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    10 avril 2011

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    12 avril 2011, par

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    25 avril 2011, par

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Sur d’autres sites (9570)

  • AWS lambda mp4 thumbnail generator using ffmpeg - incorrect format generated

    10 avril 2021, par sam bhandu

    I am trying to create a thumbnail generator for every mp4 file uploaded to the s3 bucket. I have been following this post published by AWS. The code works fine for the transcoding video file. I changed the code to generate a thumbnail. The code does generate a file but it is an invalid image type.

    


    import json
import os
import subprocess
import shlex
import boto3
import uuid

S3_DESTINATION_BUCKET = "example-bucket"
SIGNED_URL_TIMEOUT = 60

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 + "_cfr.ts"
    
    hex_c = uuid.uuid4()
    s3_destination_filename = '/{}/{}.{}'.format('tmp',hex_c, 'jpg')
    s3_client = boto3.client('s3')
    s3_media_url = 'https://s3-us-west-2.amazonaws.com/example-bucket/videos/presentations/testing.mp4'
    ffmpeg_cmd = "/opt/bin/ffmpeg -i \"" + s3_media_url + "\" -ss 00:00:02 -vframes 1  \"" + s3_destination_filename + "\""
    # ffmpeg_cmd = "/opt/bin/ffmpeg -i \"" + s3_source_signed_url + "\" -f mpegts -c:v copy -af aresample=async=1:first_pts=0 -"
    
    command1 = shlex.split(ffmpeg_cmd)
    p1 = subprocess.run(command1, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
   
    resp = s3_client.put_object(Body=s3_destination_filename, Bucket=S3_DESTINATION_BUCKET, Key='{}{}'.format(hex_c, '.jpg'))
    return {
        'statusCode': 200,
        'body': json.dumps('Processing complete successfully')
    }


    


    Output is as :

    


    {
  "statusCode": 200,
  "body": "\"Processing complete successfully\""
}

Function Logs
START RequestId: b73aaacc-5da5-417a-9f98-5def438dee96 Version: $LATEST
ffmpeg version 4.1.3-static https://johnvansickle.com/ffmpeg/  Copyright (c) 2000-2019 the FFmpeg developers
  built with gcc 6.3.0 (Debian 6.3.0-18+deb9u1) 20170516
  configuration: --enable-gpl --enable-version3 --enable-static --disable-debug --disable-ffplay --disable-indev=sndio --disable-outdev=sndio --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, mov,mp4,m4a,3gp,3g2,mj2, from 'https://s3-us-west-2.amazonaws.com/example-bucket/videos/presentations/testing.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 1
    compatible_brands: isomavc1mp42
    creation_time   : 2020-04-17T18:31:33.000000Z
  Duration: 00:00:33.07, start: 0.000000, bitrate: 90 kb/s
    Stream #0:0(und): Video: h264 (Main) (avc1 / 0x31637661), yuv420p(tv, bt709), 854x480 [SAR 1:1 DAR 427:240], 23 kb/s, 30 fps, 30 tbr, 30 tbn, 60 tbc (default)
    Metadata:
      creation_time   : 2020-04-17T18:31:29.000000Z
    Stream #0:1(eng): Audio: aac (HE-AAC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 64 kb/s (default)
    Metadata:
      creation_time   : 2020-04-17T18:31:29.000000Z
Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> mjpeg (native))
Press [q] to stop, [?] for help
[swscaler @ 0x67ddc40] deprecated pixel format used, make sure you did set range correctly
Output #0, image2, to '/tmp/4633bb13-4a15-49b7-a445-d910bebaddf6.jpg':
  Metadata:
    major_brand     : isom
    minor_version   : 1
    compatible_brands: isomavc1mp42
    encoder         : Lavf58.20.100
    Stream #0:0(und): Video: mjpeg, yuvj420p(pc), 854x480 [SAR 1:1 DAR 427:240], q=2-31, 200 kb/s, 30 fps, 30 tbn, 30 tbc (default)
    Metadata:
      creation_time   : 2020-04-17T18:31:29.000000Z
      encoder         : Lavc58.35.100 mjpeg
    Side data:
      cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: -1
frame=    0 fps=0.0 q=0.0 size=N/A time=00:00:00.00 bitrate=N/A speed=   0x    
frame=    0 fps=0.0 q=0.0 size=N/A time=00:00:00.00 bitrate=N/A speed=   0x    
frame=    0 fps=0.0 q=0.0 size=N/A time=00:00:00.00 bitrate=N/A speed=   0x    
frame=    1 fps=0.4 q=6.3 Lsize=N/A time=00:00:00.03 bitrate=N/A speed=0.0149x    
video:14kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
END RequestId: b73aaacc-5da5-417a-9f98-5def438dee96
REPORT RequestId: b73aaacc-5da5-417a-9f98-5def438dee96  Duration: 6349.25 ms    Billed Duration: 6350 ms    Memory Size: 155 MB Max Memory Used: 123 MB Init Duration: 368.12 ms

Request ID
b73aaacc-5da5-417a-9f98-5def438dee96


    


    An image file is uploaded to the S3 folder, but when I try to open it flags an invalid file format. The file size is only 40.0 Bytes.
S3 bucket image folder
invalid file format

    


  • ffmpeg file conversion AWS Lamda

    10 avril 2021, par eartoolbox

    I want a .webm file to be converted to a .wav file after it hits my S3 bucket. I followed this tutorial and tried to adapt it from my use case using the .webm -> .wav ffmpeg command described here.

    


    My AWS Lambda function generally works, in that when my .webm file hits the source bucket, it is converted to .wav and ends up in the destination bucket. However, the resulting file .wav is always 0 bytes (though the .webm not, including the appropriate audio). Did I adapt the code wrong ? I only changed the ffmpeg_cmd line from the first link.

    


    import json
import os
import subprocess
import shlex
import boto3

S3_DESTINATION_BUCKET = "hmtm-out"
SIGNED_URL_TIMEOUT = 60

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 + ".wav"

    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 + "\" -c:a pcm_f32le " + s3_destination_filename + " -"
    
    
    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)

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


    


  • ffmpeg file conversion AWS Lambda

    10 avril 2021, par eartoolbox

    I want a .webm file to be converted to a .wav file after it hits my S3 bucket. I followed this tutorial and tried to adapt it from my use case using the .webm -> .wav ffmpeg command described here.

    


    My AWS Lambda function generally works, in that when my .webm file hits the source bucket, it is converted to .wav and ends up in the destination bucket. However, the resulting file .wav is always 0 bytes (though the .webm not, including the appropriate audio). Did I adapt the code wrong ? I only changed the ffmpeg_cmd line from the first link.

    


    import json
import os
import subprocess
import shlex
import boto3

S3_DESTINATION_BUCKET = "hmtm-out"
SIGNED_URL_TIMEOUT = 60

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 + ".wav"

    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 + "\" -c:a pcm_f32le " + s3_destination_filename + " -"
    
    
    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)

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