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• How can I bundle a precompiled binary with electron

  13 avril 2017, par UltrasoundJelly

  I am trying to include a precompiled binary with an electron app. I began with electron quick start app and modified my renderer.js file to include this code that is triggered when a file is dropped on the body :

  spawn = require( 'child_process' ).spawn,
  
          ffmpeg = spawn( 'node_modules/.bin/ffmpeg', ['-i',clips[0],'-an','-q:v','1','-vcodec','libx264','-y','-pix_fmt','yuv420p','-vf','setsar=1,scale=trunc(iw/2)*2:trunc(ih/2)*2,crop=in_w:in_h-50:0:50', '/tmp/out21321.mp4']);
  
  
  
     ffmpeg.stdout.on( 'data', data => {
  
           console.log( `stdout: ${data}` );
  
          });
  
     ffmpeg.stderr.on( 'data', data => {
  
      console.log( `stderr: ${data}` );
  
          });

  I have placed my precompiled ffmpeg binary in node_modules/.bin/. Everything works great in the dev panel, but when I use electron-packager to set up the app, it throws a spawn error ENOENT to the console when triggered. I did find a very similar question on SO, but the question doesn’t seem to be definitively answered. The npm page on electron-packager does show that they can be bundled, but I cannot find any documentation on how to do so.

• Ytdl-Core / FFMPEG in NodeJs : Cannot find a matching stream for unlabeled input pad 0 on filter Parsed_split_0

  25 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 !

  


• avcodec/jpeglsenc : Move check out of loop

  3 septembre 2020, par Andreas Rheinhardt

  avcodec/jpeglsenc : Move check out of loop
  ls_encode_line() encodes a line of input, going from left to right. In
  
  order to calculate a predicted value it uses the left and upper-left
  
  value of the output picture (that is, it uses how a decoder would see
  
  the already encoded part of the picture), unless this is the very first
  
  pixel of this line in which case one uses the first pixel of the last
  
  (upper) line and the line before the last line. Therefore the loop
  
  contained a check for whether this is the beginning of a new line. This
  
  commit moves said check out of the loop by initializing these values
  
  before the loop and by updating these values at the end of the loop
  
  body ; already read/calculated values are reused for this (the prediction
  
  also needs the value of the upper pixel and this can be reused for the
  
  upper left value of the next iteration of the loop).
  Reviewed-by : Paul B Mahol <onemda@gmail.com>
  
  Signed-off-by : Andreas Rheinhardt <andreas.rheinhardt@gmail.com>
  

  • [DH] libavcodec/jpeglsenc.c