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• Amazon S3 : how to combine all images into a video ?

  17 mars 2015, par scientiffic

  I’m in my Rails app, I enable users to upload images, which get processed using ffmpeg to create a video slideshow.

  I have this working locally, but am wondering how to do this when deploying the app using Heroku. In particular, I know Heroku has limited storage and has a read-only filesystem, so using Carrierwave without S3 or an external storage option doesn’t seem like an option.

  But how would I run a task like the following using S3, where I combine all images into a video ?

  The ffmpeg command is

  ffmpeg -r 5 -i https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg output.mp4 -y

  And the AWS "folder" contains the following :
  https://s3.amazonaws.com/[]/uploads/image/image_file/26/img001.jpg
  https://s3.amazonaws.com/[]/uploads/image/image_file/26/img002.jpg
  https://s3.amazonaws.com/[]/uploads/image/image_file/26/img003.jpg

  When I try to do the following, I get an error with ffmpeg not knowing what to do with :

  https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg

  Note, this whole video compilation process works fine for me locally, so I know in theory it should work.

• Amazon S3 : how to combine all images into a video ?

  9 septembre 2021, par scientiffic

  I'm in my Rails app, I enable users to upload images, which get processed using ffmpeg to create a video slideshow.

  



  I have this working locally, but am wondering how to do this when deploying the app using Heroku. In particular, I know Heroku has limited storage and has a read-only filesystem, so using Carrierwave without S3 or an external storage option doesn't seem like an option.

  



  But how would I run a task like the following using S3, where I combine all images into a video ?

  



  The ffmpeg command is

  



  ffmpeg -r 5 -i https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg output.mp4 -y


  



  And the AWS "folder" contains the following :
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img001.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img002.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img003.jpg

  



  When I try to do the following, I get an error with ffmpeg not knowing what to do with :

  



  https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg


  



  Note, this whole video compilation process works fine for me locally, so I know in theory it should work.

  


• Can't upload huge video to google storage. I using "@ffmpeg-installer/ffmpeg" and @google-cloud/storage

  20 juillet 2022, par Dmytro Petskovych

  I upload file to google storage using "@ffmpeg-installer/ffmpeg" and @google-cloud/storage in my node.js App.
Step 1. file uploading to fs is in child processes - one process for each type of resolution (totaly six).
step 2. encription (converting to stream)
step 3. upload to google storage

  


  I use "Upload a directory to a bucket" in order to send the video from the client to the Google Cloud Storage bucket.

  


  This way is working fine only with small file.

  


  when I upload video, actually I upload six videos, one for each type resolution

  


  for example when I upload video with duration one hour it split on chunk and totally I get more three thousands files.

  


  So actually i upload folder with large amount of files, but not all of this files are uploaded to cloud.

  


  maybe someone had the similar problem and helps fix it.

  


  


  


  const uploadFolder = async (bucketName, directoryPath, socketInstance) => {
    try {
      let dirCtr = 1;
      let itemCtr = 0;
      const fileList = [];

      const onComplete = async () => {
        const folderName = nanoid(46);

        await Promise.all(
          fileList.map(filePath => {
            const fileName = path.relative(directoryPath, filePath);
            const destination = `${ folderName }/${ fileName }`;

            return storage
              .bucket(bucketName)
              .upload(filePath, { destination })
              .then(
                uploadResp => ({ fileName: destination, status: uploadResp[0] }),
                err => ({ fileName: destination, response: err })
              );
          })
        );

        if (socketInstance) socketInstance.emit('uploadProgress', {
          message: `Added files to Google bucket`,
          last: false,
          part: false
        });

        return folderName;
      };

      const getFiles = async directory => {
        const items = await fs.readdir(directory);
        dirCtr--;
        itemCtr += items.length;
        for(const item of items) {
          const fullPath = path.join(directory, item);
          const stat = await fs.stat(fullPath);
          itemCtr--;
          if (stat.isFile()) {
            fileList.push(fullPath);
          } else if (stat.isDirectory()) {
            dirCtr++;
            await getFiles(fullPath);
          }
        }
      }

      await getFiles(directoryPath);

      return onComplete();
    } catch (e) {
      log.error(e.message);
      throw new Error('Can\'t store folder.');
    }
  };