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  • Personnaliser les catégories

    21 juin 2013, par

    Formulaire de création d’une catégorie
    Pour ceux qui connaissent bien SPIP, une catégorie peut être assimilée à une rubrique.
    Dans le cas d’un document de type catégorie, les champs proposés par défaut sont : Texte
    On peut modifier ce formulaire dans la partie :
    Administration > Configuration des masques de formulaire.
    Dans le cas d’un document de type média, les champs non affichés par défaut sont : Descriptif rapide
    Par ailleurs, c’est dans cette partie configuration qu’on peut indiquer le (...)

  • Support de tous types de médias

    10 avril 2011

    Contrairement à beaucoup de logiciels et autres plate-formes modernes de partage de documents, MediaSPIP a l’ambition de gérer un maximum de formats de documents différents qu’ils soient de type : images (png, gif, jpg, bmp et autres...) ; audio (MP3, Ogg, Wav et autres...) ; vidéo (Avi, MP4, Ogv, mpg, mov, wmv et autres...) ; contenu textuel, code ou autres (open office, microsoft office (tableur, présentation), web (html, css), LaTeX, Google Earth) (...)

  • Supporting all media types

    13 avril 2011, par

    Unlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)

Sur d’autres sites (9413)

  • Lambda/ffmpeg timelapse generation - output zero bytes, can't debug ffmpeg

    25 août 2021, par GoOutside

    I am attempting to use an AWS Lambda FFMPEG layer to build a timelapse of static images in an S3 bucket. To begin, I am basing my project off of the tutorial located here.

    


    I can replicate the steps in the tutorial, so I know the FFMPEG layer is working in Lambda. I have replicated the FFMPEG commands on a standalone server, so I know they are correct.

    


    Here is my setup : I have two S3 buckets, lambda-source-bucket and lambda-destination-bucket. The contents of lambda-source-bucket are :

    


    1.jpg
2.jpg
3.jpg
4.jpg
5.jpg
6.jpg
7.jpg
files.txt


    


    The files.txt contains this :

    


    file 'https://lambda-source-bucket.s3.us-west-2.amazonaws.com/1.jpg'
file 'https://lambda-source-bucket.s3.us-west-2.amazonaws.com/2.jpg'
file 'https://lambda-source-bucket.s3.us-west-2.amazonaws.com/3.jpg'
file 'https://lambda-source-bucket.s3.us-west-2.amazonaws.com/4.jpg'
file 'https://lambda-source-bucket.s3.us-west-2.amazonaws.com/5.jpg'
file 'https://lambda-source-bucket.s3.us-west-2.amazonaws.com/6.jpg'
file 'https://lambda-source-bucket.s3.us-west-2.amazonaws.com/7.jpg'


    


    This is my Lambda function code (in Python) :

    


    import json
import os
import subprocess
import shlex
import boto3

S3_DESTINATION_BUCKET = "lambda-destination-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 = "timelapse.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 = "/opt/bin/ffmpeg -y -r 24 -f concat -safe 0 -protocol_whitelist file,http,tcp,https,tls -I ""https://lambda-source-bucket.s3.us-west-2.amazonaws.com/files.txt"" -c copy -s 1024x576 -vcodec libx264 -"    
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')
    }


    


    The trigger for the Lambda function is when a new files.txt file is added to lambda-source-bucket.

    


    So far I have been able to get the trigger to fire, the function supposedly runs without errors (in Cloudwatch), and the function creates a new timelapse.mp4 in the lambda-destination-bucket. But this file is 0 bytes. I see no FFMPEG errors in the Cloudwatch console, though I am not sure I know how to configure my Lambda function code to log FFMPEG errors.

    


    Also : if I'm going about this in a totally wrong way, I'd love to hear feedback. I'm guessing that the concat and files.txt method of looping through https:// is not the most efficient way to do this, but it's the only way I can figure this out so far.

    


    Any help is most sincerely and humbly appreciated.

    


  • Transcodeit Add metadata to audio files

    22 avril 2016, par Gismmo

    I have found how to encode audio tracks to multiple formats, I am just struggling to try and find a way to attach specific metadata to the tracks when they are encoded. I would like to add, album artwork, artists name, track name, and genre etc.

    I can see in the audio encoding parameters there are additional FFmpeg parameters you can set, however i am unsure what to use in order to set the metadata ?

    {
     "steps": {
     "imported": {
     "robot": "/s3/import",
     "result": true,
     "key": "AWS_KEY",
     "secret": "AWS_SECRET",
     "bucket": "BUCKET",
     "path": "CUSTOM-PATH"
    },
    "mp3": {
     "use": "imported",
     "robot": "/audio/encode",
     "result": true,
     "preset": "mp3",
     "ffmpeg": [],
     "ffmpeg_stack": "v2.2.3"
    },
    "wav": {
     "use": "imported",
     "robot": "/audio/encode",
     "result": true,
     "preset": "wav",
     "ffmpeg_stack": "v2.2.3"
    },
    "export": {
     "robot": "/s3/store",
     "use": [
       "mp3",
       "wav"
     ],
     "key": "AWS_KEY",
     "secret": "AWS_SECRET",
     "bucket": "BUCKET"
    }
  • avformat/flvenc : implement support for multi-track video

    1er avril 2024, par Dennis Sädtler
    avformat/flvenc : implement support for multi-track video
    

    Based on enhanced-rtmp v2 spec published by Veovera :
    https://veovera.github.io/enhanced-rtmp/docs/enhanced/enhanced-rtmp-v2

    This implementation maintains some backwards compatibility by only
    writing the track information for track indices > 0. This means that
    older FFmpeg versions - and possibly other software - can still read the
    first video track properly and skip over unsupported packets.

    Signed-off-by : Dennis Sädtler <dennis@obsproject.com>
    Signed-off-by : Timo Rothenpieler <timo@rothenpieler.org>

    • [DH] libavformat/flv.h
    • [DH] libavformat/flvenc.c