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Autres articles (103)
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MediaSPIP 0.1 Beta version
25 avril 2011, parMediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
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 (...) -
Multilang : améliorer l’interface pour les blocs multilingues
18 février 2011, parMultilang est un plugin supplémentaire qui n’est pas activé par défaut lors de l’initialisation de MediaSPIP.
Après son activation, une préconfiguration est mise en place automatiquement par MediaSPIP init permettant à la nouvelle fonctionnalité d’être automatiquement opérationnelle. Il n’est donc pas obligatoire de passer par une étape de configuration pour cela. -
HTML5 audio and video support
13 avril 2011, parMediaSPIP uses HTML5 video and audio tags to play multimedia files, taking advantage of the latest W3C innovations supported by modern browsers.
The MediaSPIP player used has been created specifically for MediaSPIP and can be easily adapted to fit in with a specific theme.
For older browsers the Flowplayer flash fallback is used.
MediaSPIP allows for media playback on major mobile platforms with the above (...)
Sur d’autres sites (12291)
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Thumbnails from S3 Videos using FFMPEG - "No such file or directory : '/bin/ffmpeg'"
28 juin 2022, par NicoI am trying to generate thumbnails from videos in an S3 bucket every x frames by following this documentation : https://aws.amazon.com/blogs/media/processing-user-generated-content-using-aws-lambda-and-ffmpeg/


I am at the point where I'm testing the Lambda code provided in the documentation, but receive this error in CloudWatch Logs :




Here is the portion of the Lambda code associated with this error :




Any help is appreciated. Thanks !


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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
AACAudio Codec andH264Video 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.

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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


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- What is
feed_timehere ? 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 ?








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