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• How to make drawtext work in AWS Lambda ffmpeg ?

  22 mars 2020, par codeul

  I have setup an AWS Lambda function to use ffmpeg using layer https://serverlessrepo.aws.amazon.com/applications/arn:aws:serverlessrepo:us-east-1:145266761615:applications~ffmpeg-lambda-layer.

  Some ffmpeg commands work, but noticed when I use drawtext or drawbox, I am not getting a proper mp4 file. The output looks corrupted and is low in size. (FYI : The output file is /tmp/test2.mp4 and then I copy it to an S3 bucket.)

  Whats wrong here ? Would appreciate any help. Thanks.

  ffmpeg command :

  ffmpeg -f lavfi -i color=0x142d3d:s=1280*720:d=10 -vf  "drawtext=fontcolor=white:fontsize=50:fontfile=aladin.ttf:text='test':y=10:x=10"  -movflags +faststart    -y /tmp/test2.mp4

  From log :

  o --cc=gcc-6 --enable-fontconfig --enable-frei0r --enable-gnutls --enable-gmp --enable-gray --enable-libaom --enable-libfribidi --enable-libass --enable-libvmaf --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-librubberband --enable-libsoxr --enable-libspeex --enable-libvorbis --enable-libopus --enable-libtheora --enable-libvidstab --enable-libvo-amrwbenc --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzvbi --enable-libzimg
  
          libavutil      56. 22.100 / 56. 22.100
  
          libavcodec     58. 35.100 / 58. 35.100
  
          libavformat    58. 20.100 / 58. 20.100
  
          libavdevice    58.  5.100 / 58.  5.100
  
          libavfilter     7. 40.101 /  7. 40.101
  
          libswscale      5.  3.100 /  5.  3.100
  
          libswresample   3.  3.100 /  3.  3.100
  
          libpostproc    55.  3.100 / 55.  3.100
  
      Input #0, lavfi, from 'color=0x142d3d:s=1280*720:d=10':
  
          Duration: N/A, start: 0.000000, bitrate: N/A
  
          Stream #0:0: Video: rawvideo (I420 / 0x30323449), yuv420p, 1280x720 [SAR 1:1 DAR 16:9], 25 tbr, 25 tbn, 25 tbc
  
      Stream mapping:
  
          Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (libx264))
  
      Press [q] to stop, [?] for help
  
      [Parsed_drawtext_0 @ 0x5852500] Using "/var/task/fonts/aladin.ttf"
  
      [libx264 @ 0x5850080] using SAR=1/1
  
      [libx264 @ 0x5850080] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX
  
      [libx264 @ 0x5850080] profile Progressive High, level 3.1, 4:2:0, 8-bit
  
      [libx264 @ 0x5850080] 264 - core 157 r2969 d4099dd - H.264/MPEG-4 AVC codec - Copyleft 2003-2019 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=3 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=23.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
  
      Output #0, mp4, to '/tmp/test2.mp4':
  
          Metadata:
  
          encoder         : Lavf58.20.100
  
          Stream #0:0: Video: h264 (libx264) (avc1 / 0x31637661), yuv420p, 1280x720 [SAR 1:1 DAR 16:9], q=-1--1, 25 fps, 12800 tbn, 25 tbc
  
          Metadata:
  
              encoder         : Lavc58.35.100 libx264
  
          Side data:
  
              cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: -1
  
      frame=    2 fps=0.0 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
      frame=    9 fps=7.5 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
      frame=   17 fps=9.8 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
      frame=   25 fps= 11 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
      frame=   30 fps=7.4 q=0.0 size=       0kB time=00:00:00.00 bitrate=N/A speed=   0x    
  
  =================

• Using ffmpeg to assemble images from S3 into a video

  10 juillet 2020, par Mass Dot Net

  I can easily assemble images from local disk into a video using ffmpeg and passing a %06d filespec. Here's what a typical (pseudocode) command would look like :

  


  ffmpeg.exe -hide_banner -y -r 60 -t 12 -i /JpgsToCombine/%06d.JPG <..etc..>


  


  However, I'm struggling to do the same with images stored in AWS S3, without using some third party software to mount a virtual drive (e.g. TNTDrive). The S3 folder containing our images is too large to download to the 20GB ephemeral storage provided for AWS containers, and we're trying to avoid EFS because we'd have to provision expensive bandwidth.

  


  Here's what the HTTP and S3 URLs to each of our JPGs looks like :

  


  # HTTP URL
https://massdotnet.s3.amazonaws.com/jpgs-to-combine/000000.JPG # frame 0
https://massdotnet.s3.amazonaws.com/jpgs-to-combine/000012.JPG # frame 12
https://massdotnet.s3.amazonaws.com/jpgs-to-combine/000123.JPG # frame 123
https://massdotnet.s3.amazonaws.com/jpgs-to-combine/456789.JPG # frame 456789

# S3 URL
s3://massdotnet/jpgs-to-combine/000000.JPG # frame 0
s3://massdotnet/jpgs-to-combine/000012.JPG # frame 12
s3://massdotnet/jpgs-to-combine/000123.JPG # frame 123
s3://massdotnet/jpgs-to-combine/456789.JPG # frame 456789


  


  Is there any way to get ffmpeg to assemble these ? We could generate a signed URL for each S3 file, and put several thousand of those URLs onto a command line with an FFMPEG concat filter. However, we'd run up into the command line input limit in Linux at some point using this approach. I'm hoping there's a better way...

  


• Error : ffmpeg exited with code 1 on AWS Lambda

  16 juin 2022, par Hassnain Alvi

  I am using fluent-ffmpeg nodejs package to run ffmpeg for audio conversion on AWS Lambda. I am using this FFmpeg layer for lambda.
Here is my code

  


    const bitrate64 = ffmpeg("file.mp3").audioBitrate('64k');
    bitrate64.outputOptions([
        '-preset slow',
    '-g 48',
    "-map", "0:0",
        '-hls_time 6',
        '-master_pl_name master.m3u8',
        '-hls_segment_filename 64k/fileSequence%d.ts'
    ])
    .output('./64k/prog_index.m3u8')
    .on('progress', function(progress) {
        console.log('Processing 64k bitrate: ' + progress.percent + '% done')
    })  
    .on('end', function(err, stdout, stderr) {
        console.log('Finished processing 64k bitrate!')
    })
    .run() 


  


  after running it via AWS lambda I get following error message

  


  ERROR   Uncaught Exception  &#xA;{&#xA;    "errorType": "Error",&#xA;    "errorMessage": "ffmpeg exited with code 1: Conversion failed!\n",&#xA;    "stack": [&#xA;        "Error: ffmpeg exited with code 1: Conversion failed!",&#xA;        "",&#xA;        "    at ChildProcess.<anonymous> (/var/task/node_modules/fluent-ffmpeg/lib/processor.js:182:22)",&#xA;        "    at ChildProcess.emit (events.js:198:13)",&#xA;        "    at ChildProcess.EventEmitter.emit (domain.js:448:20)",&#xA;        "    at Process.ChildProcess._handle.onexit (internal/child_process.js:248:12)"&#xA;    ]&#xA;}&#xA;</anonymous>

  


  I don't get any more info so I am not sure what's going on. Can anyone tell me what's wrong here and how can I enable more detailed logs ?