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Autres articles (49)
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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 (...) -
MediaSPIP version 0.1 Beta
16 avril 2011, parMediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir
Sur d’autres sites (11899)
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FFmpeg recorded video is dark with Xvfb and chrome headless on Centos 7
15 juin 2023, par narsy4I am trying to do a video recording of headless chrome session on Centos 7 (Amazon EC2 instance) using ffmpeg. I have installed ffmpeg, Xvfb and google chrome on the machine. I started Xvfb on :99, verified the display using xdpyinfo and started chrome. However when I run the ffmpeg cmd to capture the video (no errors in ffmpeg debug logs), the output is dark with a X sign in the centre of video screen. What am I doing wrong here ? Any help is appreciated.


**Xvfb and chrome commands**
Xvfb :99 -screen 0 1920x1080x24 &
export DISPLAY=:99
google-chrome --headless --disable-gpu --no-sandbox --start-maximized --window-size=1920x1080 https://www.google.com




**FFmpeg command**
ffmpeg -video_size 1920x1080 -framerate 30 -f x11grab -i :99 -loglevel debug -pix_fmt yuv420p /tmp/video.mp4






Searched for and read a few threads on this, but couldn't get it to work.


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Encoding audio_common messages to OPUS
14 juin 2023, par djangbahevans

I am trying to stream microphone and camera data to Amazon KVS WebRTC. I'm able to make video work using this package (adapted for noetic) however I am struggling to make audio work. I'm using the audio_capture package to get mp3 frames. I'm trying to convert this to OPUS frames before streaming to KVS, but I'm unsure how to do this. I wrote this bit of code based on the small resources I can find on using ffmpeg, but it's not working.
avcodec_fill_audio_frame
is returning -22.

#include "opus_encoder.h"

OPUSEncoder::OPUSEncoder() {
 av_register_all();
 codecContext == nullptr;
}

OPUSEncoder::~OPUSEncoder() {
 if (codecContext != nullptr) {
 avcodec_free_context(&codecContext);
 }
}

int OPUSEncoder::Initialize(int Fs, int channels) {
 AVCodec *codec = avcodec_find_encoder(AV_CODEC_ID_OPUS);
 if (!codec) {
 printf("Codec not found\n");
 return -1;
 }

 codecContext = avcodec_alloc_context3(codec);
 if (!codecContext) {
 printf("Could not allocate audio codec context\n");
 return -1;
 }

 codecContext->sample_fmt = AV_SAMPLE_FMT_S16;
 codecContext->bit_rate = 128000;
 codecContext->sample_rate = Fs;
 codecContext->channel_layout = av_get_default_channel_layout(channels);
 codecContext->channels = channels;

 if (avcodec_open2(codecContext, codec, nullptr) < 0) {
 printf("Could not open codec\n");
 return -1;
 }

 return 0;
}

int OPUSEncoder::Encode(const uint8_t *audio_data, int frameSize,
 uint8_t *out) {
 AVPacket pkt;
 av_init_packet(&pkt);
 pkt.data = nullptr;
 pkt.size = 0;

 AVFrame *frame = av_frame_alloc();
 frame->nb_samples = frameSize;
 frame->format = codecContext->sample_fmt;
 frame->channel_layout = codecContext->channel_layout;

 int ret = avcodec_fill_audio_frame(frame, codecContext->channels,
 codecContext->sample_fmt, audio_data,
 frameSize * 2, 0);
 if (ret < 0) {
 printf("Error filling audio frame: %d\n", ret);
 return -1;
 }

 ret = avcodec_send_frame(codecContext, frame);
 if (ret < 0) {
 printf("Error sending the frame to the encoder\n");
 return -1;
 }

 while (ret >= 0) {
 ret = avcodec_receive_packet(codecContext, &pkt);
 if (ret == AVERROR(EAGAIN) || ret == AVERROR_EOF) {
 return 0;
 } else if (ret < 0) {
 printf("Error encoding audio frame\n");
 return -1;
 }

 memcpy(out, pkt.data, pkt.size);
 out += pkt.size;
 av_packet_unref(&pkt);
 }

 av_frame_free(&frame);

 return 0;
}



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AWS Lambda in Node JS with FFMPEG Lambda Layer
29 mars 2023, par mwcwge23I'm trying to make a Lambda that takes a video and puts a watermark image on it.
I'm using Lambda with NodeJS and FFMPEG Lambda Layer I took from here :
https://serverlessrepo.aws.amazon.com/applications/us-east-1/145266761615/ffmpeg-lambda-layer


I got these two errors and I don't have a clue what do I did wrong :
errors


Please help me :)


(by the way, if you have an easier solution to put a watermark image on video that'll also be great)


That's my code (trying to put a watermark image on a video file) :


const express = require("express");
const childProcess = require("child_process");
const path = require("path");
const fs = require("fs");
const util = require("util");
const os = require("os");
const { fileURLToPath } = require("url");
const { v4: uuidv4 } = require("uuid");
const bodyParser = require("body-parser");
const awsServerlessExpressMiddleware = require("aws-serverless-express/middleware");
const AWS = require("aws-sdk");
const workdir = os.tmpdir();

const s3 = new AWS.S3();

// declare a new express app
const app = express();
app.use(bodyParser.json());
app.use(awsServerlessExpressMiddleware.eventContext());

// Enable CORS for all methods
app.use(function (req, res, next) {
 res.header("Access-Control-Allow-Origin", "*");
 res.header("Access-Control-Allow-Headers", "*");
 next();
});

const downloadFileFromS3 = function (bucket, fileKey, filePath) {
 "use strict";
 console.log("downloading", bucket, fileKey, filePath);
 return new Promise(function (resolve, reject) {
 const file = fs.createWriteStream(filePath),
 stream = s3
 .getObject({
 Bucket: bucket,
 Key: fileKey,
 })
 .createReadStream();
 stream.on("error", reject);
 file.on("error", reject);
 file.on("finish", function () {
 console.log("downloaded", bucket, fileKey);
 resolve(filePath);
 });
 stream.pipe(file);
 });
};

const uploadFileToS3 = function (bucket, fileKey, filePath, contentType) {
 "use strict";
 console.log("uploading", bucket, fileKey, filePath);
 return s3
 .upload({
 Bucket: bucket,
 Key: fileKey,
 Body: fs.createReadStream(filePath),
 ACL: "private",
 ContentType: contentType,
 })
 .promise();
};

const spawnPromise = function (command, argsarray, envOptions) {
 return new Promise((resolve, reject) => {
 console.log("executing", command, argsarray.join(" "));
 const childProc = childProcess.spawn(
 command,
 argsarray,
 envOptions || { env: process.env, cwd: process.cwd() }
 ),
 resultBuffers = [];
 childProc.stdout.on("data", (buffer) => {
 console.log(buffer.toString());
 resultBuffers.push(buffer);
 });
 childProc.stderr.on("data", (buffer) => console.error(buffer.toString()));
 childProc.on("exit", (code, signal) => {
 console.log(`${command} completed with ${code}:${signal}`);
 if (code || signal) {
 reject(`${command} failed with ${code || signal}`);
 } else {
 resolve(Buffer.concat(resultBuffers).toString().trim());
 }
 });
 });
};

app.post("/api/addWatermark", async (req, res) => {
 try {
 const bucketName = "bucketName ";
 const uniqeName = uuidv4() + Date.now();
 const outputPath = path.join(workdir, uniqeName + ".mp4");
 const key = "file_example_MP4_480_1_5MG.mp4";
 const localFilePath = path.join(workdir, key);
 const watermarkPngKey = "watermark.png";
 const watermarkLocalFilePath = path.join(workdir, watermarkPngKey);

 downloadFileFromS3(bucketName, key, localFilePath)
 .then(() => {
 downloadFileFromS3(bucketName, watermarkPngKey, watermarkLocalFilePath)
 .then(() => {
 fs.readFile(localFilePath, (err, data) => {
 if (!err && data) {
 console.log("successsss111");
 }
 });
 fs.readFile(watermarkLocalFilePath, (err, data) => {
 if (!err && data) {
 console.log("successsss222");
 }
 });

 fs.readFile(outputPath, (err, data) => {
 if (!err && data) {
 console.log("successsss3333");
 }
 });

 spawnPromise(
 "/opt/bin/ffmpeg",
 [
 "-i",
 localFilePath,
 "-i",
 watermarkLocalFilePath,
 "-filter_complex",
 `[1]format=rgba,colorchannelmixer=aa=0.5[logo];[0][logo]overlay=5:H-h-5:format=auto,format=yuv420p`,
 "-c:a",
 "copy",
 outputPath,
 ],
 { env: process.env, cwd: workdir }
 )
 .then(() => {
 uploadFileToS3(
 bucketName,
 uniqeName + ".mp4",
 outputPath,
 "mp4"
 );
 });
 });
 });
 } catch (err) {
 console.log({ err });
 res.json({ err });
 }
});

app.listen(8136, function () {
 console.log("App started");
});

module.exports = app;