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• MPEG DASH (MPD) to MP4 in Node.js ?

  28 janvier 2024, par Hello World

  I am trying to convert streams to .mp4 files. I have successfully converted an HLS to MP4 using fluent-ffmpeg package on version 2.1.2. I did so with with the following code :

  


  var ffmpegCommand = ffmpeg();
            ffmpegCommand
            .input(HLS FILE HERE)
            .inputOptions('-protocol_whitelist file,http,https,tcp,tls,crypto,data')
            .on("error", (err, stdout, stderr) => {
                console.log(err)
                let error = new Error(err.message)
                error.code = err.code || 'FILE_CONVERSION_M3U8_TO_MP3/UNKNOWN_ERROR';
                error.status = err.status || 500;

                console.log('An error occurred: ' + err.message, err, stderr);
                reject(error)
            })
            .on("end", () => {
                console.log(temporaryFilePath2)
                resolve(temporaryFilePath2);
            })
            .on('progress', function(progress) {
                console.log('progress: ' + (progress.percent || 0).toFixed(2) + '%。');
                progressGathering.push((progress.percent || 0).toFixed(2))

                if(progressGathering.length == 10 && progressGathering[9] == 0.00){
                    let error = new Error("File is a live stream.")
                    error.code = 'FILE_CONVERSION_M3U8_TO_MP3/LIVESTREAM_SUPPORT'
                    error.status = 501

                    ffmpegCommand.kill()
                    reject(error)
                }
            })
            .inputOptions('-allowed_extensions ALL')
            .outputOptions("-c copy")
            .output(temporaryFilePath2)
            .run();

            setTimeout(() => {
                ffmpegCommand.kill();
                let error = new Error("The file selected was too large or the network was hanging. Conversion timeout.")
                error.code = 'FILE_CONVERSION_M3U8_TO_MP3/TIMEOUT'
                error.status = 599;
                reject(error)
            }, 300000) // 5 minutes


  


  However, when I attempt something similar with a mpd file url in the input, I get several errors that are all the same :

  


  ffmpeg exited with code 1: https://dash.akamaized.net/akamai/bbb_30fps/bbb_30fps.mpd: Invalid data found when processing input

  


  Is this something fluent-ffmpeg can't handle ? If so, I would like to know another package that can accomplish this.

  


• avformat/Makefile : Remove false dependency of WebM DASH manifest muxer

  7 avril 2020, par Andreas Rheinhardt

  avformat/Makefile : Remove false dependency of WebM DASH manifest muxer
  It does not use anything from libavformat/matroska.c.
  Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
  

  • [DH] libavformat/Makefile

• FFmpeg dnn_processing with tensorflow backend : difficulties applying a filter on an image

  9 avril 2023, par ArnoBen

  I am trying to perform a video segmentation for background blurring similar to Google Meet or Zoom using FFmpeg, and I'm not very familiar with it.

  


  Google's MediaPipe model is available as a tensorflow .pb file here (using download_hhxwww.sh).

  


  I can load it in python and it works as expected, though I do need to format the input frames : scaling to the model input dimension, adding a batch dimension, dividing the pixel values by 255 to have a range 0-1.

  


  FFmpeg has a filter that can use tensorflow models thanks to dnn_processing, but I'm wondering about these preprocessing steps. I tried to read the dnn_backend_tf.c file in ffmpeg's github repo, but C is not my forte. I'm guessing it adds a batch dimension somewhere otherwise the model wouldn't run, but I'm not sure about the rest.

  


  Here is my current command :

  


  ffmpeg \
    -i $FILE -filter_complex \
    "[0:v]scale=160:96,format=rgb24,dnn_processing=dnn_backend=tensorflow:model=$MODEL:input=input_1:output=segment[masks];[masks]extractplanes=2[mask]" \
    -map "[mask]" output.png


  


  

  • I'm already applying a scaling to match the input dimension.

  


  • I wrote this [masks]extractplanes=2[mask] because the model outputs a HxWx2 tensor (background mask and foreground mask) and I want to keep the foreground mask.

  


  


  The result I get with this command is the following (input-output) :

  


  

  


  I'm not sure how to interpret the problems in this output. In python I can easily get a nice grayscale output :

  


  

  


  I'm trying to obtain something similar with FFmpeg.

  


  Any suggestion or insights to obtain a correct output with FFmpeg would be greatly appreciated.

  


  PS : If I try to apply this on a video file, it hits a Segmentation Fault somewhere before getting any output so I stick with testing on an image for now.