality video, for example. Thus I wouldn't be able to use Cloud Functions because there is a very short timeout period which may lead to the files not being fully processed.

  


  Here is the user flow I am trying to achieve, which may help make things more clear :

  


  

  1. [Done] The user uploads a file (image, audio, or video) to Firebase cloud storage. A URL is also stored in their corresponding user document in Firestore.

  


  2. [Here and the steps onward are what I am trying to achieve] After the file has been stored, I'd like to kick off some sort of function that grabs the newly stored file and begin to process it in the cloud.

  


  3. Store the newly processed file back into the Cloud Storage bucket

  


  4. Allow the user to preview the processed file (by streaming it ideally, if possible).

  


  


  In steps 2 and onward, I am just generally confused about what Google service I should be using to process my file in the cloud with FFmpeg. As well as how I can connect it to my React app, client-side. If I have to go the Google App Engine route, how do I go about connecting app engine to my React App such that I don't have to build my app and deploy it, as my app is still in development ?

  


  This is not a coding question so I apologize if this is the wrong place to post in. I am new to all this, any and all help is greatly appreciated. Thank you.

  


• Google cloud speech to text not giving output for OGG & MP3 files

  27 avril 2021, par Vedant Jumle

  I am trying to perform speech to text on a bunch of audio files which are over 10 mins long. I don't want to waste storage on the cloud bucket by straight-up uploading wav files on it. So I am using ffmpeg to convert the files either to ogg or mp3 like :
ffmpeg -y -i audio.wav -ar 12000 -r 16000 audio.mp3

  


  ffmpeg -y -i audio.wav -ar 12000 -r 16000 audio.ogg

  


  For testing purpose I ran the speech to text service on a dummy wav file and it seemed to work, I got the text as expected. But for some reason it isn't detecting any speech when I use the ogg or mp3 file. I could not give amr files to work either.

  


  My code :

  


  def transcribe_gcs(gcs_uri):
    client = speech.SpeechClient()

    audio = speech.RecognitionAudio(uri=gcs_uri)
    config = speech.RecognitionConfig(
        encoding="OGG_OPUS", #replace with "LINEAR16" for wav, "OGG_OPUS" for ogg, "AMR" for amr
        sample_rate_hertz=16000,
        language_code="en-US",
    )
    print("starting operation")
    operation = client.long_running_recognize(config=config, audio=audio)
    response = operation.result()
    print(response)


  


  I have set up the authentication properly, so that is not a problem.

  


  When I run the speech to text service on the same audio but in ogg or mp3(I just comment out the encoding setting from the config for mp3) format, it gives no response, just prints out a line break and done.

  


  What can I do to fix this ?