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• How to create m3u8 playlist from mp4 video url ( stored in amazon S3 ) and store the video chunks ( .ts files) and .m3u8 file back to another S3 ?

  19 mai 2019, par dexter2019

  I am building an application where user can upload video and others can watch them later. I am aiming for HLS streaming of the video on the client side, for which the video format should be .m3u8. I am using node fluent-FFmpeg module to do the processing, however, I have a huge doubt, that, how to ensure that all the .ts files (chunks) are also stored back in s3 bucket along with the m3u8 file after ffmpeg processed the mp4 file ?

  Because the ffmpeg command only takes the location of the m3u8 file ? How handle it when I want the input and output location to be S3 ?

  Any help will be greatly appreciated.

  I am following the answer from this question Ffmpeg creating m3u8 from mp4, video file size , which is working absolutely fine in my local machine, how to achieve the same for s3 ?

• PHP - Upload video convert mp4 and upload to Amazon S3

  31 octobre 2019, par Kadir Geçit

  I’m using amazon s3 as video storage for my website. I’m having problems for some videos. black screen or sound problems etc.

  I want to convert the video to mp4 format after uploading the video to my server and then upload it to amazon. Is it possible with FFMPEG ?

  I’m using this code for uploading files now :

  $file1 = $_FILES['file']['name'];
  
  $videoFileType = strtolower(pathinfo($file1,PATHINFO_EXTENSION));
  
  $file_name = sprintf('%s_%s', uniqid(),uniqid().".".$videoFileType);
  
  $temp_file_location = $_FILES["file"]["tmp_name"];
  
  
  
  require 'application/libraries/Amazon/aws-autoloader.php';
  
          $s3 = new Aws\S3\S3Client([
  
              'region'  => $amazon_region,
  
              'version' => 'latest',
  
              'credentials' => [
  
              'key'    => $amazon_key,
  
              'secret' => $amazon_secret,
  
              ]
  
          ]);     
  
  
  
          $result = $s3->putObject([
  
              'Bucket' => $amazon_bucket,
  
              'Key'    => $file_name,
  
              'SourceFile' => $temp_file_location,
  
              'ACL'    => 'public-read',
  
              'CacheControl' => 'max-age=3153600',
  
          ]);
  
              $filepath = $result['ObjectURL'] . PHP_EOL;
  
  
  
              echo json_encode([
  
                  'status' => 'ok',
  
                  'path' => $filepath
  
  
  
              ]);

• SIGSEGV from ffmpeg on Amazon Lambda

  1er août 2024, par Serge

  Trying out Amazon Lambda / nodejs 8. My goal is to launch ffmpeg, generate a short clip and upload it to S3 bucket.

  



  I created the function following the image resize tutorial. Edited the code to get output from simple linux commands like ls or cat /proc/cpuinfo - all works.

  



  Now, added the ffmpeg binary for i686 - ffmpeg static build by JohnVan Sickle (thanks !). Changed the code to launch simple ffmpeg command that is supposed to create sa 2-seconds small video clip.

  



  That fails, according to logs, with the signal SIGSEGV returned to the "close" event handler of child_process.spawn()

  



  As far as I understand, this could be caused by the ffmpeg binary incompatibility with the static build. Or by some mistake in my code.

  



  Several npm modules rely on the static builds from johnvansickle.com/ffmpeg and there are no such issues filed on their github. Maybe there's some other mistake I made ?

  



  Should I compile ffmpeg myself under Amazon Linux AMI amzn-ami-hvm-2017.03.1.20170812-x86_64-gp2 which is under the hood of AWS Lambda ?

  



  ---

  



  upd. Launched EC2 t2.micro instance from the same AMI, downloaded the same ffmpeg static build, and it works just fine from the command line. Now I doubt that it is a compilation issue.

  



  Also tried copying ffmpeg executable to /tmp/ffmpeg and chmod 755 just to make sure.
Running simple ffmpeg --help command via child_process.execSync() returns "Error : Command failed : /tmp/ffmpeg —help"

  



  ---

  



  const join = require('path').join;
const tmpdir = require('os').tmpdir;
const process = require('process');
const fs = require('fs');
const spawn = require('child_process').spawn;
const exec = require('child_process').exec;

const async = require('async');
const AWS = require('aws-sdk');
const util = require('util');

process.env['PATH'] = process.env['PATH'] + ':' + process.env['LAMBDA_TASK_ROOT'];


const tempDir = process.env['TEMP'] || tmpdir();
const filename = join(tempDir, 'test.mp4');
const s3 = new AWS.S3();


exports.handler = function(event, context, callback) {
  var dstBucket = srcBucket + "resized";
  var dstKey  = "render-test.mp4";

  async.waterfall([
    function transform(next) {
      var args = [
        '-filter_complex',
        '"testsrc=r=25:s=640x480:d=3"',
        '-an',
        '-y',
        '-hide_banner',
        '-c:v', 'libx264',
        filename,
      ];

      console.log("Will launch ffmpeg");
      const childProcess = spawn('ffmpeg', args);

      childProcess.on('close', function(e) {
        console.log('ffmpeg close event: ' + JSON.stringify(arguments));
        next();
      });

      console.log("After launched ffmpeg");
    },

    function upload(next) {
      ...
    }
  ], function (err) {
    ...
  });
};