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• FFmpeg filter complex add audio file to video at specific points

  4 juin 2020, par steve

  atrim=0:2 starts fine when I play the video it plays the mp3 now how do I add a working end time say finish at 9 seconds ?
  

  



  Summary I want to start at 2 seconds and finish at 9 seconds.
  

  



  ffmpeg -y -i "C:\Users\test\Desktop\vidz\New folder (2)\target\vaastav song .mp4" -i "C:\Users\test\Desktop\vidz\New folder (2)\target\2.mp3" -filter_complex "[0]atrim=0:2[Apre];[0]atrim=5,asetpts=PTS-STARTPTS[Apost];[Apre][1][Apost]concat=n=3:v=0:a=1" -vcodec copy -y "C:\Users\test\Desktop\vidz\New folder (2)\target\output1.mp4"


  



  log file

  



  ffmpeg version git-2020-04-13-59e3a9a Copyright (c) 2000-2020 the FFmpeg developers
  built with gcc 9.3.1 (GCC) 20200328
  configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libdav1d --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libsrt --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libaom --disable-w32threads --enable-libmfx --enable-ffnvcodec --enable-cuda-llvm --enable-cuvid --enable-d3d11va --enable-nvenc --enable-nvdec --enable-dxva2 --enable-avisynth --enable-libopenmpt --enable-amf
  libavutil      56. 42.102 / 56. 42.102
  libavcodec     58. 78.102 / 58. 78.102
  libavformat    58. 42.100 / 58. 42.100
  libavdevice    58.  9.103 / 58.  9.103
  libavfilter     7. 77.101 /  7. 77.101
  libswscale      5.  6.101 /  5.  6.101
  libswresample   3.  6.100 /  3.  6.100
  libpostproc    55.  6.100 / 55.  6.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'C:\Users\test\Desktop\vidz\New folder (2)\target\vaastav song .mp4':
  Metadata:
    major_brand     : mp42
    minor_version   : 0
    compatible_brands: isommp42
    creation_time   : 2018-09-02T04:28:46.000000Z
  Duration: 00:05:08.80, start: 0.000000, bitrate: 2289 kb/s
    Stream #0:0(und): Video: h264 (Main) (avc1 / 0x31637661), yuv420p(tv, bt709), 1280x720 [SAR 1:1 DAR 16:9], 2160 kb/s, 25 fps, 25 tbr, 90k tbn, 50 tbc (default)
    Metadata:
      creation_time   : 2018-09-02T04:28:46.000000Z
      handler_name    : ISO Media file produced by Google Inc. Created on: 09/01/2018.
    Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 125 kb/s (default)
    Metadata:
      creation_time   : 2018-09-02T04:28:46.000000Z
      handler_name    : ISO Media file produced by Google Inc. Created on: 09/01/2018.
Input #1, mp3, from 'C:\Users\test\Desktop\vidz\New folder (2)\target\2.mp3':
  Metadata:
    genre           : Electronic;Indie
    title           : A Distorted Noise With A Little Bit Of Sense
    artist          : Lenin Was A Zombie
    encoder         : Lavf56.19.100
    major_brand     : mp42
    minor_version   : 0
    compatible_brands: isommp42
  Duration: 00:00:54.00, start: 0.025057, bitrate: 192 kb/s
    Stream #1:0: Audio: mp3, 44100 Hz, stereo, fltp, 192 kb/s
    Metadata:
      encoder         : Lavc56.21
Stream mapping:
  Stream #0:1 (aac) -> atrim
  Stream #0:1 (aac) -> atrim
  Stream #1:0 (mp3float) -> concat:in1:a0
  concat -> Stream #0:0 (aac)
  Stream #0:0 -> #0:1 (copy)
Press [q] to stop, [?] for help
Output #0, mp4, to 'C:\Users\test\Desktop\vidz\New folder (2)\target\output1.mp4':
  Metadata:
    major_brand     : mp42
    minor_version   : 0
    compatible_brands: isommp42
    encoder         : Lavf58.42.100
    Stream #0:0: Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default)
    Metadata:
      encoder         : Lavc58.78.102 aac
    Stream #0:1(und): Video: h264 (Main) (avc1 / 0x31637661), yuv420p(tv, bt709), 1280x720 [SAR 1:1 DAR 16:9], q=2-31, 2160 kb/s, 25 fps, 25 tbr, 90k tbn, 90k tbc (default)
    Metadata:
      creation_time   : 2018-09-02T04:28:46.000000Z
      handler_name    : ISO Media file produced by Google Inc. Created on: 09/01/2018.
frame=  737 fps=0.0 q=-1.0 size=    7936kB time=00:00:29.44 bitrate=2208.1kbits/s speed=58.9x    
[out_0_0 @ 000000000312c900] 100 buffers queued in out_0_0, something may be wrong.
[out_0_0 @ 000000000312c900] 1000 buffers queued in out_0_0, something may be wrong.
frame= 1401 fps=876 q=-1.0 size=   16640kB time=00:01:46.85 bitrate=1275.7kbits/s speed=66.8x    
frame= 2281 fps=1086 q=-1.0 size=   26112kB time=00:02:22.01 bitrate=1506.3kbits/s speed=67.6x    
frame= 3152 fps=1212 q=-1.0 size=   35584kB time=00:02:56.58 bitrate=1650.8kbits/s speed=67.9x    
frame= 4011 fps=1294 q=-1.0 size=   45824kB time=00:03:31.32 bitrate=1776.4kbits/s speed=68.2x    
frame= 4882 fps=1356 q=-1.0 size=   56320kB time=00:04:06.03 bitrate=1875.2kbits/s speed=68.3x    
frame= 5753 fps=1403 q=-1.0 size=   66560kB time=00:04:40.79 bitrate=1941.8kbits/s speed=68.5x    
frame= 6622 fps=1440 q=-1.0 size=   77056kB time=00:05:15.37 bitrate=2001.6kbits/s speed=68.6x    
frame= 7482 fps=1467 q=-1.0 size=   85248kB time=00:05:50.20 bitrate=1994.1kbits/s speed=68.7x    
frame= 7720 fps=1479 q=-1.0 Lsize=   87248kB time=00:05:59.79 bitrate=1986.5kbits/s speed=68.9x    
video:81451kB audio:5634kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.186449%
[aac @ 0000000003017ac0] Qavg: 648.065


  



  I tried messing about with the line of code but no success so I turn to you for additional support

  


• AWS Lambda and Fluent FFMPEG error "cannot read property "isStream" of undefined"

  29 mai 2021, par Travis Lee

  so here's the goal : convert a .webm file hosted in an S3 into a gif and upload that to a new bucket. This all works fine when run locally, but when trying to translate it into a lambda, fluent-ffmpeg throws errors when it runs the command.

  


  Here's the code snippet :

  


  ffmpeg(new URL(vid))
  .outputOptions("-vf", "scale=320:-1:flags=lanczos,fps=14")
  .on('progress', () => {
      console.log('progress');
  })
  .on('end', () => {
     //Do stuff with the result when it is done
  })
  .output(newKey)
  .run(newKey);


  


  in this snippet, "vid" is a presigned GET url for an S3 bucket containing the .webm video file, and "newKey" is the name of the new bucket (and a temporary writeStream/File that is created in the lambda to store the new .gif file until we upload it to S3 - not super relevant to this issue).

  


  What should happen (and does locally) is that a new output is created containing the converted .gif file

  


  What happens when it is deployed in a lambda is that it reaches the .outputOptions call and throws a type error saying that it cannot read property isStream of undefined.

  


  At first glance, this seems like I simply don't have FFMPEG installed in the lambda, but I do. I have tried with the prebuilt layer using NodeJS 10 found here : https://serverlessrepo.aws.amazon.com/applications/us-east-1/145266761615/ffmpeg-lambda-layer ,
with a NodeJS 12 layer that was built by some engineers here previously, and tried building a NodeJS 14 FFMPEG layer myself and using that. I tried for all three using no configuration and letting it call the PATH ffmpeg, using the FFMPEG_PATH and FFPROBE_PATH environment variables set to either what was specified in the previous layers, or what I made it in the newly built one, and even manually setting the path to the executables using the setFfmpegPath and setFfprobePath functions found on the fluent-ffmpeg object.

  


  Lastly, I even tried bundling the executables in with the actual lambda code itself and uploading it through an S3, trying all three above methods of getting it to point to the correct paths once again to no avail.

  


  I'm seriously in need of help if anyone else has encountered something similar or just might know what is going on. I'm at wit's end here trying to figure this out.

  


• What are the gotchas of using statically linked libraries in serverless platforms such as Google Cloud Functions ?

  5 septembre 2017, par Dzh

  Libraries such as ffmpeg-static upload statically linked binaries onto container.

  I wonder what are the drawbacks of using this approach ?

  Does the library size counts against your memory use (it’s billed by GCloud) ?

  Does it slow down the container ? Perhaps some future-proofing issues ?

  Edit : Found something of a related (I wanted to setup OpenCV) on AWS blog. It doesn’t explain drawbacks, just shows how to do it exactly.