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• Evolution #3964 : mise en forme minimum des formulaires

  26 mars 2018, par nico d_

  Et encore un dans theme.css :

  @media print 
      /*  Ne pas imprimer */
  
      .spip-admin,
  
      .spip-admin-float,
  
      .spip-previsu  display : none ; 
  
      .repondre,
  
      .formulaire_spip  display : none ; 
  
  ...
  

  Pas de pitié pour les formulaires :p

  Je serais plutôt d’avis de ne garder que ça dans spip.css :
  

  @media print 
      .forum-titre, .formulaire_forum  display : none ; 
  
  

• Upload FFmpeg output directly to Amazon S3

  26 octobre 2017, par user1790300

  I am using the fluent-ffmpeg library with node.js to transcode videos originally in a flash movie format to the mp3 format with multiple resolutions, 1080p, etc.. Once the transcoding is complete, I would like to move the transcoded video to an s3 bucket.

  I pull the original .flv file from a source s3 bucket and pass the stream to the ffmpeg constructor function. The issue is after the transcoding completes, how do I then get the stream of the mp4 data to send to s3.

  Here is the code I have so far :

          var params = {
  
              Bucket: process.env.SOURCE_BUCKET,
  
              Key: fileName
  
          };
  
          s3.getObject(params, function(err, data) {
  
              if (err) console.log(err, err.stack); // an error occurred
  
  
  
              var format = ffmpeg(data)
  
              .size('854x480')
  
              .videoCodec('libx264')
  
              .format('flv')
  
              .toFormat('mp4');
  
              .on('end', function () {
  
                  //Ideally, I would like to do the uploading here
  
  
  
                  var params = {
  
                     Body: //{This is my confusion, how do I get the stream to add here?},
  
                     Bucket: process.env.TRANSCODED_BUCKET,
  
                     Key: fileName
  
                  };
  
                  s3.putObject(params, function (err, data) {
  
  
  
                 });
  
              })
  
              .on('error', function (err) {
  
                  console.log('an error happened: ' + err.message);
  
              });
  
  
  
          });

  For the code above, where can I get the transcoded stream to add to the "Body" property of the params object ?

  Update :

  Here is a revision of what I am trying to do :

  var outputStream: MemoryStream = new MemoryStream();
  
  
  
          var proc = ffmpeg(currentStream)
  
              .size('1920x1080')
  
              .videoCodec('libx264')
  
              .format('avi')
  
              .toFormat('mp4')
  
              .output(outputStream)
  
              // setup event handlers
  
              .on('end', function () {
  
                  uploadFile(outputStream, "").then(function(){
  
                      resolve();
  
                  })
  
              })
  
              .on('error', function (err) {
  
                  console.log('an error happened: ' + err.message);
  
              });

  I would like to avoid copying the file to the local filesystem from s3, rather I would prefer to process the file in memory and upload back to s3 when finished. Would fluent-ffmpeg allow this scenario ?

• AWS Lambda - FFmpeg to extract frames doesn't write anything

  7 avril 2024, par Stormsson

  I have a lambda with a ffmpeg layer on it.

  


  The command i want to use is basically

  


  ffmpeg -i video.mp4 -qscale:v 2 -vf fps=8 '%04d.jpg'


  


  so it has an input file, and creates 8 frames per second in the same folder

  


  This code seems to do everything except writing the files, what am I missing ?

  


  import ...
SIGNED_URL_TIMEOUT = 60
FPS_SAMPLES = 8

def lambda_handler(event, context):
    # Set up logging.
    logger = logging.getLogger(__name__)

    s3_client = boto3.client('s3')

    s3_source_bucket = event['Records'][0]['s3']['bucket']['name']
    s3_source_key = event['Records'][0]['s3']['object']['key']

    s3_source_basename = os.path.splitext(os.path.basename(s3_source_key))[0]

    logger.info( "bucket: %s, key: %s, basename: %s",s3_source_bucket, s3_source_key, s3_source_basename)

    s3_source_signed_url = s3_client.generate_presigned_url('get_object',
    Params={'Bucket': s3_source_bucket, 'Key': s3_source_key},
    ExpiresIn=SIGNED_URL_TIMEOUT)

    with tempfile.TemporaryDirectory() as tmpdir:
        os.chdir(tmpdir) # change the current folder to that one (current one is in     os.getcwd())
        cwd = os.getcwd()
        ffmpeg_cmd = "/opt/bin/ffmpeg -i \"" + s3_source_signed_url + "\" -qscale:v 2 -vf fps="+str(FPS_SAMPLES)+" "+ cwd + "/'%04d.jpg'"
    print("COMMAND: "+ffmpeg_cmd)
    
        command1 = shlex.split(ffmpeg_cmd)
        p1 = subprocess.run(command1, stdout=subprocess.PIPE, stderr=subprocess.PIPE)

        # List all files and directories in the current directory
        contents = os.listdir(cwd)
    
        # Print the contents
        print(f"Contents of {cwd}:")
        for item in contents:
            print(item) # <--- NOthing here...

   
return {
    'statusCode': 200,
    'body': json.dumps("bucket: %s, key: %s, basename: %s" % (s3_source_bucket, s3_source_key, s3_source_basename))
}