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• Merging input Streams with nodejs/ffmpeg

  14 septembre 2020, par jAndy

  I'm creating a very basic and rudimentary Video-Web-Chat. On the client side, I'm going to use a simple getUserMedia API call to capture the webcam data and send video-data as data-blob to my server.

  


  From There, I'm planning to either use the fluent-ffmpeg library or just spawn ffmpeg myself and pipe that raw data to ffmpeg, which in turn, does some magic and pushes that out as HLS stream to an Amazon AWS Service (for instance), which then gets actually displayed on a Web Browser for all participating people in the video chat.

  


  So far, I think all of this should be fairly easy to implement, but I keep my head spinning around the question, how I can create a "combined" or "merged" frame and stream, so the output HLS data from my server to the distributing cloud service has only to be one combined data stream to receive.

  


  If there are 3 people in that video chat, my server receives 3 data streams from those clients and combines these data streams (from the individual web-cam data sources) into one output stream.

  


  How could that be accomplished ?
Can I "create" a new frame with ffmpeg, so to speak ? I would be very thankful if anybody could give me a heads up here, maybe I'm thinking in a complete wrong direction.

  


  Another question which arises to me is, if I really can just "dump" any data, which I'm receiving from a binary blob created from getUserMedia or MultiStreamRecorder to ffmpeg or if I have to specify somewhere and somehow the exact codecs being used etc.?

  


• swscale/aarch64 : add vscale specializations

  13 août 2022, par Swinney, Jonathan

  swscale/aarch64 : add vscale specializations
  This commit adds new code paths for vscale when filterSize is 2, 4, or
  
  8. By using specialized code with unrolling to match the filterSize we
  
  can improve performance.
  On AWS c7g (Graviton 3, Neoverse V1) instances :
  
                                   before   after
  
  yuv2yuvX_2_0_512_accurate_neon :  558.8    268.9
  
  yuv2yuvX_4_0_512_accurate_neon :  637.5    434.9
  
  yuv2yuvX_8_0_512_accurate_neon :  1144.8   806.2
  
  yuv2yuvX_16_0_512_accurate_neon : 2080.5   1853.7
  Signed-off-by : Jonathan Swinney <jswinney@amazon.com>
  
  Signed-off-by : Martin Storsjö <martin@martin.st>
  

  • [DH] libswscale/aarch64/output.S
  • [DH] libswscale/aarch64/swscale.c

• Error : ffmpeg exited with code 1 on AWS Lambda

  16 juin 2022, par Hassnain Alvi

  I am using fluent-ffmpeg nodejs package to run ffmpeg for audio conversion on AWS Lambda. I am using this FFmpeg layer for lambda.
Here is my code

  


    const bitrate64 = ffmpeg("file.mp3").audioBitrate('64k');
    bitrate64.outputOptions([
        '-preset slow',
    '-g 48',
    "-map", "0:0",
        '-hls_time 6',
        '-master_pl_name master.m3u8',
        '-hls_segment_filename 64k/fileSequence%d.ts'
    ])
    .output('./64k/prog_index.m3u8')
    .on('progress', function(progress) {
        console.log('Processing 64k bitrate: ' + progress.percent + '% done')
    })  
    .on('end', function(err, stdout, stderr) {
        console.log('Finished processing 64k bitrate!')
    })
    .run() 


  


  after running it via AWS lambda I get following error message

  


  ERROR   Uncaught Exception  &#xA;{&#xA;    "errorType": "Error",&#xA;    "errorMessage": "ffmpeg exited with code 1: Conversion failed!\n",&#xA;    "stack": [&#xA;        "Error: ffmpeg exited with code 1: Conversion failed!",&#xA;        "",&#xA;        "    at ChildProcess.<anonymous> (/var/task/node_modules/fluent-ffmpeg/lib/processor.js:182:22)",&#xA;        "    at ChildProcess.emit (events.js:198:13)",&#xA;        "    at ChildProcess.EventEmitter.emit (domain.js:448:20)",&#xA;        "    at Process.ChildProcess._handle.onexit (internal/child_process.js:248:12)"&#xA;    ]&#xA;}&#xA;</anonymous>

  


  I don't get any more info so I am not sure what's going on. Can anyone tell me what's wrong here and how can I enable more detailed logs ?