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• What resolution would be best for processing videos in firebase functions ? [closed]

  11 janvier 2020, par Nathan

  I’m making an app that is mainly used for sharing videos of maximum 30 seconds long. One video example could be a screen recording of someone’s computer screen or a game. I have this code that checks whether the uploaded video that has just been uploaded to firebase storage has been processed or not and if it hasn’t then I use ffmpeg to process the video (change the resolution etc.) with this command :

  const promise = spawn('./ffmpeg', ['-i', tempFilePath, '-vf', 'scale=1280:720', targetTempFilePath]);

  Now with these commands, the firebase function is giving me a timeout error when I upload 30 second clips since I’m only converting the video to 720. I was just wondering what compression settings would be sufficient enough for the video to :

  1. Be still a high enough quality in my app
  2. Not take ages processing the video in the function (10-20 second clips works perfectly well).

  I know the better option would be to use Googles App engine or something similar to process videos but I’d prefer it to avoid that at the moment, if I can’t process videos to a good enough quality without sacrificing efficiency then I will go to something like Google’s App engine, just need some advice and some pointers for it otherwise.

  EDIT :

  I’ve seen instagram compresses their videos to a resolution of 640x640 ? Would that be reasonable or is it dependent on the original clip’s resolution ?

  Thanks

• Best way to concatenate videos that have different resolution (generally 1080 or 720)

  5 mai 2022, par jap101

  from command line or python would be best. and i am trying to concatenate around 15 clips of 45 seconds. preferably easy to automate with different number of videos and of different length.

  


• I want to print HLS files using ffmpeg in aws lambda (python)

  14 avril 2021, par 최우선

  I implemented it through the link(https://aws.amazon.com/ko/blogs/media/processing-user-generated-content-using-aws-lambda-and-ffmpeg/) here, and it works well.

  


  s3_source_bucket = event['Records'][0]['s3']['bucket']['name']
s3_source_key = event['Records'][0]['s3']['object']['key']

s3_source_basename = os.path.splitext(os.path.basename(s3_source_key))[0]
s3_destination_filename = s3_source_basename + ".m3u8"

s3_client = boto3.client('s3')
s3_source_signed_url = s3_client.generate_presigned_url('get_object',
    Params={'Bucket': s3_source_bucket, 'Key': s3_source_key},
    ExpiresIn=SIGNED_URL_TIMEOUT)


ffmpeg_cmd = "/opt/bin/ffmpeg -i \"" + s3_source_signed_url + "\" -codec: copy -start_number 0 -hls_time 10 -hls_list_size 0 -f hls -"
command1 = shlex.split(ffmpeg_cmd)
p1 = subprocess.run(command1, stdout=subprocess.PIPE, stderr=subprocess.PIPE)

resp = s3_client.put_object(Body=p1.stdout, Bucket=S3_DESTINATION_BUCKET, Key=s3_destination_filename)


  


  However, the actual output through ffmpeg is multiple files. For example test.m3u8, test0.ts, test1.ts .....

  


  But when I print p1.stdout, it looks like multiple files (test.m3u8,test0.ts....) are merged into one file.

  


  Is there a way to get the actual output multiple files (test.m3u8,test0.ts......) from p1.stdout ? Please help.