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• FFMPEG concat video throws No Such Filter error

  5 janvier 2021, par Rohan Shah

  I am trying to concat three videos using FFMPEG,

  


  This is my command that I am executing using Java Runtime

  


      String command = "ffmpeg -i url_to_video -i url_to_video -i url_to_video -filter_complex [0:v] [0:a] [1:v] [1:a] [2:v] [2:a] concat=n=3:v=1:a=1 [v] [a] -map [v] -map [a] /home/rohan/output.mp4";

    Process process = Runtime.getRuntime().exec(command.split(" "));


  


  This is throwing me No Such Filter error, whereas if I try to run this via Terminal it works perfectly fine. I tried tweaking the cmd by removing or adding quotes, but any variant of this command that runs on terminal throws error in Java Runtime. While it runs perfectly on the Terminal.

  


  I have tried with Absolute paths and Amazon S3 URLs, while both of them work just fine in terminal, The S3 variant of command throws No Such Filter error and the Absolute path command throws a No Such File Or Directory error during Runtime.

  


  Here is the stack trace of the error

  


  Here is the standard error of the command (if any):

ffmpeg version n4.3.1 Copyright (c) 2000-2020 the FFmpeg developers
  built with gcc 7 (Ubuntu 7.5.0-3ubuntu1~18.04)
  configuration: --prefix= --prefix=/usr --disable-debug --disable-doc --disable-static --enable-cuda --enable-cuda-sdk --enable-cuvid --enable-libdrm --enable-ffplay --enable-gnutls --enable-gpl --enable-libass --enable-libfdk-aac --enable-libfontconfig --enable-libfreetype --enable-libmp3lame --enable-libnpp --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libopus --enable-libpulse --enable-sdl2 --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libv4l2 --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libxcb --enable-libxvid --enable-nonfree --enable-nvenc --enable-omx --enable-openal --enable-opencl --enable-runtime-cpudetect --enable-shared --enable-vaapi --enable-vdpau --enable-version3 --enable-xlib
  libavutil      56. 51.100 / 56. 51.100
  libavcodec     58. 91.100 / 58. 91.100
  libavformat    58. 45.100 / 58. 45.100
  libavdevice    58. 10.100 / 58. 10.100
  libavfilter     7. 85.100 /  7. 85.100
  libswscale      5.  7.100 /  5.  7.100
  libswresample   3.  7.100 /  3.  7.100
  libpostproc    55.  7.100 / 55.  7.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'https://openxcell-development-public.s3.ap-south-1.amazonaws.com/bhit/outputForBHit.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.45.100
  Duration: 00:00:10.57, start: 0.000000, bitrate: 2048 kb/s
    Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1280x720 [SAR 1:1 DAR 16:9], 1696 kb/s, 25 fps, 25 tbr, 12800 tbn, 50 tbc (default)
    Metadata:
      handler_name    : VideoHandler
    Stream #0:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, 5.1, fltp, 347 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
Input #1, mov,mp4,m4a,3gp,3g2,mj2, from 'https://openxcell-development-public.s3.ap-south-1.amazonaws.com/bhit/outputForBHit.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.45.100
  Duration: 00:00:10.57, start: 0.000000, bitrate: 2048 kb/s
    Stream #1:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1280x720 [SAR 1:1 DAR 16:9], 1696 kb/s, 25 fps, 25 tbr, 12800 tbn, 50 tbc (default)
    Metadata:
      handler_name    : VideoHandler
    Stream #1:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, 5.1, fltp, 347 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
Input #2, mov,mp4,m4a,3gp,3g2,mj2, from 'https://openxcell-development-public.s3.ap-south-1.amazonaws.com/bhit/outputForBHit.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.45.100
  Duration: 00:00:10.57, start: 0.000000, bitrate: 2048 kb/s
    Stream #2:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1280x720 [SAR 1:1 DAR 16:9], 1696 kb/s, 25 fps, 25 tbr, 12800 tbn, 50 tbc (default)
    Metadata:
      handler_name    : VideoHandler
    Stream #2:1(und): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, 5.1, fltp, 347 kb/s (default)
    Metadata:
      handler_name    : SoundHandler
[AVFilterGraph @ 0x564151595680] No such filter: ''
Error initializing complex filters.
Invalid argument


  


• ffmpeg + AWS Lambda issues. Won't compress full video

  7 juillet 2022, par Joesph Stah Lynn

  So I followed this tutorial to set everything up, and changed the function a bit to compress video, but no matter what I try, on larger videos (basically anything over 50-100MB), the output file will always be cut short, and depending on the encoding settings I'm using, will be cut by different amounts. I tried using the solution found here, adding a -nostdin flag to my ffmpeg command, but that also didn't seem to fix the issue.
  
Another odd thing, is no matter what I try, if I remove the '-f mpegts' flag, the output video will be 0B.
  
My Lambda function is set up with 3008MB of Memory (submitted a ticket to get my limit upped so I can use the full 10240MB available), and 2048MB of Ephemeral storage (I honestly am not sure if I need anything more than the minimum 512, but I upped it to try and fix the issue). When I check my cloudwatch logs, on really large files, it will occasionally time out, but other than that, I will get no error messages, just the standard start, end, and billable time messages.

  


  This is the code for my lambda function.

  


  import json
import os
import subprocess
import shlex
import boto3

S3_DESTINATION_BUCKET = "rw-video-out"
SIGNED_URL_TIMEOUT = 600

def lambda_handler(event, context):

    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 + "-comp.mp4"

    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 = f"/opt/bin/ffmpeg -nostdin -i {s3_source_signed_url} -f mpegts libx264 -preset fast -crf 28 -c:a copy - "
    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)
    s3 = boto3.resource('s3')
    s3.Object(s3_source_bucket,s3_source_key).delete()

    return {
        'statusCode': 200,
        'body': json.dumps('Processing complete successfully')
    }


  


  This is the code from the solution I mentioned, but when I try using this code, I get output.mp4 not found errors

  


  def lambda_handler(event, context):
    print(event)
    os.chdir('/tmp')
    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 + ".mp4"

    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)
    print(s3_source_signed_url)
    s3_client.download_file(s3_source_bucket,s3_source_key,s3_source_key)
    # ffmpeg_cmd = "/opt/bin/ffmpeg -framerate 25 -i \"" + s3_source_signed_url + "\" output.mp4 "
    ffmpeg_cmd = f"/opt/bin/ffmpeg -framerate 25 -i {s3_source_key} output.mp4 "
    # command1 = shlex.split(ffmpeg_cmd)
    # print(command1)
    os.system(ffmpeg_cmd)
    # os.system('ls')
    # p1 = subprocess.run(command1, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
    file = 'output.mp4'
    resp = s3_client.put_object(Body=open(file,"rb"), Bucket=S3_DESTINATION_BUCKET, Key=s3_destination_filename)
    # resp = s3_client.put_object(Body=p1.stdout, Bucket=S3_DESTINATION_BUCKET, Key=s3_destination_filename)
    s3 = boto3.resource('s3')
    s3.Object(s3_source_bucket,s3_source_key).delete()
    return {
        'statusCode': 200,
        'body': json.dumps('Processing complete successfully')
    }


  


  Any help would be greatly appreciated.

  


• AWS Lambda subprocess OSError : [Errno 2] No such file or directory

  11 septembre 2016, par Lev

  I’m trying to create a lambda function that makes collection of thumbnails from a video on amazon s3 using ffmpeg. ffmpeg binary is included into fuction package.

  function code :

  # -*- coding: utf-8 -*-
  
  
  
  import stat
  
  import shutil
  
  import boto3
  
  import logging
  
  import subprocess as sp
  
  import os
  
  import threading
  
  
  
  thumbnail_prefix = 'thumb_'
  
  thumbnail_ext = '.jpg'
  
  time_delta = 1
  
  video_frames_path = 'media/videos/frames'
  
  
  
  print('Loading function')
  
  logger = logging.getLogger()
  
  logger.setLevel(logging.INFO)
  
  
  
  lambda_tmp_dir = '/tmp'  # Lambda fuction can use this directory.
  
  
  
  # ffmpeg is stored with this script.
  
  # When executing ffmpeg, execute permission is requierd.
  
  # But Lambda source directory do not have permission to change it.
  
  # So move ffmpeg binary to `/tmp` and add permission.
  
  ffmpeg_bin = "{0}/ffmpeg.linux64".format(lambda_tmp_dir)
  
  shutil.copyfile('/var/task/ffmpeg.linux64', ffmpeg_bin)
  
  
  
  os.chmod(ffmpeg_bin, 777)
  
  
  
  # tried also:
  
  # os.chmod(ffmpeg_bin, os.stat(ffmpeg_bin).st_mode | stat.S_IEXEC)
  
  
  
  s3 = boto3.client('s3')
  
  
  
  
  
  def get_thumb_filename(num):
  
      return '{prefix}{num:03d}{ext}'.format(prefix=thumbnail_prefix, num=num, ext=thumbnail_ext)
  
  
  
  
  
  def create_thumbnails(video_url):
  
      i = 1
  
      filenames_list = []
  
      filename = None
  
      while i == 1 or os.path.isfile(os.path.join(os.getcwd(), get_thumb_filename(i-1))):
  
          if filename:
  
              filenames_list.append(filename)
  
          time = time_delta * (i - 1)
  
          filename = get_thumb_filename(i)
  
          print(ffmpeg_bin)
  
          if os.path.isfile(ffmpeg_bin):
  
              print('ok')
  
          sp.call(['sudo',
  
                   ffmpeg_bin,
  
                   '-ss',
  
                   str(time),
  
                   '-i',
  
                   video_url,
  
                   '-frames:v',
  
                   '1',
  
                   get_thumb_filename(i)])
  
          i += 1
  
      print(filenames_list)
  
      return filenames_list
  
  
  
  
  
  def s3_upload_file(file_path, key, bucket, acl, content_type):
  
      file = open(file_path, 'r')
  
      s3.put_object(
  
          Bucket=bucket,
  
          ACL=acl,
  
          Body=file,
  
          Key=key,
  
          ContentType=content_type
  
      )
  
      logger.info("file {0} moved to {1}/{2}".format(file_path, bucket, key))
  
  
  
  
  
  def s3_upload_files_in_threads(filenames_list, dir_path, bucket, s3path, acl, content_type):
  
      for filename in filenames_list:
  
          if os.path.isfile(os.path.join(dir_path, filename)):
  
              print(os.path.join(dir_path, filename))
  
          t = threading.Thread(target=s3_upload_file,
  
                               args=(os.path.join(dir_path, filename),
  
                                     '{0}/{1}'.format(s3path, filename),
  
                                     bucket,
  
                                     acl,
  
                                     content_type)).start()
  
  
  
  
  
  def lambda_handler(event, context):
  
      bucket = event['Records'][0]['s3']['bucket']['name']
  
      video_key = event['Records'][0]['s3']['object']['key']
  
      video_name = video_key.split('/')[-1].split('.')[0]
  
      video_url = 'http://{0}/{1}'.format(bucket, video_key)
  
      filenames_list = create_thumbnails(video_url)
  
      s3_upload_files_in_threads(filenames_list,
  
                                 os.getcwd(),
  
                                 bucket,
  
                                 '{0}/{1}'.format(video_frames_path, video_name),
  
                                 'public-read',
  
                                 'image/jpeg')
  
      return

  during the execution I get following logs :

  Loading function
  
  
  
  /tmp/ffmpeg.linux64
  
  
  
  ok
  
  
  
  [Errno 2] No such file or directory: OSError
  
  Traceback (most recent call last):
  
   File "/var/task/lambda_function.py", line 112, in lambda_handler
  
   filenames_list = create_thumbnails(video_url)
  
   File "/var/task/lambda_function.py", line 77, in create_thumbnails
  
   get_thumb_filename(i)])
  
   File "/usr/lib64/python2.7/subprocess.py", line 522, in call
  
   return Popen(*popenargs, **kwargs).wait()
  
   File "/usr/lib64/python2.7/subprocess.py", line 710, in __init__
  
   errread, errwrite)
  
   File "/usr/lib64/python2.7/subprocess.py", line 1335, in _execute_child
  
   raise child_exception
  
  OSError: [Errno 2] No such file or directory

  When I use the same sp.call() with the same ffmpeg binary on my ec2 instance it works fine.