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Autres articles (15)
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Other interesting software
13 avril 2011, parWe don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
We don’t know them, we didn’t try them, but you can take a peek.
Videopress
Website : http://videopress.com/
License : GNU/GPL v2
Source code : (...) -
Supporting all media types
13 avril 2011, parUnlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)
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Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page.
Sur d’autres sites (3530)
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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;