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ANNEXE : Les plugins utilisés spécifiquement pour la ferme
5 mars 2010, parLe site central/maître de la ferme a besoin d’utiliser plusieurs plugins supplémentaires vis à vis des canaux pour son bon fonctionnement. le plugin Gestion de la mutualisation ; le plugin inscription3 pour gérer les inscriptions et les demandes de création d’instance de mutualisation dès l’inscription des utilisateurs ; le plugin verifier qui fournit une API de vérification des champs (utilisé par inscription3) ; le plugin champs extras v2 nécessité par inscription3 (...)
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MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 is the first MediaSPIP stable release.
Its official release date is June 21, 2013 and is announced here.
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...) -
Creating farms of unique websites
13 avril 2011, parMediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)
Sur d’autres sites (7562)
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Need help understanding this script which uses ffmpeg to send rtmp input to node.js script
4 juin 2022, par Arpit ShuklaI was trying to understand this shell script which uses ffmpeg to take an rtmp input stream and send it to a node.js script. But I am having trouble understanding the syntax. Can someone please explain what is going on here ?


The script :


while :
do
 echo "Loop start"

 feed_time=$(ffprobe -v error -show_entries format=start_time -of default=noprint_wrappers=1:nokey=1 $RTMP_INPUT)
 printf "feed_time value: ${feed_time}"

 if [ ! -z "${feed_time}" ]
 then
 ffmpeg -i $RTMP_INPUT -tune zerolatency -muxdelay 0 -af "afftdn=nf=-20, highpass=f=200, lowpass=f=3000" -vn -sn -dn -f wav -ar 16000 -ac 1 - 2>/dev/null | node src/transcribe.js $feed_time

 else
 echo "FFprobe returned null as a feed time."
 
 fi

 echo "Loop finish"
 sleep 3
done



- 

- What is
feed_time
here ? What does it represent ? - What is this portion doing
- 2>/dev/null | node src/transcribe.js $feed_time
? - What is the use of
sleep 3
? Does this mean that we are sending audio stream to node.js in chuncks of 3 seconds ?








- What is
-
Understanding a script which uses ffmpeg to send rtmp input to node.js script
4 juin 2022, par Arpit ShuklaI was trying to understand this shell script which uses ffmpeg to take an rtmp input stream and send it to a node.js script. But I am having trouble understanding the syntax. What is going on here ?


The script :


while :
do
 echo "Loop start"

 feed_time=$(ffprobe -v error -show_entries format=start_time -of default=noprint_wrappers=1:nokey=1 $RTMP_INPUT)
 printf "feed_time value: ${feed_time}"

 if [ ! -z "${feed_time}" ]
 then
 ffmpeg -i $RTMP_INPUT -tune zerolatency -muxdelay 0 -af "afftdn=nf=-20, highpass=f=200, lowpass=f=3000" -vn -sn -dn -f wav -ar 16000 -ac 1 - 2>/dev/null | node src/transcribe.js $feed_time

 else
 echo "FFprobe returned null as a feed time."
 
 fi

 echo "Loop finish"
 sleep 3
done



- 

- What is
feed_time
here ? What does it represent ? - What is this portion doing
- 2>/dev/null | node src/transcribe.js $feed_time
? - What is the use of
sleep 3
? Does this mean that we are sending audio stream to node.js in chuncks of 3 seconds ?








- What is
-
AWS Rekognition error : Chunk video failed
14 juin 2022, par Stefano LeoneI'm using and launching Amazon Rekognition on my videos uploaded into my S3 with python. Every video is converted with FFMPEG with
AAC
Audio Codec andH264
Video Codec and then given to Rekognition. Videos are always fine, the problem is that only 60-70% of videos are processed successfully, while the rest of videos goes into error. In particular, inside the JSON returned from Rekognition :

{'JobId': '<id of="of" my="my" job="job">', 'Status': 'FAILED', 'API': 'StartFaceDetection', 'Message': 'Chunk video failed: Only 1 I-frames found in video', 'Timestamp': 1655118632996, 'Video': {'S3ObjectName': '<my video="video" inside="inside" s3="s3">', 'S3Bucket': '<my s3="s3">'}, 'ErrorCode': 'VideoNotDecodable'}
</my></my></id>


As you can see, I get an error
"Chunk video failed: only 1 I-Frames found in video"
. Honestly I don't know what is that, but the fact that I convert every video in the same way, but Rekognition fails only with some, makes me crazy. Googling was not helpful, hope you can tell me what's wrong.