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• Firebase function error : Cannot find ffmpeg

  9 janvier 2020, par Nathan

  I’m using the firebase storage to execute a function when a video gets uploaded to the default bucket, in the function I’m using Ffmpeg to convert the video and set some other options like size, then I want to reupload the file back to storage and I keep getting this error :

  Error: Cannot find ffmpeg
  
  at /srv/node_modules/fluent-ffmpeg/lib/processor.js:136:22
  
  at FfmpegCommand.proto._getFfmpegPath (/srv/node_modules/fluent-ffmpeg/lib/capabilities.js:90:14)
  
  at FfmpegCommand.proto._spawnFfmpeg (/srv/node_modules/fluent-ffmpeg/lib/processor.js:132:10)
  
  at FfmpegCommand.proto.availableFormats.proto.getAvailableFormats (/srv/node_modules/fluent-ffmpeg/lib/capabilities.js:517:10)
  
  at /srv/node_modules/fluent-ffmpeg/lib/capabilities.js:568:14
  
  at nextTask (/srv/node_modules/async/dist/async.js:4578:27)
  
  at Object.waterfall (/srv/node_modules/async/dist/async.js:4589:9)
  
  at Object.awaitable(waterfall) [as waterfall] (/srv/node_modules/async/dist/async.js:208:32)
  
  at FfmpegCommand.proto._checkCapabilities (/srv/node_modules/fluent-ffmpeg/lib/capabilities.js:565:11)
  
  at /srv/node_modules/fluent-ffmpeg/lib/processor.js:298:14

  I have used npm install to install both fluent-ffmpeg and ffmpeg-static yet it says it cannot find it ? Here’s my code :

  const ffmpeg = require('fluent-ffmpeg');
  
  const ffmpeg_static = require('ffmpeg-static');
  
  const {Storage} = require('@google-cloud/storage');
  
  const fs = require('fs');
  
  const os = require('os');
  
  var path = require('path');
  
  
  
  // Creates a client
  
  const storage = new Storage({
  
  projectId: 'projectID',
  
  });
  
  
  
  function promisifyCommand(command) {
  
  return new Promise((resolve, reject) => {
  
    command.on('end', resolve).on('error', reject).run();
  
  });
  
  }
  
  
  
  exports.updatePost = functions.storage.object().onFinalize(async (object) => {
  
  
  
  const fileBucket = object.bucket; // The Storage bucket that contains the file.
  
  const filePath = object.name; // File path in the bucket.
  
  const contentType = object.contentType; // File content type.
  
  const resourceState = object.resourceState; // The resourceState is 'exists' or 'not_exists' (for file/folder deletions).
  
  const metageneration = object.metageneration; // Number of times metadata has been generated. New objects have a value of 1.
  
  
  
  // Get file name
  
  const fileName = path.basename(filePath);
  
  
  
  // Exit if this is a move or deletaion event.
  
  if(resourceState === 'not_exists'){
  
      console.log('This is a deletion event');
  
      return;
  
  }
  
  
  
  // Download file from bucket
  
  const bucket = storage.bucket(fileBucket);
  
  const tempFilePath = path.join(os.tmpdir(), fileName)
  
  // We add a '_output.flac' suffix to target audio file name. That's where we'll upload the converted audio.
  
  const targetTempFileName = fileName.replace(/\.[^/.]+$/, "") + '_output.mp4';
  
  const targetTempFilePath = path.join(os.tmpdir(), targetTempFileName);
  
  const targetStorageFilePath = path.join(path.dirname(filePath), targetTempFileName);
  
  
  
  await bucket.file(filePath).download({destination: tempFilePath});
  
      console.log('Video downloaded locally to', tempFilePath);
  
      // Convert the video to suitable formats
  
      const command = ffmpeg(tempFilePath)
  
      .setFfmpegPath(ffmpeg_static.path)
  
      .withSize('50%')
  
      .toFormat('mp4')
  
      .output(targetTempFilePath);
  
      await promisifyCommand(command);
  
          console.log('New video created');
  
  
  
          //Upload video again
  
          await bucket.upload(targetTempFilePath, {destination: targetStorageFilePath});
  
              console.log('Output video uploaded to', targetStorageFilePath);
  
              // Delete the local file from server as it's been uploaded to storage
  
              fs.unlinkSync(tempFilePath);
  
              fs.unlinkSync(targetTempFilePath);
  
  
  
              console.log('Tempory files removed.', targetTempFilePath);
  
  });

  I have searched everywhere and people are also saying that running the ffmpeg module on the function will also exceed the limit very quickly and where told to use ffmpeg-static instead ?
  Thanks,

  Nathan

• Cannot find a matching stream for unlabeled input pad 0 on filter Parsed_split_0

  26 mars 2023, par VenoM

  So I'm using ytdl-core & ffmpeg to convert some videos from YouTube to MP4 and then manipulate them in a way or take screenshots. But the issue I'm facing is - some videos are downloaded and are completely playable, but others are corrupt.

  


  This is the error I get when I try to take screenshot of the corrupted video :

  


  


  Error : ffmpeg exited with code 1 : Cannot find a matching stream for unlabeled input pad 0 on filter Parsed_split_0

  


  


  And obviously, error is there because the video is corrupted, but WHY is that the case ?

  


  Here's my code (read TL ;DR below) :

  


    router.post("/screenshot", async (req, res) => {
  const urlToScreenshot = req.body.url;
  const timestamp = parseInt(req.body.t, 10);
  const YouTubeURL = `https://youtube.com/watch?v=${urlToScreenshot}`;
  const filename = uuidv4();

  const videoPath = `${filePath}/${filename}.mp4`;

  const downloadStartTime = timestamp - 3;
  const downloadEndTime = timestamp + 3;

  const videoStream = ytdl(YouTubeURL, {
    quality: "highest",
  });

  const ffmpegCommand = ffmpeg(videoStream)
    .setStartTime(downloadStartTime)
    .duration(downloadEndTime - downloadStartTime)
    .outputOptions("-c:v", "libx264")
    .outputOptions("-c:a", "copy")
    .outputOptions("-b:v", "10M")
    .outputOptions("-filter:v", "scale=1920:1080")
    .outputOptions("-q:v", "1")
    .outputOptions("-reconnect", "1") // enable reconnection attempts
    .outputOptions("-ignore_io_errors", "1") // ignore input/output errors
    .on("end", async () => {
      console.log("Video downloaded successfully: " + videoPath);

      const screenshotPath = `${filePath}/${filename}.png`;
      ffmpeg(videoPath)
        .screenshots({
          count: 1,
          timemarks: ["1"],
          folder: filePath,
          filename: `${filename}.png`,
        })
        .on("end", async () => {
          console.log(`Screenshot saved successfully: ${screenshotPath}`);
          try {
            const cloudinaryResult = await cloudinary.uploader.upload(
              screenshotPath
            );
            const screenshotUrl = cloudinaryResult.secure_url;
            console.log(`Screenshot uploaded to Cloudinary: ${screenshotUrl}`);
            // await unlink(videoPath);
            console.log(`Video file deleted: ${videoPath}`);
            // await unlink(screenshotPath);
            console.log(`Screenshot file deleted: ${screenshotPath}`);
            res.status(200).json({ screenshotUrl });
          } catch (err) {
            console.error(
              "An error occurred while uploading the screenshot to Cloudinary:",
              err
            );
            // await unlink(videoPath);
            // await unlink(screenshotPath);
            res.status(500).send("Internal Server Error");
          }
        })
        .on("error", async (err) => {
          console.error("An error occurred while taking the screenshot:", err);
          // await unlink(videoPath);
          // await unlink(screenshotPath);
          res.status(500).send("Internal Server Error");
        });
    })
    .on("error", async (err) => {
      console.error("An error occurred while downloading the video:", err);
      await unlink(videoPath); // delete the file on error
      res.status(500).send("Internal Server Error");
    })
    .save(videoPath);

  // console.log(ffmpegCommand);
});


  


  Code Summary : Basically I'm passing the videoID and timestamp (because I want to download a certain section of the video, not the whole video), it downloads the video, then takes a screenshot of the video at a certain timestamp (i.e 1st second) and sends the screenshot to Cloudinary (a cloud file storage).

  


  This works fine for 50% of the videos I've tried, but doesn't for other videos.

  


  Here's a picture of a corrupt video and a working video.

  


  

  


  

  


  

  


  Some help would be greatly appreciated !

  


• ffmpeg audio - video sync issue (audio ahead of video) - while screen recording using x11grab

  12 juillet 2023, par maheshg

  While screen-recording using the below ffmpeg options I consistently get audio ahead of video, delay is in the order of few seconds

  


  ffmpeg cmd :

  


  ffmpeg -y -f x11grab -thread_queue_size 1024 -draw_mouse 0 -video_size 1920x1080 -i :0 -f pulse -thread_queue_size 1024 -i default -c:v libx264 -threads 0 -preset faster -c:a flac -async 1 -vsync 1 -crf 30 -crf_max 33 -f matroska output.mkv

  


  ffprobe output below :

  


  $ ffprobe demo.mkv 
ffprobe version 3.4.4-1~16.04.york0 Copyright (c) 2007-2018 the FFmpeg developers
  built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.10) 20160609
  configuration: --prefix=/usr --extra-version='1~16.04.york0' --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --enable-gpl --disable-stripping --enable-avresample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librubberband --enable-librsvg --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-omx --enable-openal --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libopencv --enable-libx264 --enable-shared
  libavutil      55. 78.100 / 55. 78.100
  libavcodec     57.107.100 / 57.107.100
  libavformat    57. 83.100 / 57. 83.100
  libavdevice    57. 10.100 / 57. 10.100
  libavfilter     6.107.100 /  6.107.100
  libavresample   3.  7.  0 /  3.  7.  0
  libswscale      4.  8.100 /  4.  8.100
  libswresample   2.  9.100 /  2.  9.100
  libpostproc    54.  7.100 / 54.  7.100
Input #0, matroska,webm, from 'demo.mkv':
  Metadata:
    ENCODER         : Lavf57.71.100
  Duration: 01:00:31.93, start: 0.000000, bitrate: 416 kb/s
    Stream #0:0: Video: h264 (High), yuv420p(progressive), 1920x1080, 29.97 fps, 29.97 tbr, 1k tbn, 59.94 tbc (default)
    Metadata:
      ENCODER         : Lavc57.89.100 libx264
      DURATION        : 01:00:31.928000000
    Stream #0:1: Audio: flac, 48000 Hz, stereo, s16 (default)
    Metadata:
      ENCODER         : Lavc57.89.100 flac
      DURATION        : 01:00:30.912000000


  


  I have even tried using avoid_negative_ts flag, but it didnt help with the sync issue.

  


  


  OS : Ubuntu-18.04

  


  ffmpeg version : 3.4

  


  


  Update : (with ffmpeg-4.0)
I have since split this process into 2 parts and tried as shown below (quality is better, but audio/video sync is still an issue)

  


  # STEP-1: screen recording
/usr/bin/ffmpeg -y -f x11grab -thread_queue_size 1024 -draw_mouse 0 \
-video_size 1920x1080 -i :91141925 -f pulse -thread_queue_size 1024 \
-i virtual_sink.monitor -c:v libx264rgb -threads 0 -preset ultrafast \
-c:a flac -ac 1 -crf 0 -f matroska output.mkv

# STEP-2: audio/video encoding
/usr/bin/ffmpeg -y -i output.mkv -c:v libx264 -threads 0 \
-preset faster -pix_fmt yuv420p -c:a copy -ac 1 -crf 25 \
-f matroska final_output.mkv


  


  STEP-1 uses much less CPU during screen recording, but audio is still ahead of video. the display I am using is xvfb one in STEP-1 (since, this is a headless machine in the cloud)

  


  Also, i have tried flags -filter_complex aresample=44100 -vsync 1 in STEP-1 to no avail.

  


  Can someone please help !

  


  


  Update 2 : (with latest ffmpeg from git master)

  


  IT WORKED ! THANKS @llogan for the helpful comments.