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Autres articles (80)
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Ajouter des informations spécifiques aux utilisateurs et autres modifications de comportement liées aux auteurs
12 avril 2011, parLa manière la plus simple d’ajouter des informations aux auteurs est d’installer le plugin Inscription3. Il permet également de modifier certains comportements liés aux utilisateurs (référez-vous à sa documentation pour plus d’informations).
Il est également possible d’ajouter des champs aux auteurs en installant les plugins champs extras 2 et Interface pour champs extras. -
Personnaliser les catégories
21 juin 2013, parFormulaire 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 audio et vidéo HTML5
10 avril 2011MediaSPIP utilise les balises HTML5 video et audio pour la lecture de documents multimedia en profitant des dernières innovations du W3C supportées par les navigateurs modernes.
Pour les navigateurs plus anciens, le lecteur flash Flowplayer est utilisé.
Le lecteur HTML5 utilisé a été spécifiquement créé pour MediaSPIP : il est complètement modifiable graphiquement pour correspondre à un thème choisi.
Ces technologies permettent de distribuer vidéo et son à la fois sur des ordinateurs conventionnels (...)
Sur d’autres sites (11157)
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Live stream doesn't seem to be passed to AWS correctly
12 août 2024, par NoobAmII'm trying to stream my live video into Amazon IVS and I don't see it on the live channels.


Is it possible I have a mistake in my FFMPEG configuration ?
I'm expecting to see this in my playback url or on the console screen for playback but I see nothing at the moment.


As I understand it, shouldn't I see some kind of playback in the live channels if a stream is being sent that channel ?


` async sendDataToIvs(channelArn: string, payload: any): Promise<void> {
 const injestServer = '***.global-contribute.live-video.net';
 const streamKey = 'sk_us-east-1_*****';
 
 const ffmpeg = spawn('ffmpeg', [
 '-re', // Read input at native frame rate
 '-i', '-', // Input from stdin (live stream data)
 '-r', '30', // Frame rate
 '-c:v', 'libx264', // Video codec - H.264
 '-pix_fmt', 'yuv420p', // Pixel format
 '-profile:v', 'main', // H.264 profile
 '-preset', 'veryfast', // Encoder quality setting
 '-x264opts', 'nal-hrd=cbr:no-scenecut', // Additional x264 options
 '-minrate', '3000', // Minimum bitrate
 '-maxrate', '3000', // Maximum bitrate
 '-g', '60', // GOP size
 '-c:a', 'aac', // Audio codec
 '-b:a', '160k', // Audio bitrate
 '-ac', '2', // Audio channels
 '-ar', '44100', // Audio sample rate
 '-f', 'flv', // Output format
 `rtmps://${injestServer}:443/app/${streamKey}` // Output destination
 ]);
 
 ffmpeg.stdin.write(payload, (err) => {
 console.log(payload)
 if (err) console.error('Error writing payload to FFmpeg stdin:', err);
 });
 
 ffmpeg.on('close', (code) => {
 console.log(`FFmpeg process exited with code ${code}`);
 });
 
 ffmpeg.stdin.on('error', (err) => {
 console.error('Error writing to FFmpeg stdin:', err);
 });
 
 ffmpeg.stderr.on('data', (data) => {
 console.error(`FFmpeg error: ${data}`);
 });
 } `
</void>

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Running ffmpeg in Docker environment on AWS EC2 [duplicate]
5 mai 2024, par mustI want to use FFMPEG inside my Java application.
I want to instal ffmpeg in environment where this app is running.


My current Dockerfile :


# Stage 1: Build the application
FROM maven:3.8.4-openjdk-17 AS build
WORKDIR /app
COPY pom.xml .
COPY src ./src
RUN mvn clean install -Dmaven.test.skip=true

# Stage 2: Run the application
FROM openjdk:17
WORKDIR /app
COPY --from=build /app/target/application.jar ./app.jar
EXPOSE 8080
CMD ["java", "-jar", "-Dspring.profiles.active=pr", "app.jar"]


I simply built a docker image by running
docker buildx build --platform linux/amd64 -t repo/app:1.0 .

Then in AWS Console I run
docker runand pull built image.

Everyone writes about adding


RUN apt-get -y update && apt-get -y upgrade && apt-get install -y --no-install-recommends ffmpeg


but I cannot do it as I'm building image on MacOS and I do no have
apt-getcommand.

When I was trying to pull some image form DockerHub FFMPEG could not be found.


I tried this one : https://hub.docker.com/r/jrottenberg/ffmpeg


and declared DockerFile as :


# Stage 1: Build the application
FROM maven:3.8.4-openjdk-17 AS build
WORKDIR /app
COPY pom.xml .
COPY src ./src
RUN mvn clean install -Dmaven.test.skip=true

# Stage 2: Install ffmpeg
FROM jrottenberg/ffmpeg:latest AS ffmpeg

# Stage 3: Run the application
FROM openjdk:17
WORKDIR /app
COPY --from=build /app/target/application.jar ./app.jar
COPY --from=ffmpeg /usr/local/bin/ffmpeg /usr/local/bin/ffmpeg

EXPOSE 8080
CMD ["java", "-jar", "-Dspring.profiles.active=pr", "app.jar"]


but still it did not work. I get :


ffmpeg: error while loading shared libraries: libavdevice.so.58: cannot open shared object file: No such file or directory


I'm using Amazon Linux on EC2.


Can someone get me on the right track ?


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Why does fluent-ffmpeg only work when it throws the error Output stream closed
29 mars 2024, par volume oneI am using fluent-ffmpeg to process a video file (and then upload that to Amazon S3). The code is very straightforward but it only works if :


- 

- pipe option
{end: true}is set in.output() - which has a side-effect that causes the following console log output








Processing : 19.261847354642416% done Processing :
32.365144874807335% done Processing : 48.80978326261429% done Processing : 78.35771917058617%
Processing : 91.49377493455148% done Processing :
99.91264359125745% done An error occurred : Output stream closed




Despite that error, it seems the file is generated correctly and it gets uploaded to Amazon S3 fine.


This is the fluent-ffmpeg code :


import {PassThrough} from 'node:stream';
import FFMpeg from 'fluent-ffmpeg';

let PassThroughStream = new PassThrough();

 FFMpeg('/testvideo.mp4')
 .videoCodec('libx264')
 .audioCodec('libmp3lame')
 .size(`640x480`)
 // Stream output requires manually specifying output formats
 .format('mp4')
 .outputOptions('-movflags dash')
 .on('progress', function (progress) {
 console.log('Processing: ' + progress.percent + '% done');
 })
 .on('error', function (err) {
 console.log('An error occurred: ' + err.message);
 })
 .on('end', function () {
 console.log('FFMpeg Processing finished!');
 })
 .output(PassThroughStream, {end: true})
 .run();

 // Now upload to S3
 try {
 await s3Upload({
 AWSS3Client: 'mys3client',
 Bucket: 'publicbucket,
 ACL: "public-read",
 ContentType: 'video/mp4',
 Key: 'whoever/whatever.mp4',
 Body: PassThroughStream
 });
 } catch (error) {
 console.log(`s3Upload error`, error)
 }


If I set the pipe
output()option to{end: false}then there is no error from fluent-ffmpeg and I get"Processing: 100% done FFMpeg Processing finished!"as the final console log.

BUT the problem is that the
s3Upload()does not do anything. There are no errors. Just no activity.

I feel very uncomfortable letting
fluent-ffmpegend in an error even if the code itself does the job intended. It will also cause testing to fail. What could be the issue ?

The command line code is :
ffmpeg -i https:/xxxbucket.s3.amazonaws.com/14555/file-example.mp4 -acodec libmp3lame -vcodec libx264 -filter:v scale=w=trunc(oh*a/2)*2:h=480 -f mp4 -movflags dash pipe:1

- pipe option
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