
Recherche avancée
Médias (1)
-
Rennes Emotion Map 2010-11
19 octobre 2011, par
Mis à jour : Juillet 2013
Langue : français
Type : Texte
Autres articles (48)
-
Gestion des droits de création et d’édition des objets
8 février 2011, parPar défaut, beaucoup de fonctionnalités sont limitées aux administrateurs mais restent configurables indépendamment pour modifier leur statut minimal d’utilisation notamment : la rédaction de contenus sur le site modifiables dans la gestion des templates de formulaires ; l’ajout de notes aux articles ; l’ajout de légendes et d’annotations sur les images ;
-
Diogene : création de masques spécifiques de formulaires d’édition de contenus
26 octobre 2010, parDiogene est un des plugins ? SPIP activé par défaut (extension) lors de l’initialisation de MediaSPIP.
A quoi sert ce plugin
Création de masques de formulaires
Le plugin Diogène permet de créer des masques de formulaires spécifiques par secteur sur les trois objets spécifiques SPIP que sont : les articles ; les rubriques ; les sites
Il permet ainsi de définir en fonction d’un secteur particulier, un masque de formulaire par objet, ajoutant ou enlevant ainsi des champs afin de rendre le formulaire (...) -
Problèmes fréquents
10 mars 2010, parPHP et safe_mode activé
Une des principales sources de problèmes relève de la configuration de PHP et notamment de l’activation du safe_mode
La solution consiterait à soit désactiver le safe_mode soit placer le script dans un répertoire accessible par apache pour le site
Sur d’autres sites (7096)
-
AWS lambda mp4 thumbnail generator using ffmpeg - incorrect format generated
10 avril 2021, par sam bhanduI 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 eartoolboxI 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 eartoolboxI 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')
 }